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Dissertations / Theses on the topic 'Planning systems'
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Martz, William Benjamin Jr. "Information systems infrastructure for manufacturing planning systems." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184720.
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This dissertation describes the successful implementation of a work group infrastructure to support electronic meetings. An exploratory study was undertaken to observe and document the broad range of activities necessary to implement an infrastructure for work groups in a field setting. Activities falling within the scope of this dissertation include the design of a set of work group software tools, the implementation of that software, the gathering of field data, and the interpretation of those data in reference to the software's impact. The dissertation also reports on the effects of the implementation on work group performance, group characteristics, task characteristics, and the technology itself. The final product of the study is a set of factors critical for the successful implementation of a work group infrastructure, including observations and insights related to facility design, software design, facilitation training, and management involvement.
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Vonk, Guido A. "Improving planning support : the use of planning support systems for spatial planning /." Utrecht : Koninklijk Nederlands Aardrijkskundig Genootschap, 2006. http://www.loc.gov/catdir/toc/fy0802/2006436743.html.
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Goodspeed, Robert (Robert Charles). "Planning support systems for spatial planning through social learning." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81739.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2013.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (p. 240-271).<br>This dissertation examines new professional practices in urban planning that utilize new types of spatial planning support systems (PSS) based on geographic information systems (GIS) software. Through a mixed-methods research design, the dissertation investigates the role of these new technologies in planning workshops, processes, and as metropolitan infrastructures. In particular, PSS are viewed as supporting social learning in spatial planning processes. The study includes cases in Boston, Kansas City, and Austin. The findings indicate high levels of social learning, broadly confirming the collaborative planning theory literature. Participants at planning workshops that incorporated embodied computing interaction designs reported higher levels of two forms of learning drawn from Argyris and Schöns' theory of organizational learning: single and double loop learning. Single loop learning is measured as reported learning. Double loop learning, characterized by deliberation about goals and values, is measured with a novel summative scale. These workshops utilized PSS to contribute indicators to the discussion through the use of paper maps for input and human operators for output. A regression analysis reveals that the PSS contributed to learning by encouraging imagination, engagement, and alignment. Participantsʼ perceived identities as planners, personality characteristics, and frequency of meeting attendance were also related to the learning outcomes. However, less learning was observed at workshops with many detailed maps and limited time for discussion, and exercises lacking PSS feedback. The development of PSS infrastructure is investigated by conducting a qualitative analysis of focus groups of professional planners, and a case where a PSS was planned but not implemented. The dissertation draws on the research literatures on learning, PSS and urban computer models, and planning theory. The research design is influenced by a sociotechnical perspective and design research paradigms from several fields. The dissertation argues social learning is required to achieve many normative goals in planning, such as institutional change and urban sustainability. The relationship between planning processes and outcomes, and implications of information technology trends for PSS and spatial planning are discussed.<br>by Robert Goodspeed.<br>Ph.D.
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MOSTARDEIRO, MARIANA. "METHODS FOR WCDMA SYSTEMS PLANNING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2003. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=5095@1.
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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Este trabalho apresenta um estudo detalhado de técnicas de
planejamento de sistemas celulares de terceira geração
WCDMA. Primeiramente é realizado um estudo teórico do
sistema WCDMA, da estrutura da interface aérea, dos
diversos tipos de canais presentes no downlink e no uplink.
A seguir são aprentadas técnicas de planejamento de rede,
com uma análise detalhada do cálculo de enlace e do
planejamento de cobertura do sistema celular. Com base
neste estudo foram realizadas diversas simulações com o
software aberto NPSW para diferentes situações em relação a
tipos de serviço, condições de uso e carga no sistema.
Estas simulações permitiram caracterizar os efeitos dos
diversos parâmetros de entrada no desempenho do sistema.
Finalmente, é apresentado um estudo de caso de planejamento
para a região do centro do Rio de Janeiro.<br>This work presents a detailed study of planning tecniques
for third generation WCDMA cellular systems. At first a
theoretical study of the WCDMA system is presented,
including the structure of the air interface and the
various channel types in the downlink and uplink.
Following, network planning techniques are presented, with
a detailed analysis of the link budget calculations
and the system coverage planning issues. Based on this
study, the system behaviour was simulated using the open
software NPSW for different configurations of service,
operation condition and system load. The simulations
allowed the characterization of the effect of several
parameters on the system performance. Finally, a case
study of coverage planning for downtown Rio de Janeiro is
presented.
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Salter, Mark. "Planning systems for small firms." Thesis, Sheffield Hallam University, 1989. http://shura.shu.ac.uk/20316/.
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A study was carried out into the planning practices of four small building firms through interviews and questionnaires. The techniques of systems analysis were used to model the information flows through the firms. These revealed the firms to suffer from problems of integration between planning and other functions. The breakdown of the work for one function often did not suit the purposes of others. Project data often had to be regenerated. The firms did not evaluate their performance systematically in a way that would be of benefit to future contracts. A specification for a new system was developed to eliminate these deficiencies and to take advantage of the power of the microcomputer. The system derived data from the estimate. A work breakdown structure allowed the integration of planning, targeting, progress reporting, reporting of hours, and valuations. The database of estimate operations was maintained through an analysis of timesheets. Information for the scheduling of materials and subcontractors could be derived from the resulting programme. The small firms problem of integrating the demands imposed by a fluctuating workload on a relatively inflexible labour supply was considered. The use of decision rules to resolve conflicts through the levelling of a multiproject schedule was investigated. A large number of rules were developed using a spreadsheet operating in conjunction with a planning package. These were tested on a number of prototype workloads and assessed by various criteria. After further development a consistently good rule was found. This rule, and that encoded within the planning software, were applied to the levelling of the workload of one of the collaborating firms at various stages of progress over a three month period. The new rule continued to perform well. The feasibility of deriving planning data direct from the estimate, and of using timesheet data both to update programmes and to evaluate performance was demonstrated. The firms' methods of materials procurement and handling were investigated. It was found that their collection of materials from suppliers was poorly organised.
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Rosengren, Alexandra, and Andrea Standoft. "Control in gazelle organizations : Research on management systems, enterprise resource planning systems and strategic planning." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, ESOL (Entrepreneurship, Strategy, Organization, Leadership), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-15761.
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Abstract Background - Not all companies choose or are able to grow, especially not in an unstable economic climate. However, fast growing organizations (gazelles) have managed to grow with a significant pace. As researchers claim control to be one factor in developing an organization, this lead the authors to question whether these gazelle organizations perceive control systems to contribute to their rapid growth. Purpose - The authors wish to investigate whether strategic planning, enterprise resource planning and management system, as three different components of control, are present in gazelle organizations, and if they are perceived as contributors to growth. Method - The authors use a quantitative research approach and used a survey in order to capture the wider perspective of control. The chosen population is Swedish medium sized gazelle organizations. In order to analyze the findings, modified 6-point Likert-scale statements are included in the survey, where the authors interpret whether the respondents agree or disagree to the chosen statements, which are incorporated through the literature review. In addition to this, ANOVA tests are included to establish if there are significant differences among users and nonusers of the different control systems. Conclusion - The conclusions drawn from this study is that the usage of strategic planning and an enterprise resource planning system is common among the participating organizations. However, the majority do not use a management system. Despite the level of usage of the three different control systems, they are all perceived as beneficial for the organizations, and the respondents do believe that the systems contribute to their growth. In addition, there is no significant proof that there is a relationship between growth and using the control systems, when comparing the percentage increase in growth with using the different control systems.
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Eckert, Jeanette Elizabeth. "Food systems, planning and quantifying access : how urban planning can strengthen Toledo's local food system." Toledo, Ohio : University of Toledo, 2010. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=toledo1271266072.
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Thesis (M.A.)--University of Toledo, 2010.<br>Typescript. "Submitted to the Graduate Faculty as partial fulfillment of the requirements for the Master of Arts Degree in Geography." "A thesis entitled"--at head of title. Title from title page of PDF document. Bibliography: p. 52-57.
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Eckert, Jeanette Elizabeth. "Food Systems, Planning and Quantifying Access: How Urban Planning Can Strengthen Toledo’s Local Food System." University of Toledo / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1271266072.
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Basit, Syed Abdul, and Omar Malik. "Planning and Analysis of Knowledge Intensive Enterprise Resource Planning Systems." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4327.
