Relevant bibliographies by topics / Process model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Process model'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 June 2025

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Journal articles on the topic "Process model"

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Kumar, Ajit. "Software Re-engineering Process Model." International Journal of Science and Research (IJSR) 10, no. 1 (January 27, 2021): 474–76. https://doi.org/10.21275/sr21101152601.

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Monday, Eze, and Okunbor Charles. "Analytical study of software development process model variants." Global Journal of Engineering and Technology Advances 8, no. 2 (August 30, 2021): 023–31. https://doi.org/10.5281/zenodo.5195424.

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Software Engineering is a branch of Computer Science that evolved as a result of urgent need to deal with decades of software crisis, characterized by low theoretical knowledge and practice of the construction of error-free and efficient software. The introduction of well-organized scientific, engineering and management strategies in the process of software development no doubt led to major breakthroughs, and solutions to software failures. One of the obvious game-changer in this regard is the evolution of Software Development Life Cycle, also known as Software Process Model for driving the different phases of software construction. A sound understanding of the process model is therefore inevitable, not just for software developers, but also to users and researchers. Such a theoretical cum practical understanding will enhance decisions on which process model is best for a particular job or perspective. This invariably, contributes immensely to the probability of success or failure of the project in question. Thus, the necessity for this research. This work presents an unambiguous expository of selected software development model variants. A total of four process model variants were studied, in a theoretical, visual and analytical manner. The variants were analyzed using strength versus weakness (SVW) tabular scenario. This work was concluded by presenting guides towards choice of these models. This research is expected to be a useful reference to software practitioners and researchers.
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Abd EL-hamid, Ahmed S., Ahmed E. hussian, and Aly M. Radwan. "Generic Model Control of Biomethanation Process." International Journal of Engineering Research 4, no. 6 (June 1, 2015): 282–85. http://dx.doi.org/10.17950/ijer/v4s6/602.

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Solanki, Dr Ashvinkumar H. "Portfolio Selection Process through Markowitz Model." Indian Journal of Applied Research 4, no. 8 (October 1, 2011): 356–58. http://dx.doi.org/10.15373/2249555x/august2014/90.

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Shalamanov, Velizar. "Process-oriented Model of Information Warfare." Information & Security: An International Journal 1, no. 2 (1998): 59–66. http://dx.doi.org/10.11610/isij.0116.

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Satti, Rabail Shafique, and Fakeeha Jafari. "Domain Specific Cyber Forensic Investigation Process Model." Journal of Advances in Computer Networks 3, no. 1 (2015): 75–81. http://dx.doi.org/10.7763/jacn.2015.v3.145.

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Martynyuk, Oleksandr. "Model of Process Synchronization in Through Analysis." Advances in Cyber-Physical Systems 6, no. 1 (January 23, 2021): 33–38. http://dx.doi.org/10.23939/acps2021.01.033.

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Synchronization of parallel processes of distributed information systems (DIS) has been largely determined by decisions taken at the stages of their design. Having already been in structural and functional models, when determining cause- and-effect relationships for events and actions in DIS components, it becomes necessary to coordinate them. In the proposed multilevel systemic, structural and functional synchronization model, a hierarchy of such causal relationships with interlevel mappings, inheritance and encapsulation of events and actions have been formed. The model has been also based on hierarchical extended Petri nets, which make it possible to represent various aspects of a special analysis of technical diagnostics, in particular, analysis of correctness, verification, testing, for the adopted display of the asynchronous-behavioral nature of the multilevel interaction of DIS processes. Features of the synchronization model include mapping operations for cross- level inheritance and encapsulations that synchronize events and actions, as well as end-to-end synchronized quasi-order relationships and compatibility for them. The synchronization model is also distinguished by the possibility of specializing its objects, operations and relations for the tasks of check and recognition of behavioral properties set for analysis and verification, basic in technical diagnostics, including in online and offline testing. The synchronization model has allowed one to determine the formal conditions for methods of end-to-end asynchronous coordination of events and actions of multi-level models, that represent design solutions for DIS, in particular, for technical diagnostics methods, and also to reduce the computational complexity of a special synchronization analysis due to an end-to-end decomposition approach. The dimension of the synchronization model has been estimated using the representation of Petri net graphs and special graphs of reachable states using list structures. The above estimates determine the limits of applicability of the formal synchronization model.
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Kottapalli, Pavani. "Virtuous Business Model & Knowledge Creation Process." International Journal of Science and Research (IJSR) 10, no. 10 (October 5, 2021): 1622–23. http://dx.doi.org/10.21275/sr24531192911.

