Thu, 21 Aug 2008 01:21:06 BST CiteULike: jago's simulation-models http://www.citeulike.org/user/jago/tag/simulation-models CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/jago/article/2899007 <i>International Journal of Production Research, Vol. 46, No. 14. (2008), pp. 3801-3824.</i><br /><br />This paper evaluates dispatching rules and order release policies in two wafer fabrication facilities (thereafter referred to as fab) representing ASIC (application specific integrated circuit) and low-mix high-volume production. Order release policies were fixed-interval (push) release, and constant work-in-process (CONWIP) (pull) policy. Following rigorous fab modelling and statistical analysis, new composite dispatching rules were found to be robust for average and variance of flow time, as well as due-date adherence measures, in both production modes. A simulation study of new multi-objective composite dispatching rules, CONWIP, and push lot release in semiconductor fabrication N Bahaji ME Kuhl doi:10.1080/00207540600711879 International Journal of Production Research, Vol. 46, No. 14. (2008), pp. 3801-3824. 2008-06-16T16:30:52-00:00 2008 International Journal of Production Research 46 14 3801 3824 Taylor & Francis conwip dispatching-rules simulation-models http://www.citeulike.org/user/jago/article/2827422 <i>Journal of Intelligent Manufacturing, Vol. 19, No. 3. (20 June 2008), pp. 293-300.</i><br /><br />Abstract  In this paper, a simulation based optimization method is developed for optimization of scheduling policies. This method uses the technique of coupling industrial simulation software with a multi-objective optimizer based on genetic algorithms. It is used to optimize the performances of a railway maintenance facility by choosing the best scheduling policy. Numerical results show that a significant improvement is achieved with respect to the simulation results of the existing system. The method adapted by our problem can be extended to deal with the selection of scheduling rules in using other types of simulation models. Simulation based optimization of a train maintenance facility Yasmina Hani Lionel Amodeo Farouk Yalaoui Haoxun Chen doi:10.1007/s10845-008-0082-8 Journal of Intelligent Manufacturing, Vol. 19, No. 3. (20 June 2008), pp. 293-300. 2008-05-24T06:52:55-00:00 2008 Journal of Intelligent Manufacturing 19 3 293 300 maintenance-system simulation-models http://www.citeulike.org/user/jago/article/2813157 <i>Sociological Theory, Vol. 19, No. 3. (2001), pp. 292-311.</i> Whatever Happened to Critical Mass Theory? A Retrospective and Assessment PE Oliver G Marwell Sociological Theory, Vol. 19, No. 3. (2001), pp. 292-311. 2008-05-19T13:13:46-00:00 2001 Sociological Theory 19 3 292 311 American Sociological Association collective-action critical-mass-theory simulation-models http://www.citeulike.org/user/jago/article/2795251 <i>Business Process Management Workshops (2008), pp. 66-77.</i><br /><br />Contemporary business process simulation environments are geared towards design-time analysis, rather than operational decision support over already deployed and running processes. In particular, simulation experiments in existing process simulation environments start from an empty execution state. We investigate the requirements for a process simulation environment that allows simulation experiments to start from an intermediate execution state. We propose an architecture addressing these requirements and demonstrate it through a case study conducted using the YAWL workflow engine and CPN simulation tools. Business Process Simulation for Operational Decision Support Moe Wynn Marlon Dumas Colin Fidge Ter Wil van der Aalst doi:10.1007/978-3-540-78238-4_8 Business Process Management Workshops (2008), pp. 66-77. 2008-05-13T15:00:58-00:00 2008 Business Process Management Workshops 66 77 m modelling simulation-models step3 http://www.citeulike.org/user/jago/article/2794744 <i>Systems, Man and Cybernetics, 2003. IEEE International Conference on, Vol. 1 (2003), pp. 551-556 vol.1.