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Alsultan, Sami H. "Air fleet capacity planning". Thesis, University of Salford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308089.
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Niles, Augusta (Augusta L. ). "Stochastic capacity modeling to support demand/capacity gap planning". Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90770.
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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014. In conjunction with the Leaders for Global Operations Program at MIT.Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. In conjunction with the Leaders for Global Operations Program at MIT.
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Cataloged from PDF version of thesis.
Includes bibliographical references (pages 62-63).
Capacity strategy has established methods of dealing with uncertainty in future demand. This project advances the concept of capacity strategy under conditions of uncertainty in cases where capacity is the primary source of uncertainty. Novartis Vaccines, one of five divisions of Novartis AG, produces nearly two dozen vaccines which are offered in syringes, vials, multi or single pack, and multi or single dose and delivered in language-specific packaging to countries all over the world. Bexsero is a new product in 2013. As demand for Bexsero and other products increases over the next ten years, the production lines used to package them will need to accommodate more and more volume. Capacity planning compares capacity gaps between future demand and current estimated capacity. Because of recurring shortfalls in production relative to planned capacity, current estimates of capacity are not trusted for long-term planning. Understanding how international product demand will be allocated to each production line and what drives current capacity limitations will help Novartis Vaccines prioritize investment to optimally develop this capacity over time. Thus, the purpose of this model is to establish baseline capacity estimates using historical data and allow for the simulation of new production scenarios in order to demonstrate the impact of production policy on mean and variance of capacity over a specified time horizon. Incorporating simulated results produces a mean and standard deviation of capacity we are likely to see. Long-term demand was assessed, capacity versus peak demand views were created, and production scenarios were simulated on a single line/product/format basis over the time horizon to determine expected capacity. Recommendations were made for each of the pre-filled syringe, multi-format, and vial format lines and these results were used to shape an overall packaging capacity development plan.
by Augusta Niles.
M.B.A.
S.M.
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Verma, Manoj Kumar. "Capacity planning under fuzzy environment". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ57589.pdf.
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Rajendran, Hari Kumar. "Process quality and capacity planning". Thesis, Wichita State University, 2008. http://hdl.handle.net/10057/2040.
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Production planning is a function performed in isolation from process capability to estimate available capacity. Process capability is a systematic study performed to understand the process performance. After a complete review of the literature available
on capacity and capability a gap was identified between them. This research is aimed at
proposing a model for representing a relationship between machine capacity and performance capability. Also presented are the impact of capability on capacity utilization and capacity planning. A traditional machine capacity calculation model is replaced with a modified model, which incorporates the yield percentage. Where, capacity is estimated as a product of available time, productivity and yield percentage .The yield percentage is estimated based on the performance capability .A systematic methodology is provided for the manufacturer to arrive at identify the root cause of capacity related problems. The importance of quality in capacity planning is emphasized by explaining the effects of deviation to capacity plan that can occur due to variability in the process. A case study is carried out in an aircraft company on a single machine to estimate performance capability and capacity of the machine in comparison to the demand. The results from case study indicate that there exists a 32% deviation from the required capacity calculated considering the process performance. The manufacturer decision based on outcome of the proposed model, points out the need for improving both productivity and utilization of the machine. An alternative to the current decision was also presented to the manufacturer, to increase the available time of the machine that is to increase the machine operation time from 7.6 Hrs to 10 Hrs in order to meet customer demand. It is left to the discretion of the manufacturer to decide on a corrective action after giving due consideration for the costs involved in the solution to meet customer demand.Thesis (M.S.) - Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing Engineering
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HARROD, STEVEN S. "RAILWAY CAPACITY MANAGEMENT AND PLANNING". University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186181286.
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Rajendran, Hari Kumar Weheba Gamal S. "Process quality and capacity planning". A link to full text of this thesis in SOAR, 2008. http://hdl.handle.net/10057/2040.
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Gatica, Diaz Escobar Gabriel. "Capacity planning under clinical trials uncertainty". Thesis, Imperial College London, 2004. http://hdl.handle.net/10044/1/8400.
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Pang, Jee Fung. "Characterizing user workload for capacity planning". Thesis, University of British Columbia, 1986. http://hdl.handle.net/2429/26021.
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With the widespread use of computers in today's industry, planning system configurations in computer sites plays an increasingly important role. The process of planning system configurations or determining hardware requirements for new or existing systems is commonly known as capacity planning among performance researchers and analysts.
This thesis presents a refined capacity planning process for centralized computing system, with special attention to characterizing user workload for capacity planning. The objective is to make the entire process simpler for the computer user community, while relieving the capacity planner or performance analyst from having to rely on guesswork for the user workload performance factors.
The process is divided into four phases; namely, data collection, data reduction, workload/user classification and, modeling and performance analysis. The second and third phases are collectively known as user workload characterization.
The main objective of our workload characterization is to avoid any guess work on the performance factors that cannot be easily measured. The results of the workload characterization process are specifically meant to be used in analytic and simulation modeling. Three software tools required for the data reduction, workload/user classification and performance analysis phases have been developed and are discussed in the thesis.Science, Faculty of
Computer Science, Department of
Graduate
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Balaraman, Subha. "Bill Share - Capacity Planning and Management". The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1339698740.
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Yarde, Richard Roy 1969. "State capacity for water resources planning". Thesis, The University of Arizona, 1997. http://hdl.handle.net/10150/291640.
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Since the end of federal funds from the Water Resources Planning Act of 1964, it has been largely the responsibility of the states to plan for their water resources. This study will report on the current status of state water planning, suggest some variables that may have an influence on a state's decision to prepare a state water plan, and test the variables through statistical analysis. Some of the variables that are suggested as having some influence on state water planning are precipitation, population density, large metropolitan areas, median per capita income (as a measure of state affluence), and percent of land irrigated. Among these, it is only precipitation that has a clearly significant correlation to the preparation of a state water plan. It is concluded that no single variable is an accurate predictor of state behavior, but that a combination of variables act together to influence state behavior.
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Yilmaz, Görken. "Long term capacity planning with products' renewal". Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/145323.