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Mielcarek, Paweł. "Process maturity model of organization." Management Forum 5, no. 4 (2017): 8–12. http://dx.doi.org/10.15611/mf.2017.4.02.

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Woś-Szymanowska, Agnieszka. "Process Communication Model – an effective tool supporting education." Edukacyjna Analiza Transakcyjna 7 (2018): 15–26. http://dx.doi.org/10.16926/eat.2018.07.01.

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Dissertations / Theses on the topic "Process model"

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Cibulka, Ondřej. "Hodnocení výkonnosti BI procesů v bankovnictví." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-72422.

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Diploma thesis named Evaluation of BI processes in the banking sector is focused on obtaining information from production databases and streamlining the process of creating BI reports in the organization. The process of creating a report is an analytical work, examining the current state of business processes and their support by enterprise applications. The aim of this work is to create a practical proposal for improving the effectiveness of tasks connected with a report set up within GE Money Bank. The main objective is achieved through a design work on the maturity model of BI reporting. Part of the model is a set of tools for identifying the current level of maturity and the conditions necessary for a transition to the next level in accordance with the required level of a BI reporting. The benefit of this diploma thesis is an analysis of commonly used approaches to assess the maturity levels of processes and an application of results of this analysis in Business Intelligence area, specifically the maturity assessment reporting. The result is a maturity model of BI reporting.
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Smirnov, Sergey. "Business process model abstraction." Phd thesis, Universität Potsdam, 2011. http://opus.kobv.de/ubp/volltexte/2012/6025/.

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Business process models are used within a range of organizational initiatives, where every stakeholder has a unique perspective on a process and demands the respective model. As a consequence, multiple process models capturing the very same business process coexist. Keeping such models in sync is a challenge within an ever changing business environment: once a process is changed, all its models have to be updated. Due to a large number of models and their complex relations, model maintenance becomes error-prone and expensive. Against this background, business process model abstraction emerged as an operation reducing the number of stored process models and facilitating model management. Business process model abstraction is an operation preserving essential process properties and leaving out insignificant details in order to retain information relevant for a particular purpose. Process model abstraction has been addressed by several researchers. The focus of their studies has been on particular use cases and model transformations supporting these use cases. This thesis systematically approaches the problem of business process model abstraction shaping the outcome into a framework. We investigate the current industry demand in abstraction summarizing it in a catalog of business process model abstraction use cases. The thesis focuses on one prominent use case where the user demands a model with coarse-grained activities and overall process ordering constraints. We develop model transformations that support this use case starting with the transformations based on process model structure analysis. Further, abstraction methods considering the semantics of process model elements are investigated. First, we suggest how semantically related activities can be discovered in process models-a barely researched challenge. The thesis validates the designed abstraction methods against sets of industrial process models and discusses the method implementation aspects. Second, we develop a novel model transformation, which combined with the related activity discovery allows flexible non-hierarchical abstraction. In this way this thesis advocates novel model transformations that facilitate business process model management and provides the foundations for innovative tool support.<br>Geschäftsprozessmodelle werden in einer Fülle organisatorischer Initiativen eingesetzt, wobei verschiedene Stakeholder individuelle Ansprüche an die Sicht auf den jeweiligen Prozess haben. Dies führt dazu, dass zu einem Geschäftsprozess eine Vielzahl unterschiedlicher Modelle existiert. In einer sich ständig verändernden Geschäftsumgebung ist es daher schwierig, diese Vielzahl von Modellen konsistent zu halten: Ändert sich sich ein Prozess, müssen alle Modelle, die ihn beschreiben, aktualisiert werden. Aufgrund der schieren Menge an Prozessmodellen und ihrer komplexen Beziehungen zueinander, erhöhen sich Aufwand und Kosten zur Pflege aller Modelle enorm. Vor diesem Hintergrund ermöglicht die Abstraktion von Geschäftsprozessmodellen, die Menge der Modelle zu reduzieren und damit ihre Verwaltung zu vereinfachen. Abstraktion von Geschäftsprozessmodellen bezeichnet eine Transformation eines Prozessmodells, so dass es für einen bestimmten Zweck besonders geeignet ist. Bei der Abstraktion von Geschäftsprozessen bleiben essentielle Eigenschaften eines Modells erhalten, während irrelevante Eigenschaften verworfen werden. Mehrere Studien stellen Prozessmodellabstraktion in den Fokus und konzentrieren sich auf konkrete Anwendungsfälle, für die sie geeignete Transformationen entwickelt haben. Diese Dissertation untersucht das Problem der Prozessmodellabstraktion und systematisiert die Lösung in einem Framework. Aktuelle Anforderungen der Industrie an die Abstraktion von Prozessmodellen wurden recherchiert und in einem Katalog von Anwendungsfällen zusammengefasst, von denen ein besonderer für die weiteren Untersuchungen ausgewählt wurde. In diesem Fall erwartet der Nutzer ein Modell niedrigeren Detailgrades, in welchem die Kontrollflussbeziehungen des Ursprungsmodells erhalten bleiben. Beginnend bei Modelltransformationen, die auf der Analyse der Prozessmodellstruktur aufbauen, entwickeln wir neuartige Abstraktionsoperationen zur Unterstützung dieses Anwendungsfalles. Darüber hinaus untersuchen wir Abstraktionsmethoden, welche die Semantik von Prozessmodellelementen berücksichtigen. Zum einen zeigen wir, wie Aktivitäten ermittelt werden können, die miteinander in semantischer Beziehung stehen - ein Problem, das bisher nur unzureichend betrachtet wurde. Die vorgeschlagenen Methoden werden mithilfe industrieller Prozessmodellsammlungen validiert und deren Umsetzung diskutiert. Zum anderen schlagen wir eine innovative Modelltransformation zur nicht-hierarchischen Abstraktion von Prozessmodellen vor. Dieser liegt die Ermittlung in Beziehung stehender Aktivitäten zugrunde. Demzufolge präsentiert diese Arbeit eine originäre Methode zur Prozessmodellabstraktion, die die Verwaltung von Geschäftsprozessmodellen vereinfacht und den Grundstein für innovative Softwarewerkzeuge legt.
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Elias, Mturi. "Design of Business Process Model Repositories : Requirements, Semantic Annotation Model and Relationship Meta-model." Doctoral thesis, Stockholms universitet, Institutionen för data- och systemvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-117035.