</i><br /><br />This work attempts to shed light on the fundamental concepts behind the stability of multi-agent systems. We view the system as a discrete time Markov chain with a potentially unknown transitional probability distribution. The system will be considered to be stable when its state has converged to an equilibrium distribution. Faced with the non-trivial task of establishing the convergence to such a distribution, we propose a hypothesis testing approach according to which we test whether the convergence of a particular system metric has occurred. We describe some artificial multi-agent ecosystems that were developed and we present results based on these systems which confirm that this approach qualitatively agrees with our intuition. Stability of multi-agent systems M Chli P De Wilde J Goossenaerts V Abramov N Szirbik L Correia P Mariano R Ribeiro doi:10.1109/ICSMC.2003.1243872 Systems, Man and Cybernetics, 2003. IEEE International Conference on, Vol. 1 (2003), pp. 551-556 vol.1. 2008-05-13T11:43:19-00:00 2003 Systems, Man and Cybernetics, 2003. IEEE International Conference on 1 551 556 vol.1 macro mas simulation-models http://www.citeulike.org/user/jago/article/2794714 <i>Systems, Man, and Cybernetics, 2001 IEEE International Conference on, Vol. 5 (2001), pp. 3378-3384 vol.5.</i><br /><br />In a trading scenario agents interact with each other, selling and buying resources. In order to control the behavior of the trading scenario, the interactions must be coordinated. We present a brief discussion of communication types and coordination models applicable in multi-agent systems. We find a programmable tuple space more appropriate to manage and rule the interactions between the trading agents. We discuss the advantages of a trading agent model that deals with the trading strategy, concentrating on what to buy or sell. This relieves the agent from the task of coordinating the negotiations and their revoking or acceptances. This is the task of the programmable tuple space Simulation of a trading multi-agent system P Mariano A Pereira L Correia R Ribeiro V Abramov N Szirbik J Goossenaerts T Marwala P De Wilde P De Wilde doi:10.1109/ICSMC.2001.972041 Systems, Man, and Cybernetics, 2001 IEEE International Conference on, Vol. 5 (2001), pp. 3378-3384 vol.5. 2008-05-13T11:40:30-00:00 2001 Systems, Man, and Cybernetics, 2001 IEEE International Conference on 5 3378 3384 vol.5 mas simulation-models http://www.citeulike.org/user/jago/article/2794691 <i>Emerging Technologies and Factory Automation, 1999. Proceedings. ETFA '99. 1999 7th IEEE International Conference on, Vol. 2 (1999), pp. 1437-1441 vol.2.</i><br /><br />In a supply chain, a slight change of management strategy in one company largely affects the effectiveness of the chain as a whole. In particular, when companies generate product families, the relationships between companies are very complex, so it is difficult to analyse them mathematically. We propose a modelling and simulation method to analyse a product-family supply chain for business process reengineering. By modelling the workflow and transport independently, the structure of the supply chain is expressed. From the simulation results, the various criteria (e.g. stock level, response time, etc.) can be calculated A simulation method for evaluating product family supply chain Y Ikkai J Goossenaerts N Komoda doi:10.1109/ETFA.1999.813158 Emerging Technologies and Factory Automation, 1999. Proceedings. ETFA '99. 1999 7th IEEE International Conference on, Vol. 2 (1999), pp. 1437-1441 vol.2. 2008-05-13T11:36:16-00:00 1999 Emerging Technologies and Factory Automation, 1999. Proceedings. ETFA '99. 1999 7th IEEE International Conference on 2 1437 1441 vol.2 product-platform simulation-models supply-chain http://www.citeulike.org/user/jago/article/2793844 <i>Economics of Governance, Vol. 9, No. 2. (7 May 2008), pp. 103-129.</i><br /><br />Abstract  We present a model of a fiscal constitution (i.e., a transfer scheme between income classes) that is self-enforcing against a background in which predatory activities (‘revolutions’) are feasible. In this environment, a constitution self-enforces by structuring society’s interests in such a way that non- compliance necessarily results in a revolution which society would rather avoid. Constitutions as self-enforcing redistributive schemes Dragan Filipovich Jaume Sempere doi:10.1007/s10101-006-0027-7 Economics of Governance, Vol. 9, No. 2. (7 May 2008), pp. 103-129. 2008-05-13T07:54:55-00:00 2008 Economics of Governance 9 2 103 129 contract-compliance fiscality institution-design macro redistribution revolution simulation-models social-contract http://www.citeulike.org/user/jago/article/2789528 <i>Knowledge and Skill Chains in Engineering and Manufacturing Information infrastructure in the Era of Global Communications (2005), pp. 67-74.