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Long Term Capacity Planning (LTCP) consists of deciding the type and amount of capacity of production systems for multiple periods in a long term planning horizon. It involves decisions related to strategic planning, such as buying or selling of production technology, outsourcing, and making tactical decisions regarding capacity level and configuration. Making these kinds of decisions correctly is highly important for three reasons. Firstly, they usually involve a high investment; secondly, once a decision like this is taken, it cannot be changed easily (i.e. they are highly irreversible); thirdly, they affect the performance of the entire system and the decisions that will be possible at a tactical level. If capacity is suboptimal, there will be lost demand (in the present and possibly in the future); if the system is oversized, there will be unused resources, which may represent an economical loss. Long term decisions are typically solved with non-formalized procedures, such as generating and comparing solutions, which do not guarantee an optimal solution. In addition, the characteristics of the long term capacity planning problem make the problem very difficult to solve, especially in cases in which products have a short life cycle. One of the most relevant characteristics is the uncertainty inherent to strategic problems. In this case, uncertainty affects parameters such as demand, product life cycle, available production technology and the economic parameters involved (e.g. prices, costs, bank interests, etc.). Selection of production technology depends on the products being offered by the company, along with factors such as costs and productivity. When a product is renewed, the production technology may not be capable of producing it; or, if it can, the productivity and/or the quality may be poor. Furthermore, renewing a product will affect its demand (cannibalization), as well as the demand and value of the old products. Hence, it is very important to accurately decide the correct time for product renewal. This thesis aims to design a model for solving a long term capacity planning problem with the following main characteristics: (1) short-life cycle products and their renewal, with demand interactions (complementary and competitive products) considered; (2) different capacity options (such as acquisition, renewal, updating, outsourcing and reducing); and (3) tactical decisions (including integration strategic and tactical decisions).
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Melton, Ryan Heath. "Methodology for Furniture Finishing System Capacity Planning". NCSU, 2000. http://www.lib.ncsu.edu/theses/available/etd-20001108-141441.
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This research developed a methodology for the capacity planning of a furniture finishing system using both deterministic analysis and stochastic simulation. The thesis includes the development of an interface through which users can interactively build a simulation model of a finishing system. The Excel-based interface de-couples data input from the simulation model construction and execution. This provides a user-friendly tool for analyzing a finishing system. A manufacturing manager unfamiliar with simulation techniques can use the interface to conduct simulations and experiment with various input parameters such as line loading techniques and line speeds. Through the interface, results from the simulation can be used in an iterative process to analyze and refine design parameters of the finishing system. Adjustments to input parameters are made, and the model is re-simulated until the user discovers and eliminates any problem areas within an existing finishing system or accurately determines the required workstation capacities for a proposed system.
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Merode, Godefridus Gerardus van. "Decision support for clinical laboratory capacity planning". [Maastricht : Maastricht : Rijksuniversiteit Limburg] ; University Library, Maastricht University [Host], 1994. http://arno.unimaas.nl/show.cgi?fid=6591.
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Kang, Dilbir. "A capacity planning system for bespoke manufacturing". Thesis, University of Huddersfield, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293378.
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The majority of the commercially available systems developed for capacity planning have been designedf or organisationsw hich are involved with make-to-stockm anufacturingT. heses ystemsa re difficult to implementi n bespokem anufacturing( make-to-ordero) rganisationss ince they are unable to accommodateth e requirementso f the volatile productione nvironment. This thesisi dentifies the uniqueo peratingc haracteristicos f the manufacturinge nvironmenta ssociated with bespokem anufacturingw hich caused ifficulty with the implementationo f commerciallya vailable systemsT. he findings from this investigationa re usedt o formulatea design for a capacityp lanning systemw hich fulfils the unique requirementso f the bespokem anufacturinge nvironment. The proposed system executes the capacity planning function at two separate levels of detail by integrating rough cut capacity planning with finite capacity planning. The two planning mechanisms are also integrated with a shop floor data collection system which has been designed for the assembly environment. Data interaction is achieved between the capacity planning modules and the shop floor data collection system via an Interface ManagemenSt ystem which ensurest hat the scheduled ata containedi n the individual systemsr emainsi n synchronisationa t all times. The capacity planning system also includes the design and development of a large scale display facility which is able to accommodateth e large volume of scheduled ata required to be viewed for finite capacity planning. This facility has been designed using multiple co-ordinated screens which are linked by a local area network. A data interface and parallel processing facility is incorporated in the design which enable the processing of a software application to be distributed over multiple nodes.
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Farhat, Mlouka. "Batch replenishment planning under capacity reservation contract". Electronic Thesis or Diss., Université de Lorraine, 2019. http://www.theses.fr/2019LORR0041.
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Nous nous intéressons au Problème de Dimensionnement de Lots mono-produit (PDL) dans une chaîne logistique composée d'un détaillant et d'un fournisseur en y intégrant le contrat buyback et l'approvisionnement par batch. L'objectif est de déterminer un plan d'approvisionnement pour le détaillant pour satisfaire ses demandes déterministes sur un horizon fini, tout en minimisant ses coûts d'approvisionnement et de stockage. Concernant le coût d'approvisionnement, nous supposons deux structures différentes : FTL (Full Truck Load) et OFB (Only Full Batch). Trois types de contrat buyback sont étudiés : avec des périodes de retour fixes, avec une limite de temps sur les retours, et avec des retours uniquement dans les périodes d'approvisionnement. Chaque contrat est caractérisé par un pourcentage de retour maximal qui peut être égal à 100% (retour total) ou inférieur à 100% (retour partiel). Pour le PDL sous le contrat buyback avec des périodes de retour fixes, nous supposons le cas de ventes perdues (lost sales). En outre, un autre concept ajouté dans les PDL sous les trois types de contrat buyback réside dans le fait que le détaillant peut jeter la quantité invendue et non retournée au fournisseur, appelé mise au rebut (disposal). Nous avons modélisé ces différentes extensions du PDL par des Programmes Linéaires en Nombres Entiers (PLNE). Nous avons ensuite développé des algorithmes exacts polynomiaux de programmation dynamique pour certaines extensions, et montré la NP-difficulté pour d'autres. Pour chaque problème résolu en temps polynomial, nous avons comparé l'efficacité et les limites de l'algorithme proposé avec celles des quatre formulations en PLNE. Nous avons également proposé des modèles mathématiques pour les PDL sous d'autres types de contrats de réservation de capacité dans le cas déterministe à multi-périodesWe study the single-item Lot Sizing Problem (LSP) in a supply chain composed of a retailer and a supplier by integrating the buyback contract and the batch ordering. The purpose is to determine a replenishment planning for the retailer to satisfy his deterministic demands over a finite horizon, while minimizing the procurement and inventory costs. Regarding the procurement cost, we assume two different structures: FTL (Full Truck Load) and OFB (Only Full Batch). We consider three types of buyback contract: with fixed return periods, with a time limit on returns, and with returns permitted only in procurement periods. Each contract is characterized by the maximum return percentage being either equal to 100% (full return) or less than 100% (partial return). For the LSP under the buyback contract with fixed return periods, we assume the concept of lost sales. Another concept considered in the LSP's under the three types of buyback contract is the disposal of the unsold and unreturned quantities. We model these different LSP extensions as a Mixed Integer Linear Program (MILP). Thereafter, we develop exact polynomial time dynamic programming algorithms for some extensions and show the NP-hardness of others. For each problem solved in polynomial time, we compare the efficiency and the limits of the proposed algorithm with those of four MILP formulations by performing different tests. Finally, we propose mathematical models for the LSP's under other types of the capacity reservation contract in the deterministic and multi-period case
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CUETO, DANIEL YUJI MITSUTAKE. "COVERAGE AND CAPACITY PLANNING FOR LTE-ADVANCED NETWORKS". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35558@1.