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ERP software and applications have become basic requirement of almost every organization in order to compete with each other and in time constraint. In order to develop an efficient application, project planning and analysis play very important role in better understanding of the problem domain and to provide a risk free solution. There are many different approaches which software developers used to develop the systems. These traditional approaches have some drawbacks and constraints. Either these are ad-hoc basis or have some fixed patterns and rules. We discussed all these techniques and suggest that planning and analysis of ERP application during its development can be done by applying more appropriate knowledge engineering commonKADS model. CommonKADS is a structured approach, It comprises of different model suites. Thesis presents that by using commonKADS model for project planning and analysis, real problem domain and efficient solution can be identified. Also domain process is identified. Tasks related to each process in the domain are identified. Knowledge assets related to each task are identified. These features help in defining real knowledge specification. In this way, ERP applications can be made knowledge based. ERP systems were introduced to solve different organizational problems and provide integrated structure. Although ERP packages offer advantages to enterprises, they have not achieved many of their anticipated benefits. Autonomous and heterogeneous applications co-exist in companies with ERP systems and integration problem having not been addressed. This thesis seeks to make some suggestions to this area by studying and analyzing ERP problems, through mapping commonKADS methodology in a case study. Thesis in start, presents an overview about ERP applications, Knowledge Engineering and commonKADS methodology. In the end, thesis presents our contribution a case study ―online courses Registration Portal for BTH which shows that planning and analysis of ERP applications by using commonKADS methodology helps in reaching knowledge based and more accurate solutions.<br>Syed Abdul Basit basitbth@gmail.com, Omar Malik omar_m20@hotmail.com.
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Manaf, Afwarman 1962. "Constraint-based software for broadband networks planninga software framework for planning with the holistic approach /." Monash University, Dept. of Electrical and Computer Systems Engineering, 2000. http://arrow.monash.edu.au/hdl/1959.1/8163.
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El, Zein Musadag. "Off-grid Wind Power Systems: Planning and Decision Making." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-396057.
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There are definitely many reasons for choosing off-grid wind power systems. Few key ones involve the positive enhancement of societies, economies and natural environments. From a project developers’ perspective these systems provide a large potential market, which can cover a wide range of applications with relatively reasonable costs. In spite of this, many challenges may interfere with the diffusion and the success of such systems. In the report we discuss the various factors affecting the implementation of off-grid wind power systems and demonstrate some of the challenges project developers may be facing during the planning stage. Some of these include the acceptance of stakeholders (local inhabitants in particular) and the securing of the financing of the projects. Another noted challenge lying outside the control of project developers was found to be the absence of encouraging policies and incentives. As a conclusion the thesis provides a set of self-interpreted recommendations along with a flow chart. The concluded summary indicates some key factors that project developers should be aware of and careful when dealing with, these which include: The choice of the site, verification of projects’ economics along with the securing of a convenient finance. The recommendations also point out the great advantage in having local developers as these tend to be more capable in building relations with the local citizens and politicians.
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Wegner, Christopher M. "System-of-systems test planning in a complex joint environment." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Jun%5FWegner.pdf.
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Thesis (M.S. in Operations Research)--Naval Postgraduate School, June 2007.<br>Thesis Advisor(s): Thomas W. Lucas. "June 2007." Includes bibliographical references (p. 65-66). Also available in print.
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Kenaroglu, Bahar. "Enterprise Resource Planning Systems Selection Process." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605086/index.pdf.
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In this study, a research is developed to establish a comprehensive framework for ERP systems selection process and provide guidance for better ERP systems selection and evaluation by investigating all the aspects of the selection process. The research is conducted through a comprehensive study prior to key information systems journals, conferences, overall enterprise information systems materials in electronic databases, and also in practitioner journals. As a result, the study is able to present a comprehensive framework for ERP systems selection process, identify the problematic issues, reveal the ways to improve the selection activities, and present a road-map for the selection process.
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Kahen, Goel. "Strategic planning systems in technological development." Thesis, Imperial College London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336467.
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Mrsic-Flogel, Janko. "Aspects of planning with neural systems." Thesis, Imperial College London, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284305.
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Akillioglu, Hakan. "Evolvable Production Systems: Demand Responsive Planning." Licentiate thesis, KTH, Produktionssystem, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-48562.
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Dynamic and unforeseeable characteristic of the current market and production environment is not feasible to be met through pre-set parameters being dependent on the predictions. Handling this matter requires to keep focus on production system adaptability. Evolvable Production System has achieved fully system reconfigurability through process oriented modularity and multi agent based distributed control system architecture. One of the essential enhancements provided by EPS on the shop floor is achieving minimized/eliminated system setup time in response to changing product requirements. Manufacturing planning and control system, on the other hand, follows hierarchical principles which are quite much reliant on the predicted information so to structure production and planning environment on it. Production system limitations, such as lack of adaptability in response to changing conditions, are in fact influencing the planning system to be structured on the predictions. The enhancements which are ensured by the architecture of EPS enable to relax the constraints on planning system which are imposed by the limitations of production system. These enhancements have an effect at different levels in the planning hierarchy. On the light of these improvements, the planning framework as it is used so far in the industry becomes invalid and this arise a requirement for planning system structure to be designed according to a fully reconfigurable system to be able to benefit such a production system by all means. This thesis targets to enlighten the relation between the production system characteristics and planning system structure by emphasizing the planning problems and proposing a planning reference architecture solution to be able achieve a responsive planning framework.<br><p>QC 20140916</p>
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Garagnani, Massimiliano. "Belief systems for persuasive discourse planning." Thesis, Durham University, 1999. http://etheses.dur.ac.uk/4302/.
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This thesis is concerned with the problem of construction of the logical structure of a persuasive discourse. A persuasive discourse can be defined as a monodirectional form of communication, generated by a speaker in order to convince a hearer about the validity (or fallacy) of a specific belief The construction of the structure of a persuasive discourse is realized, in this work, through the adoption of two basic elements: a belief system and a planning system. The planning system is used as a tool for the automatic generation of the discourse structure (or plan), obtained through the decomposition of the assigned (communicative) goals of persuasion, aimed at producing specific effects on the hearer’s beliefs. The belief system is adopted in order to endow the planning process with a formal language of beliefs for the representation of such goals, and with the mechanisms which govern the propagation of their (expected) effects on the rest of the hearer's belief state. The main results presented consist of the formalization of a paradigm for specification of belief systems, and of a method — whose correctness is formally proved — for their integration with planning systems. The formalization of a belief system for discourse structure representation (defined in accordance with the theoretical paradigm) is also given, together with the description of its implementation and integration with a specific planner, which resulted in the actual completion of a system for the automatic generation of persuasive discourse plans.
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Torreño, Lerma Alejandro. "Cooperative planning in multi-agent systems." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/65815.
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[EN] Automated planning is a centralized process in which a single planning entity, or agent, synthesizes a course of action, or plan, that satisfies a desired set of goals from an initial situation. A Multi-Agent System (MAS) is a distributed system where a group of autonomous agents pursue their own goals in a reactive, proactive and social way.
Multi-Agent Planning (MAP) is a novel research field that emerges as the integration of automated planning in MAS. Agents are endowed with planning capabilities and their mission is to find a course of action that attains the goals of the MAP task. MAP generalizes the problem of automated planning in domains where several agents plan and act together by combining their knowledge, information and capabilities.
In cooperative MAP, agents are assumed to be collaborative and work together towards the joint construction of a competent plan that solves a set of common goals. There exist different methods to address this objective, which vary according to the typology and coordination needs of the MAP task to solve; that is, to which extent agents are able to make their own local plans without affecting the activities of the other agents.
The present PhD thesis focuses on the design, development and experimental evaluation of a general-purpose and domain-independent resolution framework that solves cooperative MAP tasks of different typology and complexity. More precisely, our model performs a multi-agent multi-heuristic search over a plan space. Agents make use of an embedded search engine based on forward-chaining Partial Order Planning to successively build refinement plans starting from an initial empty plan while they jointly explore a multi-agent search tree. All the reasoning processes, algorithms and coordination protocols are fully distributed among the planning agents and guarantee the preservation of the agents' private information.
The multi-agent search is guided through the alternation of two state-based heuristic functions. These heuristic estimators use the global information on the MAP task instead of the local projections of the task of each agent. The experimental evaluation shows the effectiveness of our multi-heuristic search scheme, obtaining significant results in a wide variety of cooperative MAP tasks adapted from the benchmarks of the International Planning Competition.<br>[ES] La planificación automática es un proceso centralizado en el que una única entidad de planificación, o agente, sintetiza un curso de acción, o plan, que satisface un conjunto deseado de objetivos a partir de una situación inicial. Un Sistema Multi-Agente (SMA) es un sistema distribuido en el que un grupo de agentes autónomos persiguen sus propias metas de forma reactiva, proactiva y social.