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Business process management is fast becoming one of the most important approaches for designing contemporary organizations and information systems. A critical component of business process management is business process modelling. It is widely accepted that modelling of business processes from scratch is a complex, time-consuming and error-prone task. However the efforts made to model these processes are seldom reused beyond their original purpose. Reuse of business process models has the potential to overcome the challenges of modelling business processes from scratch. Process model repositories, properly populated, are certainly a step toward supporting reuse of process models. This thesis starts with the observation that the existing process model repositories for supporting process model reuse suffer from several shortcomings that affect their usability in practice. Firstly, most of the existing repositories are proprietary, therefore they can only be enhanced or extended with new models by the owners of the repositories. Secondly, it is difficult to locate and retrieve relevant process models from a large collection. Thirdly, process models are not goal related, thereby making it difficult to gain an understanding of the business goals that are realized by a certain model. Finally, process model repositories lack a clear mechanism to identify and define the relationship between business processes and as a result it is difficult to identify related processes. Following a design science research paradigm, this thesis proposes an open and language-independent process model repository with an efficient retrieval system to support process model reuse. The proposed repository is grounded on four original and interrelated contributions: (1) a set of requirements that a process model repository should possess to increase the probability of process model reuse; (2) a context-based process semantic annotation model for semantically annotating process models to facilitate effective retrieval of process models; (3) a business process relationship meta-model for identifying and defining the relationship of process models in the repository; and (4) architecture of a process model repository for process model reuse. The models and architecture produced in this thesis were evaluated to test their utility, quality and efficacy. The semantic annotation model was evaluated through two empirical studies using controlled experiments. The conclusion drawn from the two studies is that the annotation model improves searching, navigation and understanding of process models. The process relationship meta-model was evaluated using an informed argument to determine the extent to which it meets the established requirements. The results of the analysis revealed that the meta-model meets the established requirements. Also the analysis of the architecture against the requirements indicates that the architecture meets the established requirements.<br>Processhantering, också kallat ärendehantering, har blivit en av de viktigaste ansatserna för att utforma dagens organisationer och informationssystem. En central komponent i processhantering är processmodellering. Det är allmänt känt att modellering av processer kan vara en komplex, tidskrävande och felbenägen uppgift. Och de insatser som görs för att modellera processer kan sällan användas bortom processernas ursprungliga syfte. Återanvändning av processmodeller skulle kunna övervinna många av de utmaningar som finns med att modellera processer. En katalog över processmodeller är ett steg mot att stödja återanvändning av processmodeller. Denna avhandling börjar med observationen att befintliga processmodellkataloger för att stödja återanvändning av processmodeller lider av flera brister som påverkar deras användbarhet i praktiken. För det första är de flesta processmodellkatalogerna proprietära, och därför kan endast katalogägarna förbättra eller utöka dem med nya modeller. För det andra är det svårt att finna och hämta relevanta processmodeller från en stor katalog. För det tredje är processmodeller inte målrelaterade, vilket gör det svårt att få en förståelse för de affärsmål som realiseras av en viss modell. Slutligen så saknar processmodellkataloger ofta en tydlig mekanism för att identifiera och definiera förhållandet mellan processer, och därför är det svårt att identifiera relaterade processer. Utifrån ett designvetenskapligt forskningsparadigm så föreslår denna avhandling en öppen och språkoberoende processmodellkatalog med ett effektivt söksystem för att stödja återanvändning av processmodeller. Den föreslagna katalogen bygger på fyra originella och inbördes relaterade bidrag: (1) en uppsättning krav som en processmodellkatalog bejöver uppfylla för att öka möjligheterna till återanvändning av processmodeller; (2) en kontextbaserad semantisk processannoteringsmodell för semantisk annotering av processmodeller för att underlätta effektivt återvinnande av processmodeller; (3) en metamodell för processrelationer för att identifiera och definiera förhållandet mellan processmodeller i katalogen; och (4) en arkitektur av en processmodellkatalog för återanvändning av processmodeller. De modeller och den arkitektur som tagits fram i denna avhandling har utvärderats för att testa deras användbarhet, kvalitet och effektivitet. Den semantiska annotationsmodellen utvärderades genom två empiriska studier med kontrollerade experiment. Slutsatsen av de två studierna är att modellen förbättrar sökning, navigering och förståelse för processmodeller. Metamodellen för processrelationer utvärderades med hjälp av ett informerat argument för att avgöra i vilken utsträckning den uppfyllde de ställda kraven. Resultaten av analysen visade att metamodellen uppfyllde dessa krav. Även analysen av arkitekturen indikerade att denna uppfyllde de fastställda kraven.
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Maršálek, Vít. "Analýza a optimalizace procesů podniku." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-316715.