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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
PROGRAMA DE EXCELENCIA ACADEMICA
O acesso sem fio de banda larga está se tornando uma realidade, não apenas para uso corporativo e doméstico, mas para usuários com mobilidade. Dos estimados 1.8 bilhão de pessoas que já utilizam banda larga desde 2012, cerca de dois terços serão consumidores de banda larga móvel e a maioria será servida por redes HSPA (High Speed Packet Access) e LTE-A (Long Term Evolution-Advanced), uma evolução para as redes 4G,capaz de oferecer velocidades acima de 500 Mbps. O planejamento celular tem como objetivo estabelecer a rede de rádio adequada e eficiente em termos de cobertura, capacidade, qualidade de serviço (QoS), custo, utilização de frequências, a implantação de equipamentos e desempenho. O objetivo deste trabalho é estudar dos métodos de planejamento de cobertura e capacidade de sistemas celulares LTE-Advanced e propor uma metodologia passo-a-passo para o planejamento inicial e dimensionamento do número de estações rádio base necessárias para atender uma determinada área de serviço com a capacidade requerida. Um estudo de caso é apresentado, ilustrando a aplicação da metodologia proposta. É apresentada também uma análise comparativa dos recursos requeridos para atender às especificações do projeto quando são utilizadas as bandas de frequência de 2.6 GHz, atualmente autorizada no Brasil, e a banda de 700 MHz, que está em consideração para uso futuro. Os resultados quantificam claramente as vantagens do uso da banda de 700 MHz em relação à banda de 2.6 GHz.
The wireless broadband is becoming a reality, not only for corporate and domestic use, but for mobile users. Of the estimated 1.8 billion people already using broadband since 2012, about two thirds will be mobile broadband consumers and the majority will be served by HSPA (High Speed Packet Access) and LTE-A (Long Term Evolution-Advanced), an evolution to 4G networks, able to offer speeds up to 500 Mbps. The cell planning establishes a radio network properly and eciently in terms of coverage, capacity, quality of service (QoS), cost, frequency usage, deployment of equipment and performance. The objective of this work is to study the methods of planning coverage and capacity of LTE-A cellular systems and propose a methodology step-by-step for the initial planning and dimensioning of the number of base stations required to meet a given service area with the required capacity. A study case is presented, illustrating the application of the proposed methodology. It also presented a comparative analysis of the required resources to meet the project specications when used frequency bands of 2.6 GHz, nowadays licensed in Brazil, and the 700 MHz band, which is under consideration for future use. The results clearly quantify the advantages of the use of the 700 MHz band relative to the 2.6 GHz band.
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Chafac, Melvis Ngemasong Ngimndoh. "Data analysis and simulation approach to capacity planning". Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/110893.
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Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2015.Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 72-97).
In 2012, President Obama signed an Executive Order to improve access to mental health service for active duty members and for veterans. Two years later, in 2014, the President outlined 19 new executive actions to improve the lives of service members with a focus on improving access to mental health care. These actions placed a priority on improving the capacity to provide mental health care. This thesis examines ways of improving the capacity of the mental health system with a focus on system redesign. I review capacity planning, provide a literature review of simulation methods and present a simulation, and data analysis of Site Alpha, a U.S. Army Installation. I also use causal loop diagrams to explore other feasible scenarios that affect care capacity. The key take-away from this work is that system inefficiencies should be dealt with before more resources can be effectively added and used in the system. Another pertinent finding is that the distribution of the providers in the system should be improved. The system also contains high utilizer patients who must be considered when planning for care. The mental health system is extremely complex and risks becoming even more complex. However, by adopting a holistic, systems approach to capacity planning the complexity can be managed.
by Melvis Ngemasong Ngimndoh Chafac.
S.M. in Engineering Systems
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Mittal, Geetanjali 1979. "Real options approach to capacity planning under uncertainty". Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28295.
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2004.Includes bibliographical references (p. 128-133).
This thesis highlights the effectiveness of Real Options Analysis (ROA) in capacity planning decisions for engineering projects subject to uncertainty. This is in contrast to the irreversible decision-making proposed by the deterministic strategies based on expected estimates of parameters drawn years in advance. Effectiveness is measured by three metrics: cost efficiency, capacity sufficiency and Value at Risk. The study documents the effects of uncertainty on planning facilities with high fixed-costs. It addresses engineers and planners by presenting fundamental insights of ROA without expecting Options-pricing knowledge a priori. The main idea is demonstrated via a case study of hydropower capacity planning. An analytical probabilistic capacity planning tool is developed to compare results given by traditional valuation and ROA. The tool may be useful for determining resource utilization policies and decision-making in the construction of such plants. Two specific options have been examined: (1) Vary size and timing of capacity increment (2) Defer hydropower plant construction to observe demand by relying on low fixed-cost and high operational-cost facilities in the initial years. The conclusion is that dynamic capacity planning approach is more effective if the forecasts are pessimistic or optimistic but not necessarily if realized parameters are similar to forecasts. Decisions based on distribution of driving factors and outcomes may be better aligned with the management's overall risk preferences than those based solely on expected mean of these parameters.
by Geetanjali Mittal.
S.M.
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Vovos, Panagis. "Methodology for generation capacity and network reinforcement planning". Thesis, University of Edinburgh, 2005. http://hdl.handle.net/1842/14617.
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This thesis presents a novel methodology for generation expansion planning. The method is based on the Optimal Power Flow (OPF), a common tool for the economic operation of power systems. New generation capacity is simulated with the real power of virtual generators located at the candidate connection points, so OPF is used to plan generation expansion with respect to operating constraints of the existing network. A new method had to be developed for the direct incorporation of protection constraints in generation expansion. The modelling of new capacity with virtual generators gives access to power flow control variables. Binding constraints for generation expansion can be expressed as constrained functions of those variables. Accordingly, expected fault currents were expressed as functions of OPF variables and protection equipment specifications were converted to constraints for these functions. Thereafter, the allocation of new capacity by the OPF directly respects both system and fault constraints. The iterative approach has been proven less efficient than the later approach, but still maintains some advantages if the method is to be commercially exploited. Generator voltage control policies can also be converted to OPF constraints. The functionality of the suggested generation capacity allocation method was expanded to operate as an assessment tool of their impact on the amount of new capacity that a network can absorb. The method was expanded further, so as to consider the impact of capacity allocation on transmission losses. With a minor reformulation of the original method a new tool was designed for the optimal sitting of reactive power compensation banks for the implement of network headroom. Finally, a network planning method is presented based on the LaGrange multipliers, sensitivity by-products of the OPF solution method, which connect network constraints with generation expansion. Generation expansion is planned simultaneously with network reinforcement, so the overall optimum is achieved. The main conclusion of this work is that OPF can be used as a powerful planning, as well as operating tool. Its flexible formulation allows the incorporation of emerging constraints in generation and network expansion, such as those imposed by protection.