La Planificación Multi-Agente (PMA) es un nuevo campo de investigación que surge de la integración de planificación automática en SMA. Los agentes disponen de capacidades de planificación y su propósito consiste en generar un curso de acción que alcance los objetivos de la tarea de PMA. La PMA generaliza el problema de planificación automática en dominios en los que diversos agentes planifican y actúan conjuntamente mediante la combinación de sus conocimientos, información y capacidades.
En PMA cooperativa, se asume que los agentes son colaborativos y trabajan conjuntamente para la construcción de un plan competente que resuelva una serie de objetivos comunes. Existen distintos métodos para alcanzar este objetivo que varían de acuerdo a la tipología y las necesidades de coordinación de la tarea de PMA a resolver; esto es, hasta qué punto los agentes pueden generar sus propios planes locales sin afectar a las actividades de otros agentes.
La presente tesis doctoral se centra en el diseño, desarrollo y evaluación experimental de una herramienta independiente del dominio y de propósito general para la resolución de tareas de PMA cooperativa de distinta tipología y nivel de complejidad. Particularmente, nuestro modelo realiza una búsqueda multi-agente y multi-heurística sobre el espacio de planes. Los agentes hacen uso de un motor de búsqueda embebido basado en Planificación de Orden Parcial de encadenamiento progresivo para generar planes refinamiento de forma sucesiva mientras exploran conjuntamente el árbol de búsqueda multiagente. Todos los procesos de razonamiento, algoritmos y protocolos de coordinación están totalmente distribuidos entre los agentes y garantizan la preservación de la información privada de los agentes.
La búsqueda multi-agente se guía mediante la alternancia de dos funciones heurísticas basadas en estados. Estos estimadores heurísticos utilizan la información global de la tarea de PMA en lugar de las proyecciones locales de la tarea de cada agente. La evaluación experimental muestra la efectividad de nuestro esquema de búsqueda multi-heurístico, que obtiene resultados significativos en una amplia variedad de tareas de PMA cooperativa adaptadas a partir de los bancos de pruebas de las Competición Internacional de Planificación.<br>[CAT] La planificació automàtica és un procés centralitzat en el que una única entitat de planificació, o agent, sintetitza un curs d'acció, o pla, que satisfau un conjunt desitjat d'objectius a partir d'una situació inicial. Un Sistema Multi-Agent (SMA) és un sistema distribuït en el que un grup d'agents autònoms persegueixen les seues pròpies metes de forma reactiva, proactiva i social.
La Planificació Multi-Agent (PMA) és un nou camp d'investigació que sorgeix de la integració de planificació automàtica en SMA. Els agents estan dotats de capacitats de planificació i el seu propòsit consisteix en generar un curs d'acció que aconseguisca els objectius de la tasca de PMA. La PMA generalitza el problema de planificació automàtica en dominis en què diversos agents planifiquen i actúen conjuntament mitjançant la combinació dels seus coneixements, informació i capacitats.
En PMA cooperativa, s'assumeix que els agents són col·laboratius i treballen conjuntament per la construcció d'un pla competent que ressolga una sèrie d'objectius comuns. Existeixen diferents mètodes per assolir aquest objectiu que varien d'acord a la tipologia i les necessitats de coordinació de la tasca de PMA a ressoldre; és a dir, fins a quin punt els agents poden generar els seus propis plans locals sense afectar a les activitats d'altres agents.
La present tesi doctoral es centra en el disseny, desenvolupament i avaluació experimental d'una ferramenta independent del domini i de propòsit general per la resolució de tasques de PMA cooperativa de diferent tipologia i nivell de complexitat. Particularment, el nostre model realitza una cerca multi-agent i multi-heuristica sobre l'espai de plans. Els agents fan ús d'un motor de cerca embegut en base a Planificació d'Ordre Parcial d'encadenament progressiu per generar plans de refinament de forma successiva mentre exploren conjuntament l'arbre de cerca multiagent. Tots els processos de raonament, algoritmes i protocols de coordinació estan totalment distribuïts entre els agents i garanteixen la preservació de la informació privada dels agents.
La cerca multi-agent es guia mitjançant l'aternança de dues funcions heurístiques basades en estats. Aquests estimadors heurístics utilitzen la informació global de la tasca de PMA en lloc de les projeccions locals de la tasca de cada agent. L'avaluació experimental mostra l'efectivitat del nostre esquema de cerca multi-heurístic, que obté resultats significatius en una ampla varietat de tasques de PMA cooperativa adaptades a partir dels bancs de proves de la Competició Internacional de Planificació.<br>Torreño Lerma, A. (2016). Cooperative planning in multi-agent systems [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/65815<br>TESIS<br>Premiado
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Hawkins, Janine D. "Planning and implementing safety management systems." Thesis, Aston University, 2001. http://publications.aston.ac.uk/11768/.
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This thesis describes a study of the content and applicability of BS8800:1996 Guide to occupational health and safety management systems. The research is presented chronologically, with literature review and content analysis of SMS related guides and standards interwoven with two elements of qualitative empirical work. The first of these was carried out shortly after publication of BS8800 in 1996, a 'before-the-event' investigation of how organisations were intending to approach SMS implementation. The challenges faced by these organisations are reviewed against standard management theory, suggesting that the initial motivation for SMS implementation governs the approach organisations will adopt to guidance such as BS8800. The second phase of empirical work was undertaken in the context of OHSAS 18001, an auditable protocol based on BS8800, which allows organisations to certify their safety management systems. A discussion of the evolution of certifiable safety management system is presented, highlighting the similarities and differences between this, BS8800, SMS and wider management system standards. A case study then reviews the experiences of a catering company that implemented 18001, motivated by the opportunity for certification as a business benefit. The empirical work is used to comment on the guidance provided by BS8800, within its evolved role as guidance organisations may use for implementation of a SMS to be certified according to the specifications of OHSAS 18001. It is suggested that optimal implementation is facilitated by initial status review, continual improvement and the use of annexes, where there are used to make changes to the existing safety management system. This thesis concludes with a discussion of these elements, highlighting pertinent areas within BS8800 where revision or amendment may be appropriate.
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Matrosov, E. S. "Planning water resource systems under uncertainty." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1468958/.
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Stationarity assumptions of linked human-water systems are frequently invalid given the difficult-to-predict changes affecting such systems. Population growth and development is fuelling rising water demand whilst in some parts of the world water supply is likely to decrease as a result of a changing climate. A combination of infrastructure expansion and demand management will be necessary to maintain the water supply/demand balance. The inherent uncertainty of future conditions is problematic when choosing a strategy to upgrade system capacity. Additionally, changing stakeholder priorities mean multi-criteria planning methods are increasingly relevant. Various modelling-assisted approaches are available to help the water supply planning process. This thesis investigates three state-of-the-art multi-criteria water source systems planning approaches. The first two approaches seek robust rather than optimal solutions; they both use scenario simulation to test the system plans under different plausible versions of the future. Under Robust Decision Making (RDM) alternative strategies are simulated under a wide range of plausible future scenarios and regret analysis is used to select an initial preferred strategy. Statistical cluster analysis identifies causes of system failure enabling further plan improvement. Info-Gap Decision Theory tests the proposed strategies under plausible conditions that progressively deviate from the expected future scenario. Decision makers then use robustness plots to determine how much uncertain parameters can deviate from their expected value before the strategies fail. The third approach links a water resource management simulator and a many-objective evolutionary search algorithm to reveal key trade-offs between performance objectives. The analysis shows that many-objective evolutionary optimisation coupled with state-of-the art visual analytics helps planners assess the best (approximately Pareto-optimal) plans and their inherent trade-offs. The alternative plans are evaluated using performance measures that minimise costs and energy use whilst maximising engineering and environmental performance criteria subject to basic supply reliability constraints set by regulators. The analyses show that RDM and Info-Gap are computationally burdensome but are able to consider a small number of candidate solutions in detail uncovering the solutions’ vulnerabilities in the face of uncertainty in future conditions while the multi-objective optimisation approach is able to consider many more possible portfolios and allow decision makers to visualize the trade-offs between performance metrics.
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Liu, Tuo. "Analytical modeling of HSUPA-enabled UMTS networks for capacity planning." Connect to full text, 2008. http://ses.library.usyd.edu.au/handle/2123/4055.