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This thesis is focused on optimizing processes at Air Bank, a.s. The aim will be to analyze the banking process called. "Completing the new framework agreement" with the subsequent design optimization for faster problem solving. The first part will be presented theoretical insights that are intended to familiarize the reader with the basic concepts relating to the processes and their optimization. The next part will be focused on analysis of existing activities. Contribution of thesis will be in the analysis of selected processes and propose solutions that will have a real benefit for the operation of the entire department.
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Bello, Bernardo. "PROCESS MANUFACTURING SELECTION MODEL." Thesis, KTH, Industriell produktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-218031.

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Klinkmüller, Christopher. "Adaptive Process Model Matching." Doctoral thesis, Universitätsbibliothek Leipzig, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-224884.

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Process model matchers automate the detection of activities that represent similar functionality in different models. Thus, they provide support for various tasks related to the management of business processes including model collection management and process design. Yet, prior research primarily demonstrated the matchers’ effectiveness, i.e., the accuracy and the completeness of the results. In this context (i) the size of the empirical data is often small, (ii) all data is used for the matcher development, and (iii) the validity of the design decisions is not studied. As a result, existing matchers yield a varying and typically low effectiveness when applied to different datasets, as among others demonstrated by the process model matching contests in 2013 and 2015. With this in mind, the thesis studies the effectiveness of matchers by separating development from evaluation data and by empirically analyzing the validity and the limitations of design decisions. In particular, the thesis develops matchers that rely on different sources of information. First, the activity labels are considered as natural-language descriptions and the Bag-of-Words Technique is introduced which achieves a high effectiveness in comparison to the state of the art. Second, the Order Preserving Bag-of-Words Technique analyzes temporal dependencies between activities in order to automatically configure the Bag-of-Words Technique and to improve its effectiveness. Third, expert feedback is used to adapt the matchers to the domain characteristics of process model collections. Here, the Adaptive Bag-of-Words Technique is introduced which outperforms the state-of-the-art matchers and the other matchers from this thesis.
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Mane, Pranay P. "RO Process Optimization Based on Deterministic Process Model Coupled with Stochastic Cost Model." Thesis, Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14486.