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Villarreal, Monica Cecilia. "Capacity planning and scheduling with applications in healthcare". Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54855.
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In this thesis we address capacity planning problems with different demand and service characteristics, motivated by healthcare applications. In the first application, we develop, implement, and assess the impact of analytical models, accompanied by a decision-support tool, for operating room (OR) staff planning decisions with different service lines. First, we propose a methodology to forecast the staff demand by service line. We use these results in a two-phase mathematical model that defines the staffing budget for each service line, and then decides how many staff to assign to each potential shift and day pair while considering staff overtime and pooling policies and other staff planning constraints. We also propose a heuristic to solve the model's second phase. We implement these models using historical data from a community hospital and analyze the effect of different model parameters and settings. Compared with the current practice, we reduce delays and staff pooling at no additional cost. We validate these conclusions through a simulation model.
In the second application, we consider the problem of staff planning and scheduling when there is an accepted time window between each order's arrival and fulfillment, with the goal of obtaining a balanced schedule that focuses on on-time demand fulfillment but also considers staff characteristics and operational practices. Hence, solving this problem requires simultaneously scheduling the staff and the forecasted demand. We propose, implement, and analyze the results of a model for staff and demand scheduling under this setting, accompanied by a decision-support tool. We implement this model in a company that offers document processing and other back-office services to healthcare providers. We provide details on the model validation, implementation, and results, including a 25\% increase in the company's staff productivity. Finally, we provide insights on the effects of some of the model's parameters and settings, and assess the performance of a proposed heuristic to solve this problem.
In the third application, we consider a non-consumable resource planning problem. Demand consists of a set of jobs, each job has a scheduled start time and duration, and belongs to a particular demand class that requires a subset of resources. Jobs can be `accepted' or `rejected,' and the service level is measured by the (weighted) percentage of accepted jobs. The goal is to find the capacity level that minimizes the total cost of the resources, subject to global and demand-class-based service level constraints. We first analyze the complexity of this problem and several of its special cases, and then we propose a model to find the optimal inventory for each type of resource. We show the convergence of the sample average approximation method to solve a stochastic extension of the model. This problem is motivated by the inventory planning decisions for surgical instruments for ORs. We study the effects of different model parameters and settings on the cost and service levels, based on surgical data from a community hospital.
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Dasalla, Kathryn Anne. "Capacity requirements planning of multichip modules through simulation". Diss., Online access via UMI:, 2007.
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Thesis (M.S.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Systems Science and Industrial Engineering, 2007.Includes bibliographical references.
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Sollander, Kristina, i Lisa Hedvall. "Capacity dimensioning of operations capacity in manufacturing companies". Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-30215.
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Purpose:To investigate how managers work with capacity dimensioning and what the main challenges are in order to balance efficiency and responsiveness in the continuous operations, as well as investigate what patterns and trends that can be identified within the capacity dimensioning approach. Methodology:A multiple case study was conducted including 14 manufacturing companies. Empirical data was collected through semi-structured interviews and used to explain the phenomenon of capacity dimensioning. Differences and similarities in the way companies approach capacity dimensioning was investigated though a cross-case analysis. The research is of exploratory and inductive character. Findings:A general process for capacity dimensioning has been established and affecting aspects and challenges has been identified. Potential trends and relationships have been investigated for the capacity dimensioning approach, with a potential connection between flexibility and investment strategy with introduction period in human resources. Further the capacity strategies tend to vary depending on alternative capacity sources. Theoretical implications:Information is provided for how capacity dimensioning is done at companies today, connections are strong to adjacent theories as S&OP but with more detail in the area of setting the capacity level. Managerial implications:The capacity dimensioning does not have a solution that suits all companies, but communication and alignment in the supply chain should not be underestimated for successful capacity dimensioning. Research delimitations:The research is conducted on manufacturing companies active in Sweden, other countries or continents of the world could generate other results because of different culture and laws. Further, service companies could also have provided other results.
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Retamales, Felipe. "Capacity Planning And Server Design For A Web Service". Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-31842.
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Devo IT and its subsidiary SoftRobot AB are planning to offer a new service to its clients to further enhance growth of the company. This new service is a website that allows clients to upload documents that are converted into machine-editable text. The website and its underlying database are developed by SoftRobot's developer, but they lack the hardware. Using Cisco's PPDIOO network life cycle model, the three first stages of the project are identified. The "prepare" stage is already done by Devo IT where the project's justifications are discussed. In the subsequent "planning" stage, the needs of the project, are identified and a gap analysis is made of what is needed. The "design" phase elaborates which specific hardware and software is needed for the project. Three servers are needed, one for the main web server, a second for the database, and a third as a cache server for relieving the load on the database. These are planned as virtual machines, so that they can be located on the same physical machine and easily moved if necessary. The disk space required for the database is calculated with test documents since the average document size, the number of clients and how much they upload is known. Disks with adequate size can therefore be chosen. Different ways of improving performance and lowering failure rate of the disks are discussed with the means of RAID levels. These levels improve both disks reliability and performance in different ways.RAID 10 is designated for the database and RAID 1 for the web server and the caching server since those levels are the most suited for these applications. CPU and memory requirements are chosen based on availability and cost. Network bandwidth is analyzed and confirmed as sufficient with the help of the test database and since the bottleneck would be the CPU converting the uploaded documents. Software for backup and administration of the virtual machines are chosen comparing their functionality and the requirements for the project and their cost. After the hardware needs are identified, an cost analysis is made between hosting in Devo IT's server room or outsourcing it to an external company. It was revealed, as Devo IT suspected, that outsourcing costs more. The results of this thesis enables Devo IT to create a service with good quality, which will meet the clients expectations and also make Devo IT grow as a company with new clients and increased revenue.
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Leach, Nicholas Paul. "A cycle time constrained approach to manufacturing capacity planning". Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325775.
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Guvener, L. Z. "Computer aided estimation of machining parameters for capacity planning". Thesis, University of Nottingham, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.355427.
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SANTOS, DIEGO DOS. "COVERAGE AND CAPACITY PLANNING OF LTE BROADBAND ACCESS NETWORKS". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2010. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=17607@1.
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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIORFUNDAÇÃO DE APOIO À PESQUISA DO ESTADO DO RIO DE JANEIRO
Atualmente, as redes celulares estão sendo utilizadas como uma saída para prover serviços de banda larga em locais que ainda não são atendidos pelas redes fixas, principalmente em países subdesenvolvidos como o Brasil. As tecnologias empregadas atualmente no Brasil, o GSM (Global System for Mobile) e o UMTS (Universal Mobile Telecommunications System), não são tecnologias desenvolvidas para absorver a grande demanda que vem sendo observada no mercado de banda larga móvel. Devido a essa demanda inesperada, acredita-se que o LTE (Long Term Evolution), a primeira tecnologia desenvolvida com o objetivo de atender não somente as chamadas de voz, mas principalmente as conexões banda larga, apresente condições de suportar com maior eficiência esta crescente necessidade. Para que todas as expectativas relacionadas à capacidade das redes LTE sejam atendidas, é extremamente necessário que um correto dimensionamento dessas redes seja realizado, pois somente desta forma será possível estabelecer o compromisso de se atender os usuários com qualidade.