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Thesis (Ph. D.)--University of Sydney, 2009.<br>Title from title screen (viewed February 20, 2009). Includes graphs and tables. Includes list of publications co-authored with others. Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Information Technologies, Faculty of Engineering and Information Technologies. Degree awarded 2009; thesis submitted 2008. Includes bibliographical references. Also available in print form.
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Manaf, Afwarman 1962. "Constraint-based software for broadband networks planning : a software framework for planning with the holistic approach." Monash University, Dept. of Electrical and Computer Systems Engineering, 2000. http://arrow.monash.edu.au/hdl/1959.1/7754.
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Jha, Ratan (Ratan Mohan). "Customer focused collaborative demand planning." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45225.
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Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2008.<br>Includes bibliographical references (leaf 74).<br>Many firms worldwide have adopted the process of Sales & Operations Planning (S&OP) process where internal departments within a firm collaborate with each other to generate a demand forecast. In a collaborative demand planning process buyers and sellers collaborate with each other to generate a mutually agreed upon forecast which takes into account the needs and limitations of both buyers and sellers. In this research we concentrate on finding out the value from both statistical and qualitative forecasts. We apply standard forecasting algorithms to generate a statistical forecast. We also generate a hybrid model that is a weighted technique using both a statistical and qualitative forecast. Then we evaluate the statistical, hybrid, and qualitative collaborative forecasts using an error analysis methodology. Finally we recommend an approach for forecasting a family of items based on our analysis and results. We also recommend changes to the existing process so that our recommendations on the forecasting approach can get seamlessly integrated into the overall process.<br>by Ratan Jha.<br>M.Eng.in Logistics
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Cederborg, Ola. "Case studies in Advanced Planning Systems for Tactical Planning in Process Industries." Licentiate thesis, Linköpings universitet, Produktionsekonomi, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-62822.
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This thesis focuses on the use of Advanced Planning System (APSs) in the tactical planning process. In addition, there is a special focus towards process industries. The overall aim is to find out if and how APSs can support the tactical planning processes and add value to the company. A discussion on APSs as such is also presented, as the general definition of APS is unclear. The study is based on three case studies, first a longitudinal case study at a single company, second a in-depth case study at the same company and last a multiple case study at four Scandinavian companies. The case descriptions provide answers to the overall purpose of the thesis, but they also contribute to the general knowledge concerning APSs, as they describe industrial use of these systems. The study reveals several improvements that companies have achieved by implementing APSs and it conclude that APSs can support the tactical planning process. The improvements are seen either as results of process changes needed to implement the APS or the APS itself. Among the improvements, centralizing, automatizing and streamlining of the tactical planning processes are three of the most prominent. But several other improvements are also found, for example improvements concerning the customer service level and inventory levels. Although several successful implementations, it is not uncommon that implementations projects fail, which is why companies need to be careful when deciding to invest in an APS. Factors found to be linked to success concerning APS implementations are discussed, with the APS’s fit to the company’s processes and existing systems along with promotional activities, either by a project champion or the top management, are found to be important.<br>ISCAPS<br>PIC-LI
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APPLEGATE, LYNDA MCDONALD. "IDEA MANAGEMENT IN ORGANIZATION PLANNING (BRAINSTORMING, STRATEGY)." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183905.
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Aided by advances in information technology, decision support systems (DSS) are widely used throughout organizations. These DSS are limited to support of specific structured and semi-structured management tasks for individual decision-makers and use primarily quantitative models. The next step in the evolution of DSS is to support complex, unstructured decision processes using qualitative, creativity enhancement models. The purpose of this research was to design, implement and evaluate an automated system to support complex, unstructured group decision processes. Idea generation and management in organization planning has been chosen as the domain for the system. A DSS architecture has been developed that includes a process management system component in addition to traditional data, dialogue and model management components. A group DSS and knowledge-based management system approach are central features of the system architecture. Software engineering methods were used to design, implement and evaluate the technical feasibility of the prototype system. Action research using participant and structured observation methods was used to study the (1) dynamics of the idea generation process during automated brainstorming, (2) influence of the technology on the idea generation process and (3) satisfaction of the planners with automated brainstorming for idea generation in a group setting. The findings of the research indicate that automated, networked idea generation can assist groups of planners in generating ideas during planning sessions. These ideas were accurately represented and stored and efficiently retrieved using a semantic inheritance network and frame knowledge management system implemented using a specially-designed knowledge representation language developed by the author. Over 100 planners from a variety of organizations used the system. Data indicated that computer brainstorming changed group dynamics, especially group interaction and participation. The anonymity provided by EBS neutralized social inhibitions and, in combination with the capability for parallel idea generation on the computer network, helped equalize participation. Minimal group interaction occurred. Planners using interactive computer brainstorming reported high levels of satisfaction with the process and outcome of the planning session.
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Garmabdari, Rasoul. "Multi-Energy Microgrid Systems Planning and Energy Management Optimisation." Thesis, Griffith University, 2020. http://hdl.handle.net/10072/398878.
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Conventional power systems are predominantly composed of centralised large-scale generation sites that provide electricity to a large number of customers in a top-down unidirectional fashion and through transmission and distribution networks. To increase penetration of Renewable Energy Resources (RES) into this traditional power system and promotion of Distributed Energy Resources (DER) concept as an effective solution to deal with the challenges being faced in the conventional power system such as the energy losses, peak demand, peak generation, the infrastructure depreciation, and environmental effect, Microgrid (MG) concept is introduced. MG is defined as a locally controlled small unit of the power system that usually is in interaction with the main grid and is regarded as the building blocks of future Smart Grids (SGs). However, these systems are also capable of operating independently and isolated from the main grid, particularly in remote areas where access to the main grid is impossible or there is a disruptive event on the power system. The emergence of cutting-edge advances in the energy conversion and energy storage technologies and their commercial availability as well as introduction of various lucrative grid services that both grid and customers can benefit from derived the planners and engineers to further expand the flexibility, resilience and efficiency of MGs. To achieve this, Multi-Energy Microgrid System (MEMGS) concept as an expanded definition of MG was introduced to improve the efficiency of conventional energy systems, reduce air pollution as well as energy utilisation. MEMGS incorporates various energy technologies such as axillary boiler, gas turbine, RESs, thermal and battery energy storage systems that are fed by multiple energywares such as gas and electricity to supply multiple types of demands simultaneously such as electrical, heating and cooling loads. However, the integration of clusters of various technologies and concurrent delivery of different energy services causes additional complexities into the modelling and optimisation of these systems due to the potential interactions of energy vectors and various technologies at the consumer level.
The economic viability of MGs and MEMGSs rely on the configuration and operating management of the technologies. Therefore, is a need to develop an effective and efficient planning framework that can handle the interaction complexities and nonlinearities of the system, determining the most appropriate architecture, selecting the energy conversion and energy storage technologies and energy supply alternatives from a candidate pool. This thesis aims at addressing these challenges by initially developing a comprehensive and accurate dynamic model for MGs and MGESs components, investigating the technical and economic aspects, the nonlinear behaviour, maintenance and degradation phenomena, and uncertainties associated with technologies through Mixed-Integer Linear Programming (MILP) and Mixed Integer Quadratic Programming (MIQP). Then the established model is employed to establish and propose a multi-objective linearised planning optimisation approach. The architecture and choice of equipment of MEMGSs involve various elements such as availability and costs of the energy sources and equipment, and characteristics of the energy demand. Considering these factors, the proposed strategy allocates the size of the components utilised in the MGs and EMMGSs while meeting the defined performance indices such as degradation factor, reliability and grid power fluctuations smoothing indices. Once, the configuration and capacity of components are optimally determined, efficient energy management is required. The last part of this research focuses on energy management system scheduling and optimisation where the EMS scheduling module for MGs and MEMGSs are inspected considering the Time of Use tariff, peak shaving and valley filling functions, degradation of energy storage devices, along with the operating criteria and cost of the energy conversion units. Moreover, a real-time EMS solution is provided to deal with intermittent behaviour of RESs while participating in arbitrage market. The real-time EMS manages the energy flow optimally according to the acquired real-time data and its deviation from the original schedule attained in the scheduling optimisation stage. The primary objective of the EMS module development is to maximise profit while improving the performance of the MEMGSs. Throughout this research, the MILP and MIQP optimisation approach is adopted to achieve a fast convergence while avoiding complexity and long computation time that would cause due to the nonlinear behaviour and complex interaction of the technologies. Finally, having a practical insight into the challenges and concerns with connection adjacent MGs in distribution networks, an efficient centralised EMS optimisation framework is proposed to cope with the limitations and optimise the performance of the system, considering power losses, voltage deviations and nonlinear degradation of the components. The primary objective of this section of research is to achieve the optimal techno-economic solution.<br>Thesis (PhD Doctorate)<br>Doctor of Philosophy (PhD)<br>School of Eng & Built Env<br>Science, Environment, Engineering and Technology<br>Full Text
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Zhou, Kai. "Planning support systems for sustainable urban regeneration." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/planning-support-systems-for-sustainable-urban-regeneration(7f79c557-9384-4541-8a96-52944acab077).html.