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A survey performed over existing two pilot-scale and two full-scale RO desalination facilities to study the current status of boron rejection showed a highest rejection 85% leading to permeate boron concentration of 0.52 mg/L, and recent studies predicted a cost increase due to incorporation of boron reduction systems. Mathematical models were developed to study the process performance and related cost implications. The deterministic process model was verified with pilot-scale experiment performed using a single spiral wound module and was later modified to represent the full-scale design options available to meet the required water quality criteria. Then the selected full-scale design options were simulated to predict their performance in terms of recovery and boron rejection. For cost analysis, to account for uncertainty probability models were developed for stochastic inputs to the cost estimation model and were used with operating parameters from the full-scale simulations to determine the expected total cost of water produced. Later, a sensitivity analysis was performed to observe the effect of change in uncertainty of inputs. Further, the applications of the deterministic process model are suggested.
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Hejda, Jan. "Problematika vymezení role vlastníka procesu." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-142197.

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The aim of this thesis is to map how the most common process-oriented methodologies and standards govern the issue of process ownership, define the role of a process owner and a comparison of these with a current practice in the corporate environment. The first part describes the theoretical concepts related to process management, including a description of selected methodologies. The following part is a questionnaire and its description followed by the expected responses based on previous theories. The last, third, part of the thesis contains an analysis based on the data obtained from the questionnaire respondents compared with the stated hypotheses and its evaluation.
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Martanová, Kateřina. "Procesní řízení a modelování v podnicích cestovního ruchu." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-7503.

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Thesis presents author's view to principles of business process management (BPM) and the process approach to the description of business processes. The main contribution made by this thesis is subsequent practical application of all principles to particular company in tourism - asistence service. Objectives of this thesis were achieved through studying theoretical resources and use of practical experience.
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Laitinen, Jarmo. "Model based construction process management." Doctoral thesis, Stockholm : Tekniska högsk, 1998. http://www.lib.kth.se/abs98/lait0914.pdf.

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Books on the topic "Process model"

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United States. National Aeronautics and Space Administration., ed. TUNS/TCIS information model/process model. [Washington, DC: National Aeronautics and Space Administration, 1992.

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Kucza, Timo. Knowledge management process model. Espoo [Finland]: Technical Research Centre of Finland, 2001.

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Massachusetts. District Court Department. Administrative Office. Model colloquies. Boston, Mass.]: Administrative Office of the District Court, 2007.

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Massachusetts. District Court Department. Administrative Office. Model colloquies. Boston, Mass.]: Administrative Office of the District Court, 2009.

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Berber, Ridvan, and Costas Kravaris, eds. Nonlinear Model Based Process Control. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5094-1.

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Dijkman, Remco, Jörg Hofstetter, and Jana Koehler, eds. Business Process Model and Notation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25160-3.

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Ansari, Rashid M., and Moses O. Tadé. Nonlinear Model-based Process Control. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0739-2.

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Mendling, Jan, and Matthias Weidlich, eds. Business Process Model and Notation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33155-8.

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Berber, Ridvan. Nonlinear Model Based Process Control. Dordrecht: Springer Netherlands, 1998.

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Henze, M. Activated sludge model. London: International Association on Water Quality, 1995.

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Book chapters on the topic "Process model"

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Pittner, John, and Marwan A. Simaan. "Process Model." In Advances in Industrial Control, 11–32. London: Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-067-0_2.

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Shekhar, Shashi, and Hui Xiong. "Process Model." In Encyclopedia of GIS, 913. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1031.

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Pittner, John, and Marwan A. Simaan. "Process Model." In Tandem Hot Metal Rolling Mill Control, 11–35. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-58082-6_2.