At the moment, the cellular networks are being used as an option to provide broadband services in places that have not yet been covered by the fixed networks, mainly in underdeveloped countries like Brazil. The employed technologies now in Brazil, GSM (Global System is Mobile) and UMTS (Mobile Universal Telecommunications System), they were not developed to absorb the great demand that has been observed at the broadband mobile market. Due to that unexpected demand, it’s being believed that LTE (Long Term Evolution), the first technology developed with the objective of supporting not only the voice calls, but mainly the broadband connections, is able to hold with larger efficiency this growing needs. For all that expectations about the LTE network’s capacity be achieved, it is extremely necessary that a correct sizing of those networks be accomplished, therefore only this way it will be possible to establish the commitment of supporting the subscribers with quality.
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Pakir, Mohamad Rafidah. "Capacity planning in virtualised environments using model driven engineering". Thesis, University of York, 2015. http://etheses.whiterose.ac.uk/20117/.
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Capacity planning is an important activity in computing for optimising resource usage while avoiding performance degradation. The demand for computing resources is triggered by application workloads running on virtual or physical machines. With today's technology, resource scalability can be achieved through server virtualisation, by having scalable virtual machines running on a physical server. However, these scalable virtual resources run on limited physical resources, especially in small to medium scale data centres. The management of virtual and physical resources impacts upon application performance and introduces a cost for all parties. There is a need to measure the virtual and physical resource requirements in facilitating cost-effective capacity planning. This research identifies three main management phases for a capacity planning process for a data centre implementing server virtualisation: capturing application workloads, managing virtual resources and managing physical resources. This research proposes an approach that leverages domain specific modelling and model transformation to estimate resource requirements based on predicted application workloads for certain time periods. Model-Driven Engineering (MDE) was utilised to automate the identified process. A transparent, automated and repeatable MDE process for generating predictions for resource usage from workload models and sets of Domain Specific Modelling Languages (DSMLs) that allow resource and workloads logs as well as predicted workloads to be precisely captured using models were designed, implemented and evaluated with case studies. The MDE process exploits model transformation, comparison and merging, is modularised so that it can be configured for different kinds of capacity planning applications and technical infrastructures.
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Kelly, Robert J. (Robert John) 1970. "An approach to strategic capacity planning using information visualization". Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/84323.
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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program at MIT, 2002.Includes bibliographical references (p. 87-89).
by Robert J. Kelly.
S.M.
M.B.A.
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Zeppieri, Michael A. (Michael Anthony) 1975. "Predictive capacity planning modeling with tactical and strategic applications". Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/34742.
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2004.Includes bibliographical references (p. 78).
The focus of my internship was the development of a predictive capacity planning model to characterize the storage requirements and space utilization for Amazon's Campbellsville (SDF) Fulfillment Center (FC). Amazon currently has a functional model that serves the purpose of capacity planning, but they were looking for something that would provide more insight into their storage requirements against various demand forecasts and time horizons. With a more comprehensive model in place, Amazon would then have the ability to initiate studies, with the intent of optimizing the key parameters of their capacity flow Amazon utilizes a fairly robust and complex software solution for allocating items to storage locations as it receives shipments from its network of manufacturers and distributors. Amazon designates its capacity storage areas as being Prime, Reserve or Random Stow. Prime storage locations are bins from which workers pick items to fulfill orders. Reserve storage consists of pallet locations from which workers replenish Prime bins. Random Stow is a special case form of storage not taken into consideration for the purposes of my internship. The algorithm that determines the capacity allocation for a particular item is driven by two key parameters. The first parameter Amazon refers to as Days of Cover, which serves as a cycle and safety stock control variable. The maximum Days of Cover setting dictates the quantity of a particular item allocated to Prime locations, with any remaining items in the shipment being sent to Reserve. The minimum Days of Cover serves as the trigger resulting in a replenishment move from Reserve to Prime.
(cont.) The second parameter, designated as Velocity to Bin Type Mapping, associates Prime bin locations to item demand in terms of outbound cubic volume per week. Amazon's Campbellsville facility has three tiers of Prime storage: Library Deep. Case Flow and Pallet Prime, with each tier representing a larger physical bin size in terms of capacity. The Velocity to Bin Type mapping parameter essentially sets ranges of demand to each of the bin types, such that items are sent to the bin type matching their demand. Amazon's capacity constraints are seasonal, with the holiday season posing the greatest challenge in terms of having enough Prime locations to fulfill demand. Amazon currently has no means of predicting the effects on their capacity allocation when operators make adjustments to either Days of Cover or Velocity to Bin Type Mapping. While operators do have some degree of insight into the dynamics these parameters have on capacity allocation, they are unable to optimize capacity utilization. The challenge for my internship was to develop a model that would provide insight into the dynamics driving these system parameters. The scope of the internship was to convert a demand prediction based on Sales figures into a forecast on capacity storage requirements. The focus of my work centered on providing the logic flow to perform this conversion, driven by a model built using Microsoft Excel and driven by a series of Visual Basic macros ...
by Michael A. Zeppieri.
M.B.A.
S.M.
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Luo, Sifo. "Capacity planning under demand and manufacturing uncertainty for biologics". Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112865.
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Thesis: M. Eng. in Supply Chain Management, Massachusetts Institute of Technology, Supply Chain Management Program, 2017.Cataloged from PDF version of thesis.
Includes bibliographical references (page 58).
Due to the long lead times and complexity in drug development and approval processes, pharmaceutical companies use long range planning to plan their production for the next 10 years. Capacity planning is largely driven by the long-term demand and its forecast uncertainty. The impact of uncertainties at manufacturing level, such as factory productivity and production success rate, are not entirely taken into account since only the average values of each manufacturing parameter are used. Can we better allocate production among manufacturing facilities when both demand and manufacturing uncertainties are considered? In this thesis a stochastic optimization approach is followed to minimize the deviation from target capacity limit under different manufacturing and demand scenarios. The mixed integer linear model incorporates the impact of demand and manufacturing variation on production allocation among manufacturing facilities through Monte Carlo generated scenarios. The thesis model is designed in a way that can be used as a decision tool to perform robust capacity planning at the strategic level.
by Sifo Luo.
M. Eng. in Supply Chain Management
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Egilmez, Gokhan. "Consumption-Driven Finite Capacity Inventory Planning and Production Control". Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1251985130.
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Afzal, Ali. "Capacity planning and stochastic scheduling in grid computing environments". Thesis, Imperial College London, 2007. http://hdl.handle.net/10044/1/11503.