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Modern society since the 1970s has been characterised by an ongoing information revolution which has been led by innovations in Information and Communication Technologies (ICTs). Technological breakthroughs have pushed social organisations to constantly adjust themselves to fit new possibilities and demands. But, in spatial planning, comparing to other fields, the influences of the ICT innovations are still limited due to the ‘mismatch’ between real demands and technology supply and ‘bottlenecks’ in implementations. This research is aimed at improving the technological support practice in spatial planning decision-making by, linking the technology supply with planning demand. This is based on both theoretical debate and practical experiences, to develop a new model for a successful Planning Support System (PSS), and to test and implement it in the practice of ‘sustainable urban regeneration’. In this research, new opportunities have been created from matching the innovations of Web 2.0 internet applications and geo-semantic web services with the standing demand on gathering and exchanging knowledge in spatial planning, which facilitate the shift of decision-making towards a more communicative and collaborative mode. To do this, a new PSS framework was proposed for bridging the ICT innovations and the planning world, focusing on the common interest in the positive combination of technology, knowledge and people. A prototype system was designed, developed and implemented with local authorities in Greater Manchester in a case study of sustainable transport planning. The experiences learnt show that: 1) the contradiction between the limited expectations of the planners and the complex technological facilities that the developers offer affected the motivation to take up innovations in the first place; 2) the wider context of planning decision-making, i.e. the changing ideology of public policy-making, affects the acceptance of ICT innovations in practice, 3) the organisational structure and politics within planning institutions can also limit the diffusion of innovations. Besides, the actors (i.e. initiator, developers and targeted users) in technology implementation are often not clearly defined, which causes uncertainties and misunderstandings in the process. Furthermore, there is a dilemma in that using ICT innovations to facilitate policy innovations also means unexpected changes in daily routine or organisational culture, which most governmental departments are not fully ready and willing to accept. Therefore, it is recommended that future development in PSS should: 1) actively embrace the new technologies and interfaces, 2) find suitable ‘use-cases’ which support knowledge exchange in the multi-level and multi-agent plan-making, 3) follow a task-based approach to produce a useful tool with clearly defined purposes, 4) identify the appropriate actors and partnerships for PSS development and implementation and 5) try to institutionalise PSS development and implementation within the planning authority, to minimise resistance caused by non-technical issues and organizational obstacles.
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Piotrowski, Wiktor Mateusz. "Heuristics for AI planning in hybrid systems." Thesis, King's College London (University of London), 2018. https://kclpure.kcl.ac.uk/portal/en/theses/heuristics-for-ai-planning-in-hybrid-systems(bbe2ba21-3449-4689-8bf8-6e441515cd10).html.
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The vast majority of real-world domains feature both discrete and continuous be-haviour to some extent. Translating them into Automated Planning problems is diÿcult, and requires a very expressive modelling language. Furthermore, solving problems in these hybrid domains is challenging for planners due to non-linear sys-tem dynamics, vast search spaces, and a wide range of domain features. Despite these obstacles, planning in hybrid domains has been a growing area in Artificial Intelligence. Eÿcient heuristics are key to solving problems in hybrid domains. This dissertation describes research into domain-independent heuristics designed specifically for mixed discrete-continuous planning problems defined in the PDDL+ modelling language with a particular focus on aerospace applications. To tackle hybrid planning problems, we exploit the planning-via-discretisation approach where the continuous dynamics of a model is approximated with uniform time steps and step-functions. Building on previous research in Automated Plan-ning and model checking, we define a set of domain-independent heuristics designed to reason with all aspects of the PDDL+ feature set as well as non-linear system dynamics. First, we present a relaxation-based heuristic, Staged Relaxed Planning Graph+ (SRPG+) inspired by the Relaxed Planning Graph (RPG) approach used in temporal and numerical planning. We also extend the SRPG+ to validation-free discretisation-based planning. Second, we describe the Policy Abstraction Database (PADB), an extension to the Pattern Database (PDB) heuristic for PDDL+ do-mains. It relies on solving an abstracted and relaxed version of the problem and uses the relaxed solution as a guide to solving the original problem. Next, we define the Polyhedra-based PDB (PolyPDB), an abstraction-based heuristic adapted from state-of-the-art model checking techniques and Pattern Databases. Finally, given that while the field of planning in hybrid domains is growing, the range of avail-able benchmark domains is significantly underdeveloped, we discuss the modelling of novel hybrid domains in PDDL+ and innovative uses for the PDDL+ language. The novel heuristics have been implemented in DiNo, a new heuristic PDDL+ planner. It is based on UPMurphi, a planner set in the planning-as-model-checking paradigm. Results show that our heuristics significantly improve the rate of explo-ration of the search space and facilitate eÿciently finding the goal on a range of novel and existing benchmark PDDL+ domains.
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Roos, Håkan. "Physical Planning of ASIC’s in mobile systems." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8641.
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<p>With increasing demands in terms of timing, area and power, today’s ASIC (Application Specific Integrated Circuit) designers are faced with new problems as technology emerges. Ericsson has started to work in 65 nm and realized that the methods used in previous, larger technologies, does not offer good enough correlation between synthesis and the results after physical placement. This leads to several expensive and time consuming iterations back and forth between Ericsson and the ASIC vendor.</p><p>In order to narrow the gap between Ericsson and the ASIC vendor, and hence increase correlation, physical planning has been identified as a possible solution. Cadence First Encounter, part of the Cadence Encounter digital IC design platform, is an advanced tool for silicon virtual prototyping. The tool basically brings back-end placement knowledge to front-end ASIC designers.</p><p>This master’s thesis main goal is to evaluate Cadence First Encounter and investigate how it could be integrated with Ericsson’s design flow. The tool has been tested on previous designs with known issues and the results are positive. By using the prototype work flow in First Encounter that is described in this report, it is possible to identify and correct issues with the netlists in time, which will help shortening the lead time in projects and hence also the time to market.</p>
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Forsmo, Erik Johannes. "Optimal Path Planning for Unmanned Aerial Systems." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18441.
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This thesis is a contribution to the Unmanned Aerial Vehicle (UAV) project at the Department of Engineering Cybernetics, which is a project where contributions from master students and Phd students will result in an autonomous aerial vehicle. The unmanned vehicle laboratory has its own UAV, the Odin Recce D6 delta-wing aircraft which is to be considered in the overall project. When the UAV is in the air on a mission, one important thing is to ensure that the UAV detects obstacles, such as mountains, buildings and other aircrafts. No-fly areas should be avoided by the path planner. This thesis considers a guidance system that will set up a path from the initial position to the final destination, and make sure that the generated trajectory is safe.One problem with the design of the optimal path has been that the designed path gives textit{corner cutting} when obstacles from the environment is included in the path-planner. To avoid this problem, which happens because discrete time is considered, two different solutions to avoid this problem have been discussed closer. Implementation of constraints and different cost functions for path planning with collision avoidance using the Mixed Integer Linear Programming (MILP) is one of the purposes of this thesis. The MILP algorithm is developed for the case of planar motion where the UAV has to fly around the obstacle, and can't fly over or under it. The design of the path path planner using MILP is done in two different ways. One where obstacles are known at the beginning of the optimization, and one where obstacles are added as information to the path planner when they are in the range of the UAVs radar. It is shown that the implementation with obstacle radar detection is more realistic, and that it also improves the computation time. As the author knows this method has not been published in articles up to this date. Two different approaches for search of a defined area with an arbitrary number of UAVs with camera systems have been developed and implemented through this thesis. As far as the author of this thesis knows these approaches for search have not been published up to this date. Efficient search and low computational complexity has been important design factors during the development of these approaches.The final systems are simulated in MATLAB for some test-scenarios. Also, reflection and discussion on further improvement on the path planning system are included in the report. This includes further improvement of the guidance system using receding horizon strategies.A literature study on path planning with receding horizon has been done.
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Colby, Lisa J. "Some roles for expert systems in planning." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/29925.