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Corriou, Jean-Pierre. "Model Predictive Control." In Process Control, 631–77. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_16.

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Corriou, Jean-Pierre. "Model Predictive Control." In Process Control, 575–615. London: Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3848-8_16.

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Rengaswamy, Raghunathan, Babji Srinivasan, and Nirav Pravinbhai Bhatt. "Model Predictive Control." In Process Control Fundamentals, 229–50. First edition. | Boca Raton : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9780367433437-8.

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Nilsson, Nils. "The Business Model." In The Entrepreneurial Process, 163–97. Abingdon, Oxon ; New York, NY : Routledge, 2021.: Routledge, 2021. http://dx.doi.org/10.4324/9781003098225-7.

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Gerth, Christian. "Process Model Merging." In Business Process Models. Change Management, 165–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38604-6_10.

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Xiong, Jay. "NSE Process Model." In New Software Engineering Paradigm Based on Complexity Science, 199–236. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7326-9_8.

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Buck-Sorlin, Gerhard. "Process-based Model." In Encyclopedia of Systems Biology, 1755. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1545.

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Conference papers on the topic "Process model"

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Lee, Andrew, Robert B. Parker, Sarah Poon, Dan Gunter, Alexander W. Dowling, and Bethany Nicholson. "Model Diagnostics for Equation-Oriented Models: Roadblocks and the Path Forward." In Foundations of Computer-Aided Process Design, 966–74. Hamilton, Canada: PSE Press, 2024. http://dx.doi.org/10.69997/sct.147875.

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Equation-Oriented (EO) modeling techniques have been gaining popularity as an alternative for simulating and optimizing process systems due to their flexibility and ability to leverage state-of-the-art solvers inaccessible to many procedural modeling approaches. Despite these advantages, adopting EO modeling tools remains challenging due to the significant learning curve and effort required to build and solve models. Many techniques are available to help diagnose problems with EO process models and reduce the effort required to create and use them. However, these techniques still need to be integrated into EO modeling environments, and many modelers are unaware of sophisticated EO diagnostic tools. To survey the availability of model diagnostic tools and common workflows, the U.S. Department of Energy�s Institute for the Design of Advanced Energy Systems (IDAES) has conducted user experience interviews of users of the IDAES Integrated Platform (IDAES-IP) for process modeling. The interviews reveal a gap between the availability and utilization of model diagnostic tools driven primarily by a lack of awareness of and lack of standard interfaces among different tools. To address this gap, the IDAES team has developed a recommended workflow for integrating diagnostics into the model development process and an IDAES Model Diagnostics Toolbox that provides a standard interface for many of these best practices. This paper identifies barriers to the widespread adoption of diagnostic tools for EO models and reduces these barriers by providing a standard, user-friendly interface for many different tools.
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Farlessyost, William, and Shweta Singh. "Improving Mechanistic Model Accuracy with Machine Learning Informed Physics." In Foundations of Computer-Aided Process Design, 275–82. Hamilton, Canada: PSE Press, 2024. http://dx.doi.org/10.69997/sct.121371.

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Machine learning presents opportunities to improve the scale-specific accuracy of mechanistic models in a data-driven manner. Here we demonstrate the use of a machine learning technique called Sparse Identification of Nonlinear Dynamics (SINDy) to improve a simple mechanistic model of algal growth. Time-series measurements of the microalga Chlorella Vulgaris were generated under controlled photobioreactor conditions at the University of Technology Sydney. A simple mechanistic growth model based on intensity of light and temperature was integrated over time and compared to the time-series data. While the mechanistic model broadly captured the overall growth trend, discrepancies remained between the model and data due to the model's simplicity and non-ideal behavior of real-world measurement. SINDy was applied to model the residual error by identifying an error derivative correction term. Addition of this SINDy-informed error dynamics term shows improvement to model accuracy while maintaining interpretability of the underlying mechanistic framework. This work demonstrates the potential for machine learning techniques like SINDy to aid simple mechanistic models in scale-specific predictive accuracy.
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Lynch, Hailey G., Aaron Bjarnason, Daniel J. Laky, Cameron J. Brown, and Alexander W. Dowling. "Optimizing Batch Crystallization with Model-based Design of Experiments." In Foundations of Computer-Aided Process Design, 308–15. Hamilton, Canada: PSE Press, 2024. http://dx.doi.org/10.69997/sct.152239.