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DeHart, Lisa Joanne. "LATE ADULT LIFE PLANNING: ADDRESSING SELF CAPACITY AND NEGLECT". CSUSB ScholarWorks, 2017. https://scholarworks.lib.csusb.edu/etd/479.
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This study explores the relationship between Adult Protective Service (APS) referrals and the link between dementia type behaviors. The question is does self-neglect, due to dementia precipitate multiple APS referrals? A quantitative-study was conducted based upon a random selection of fifty client files from the years 2014 and 2015. The information collected was based upon data provided to the APS hotline and what was determined by the APS investigators. SPSS software was used to determine the values of the data. Table 1 displays the results of demographics with 37% males and 63% females. Results of this study are inconsistent with the existing literature.
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Taha, Kofi A. (Kofi Abdul Malik). "Creative capacity building in post-conflict Uganda". Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/63238.
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Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2011.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 49-51).
Creative Capacity Building (CCB) is a methodology that emphasizes the ability of people living in poverty to create livelihood technologies, i.e., machines and tools that increase income, improve health and safety, decrease manual labor or significantly save time. By distilling key elements of the design process into a hands-on curriculum that is accessible to any educational level, and relying upon the principles of participatory development and appropriate technology, CCB promotes a democratic framework for the application of technology in development that encourages people to become active creators of technology, not just recipients or users of technology. This thesis describes my personal experiences developing and implementing this new approach with Amy Smith, Director of D-Lab @ MIT, in several post-conflict communities in Northern Uganda. The principle claims of this paper are: 1) by emphasizing local participation and innovation, CCB is software for the hardware of Appropriate Technology 2.0, an updated and strengthened version of the appropriate technology movement that is no longer in favor in development circles; 2) the CCB curriculum is not effective as a stand alone intervention and requires a broader methodology that includes ongoing trainings, resources and venues that develop local capacity; 3) CCB also requires a reinterpretation of the role of the development professional from that of an external, "expert consultant" to a self-reflective participant and facilitator that enhances the abilities of others to transform their own lives and communities 4) the positive impact of every technology intervention, including CCB, is contingent upon successful navigation of the local setting-- in particular the cultural, political, economic, organizational and interpersonal dynamics that affect implementation; and 5) the ethics embedded in CCB have provided me with a framework for a personal theory of practice and a practice of action that prioritizes engagement in short-term poverty elimination strategies over long-term economic or political strategies, and that embraces the vulnerability that is required to bear witness, to reflect, to practice mindfulness in working and interacting with people, and to always maintain hope.
by Kofi A. Taha.
M.C.P.
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Fan, Yang-Chih, i 范揚智. "Capacity Planning for Semiconductor Manufacturing". Thesis, 1999. http://ndltd.ncl.edu.tw/handle/30305928200393354077.
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碩士中原大學
工業工程學系
87
Semiconductor manufacturing in Taiwan is growing very fast. In addition to the development in products and manufacturing technologies, production management such as capacity planning is one way for IC fabs to become competitive in the world market. In this research, a capacity planning system (CPS) is developed on the assumption of infinite capacity. CPS consists of three major modules: WIP-pulling module, workload allocation and accumulation module, and wafer release module. To meet master production schedule (MPS), WIP-pulling module pulls WIP from the end of the process routine. Estimated step cycle time is used to determine a lot''s start time at a step. Workload allocation and accumulation module then calculates the expected equipment loading at different time period. If current WIP cannot satisfy the MPS requirement, wafer release module is used to determine the planned wafer start time and the start production line according to the backward scheduling and the future loading of key equipment types. A CPS program is developed to evaluate the performance such as total extra capacity requirement exceeding the equipment capacity limit and the number of equipment whose capacity requirement exceeding its capacity limit. Simulation results show that CPS can estimate expected equipment loading and balance the workload among production lines.
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Harianto, Harry, i 何直霖. "Capacity Planning for Packaging Industry". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/79403204131545951788.
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碩士國立清華大學
工業工程與工程管理學系
104
In this research, a Capacity Planning System (CPS) is developed using Microsoft Visual Basic for Application (VBA) to generate a feasible production schedules and avoid overcapacity. This capacity planning system can assign orders to production lines by considering stocks in inventory and number of production loss due to initial machine setup quality checking, and process characteristics. Moreover, it can also plan order release time, and balance machine loading. This can be accomplished by implementing five major modules in the capacity planning system: Order Treatment Module (OTM), Order Priority Module (OPM), Lot Release Module (LRM), Workload Accumulation Module (WAM), and Workload Balance Module (WBM). CPS results indicated that CPS could effectively reduce overcapacity. Additionally, experimental design is used to evaluate the effectiveness and efficiency of the proposed CPS with various factors and levels. There are five factors considered (number of orders, order size, order size variance, order priority and balance policy) and the responses of this experimental analysis are machine workload balance, order due date deviation and lateness. Analysis of variance (ANOVA) is used to evaluate the factors in accordance to the responses. Moreover, the optimal settings for the control factors under 8 combinations of different environment factors are also evaluated. This can assist decision makers to use the optimal settings of control factors to generate the best favorable response under different environment factors.
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Chen, Chin-Chieh, i 陳俊杰. "Capacity Planning for IC Test Plant". Thesis, 1999. http://ndltd.ncl.edu.tw/handle/41129048640424504008.
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碩士中原大學
工業工程學系
87
Semiconductor manufacturing in Taiwan is growing very fast. In Final Test area, improved capacity planning is one way to increase productivity and competitiveness. In this research, a capacity planning system is proposed for a IC test plant. Four modules are developed：WIP-Pulling Module, Lot Release Module, Workload Accumulate Module, and Workload Balance Module. WIP-Pulling Module is used to caculate lot start time and finish time to meet master production schedule (MPS) using WIP information such as current operation and batch size. When WIP quantity is insufficient, Lot Release Module is called. After calculating the lot start time and finish time, Workload Accumulate Module is used to accumulate the workload of machine and jig in each day. If the workload of machine and jig are unbalanced, Workload Balance Module is used to balance these manufacturing resources. A prototype capacity planning software is developed in Microsoft Visual Basic and industrial data are used to test the performance of the capacity planning system. Based on the design of experiments, simulation results show that the capacity planning system is effective and efficient to balance the workload of manufacturing resources including machine and jig.
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Chien, Chieh Wei, i 簡介偉. "Object Oriented Simulation and Capacity Planning". Thesis, 1994. http://ndltd.ncl.edu.tw/handle/93414621501801217262.
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碩士中原大學
工業工程研究所
82
Capacity in a manufacturing process represents men , machines ,equipments and the production methods employeed. A well designed capacity plan enables a company to utilize its resources effectively. In this research , we apply the concept of Object Oriented Programming and the tools in C++ to develop a structure for designing a simulation model. It enables the manufacturers to manage their capacity problem as a whole. We established a base class for the "capacity" and applied the concept of template to build the structure for simulation . Whenever there is a change in the number or the availability of men, machines or equipments , there is a change in the corresponding capacity of that item effectively. The developed structure allow users to model a replacement of an identical item with great flexibility, and provides the capability to simulate the dynamic situation of capacity in manufacturing process.