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This thesis explores whether computer-based expert systems can be used in planning and, if so, under what circumstances. Expert systems are computer-based programs that solve problems in a way that mimics the human reasoning process. Expert system reasoning relies upon logic and rules-of-thumb rather than the numerical and mathematical algorithms of most other computer programs. Planning has been interpreted in the professional context of urban and regional planning, rather than the cross-disciplinary fiscal or project management planning often implied in computer literature.
To determine expert systems could be useful to planners, the reasons for incompatibility between the nature of planning and conventional computers models of the past are explored. Advantages and disadvantages of expert systems are considered. Expert systems represent substantial improvement in areas where conventional programs are inadequate.
Chapters 2 to 5 form the theoretical base of the thesis. Chapter 2 explains the fundamentals of expert system reasoning and how it differs from other computer software. Chapter 3 outlines reasons why this technology might appeal to planners. Chapter 4 introduces some of the disadvantages of expert systems, including technical limitations, ethical and legal issues. Chapter 5 introduces general guidelines to help the reader understand what type of planning tasks might benefit from the use of this new tool.
Chapters 6 to 8 consider issues raised in the preceding chapters. Three Canadian
systems now at the forefront of expert systems applications to planning are reviewed in chapters 6, 7 and 8 Respectively. The first application, HERMES, is an emergency planning application. It advises emergency response personnel during crises involving hazardous materials. SCREENER is an environmental planning application. It assists environmental officers at Transport Canada to assess simple capital projects for environmental impact statements and screen out more complicated ones for further review. The third application used for illustrative purposes, PLANCHECKER, is a municipal planning example. The system assists plan checkers at City Hall in assessing building plans.
The three case-studies satisfy the task suitability guidelines quite well and appear to be successful applications of expert systems to planning. It is still too early to draw definite conclusions, but it is likely the technology will prove useful to planners. Planners should be prepared understand both the potential and limitations of expert systems so they can use the technology wisely.<br>Applied Science, Faculty of<br>Community and Regional Planning (SCARP), School of<br>Graduate
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Bonert, Martin. "Motion planning for multi-robot assembly systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0004/MQ45428.pdf.
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Kazakidis, Vassilios N. "Operating risk, planning for flexible mining systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ61126.pdf.
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Cameron, Jonathan M. "Modeling and motion planning for nonholonomic systems." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/17793.
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Larkworthy, Thomas James. "Motion planning for self-reconfiguring robotic systems." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6256.
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Robots that can actively change morphology offer many advantages over fixed shape, or monolithic, robots: flexibility, increased maneuverability and modularity. So called self-reconfiguring systems (SRS) are endowed with a shape changing ability enabled by an active connection mechanism. This mechanism allows a mechanical link to be engaged or disengaged between two neighboring robotic subunits. Through utilization of embedded joints to change the geometry plus the connection mechanism to change the topology of the kinematics, a collection of robotic subunits can drastically alter the overall kinematics. Thus, an SRS is a large robot comprised of many small cooperating robots that is able to change its morphology on demand. By design, such a system has many and variable degrees of freedom (DOF). To gain the benefits of self-reconfiguration, the process of morphological change needs to be controlled in response to the environment. This is a motion planning problem in a high dimensional configuration space. This problem is complex because each subunit only has a few internal DOFs, and each subunit's range of motion depends on the state of its connected neighbors. Together with the high dimensionality, the problem may initially appear to be intractable, because as the number of subunits grow, the state space expands combinatorially. However, there is hope. If individual robotic subunits are identical, then there will exist some form of regularity in the resulting state space of the conglomerate. If this regularity can be exploited, then there may exist tractable motion planning algorithms for self-reconfiguring system. Existing approaches in the literature have been successful in developing algorithms for specific SRSs. However, it is not possible to transfer one motion planning algorithm onto another system. SRSs share a similar form of regularity, so one might hope that a tool from mathematical literature would identify the common properties that are exploitable for motion planning. So, while there exists a number of algorithms for certain subsets of possible SRS instantiations, there is no general motion planning methodology applicable to all SRSs. In this thesis, firstly, the best existing general motion planning techniques were evaluated to the SRS motion planning problem. Greedy search, simulated annealing, rapidly exploring random trees and probabilistic roadmap planning were found not to scale well, requiring exponential computation time, as the number of subunits in the SRS increased. The planners performance was limited by the availability of a good general purpose heuristic. There does not currently exist a heuristic which can accurately guide a path through the search space toward a far away goal configuration. Secondly, it is shown that a computationally efficient reconfiguration algorithms do exist by development of an efficient motion planning algorithm for an exemplary SRS, the Claytronics formulation of the Hexagonal Metamorphic Robot (HMR). The developed algorithm was able to solve a randomly generated shape-to-shape planning task for the SRS in near linear time as the number of units in the configuration grew. Configurations containing 20,000 units were solvable in under ten seconds on modest computational hardware. The key to the success of the approach was discovering a subspace of the motion planning space that corresponded with configurations with high mobility. Plans could be discovered in this sub-space much more readily because the risk of the search entering a blind alley was greatly reduced. Thirdly, in order to extract general conclusions, the efficient subspace, and other efficient subspaces utilized in other works, are analyzed using graph theoretic methods. The high mobility is observable as an increase in the state space's Cheeger constant, which can be estimated with a local sampling procedure. Furthermore, state spaces associated with an efficient motion planning algorithm are well ordered by the graph minor relation. These qualitative observations are discoverable by machine without human intervention, and could be useful components in development of a general purpose SRS motion planner compiler.
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Stephenson, Richard Lawrence. "Information systems and policy processes in planning." Thesis, Oxford Brookes University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325434.
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This thesis examines the use of information, particularly that of a technical kind, in decisions and policies in land use planning, and reports on empirical analysis on the making of development plan policies by local authority planning departments. The research examines the role of technical information in planning processes and starts by identifying different ideas put forward about the potential contribution of computerised systems to the provision of such information. It is concluded that the literature on decision processes in planning has a number of weaknesses in relation to how the use of information is understood. Research on the use of information in planning has found a complex picture which is at odds with many normative theories of planning. However, an empirically based theory of the use of technical information in planning, including that from computerised sources, is poorly developed. The thesis argues that the idea of a set of policy processes - structuring access, mode of debate and decision criteria in planning decisions - is a powerful analytical tool in understanding planning practice. Using this as a base, a conceptual framework relating these processes to information use is developed from the available literature and the findings from exploratory interviews. Through a set of six case studies oflocal authority planning departments the explanatory power of this framework is assessed. On the basis of this a refined framework is put forward and a final assessment made of it using a detailed analysis of the evolution and adoption of the policies in two development plans, the Wakefield Unitary Development Plan and the Lancashire Structure Plan. The research concludes that the use of technical information is heavily influenced by the regulatory nature of the British planning system, which places a focus on the justification of policies and gives greater importance to technical analysis in some situations than others. In development plan making the semi-judicial arena of the inquiry or examination in public is central. Information from computerised sources can playa distinctive role in planning but this is dependent on how it is incorporated into the policy processes through which decisions are made. Technical information and computerised analysis can play an important role in legitimating planning decision and shaping the evolution ofpolicies, but this can only be understood within a wider context of social and political processes.
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Razzaq, Sohail. "Routing and mission planning in autonomous systems." Thesis, Lancaster University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.656334.
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Autonomous systems are playing increasingly important roles in today's world. Technological advancements have allowed autonomous applications in many areas such as ground robotics (including factory robots), unmanned aerial vehicles (UAVs), unmanned underwater vehicles, unmanned spacecrafts etc. UAVs are relatively a new inclusion into the broader field of autonomous systems. The possibility of using UAVs for a diverse range of beneficial applications such as fire fighting, search and rescue missions, combating crime, etc. is a major motivational factor in this research program. Thus mission related work presented in this thesis, although generic In nature, relates heavily to UAVs. Mission planning involves many dimensions In general and the fundamental aspects explored in this research program i.e. route planning, resource allocation optimization, vehicle selection and mission collaboration, in particular. At the end of this research program a novel graph theoretic routing algorithm that offers deconfliction and efficient route computation has been developed and its performance experimentally examined using computer simulations. In addition, novel exhaustive as well as sub-optimal resource allocation mission planning schemes have been developed and applied to both deterministic and stochastic input variables. Furthermore the significant benefits obtained during a mission due to collaboration between acting UAVs have been examined and experimentally demonstrated. This collaborative behaviour has been achieved via the inclusion of data communication between UAVs and the mission Control Centre and in a way that allows for UAVs to coordinate their time of arrival to destination and thus maximize mission success.