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Adaptive and self-optimizing intelligent systems such as digital twins are increasingly important in science and engineering. Digital twins utilize mathematical models to provide added precision to decision-making. However, physics-informed models are challenging to build, calibrate, and validate with existing data science methods. Model-based design of experiments (MBDoE) is a popular framework for optimizing data collection to maximize parameter precision in mathematical models and digital twins. In this work, we apply MBDoE, facilitated by the open-source package Pyomo.DoE, to train and validate mathematical models for batch crystallization. We quantitatively examined the estimability of the model parameters for experiments with different cooling rates. This analysis provides a quantitative explanation for the heuristic of using multiple experiments at different cooling rates.
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Kalenkova, Anna A., Wil M. P. van der Aalst, Irina A. Lomazova, and Vladimir A. Rubin. "Process mining using BPMN." In MODELS '16: ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2976767.2987688.

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De Nicola, Antonio, Tania Di Mascio, Mario Lezoche, and Francesco Taglino. "Semantic Lifting of Business Process Models." In 2008 Workshop on Models and Model-driven Methods for Enterprise Computing (3M4EC 2008). IEEE, 2008. http://dx.doi.org/10.1109/edocw.2008.55.

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Almeida, Joao Paulo A., Adrian Rutle, Manuel Wimmer, and Thomas Kuhne. "The MULTI Process Challenge." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00027.

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Brockhoff, Tobias, Malte Heithoff, Istvan Koren, Judith Michael, Jerome Pfeiffer, Bernhard Rumpe, Merih Seran Uysal, Wil M. P. Van Der Aalst, and Andreas Wortmann. "Process Prediction with Digital Twins." In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2021. http://dx.doi.org/10.1109/models-c53483.2021.00032.

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Leemans, Maikel, and Wil M. P. van der Aalst. "Process mining in software systems: Discovering real-life business transactions and process models from distributed systems." In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. http://dx.doi.org/10.1109/models.2015.7338234.

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"Using Process Ontology Together with Process Editor - To Facilitate Tool Integration." In Special Session on Cooperative Model Driven Development. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005429005650573.

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"PROCESS MODEL VALIDATION - Transforming Process Models to Extended Checking Models." In International Conference on Evaluation of Novel Approaches to Software Engineering. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0003016602140220.

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Reports on the topic "Process model"

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Buck, Edgar C., Richard S. Wittman, Frances N. Skomurski, Kirk J. Cantrell, Bruce K. McNamara, and Chuck Z. Soderquist. Radiolysis Process Model. Office of Scientific and Technical Information (OSTI), July 2012. http://dx.doi.org/10.2172/1069211.

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Ruptier, G. L., and Paul E. Girard. Command Process Model. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada228620.

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J. Schmitt. Biosphere Process Model Report. Office of Scientific and Technical Information (OSTI), May 2000. http://dx.doi.org/10.2172/837091.

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T. Booth. Integrated Site Model Process Report. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/837086.

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Seymour Katz. Cupola Furnace Computer Process Model. Office of Scientific and Technical Information (OSTI), December 2004. http://dx.doi.org/10.2172/859885.

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Barkow, Ingo, William Block, Jay Greenfield, Arofan Gregory, Marcel Hebing, Larry Hoyle, and Wolfgang Zenk-Moltgen. Generic Longitudinal Business Process Model. Inter-university Consortium for Political and Social Research (ICPSR), 2013. http://dx.doi.org/10.3886/ddilongitudinal05.

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Klensin, J., and S. Dawkins. A Model for IETF Process Experiments. RFC Editor, November 2004. http://dx.doi.org/10.17487/rfc3933.

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R.A. Wagner. Near Field Environment Process Model Report. Office of Scientific and Technical Information (OSTI), November 2000. http://dx.doi.org/10.2172/837130.

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Zenyuh, John P., Phillip C. Duncan, William B. Rouse, and Theodore A. Lamb. Job Aiding/Training Decision Process Model. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada256947.

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Hocking, E., R. Johnson, L. Martino, and D. Elcock. A decisional process model for stewardship. Office of Scientific and Technical Information (OSTI), March 2001. http://dx.doi.org/10.2172/776741.

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