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Chen, Yu-JEN, i 陳昱任. "Capacity Planning for Precision Machinery Industry". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/zm6je8.
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Chen, Ying-Hsuan, i 陳穎萱. "A study on project capacity requirements planning and material requirements planning". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/19730704079021178021.
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碩士國立屏東科技大學
工業管理系
93
The purpose of this study systematically aims at project capacity requirements planning and material requirements planning (PCRP/MRP) for the use of project manager while planning and controlling specific event. Since previous studies focused on the project management are piled up to a certain scale centered on PCRP/MRP have little mentioned from a view of integrated planning framework. This model considers the discounted net present values and project material costs into the resource-constrained multi-project scheduling problem systematically and also develop two efficient solution procedures in terms of the optimal model and a particle swarm optimization-based algorithm. To test the superiority of model and algorithm proposed in this work, a comparison between the developed heuristic rule and current heuristic rules is also conducted followed by an analysis on key factor affecting the project scheduling performance. The implementation results indicate that the heuristic rule proposed in this work is superior the current heuristic rules. It is expected that the results of this study will provide a valuable reference for our industries to perform more efficient project scheduling plan.
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Woo, Hung-Hsiang, i 吳宏祥. "A Cycle Time Based Capacity Planning Mechanism". Thesis, 2000. http://ndltd.ncl.edu.tw/handle/43825999841205349453.
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碩士國立交通大學
工業工程與管理系
88
In this thesis, a novel concept known as AT (Allowance Time) is proposed for developing an effective capacity planning system for the justification of order acceptance. In a typical capacity planning system used in IC foundry, traditional ways to allocate resource to a particular job is by allocating a fixed time interval equal to the processing time of the job. That is, the starting time and ending time of utilizing the resource by the particular job has been fixed when the job has been planned. The AT concept proposes that the resource time allocated to a particular job should be larger than its processing time so the job can ''float'' in the capsulated time interval even when it has been planned. That is, the resource time can be slightly reallocated so that more jobs can be assigned to the resources and achieve higher utilization of resources. According to the concept of AT, we have developed a cycle time based capacity planning prototype system. Based on the capacity planning mechanism, a quick response mechanism for order acceptance justification has also been established.
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Kuo, Wen-Lin, i 郭玟琳. "Visualization Assisted Decision Support for Capacity Planning". Thesis, 1999. http://ndltd.ncl.edu.tw/handle/31555382124495778001.
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碩士元智大學
工業工程研究所
87
Production planning in a dynamic environment involves the evaluation of many ever changing, uncertain, and mutually interacting variables such as cost, product life cycle, manufacturing technology, market trend, enterprise resource allocation strategy, politics and many others. It is very difficult to build a computational model to automatically evaluate these dynamic variables and select the best plans. Current practice still requires human being to be involved in the decision-making process. To assist human planner comprehend the data, visualization of graphical display of the data is often employed. Visualization of data takes advantages of people’s natural strength in rapid visual pattern recognition and enables human planner to quickly and easily examine and comprehend different plans. In this work, 2D grid graphs are employed to visualize tabular data of production plans and their corresponding idle cost. In this content, it is often desired to assign adjacent points in the graph whose values are close the same color so that production patterns such as “the production amount of product i forms two clusters during the planning period” and “from month a to b, the production amount of products i to j are close” could be easily visualized. To do so, we assign each point in the graph a weight based on its adjacent points that have the same color. The summation of weights of points in the graph whose color is C is then defined as the “weighted area” of C. By finding a color-value mapping that assigns each color near-uniform weighted area through a combinatorial optimization using simulation annealing, the resulted color-value mapping would assign adjacent points in the graph whose values are close the same color. Another problem we addressed in this work is the development of a graph similarity measure to display multiple grid graphs according to their similarity to a query graph. Due to the screen size restriction, only a limited number of graphs could be displayed in a screen. A useful approach thus is to display only those graphs that are similar to a query graph which represents a production plan that have certain production patterns the user is interesting in. We propose a nested string matching method to access the similarity of grid graphs. Let GQ be a query graph and GC be a compared graph. The method first transform or edit points in each row of GC to points in each row of GQ, which is accomplished by a string matching along the horizontal direction. The match results are then employed in the second string matching which transforms rows of GC to rows of GQ along the vertical direction. Experimental case study is provided to show the effectiveness of the proposed method.
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Chen, Chien-Chang, i 陳建璋. "Heuristic in Resource-Constrained Capacity Planning Model". Thesis, 2008. http://ndltd.ncl.edu.tw/handle/22422575730730931791.
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碩士東海大學
工業工程與經營資訊學系
96
Due to the rapid changes in the production environment, hence the traditional capacity planning can not provide decisions to enterprise effectively. For example, Material Requirements Planning (MRP) does not consider the capacity constraints, although the loading status of manufacturing system can be obtained by CRP, CRP can not provide load shifting/unloading suggestion to the planner in order to prevent overloading. Previous studies considered their production planning approach with finite capacity constraints, but production feature, i.e. depended setup time, were not available to consider. In this study, a new production planning approach, called pull-push finite capacity production planning, will be developed with considering the finite capacity constraint and more production features. A shop flow manufacture environment is also be built to show the performance of pull-push finite capacity production planning can obtain the better solution than previous studies, and use four scenarios to verify the method that this research proposed.
44
Weng, Chi-Rei, i 翁啟瑞. "Semi-dynamic Capacity Planning for Semiconductor Manufacturing". Thesis, 1999. http://ndltd.ncl.edu.tw/handle/79561773586283862593.
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碩士國立臺灣大學
工業工程學研究所
87
Queueing and simulation methodologies have been applied to capacity modeling in semiconductor manufacturing. The advantage of queueing capacity model is the rapid computation time. The software that implements a queueing model can usually obtain estimates under two minutes for fabs that take hours to simulate. Simulation model could provide detail information but consume numerous computation load. However, product mix is changed rapid since the life cycle of the product is shorter than before and market demand is fluctuated with time. The manufacturing system would not be the steady state because of short product mix cycles and the long process flow production. The queueing capacity model based on steady state is invalid for the semiconductor manufacturing. This study developed semi-dynamic capacity model for non-steady state manufacturing system using queueing capacity model. This research contains queueing and semi-dynamic capacity models. First, the characteristic of semiconductor manufacturing is described. Then, a queueing capacity model and WIP tracking system were developed. The system evaluates non-steady state manufacturing system using agile simulation-based model.
45
Li, Wei-Ron, i 李偉榮. "Capacity Planning for Multi-Bottleneck Production Lines". Thesis, 1999. http://ndltd.ncl.edu.tw/handle/54146719893093071610.