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Yu, Han. "PLANNING AND SCHEDULING FOR LARGE-SCALEDISTRIBUTED SYSTEMS." Doctoral diss., University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4186.
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Many applications require computing resources well beyond those available on any single system. Simulations of atomic and subatomic systems with application to material science, computations related to study of natural sciences, and computer-aided design are examples of applications that can benefit from the resource-rich environment provided by a large collection of autonomous systems interconnected by high-speed networks. To transform such a collection of systems into a user's virtual machine, we have to develop new algorithms for coordination, planning, scheduling, resource discovery, and other functions that can be automated. Then we can develop societal services based upon these algorithms, which hide the complexity of the computing system for users. In this dissertation, we address the problem of planning and scheduling for large-scale distributed systems. We discuss a model of the system, analyze the need for planning, scheduling, and plan switching to cope with a dynamically changing environment, present algorithms for the three functions, report the simulation results to study the performance of the algorithms, and introduce an architecture for an intelligent large-scale distributed system.<br>Ph.D.<br>School of Computer Science<br>Engineering and Computer Science<br>Computer Science
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Schwarz, Frederick J. "Strategic planning for DFAS-Cleveland expert systems." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/26791.
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Aouad, Ghassan Fouad. "Integrated planning systems for the construction industry." Thesis, Loughborough University, 1991. https://dspace.lboro.ac.uk/2134/7199.
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This thesis reports on a CAD-based integrated model developed to aid the planning of the construction of in-situ concrete structures. The main aim of this model is to automate the planning process of in-situ concrete structures using data generated by CAD systems. In order to achieve this goal, the integration of a CAD system (AutoCAD 10) and a computerised planning system (Artemis 2000) via a database program (dBase IV) has been achieved on an IBM PS2 Model 70 microcomputer. This enables the generation of network plans in the AutoCAD system which are then automatically transferred to the Artemis system for time and cost analyses. Currently, the system can handle concreting, steel fixing and formwork activities associated with in-situ concrete design elements. However, further enhancement of the model is possible in order to automate the generation of most construction activities. In order to develop this CAD-based integrated planning model, it was necessary to undertake a questionnaire survey on the current status of planning techniques and information technology uses amongst the main UK and US contractors. This survey reveals that many of these contractors are now aware of the benefits that a CAD system can offer to the management and planning of in-situ concrete structures. It was also found that many aspects of information technology such as computer aided design and project management are well within the reach of most of the companies surveyed, and that many recent developments could be used to develop integrated systems as an aid to the planning of construction projects. These findings indicate that the application of such systems could soon become a reality. However, the practicality of these techniques has to be assessed on real life projects which could be the subject of a further research. The CAD-based integrated model described in this thesis offers many facilities for: modeling, drafting, materials and quantities scheduling, time and cost analyses and reporting which were all integrated and incorporated within such a single system. These facilities which have been fully customised within the developed package are easy to be run as the software is user friendly with pull-down and pop-up menus, and help facilities provided at almost all levels. This thesis demonstrates that current software and hardware technologies are more than sufficient to establish new approaches to the planning and management of in-situ concrete structures, particularly in the area of computer aided design. Such approaches can rectify many of the deficiencies found in traditional planning systems. For instance, a CAD-based system could eliminate the re-extraction of information from conventional drawings and documents which could be error prone as an access to the original electronic building model is provided within such a system. In addition, accurate quantities associated with sets of design elements and relevant to the planning process are automatically generated within the system.
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Hardman, Gavin. "Bayesian inspection planning for large industrial systems." Thesis, Durham University, 2007. http://etheses.dur.ac.uk/1998/.
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The implementation of consistent and repeatable methods for inspection planning is a problem faced by a wide range of industries. The theory of Bayesian design problems provides a well established method for the treatment of inspection planning problems, but is often difficult to implement for large systems due to its associated computational burden. We develop a tractable Bayesian method for inspection planning. The use of Bayes linear methods in the place of traditional Bayesian techniques allows us to assess properties of proposed inspection designs with greater computational efficiency. This improvement in efficiency allows a greater range of designs to be assessed and the design space to be searched more effectively. We propose a utility based criterion for the identification of designs that offer improved prediction for future system properties. Designs with good typical performance are identified through utility maximisation. The viability of the method is demonstrated by application to an example based on data from a real industrial system.
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Finnegan, Patrick. "Inter-organisational systems : towards a planning method." Thesis, University of Warwick, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390036.
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Bullough, D. P. "Teenage belief systems : Planning for the future." Thesis, Open University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377942.
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China, Samuel Soita. "Land use planning using geographic information systems." Thesis, University of Southampton, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239501.
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GONZALEZ, JUAN PABLO LEAL. "TRANSMISSION EXPANSION PLANNING CONSIDERING ENERGY STORAGE SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=36061@1.
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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>O planejamento da expansão da transmissão (PET) visa identificar novos reforços para a rede, permitindo uma conexão tecnicamente adequada entre demanda e geração de energia elétrica, ambas previstas para um determinado horizonte de planejamento. Um bom plano de expansão deve garantir o equilíbrio entre os custos de investimento e operação, mantendo um nível satisfatório de segurança no fornecimento de energia elétrica. Entretanto, a identificação de bons planos de expansão para o PET tem se tornado uma tarefa cada vez mais difícil. Isso se deve, principalmente, às características e dimensões dos sistemas atuais, a não linearidade e natureza combinatória do problema de otimização e às incertezas presentes nos dados. Os erros de previsão, a indisponibilidade de equipamentos e a disponibilidade dos recursos naturais são parâmetros que variam de forma aleatória e inserem um alto grau de incerteza nos sistemas elétricos, o qual aumenta proporcionalmente com o horizonte de planejamento. Uma das incertezas mais relevantes a ser gerenciada nas próximas décadas será a capacidade de geração oriunda de fontes renováveis, em particular as eólicas, devido à sua grande variabilidade. A utilização de dispositivos de armazenamento permitirá melhor aproveitamento dessas fontes e, portanto, torna-se necessário o desenvolvimento de ferramentas computacionais capazes de considerar tais dispositivos no problema PET. Esta dissertação apresenta uma nova metodologia de apoio ao problema PET inserindo armazenadores de energia elétrica para aumentar o aproveitamento de fontes renováveis no sistema. Isso, respeitando as restrições de segurança da rede, acompanhando à curva de demanda e levando em consideração as variáveis operativas destes dispositivos. A possibilidade de incluir sistemas de armazenamento de energia elétrica é avaliada através de uma análise custo-benefício. A metodologia proposta é aplicada a um sistema teste, submetido a diversas condições operativas, e os resultados obtidos são amplamente discutidos.<br>The transmission expansion planning (TEP) aims at identifying new reinforcements for the network, allowing a technically adequate connection between demand and generation of electric energy, both foreseen for a given planning horizon. A good expansion plan must ensure a balance between investment and operating costs, while maintaining a satisfactory level of security of the electric energy supply. However, identifying good expansion plans for TEP has become an increasingly difficult task. This is mainly due to the characteristics and dimensions of the current systems, the nonlinearity and combinatorial nature of the optimization problem, and the uncertainties present in the data. Forecasting errors, equipment unavailability, and the availability of natural resources are parameters that vary in a random way and insert a high degree of uncertainty in the electrical system, which proportionally increases with the planning horizon. One of the most relevant uncertainties to be managed in the upcoming decades will be the generation capacity from renewable sources, particularly wind power, due to its great variability. Storage devices will allow better use of these sources and, therefore, it becomes necessary to develop computational tools capable of considering such devices in the TEP problem. This dissertation presents a new methodology to support the TEP problem by inserting electric energy storage to increase the use of renewable energy in the system, while respecting the security restrictions of the network, following the demand curve and taking into account the operational variables of these devices. The possibility of including electric energy storage systems is evaluated through a costbenefit analysis. The proposed methodology is applied to a test system, subject to various operating conditions, and the obtained results are widely discussed.
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Ridder, Bernardus. "Lifted heuristics : towards more scalable planning systems." Thesis, King's College London (University of London), 2014. https://kclpure.kcl.ac.uk/portal/en/theses/lifted-heuristics(27d32f95-9859-4ca7-b7ca-b89e4d1fb977).html.
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In this work we present a new lifted forward-chaining planning system which uses new heuristics and introduces novel pruning techniques which can solve problem instances which - until now - cannot be solved by contemporary planners due to grounding. State-of-the-art planning systems rely on grounding, enumerating all possible actions, before search can begin. Grounding is a necessary step for these planners because their domain analysis, heuristic computation, pruning strategies and even search strategies need this information as a prerequisite. This grounding step is an essential step for most (if not all) state-of-the-art planning systems. A few planning systems use lazy evaluation which means that an action is only grounded when it is needed. But in these strategies, for most domains, the set of actions that need to be grounded are all the actions so this does not solve the underlying problem. This thesis presents two new heuristics - called lifted relaxed planning graph heuristic and lifted causal graph heuristic - that do not require the planning domain to be grounded. This makes our planning system applicable to larger problem instances because we have smaller memory constraints compared to state-of-the-art forward chaining planners. Heuristics have been presented in the past which did not require grounding (for example least-commitment planners like Partial-Order Planners), but the weakness of their heuristics prevents them to compete with the state of the art. The heuristics presented in this thesis compare favourably to the state-of-the-art. We build on previous work done on symmetry breaking in order to abstract the planning problem and prune the search space. Symmetry relationships explored in the past are quite restrictive and are only useful in problems which are highly symmetrical. We relax this definition and build upon almost symmetry which finds more symmetrical relationships and allows us to construct the data structures like the lifted relaxed planning graph and lifted transition graph using less memory and time.
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Monroy-Borja, Raul. "Planning proofs of correctness of CCS systems." Thesis, University of Edinburgh, 1997. http://hdl.handle.net/1842/584.
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The specification and verification of communicating systems has captured increasing interest in the last decades. CCS, a Calculus of Communicating Systems [Milner 89a], was especially designed to help this enterprise; it is widely used in both industry and academia. Most efforts to automate the use of CCS for verification have centered around the explicit construction of a bisimulation [Park 81]. This approach, however, presents severe limitations to deal with systems that contain infinite states (e.g. systems with evolving structure [Milner 89a] or that comprise a finite but arbitrary number of components (e.g. systems with inductive structure [Milner 89a]). There is an alternative approach to verification, based on equational reasoning, which does not exhibit such limitations. This formulation, however, introduces significant proof search control issues, and, hence, has remained far less explored. This thesis investigates the use of explicit proof plans [Bundy 88] for problems of automatic verification in the context of CCS. We have conducted the verification task using equational reasoning, and centred on infinite state systems, and parameterised systems. A parameterised system, e.g. a system with inductive structure, circumscribes a family of CCS systems, which have fixed struture and finitely many states. To reason about theses systems, we have adopted Robin Milner's approach [Milner 89a], which advocates the use of induction to exploit the structure and/or the behavior of a system during its verification. To automate this reasoning, wehave used proof plans for induction [Bundy 88]- built within CLAM [Bundy et al 90b], and extended it with special CCS proof plans. We have implemented a verification planner by adding these special proof plans to CLAM. The system handles the search control problems prompted by CCS verification satisfactorily, though it is not complete. Moreover, the system is capable of dealing with the verification of finite state systems, infinite state systems, and parameterised systems, hence, providing a uniform method to analyse CCS systems, regardless of their state space. Our results are encouraging: the verification planner has been successfully tested on a number of examples drawn from the litereature. We have planned proofs of conjectures that are outside the domain of existing verification methods. Furthernore; the verification planning is fully automated. Because of this, even though the verification plan has still got plenty of room for improvement, we can state that proof planning can handle the equational verication of CCS systems, and, therefore, advocate its use within this interesting field.
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Mucheleka, M. (Martin). "Enterprise Resource Planning systems in healthcare sector." Master's thesis, University of Oulu, 2015. http://urn.fi/URN:NBN:fi:oulu-201504021292.
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The purpose of this thesis work was to find out how Enterprise Resource Planning systems (ERP) have been used in the healthcare sector and how ERP systems could be used to improve the healthcare services. Some findings were discussed and recommendations were made about how ERP systems could be used in the healthcare sector.
The thesis was written using literature review research method. Literature is the study that involves gathering and studying earlier knowledge about a specific topic of interest. Various documents were studied regarding the use of ERP in healthcare institutions. Literature review was used to show how ERP systems have been used previously in some healthcare institutions and organisations.
Based on the literature used in this study, ERP systems have not been widely reported to have been used in the healthcare sector. On the other hand, other findings showed that ERP systems could be used in the healthcare sector to improve their quality of services.
Therefore, if ERP systems were successfully implemented in a healthcare organisations, it was suggested that it would bring about significant change especially in finance, human resources, and capacity, revenue and admission resource functions. ERP systems could also improve profitability and services in the healthcare organisations.
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Moayer, Sorousha. "Robust intelligent scenario planning for industrial systems." Thesis, Moayer, Sorousha (2009) Robust intelligent scenario planning for industrial systems. PhD thesis, Murdoch University, 2009. https://researchrepository.murdoch.edu.au/id/eprint/3493/.
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Uncertainty about the future significantly impacts on the planning capacities of organisations. Scenario planning provides such organisations with an opportunity to be aware of the consequences of their future plans. By developing plausible scenarios, scenario planning methodologies assist decision-makers to make systematic and effective decisions for the future. This research aims to review existing scenario planning methodologies and develop a new framework to overcome the shortcomings of previous methodologies. The new framework has two major phases: a „scenario generation phase‟ and an „intelligent robust optimisation phase‟. The scenario generation phase creates future scenarios by applying fuzzy logic and Artificial Neural Network (ANN) concepts. With these concepts, it is possible to deal with qualitative data and also learn from expert data. The intelligent robust optimisation phase identifies the best strategic option which is suitable for working with the most probable scenarios. This second phase includes fuzzy programming and robust optimisation methods to deal with uncertain and qualitative data which usually exists in generated scenarios. The case study for this thesis focuses on Western Australia‟s power capacity expansion needs and demonstrates the application of this new methodology in managing the uncertainties associated with future electricity demand. Scenarios which are generated based on different future population trends and industrial growth are used as the basis of determining the best strategic option for the expansion in WA‟s electricity industry. Furthermore, transition to renewable energy and technological constraints for WA‟s electricity industry are considered in the proposed framework. The result of this case study is an investment plan that satisfies WA‟s electricity demand growth and responds to technological and environmental constraints. The new intelligent robust scenario planning framework has the potential to deal with uncertainties in business environments and provides a strategic option that has the ability to work with plausible scenarios for the future.
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Jin, Huan. "Workforce planning in manufacturing and healthcare systems." Diss., University of Iowa, 2016. https://ir.uiowa.edu/etd/5784.
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This dissertation explores workforce planning in manufacturing and healthcare systems. In manufacturing systems, the existing workforce planning models often lack fidelity with respect to the mechanism of learning. Learning refers to that employees’ productivity increases as they gain more experience. Workforce scheduling in the short term has a longer term impact on organizations’ capacity. The mathematical representations of learning are usually nonlinear. This nonlinearity complicates the planning models and provides opportunities to develop solution methodologies for realistically-sized instances. This research formulates the workforce planning problem as a mixed-integer nonlinear program (MINLP) and overcomes the limitations of cur- rent solution methods. Specifically, this research develops a reformulation technique that converts the MINLP to a mixed integer linear program (MILP) and proposes several techniques to speed up the solution time of solving the MILP.
In organizations that use group work, workers learn not only by individual learning but also from knowledge transferred from team members. Managers face the decision of how to pair or team workers such that organizations benefit from this transfer of learning. Using a mathematical representation that incorporates both in- dividual learning and knowledge transfer between workers, this research considers the problem of grouping workers to teams and assigning teams to sets of jobs based on workers’ learning and knowledge transfer characteristics. This study builds a Mixed- integer nonlinear programs (MINP) for parallel systems with the objective of maximizing the system throughput and propose exact and heuristic solution approaches for solving the MINLP.
In healthcare systems, we focus on managing medical technicians in medical laboratories, in particular, the phlebotomists. Phlebotomists draw specimens from patients based on doctors’ orders, which arrive randomly in a day. According to the literature, optimizing scheduling and routing in hospital laboratories has not been regarded as a necessity for laboratory management. This study is motivated by a real case at University of Iowa Hospital and Clinics, where there is a team of phlebotomists that cannot fulfill doctors requests in the morning shift. The goal of this research is routing these phlebotomists to patient units such that as many orders as possible are fulfilled during the shift. The problem is a team orienteering problem with stochastic rewards and service times. This research develops an a priori approach which applies a variable neighborhood search heuristic algorithm that improves the daily performance compared to the hospital practice.