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碩士中原大學
工業工程學系
87
The throughput of bottleneck workstation determines the throughput of a production line. It is important to conduct capacity planning for multiple workstations as they may become bottleneck due to different product mix and variation in machine capacity. This research proposes a capacity planning algorithm for multiple bottleneck production lines and applies it to multi-layer ceramic capacitor plants. This approach first analyzes the capacity requirement of customer orders. It then selects the orders satisfying production constraints and capacity limitation of each bottleneck workstation. Adjustment is made to balance the loading of each workstation in terms of critical resources such as nets. A computer program is developed using Microsoft Visual Basic to implement the proposed algorithm and to evaluate its performance on a ceramic capacitor plant. Based on the design of experiments, simulation results show that our approach leads to better performance in average system throughput, average utilization of bottleneck workstations, and the standard deviation of the utilization of bottleneck workstations, compared to the approaches considering only one bottleneck workstation.
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Hsu, Shih-Chou, i 許世洲. "Outsourcing Capacity Planning for IC Design House". Thesis, 2003. http://ndltd.ncl.edu.tw/handle/19694610863559665307.
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博士國立交通大學
工業工程與管理系
91
Outsourcing capacity is one of the key issues for IC Design House. There are two fundamental problems in outsourcing capacity management. They are the estimation of net capacity and the allocation of capacity. The purpose of this thesis is to propose a framework of Outsourcing Capacity Planning (OCP) to solve these two problems for IC Design House. The framework of OCP contains three parts: Net Demand Planning, Net Capacity Demand Planning, and Booking Capacity Planning. Linear Programming (LP) is employed to generate a net demand plan. A transformation process that transforms net demand into net capacity demand is applied to obtain the net capacity demand plan. Finally, we use Analytic Hierarchy Process (AHP) to combine the factors, which IC Design House considers for outsourcing, into a Utility Index (U.I.). We then apply U.I. to develop a heuristic method to deal with the booking capacity planning problem. The result of OCP yields better performance than that of the practice approach normally applied in real-world environment. In addition, OCP provides a decision procedure to assist IC Design House in monitoring the performance of each subcontractor.
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Jiang, Zhong Hui He, i 何江中匯. "Pricing and capacity planning under hunger marketing". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/29034946822654933669.
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碩士國立臺灣大學
工業工程學研究所
104
This research studies pricing and capacity planning problems under hunger marketing. Hunger marketing is a tool used to influence customers’ demand behavior by providing limited product supply. Due to the inventory shortages and long queues, customers who buy the product earlier will enhance their social status. In addition, the popularity of products (or maybe bandwagon effect) also serves an indicator or superior product quality and to attract more attention from consumers. The long waiting queue will lure more potential buyers to join based on the reasons that have mentioned above. There are few literatures discussed the hunger marketing issues, especially the customers demand are influenced by the waiting time. In our research, customer’s utility function for the product depends on: (1) Customer Waiting Time (2) Product Utility (3) Product Price. To benefit from hunger marketing strategy, the company decision maker must determine a proper capacity level. Furthermore, different customer has his/her own individual appetite toward the product. Thus, some people buy earlier owing to the benefit of showing of their difference, but others wait until the price dropped as a result of they cannot afford it. Hence, the company can take more customers surplus from the market by changing its price. Our model establish two types of condition that happened in the hunger marketing such as customers have a difficult with observing the queue length, and they can figure out the exact waiting time. We analyzed three kinds of customers who have different attitude while they are waiting. Situations that including customers have the same sensitivity in benefit of waiting and cost of waiting, another is they easily run out of patience and hard to be lured by the long queues, and the other is they have a bandwagon effect that consumers simply follow the trend to purchase. In conclusion, numerical studies showed that when customers cannot catch the precise time they will wait, hunger marketing strategy is beneficial and pricing strategy has a ladder tendency. In contrast, when every customer knows his/her waiting time precisely, company will no longer do the hunger marketing, and rely on mark down pricing to earn more profit.
48
張美滿. "Multi-Plant Capacity Planning for Coordinated Manufacturing". Thesis, 2002. http://ndltd.ncl.edu.tw/handle/03845796337705832630.
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碩士元智大學
工業工程與管理學系
90
In order to satisfy the demand of increasing orders, a company must expand the production capacity to meet the orders. Due to the increasing production scale, a company must adopt a multi-plant manufacturing strategy to increase the capacity to satisfy the ordered demands. Under this consideration, it is important to develop a coordinated capacity planning in the manufacturing model to meet the change in such production environment. The objective of this research is to develop three integrate capacity planning models in three phases. This model is aimed at minimizing the total production cost under the consideration of historical sales volumes among plants and constraints of resources and equipment. The multi-plant capacity planning model is analyzed according to the historical sales volume, order allocation by sales capacity constrain, workstation capacity load by machine capacity constrain to find the bottleneck workstation. In this model, we obtain the minimal integrated cost including production cost, manufacturing cost, out-sourcing cost, delay cost, and delivery cost. In phase one, we can obtain the amount of product order requirement of each plant. In phase two the workstation capacity load and bottleneck workstation of each plant is obtained. In phase three, we can obtain the workstation production amount, outsourcing amount and utilization of capacity by means of balancing the bottleneck workstation requirements. The multi-plant capacity is modeled and solved using the linear programming formulation and technologies. In this way, an optimal multi-plant capacity planning solution can be found. We can arrange the production planning and schedule planning according to the optimal solution of multi-plant capacity planning.
49
QIU, YI-SHENG, i 邱奕聖. "Computer hardware resources capacity planning and analysis". Thesis, 1990. http://ndltd.ncl.edu.tw/handle/85149588611959187880.
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50
Chen, Chun-Ying, i 陳俊穎. "Capacity planning during production ramp-up stage". Thesis, 2011. http://ndltd.ncl.edu.tw/handle/51781519826304938223.
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碩士國立交通大學
工業工程與管理學系
99
Continuous production process improvement is an important issue in semiconductor companies. The smaller line width of production process is, the more numbers of chip per wafer are. Therefore semiconductor companies continuously introduce new production processes to reduce line width that cuts the chip unit cost down. However, semiconductor companies face with rapid product lifecycles and competitive pressure. A new production process is frequently introduced into a production line when it is ill understood. The yield of new production process is very low and unstable that causes a lot of wafer waste. For meeting customer demands, current and new production processes are frequently existed simultaneously in production line at production ramp-up stage. In this study we assume yield learning of new production process during ramp-up stage is determined by two factors. One is learning-by-doing, and the other is learning-by-experiment. We suppose the two factors are defined by the number of released lots of new production process. In this study we consider the constraints of capacity and customer demands we formulate a mathematical model to determine the released lots of new and current production for minimize raw wafer costs and holding cost. We also perform sensitivity analysis of parameters of learning function and per raw wafer cost for some management insights.