</i><br /><br />Distributed control systems (DCS) come into wide use in automation areas. In this paper, an object-oriented design pattern approach for modeling, simulation and implementation of the DCS is proposed. The proposed design patterns enable the uniform modeling of the static structures and dynamic behaviors of the DCS, the transformation of the models into simulation program, and the generation of the embedded codes. The Java-based modeler and simulator, and code generator were developed based on these patterns. Applications to the building automation and factory automation systems proved its effectiveness. Object-Oriented Design Pattern Approach to Seamless Modeling, Simulation and Implementation of Distributed Control Systems Satoshi Kanai Takeshi Kishinami Toyoaki Tomura Kiyoshi Uehiro Kazuhiro Ibuka Susumu Yamamoto doi:10.1007/0-387-23572-2_8 Knowledge and Skill Chains in Engineering and Manufacturing Information infrastructure in the Era of Global Communications (2005), pp. 67-74. 2008-05-12T13:58:58-00:00 2005 Knowledge and Skill Chains in Engineering and Manufacturing Information infrastructure in the Era of Global Communications 67 74 design-pattern infrastructure modelling simulation-models software-engineering http://www.citeulike.org/user/jago/article/2789515 <i>Knowledge and Skill Chains in Engineering and Manufacturing Information infrastructure in the Era of Global Communications (2005), pp. 101-109.</i><br /><br />This paper reports progress from the EEII research project where ontological stratification is applied in the study of openness. We explain a stratification approach to reduce the overall complexity of conceptual models, and to enhance their modularity. A distinction is made between ontological and epistemological stratification. The application of the stratification approach to agent system design is explained and illustrated. A preliminary characterization of the relevant strata is given. The wider relevance of this result for information infrastructure design is addressed: ontological stratification will be key to the model management and semantic interoperability in a ubiquitous and model driven information infrastructure. Ontological Stratification in an Ecology of Infohabitants V Abramov J Goossenaerts P De Wilde L Correia doi:10.1007/0-387-23572-2_12 Knowledge and Skill Chains in Engineering and Manufacturing Information infrastructure in the Era of Global Communications (2005), pp. 101-109. 2008-05-12T13:52:40-00:00 2005 Knowledge and Skill Chains in Engineering and Manufacturing Information infrastructure in the Era of Global Communications 101 109 mas ontology simulation-models stratification http://www.citeulike.org/user/jago/article/1059421 <i>Journal of Evolutionary Economics, Vol. 17, No. 1. (February 2007), pp. 63-93.</i><br /><br />With the growth of the information economy, the proportion of knowledge-intensive goods to total goods is constantly increasing. Lessig (The future of ideas: the fate of the commons in a connected world. Vintage, New York 2001) has argued that IPRs have now become too favourable to existing producers and that their ‘winner-take-all’ characteristics are constraining the creators of tomorrow. In this paper we look at how variations in IPRs regimes might affect the creation and social cost of new knowledge in economic systems. Drawing on a conceptual framework, the Information Space or I-Space to explore how the uncontrollable diffusibility of knowledge relates to its degree of structure, we deploy an agent-based modelling approach to explore the issue of IPRs. We take the ability to control the diffusibility of knowledge as a proxy measure for an ability to establish property rights in such knowledge. Second, we take the rate of obsolescence of knowledge as a proxy measure for the degree of turbulence induced by different regimes of technical change. Then we simulate the quantity and cost to society of new knowledge under different property right regimes. Property rights and information flows: a simulation approach Boisot Max Macmillan Ian Han Kyeong doi:10.1007/s00191-006-0031-7 Journal of Evolutionary Economics, Vol. 17, No. 1. (February 2007), pp. 63-93. 2007-01-22T10:18:54-00:00 2007 Journal of Evolutionary Economics 0936-9937 17 1 63 93 Springer diffusion ipr knowledgeinstitutions simulation-models http://www.citeulike.org/user/jago/article/1339067 <i>Artificial Intelligence Review, Vol. 19, No. 1. (1 March 2003), pp. 3-92.</i><br /><br />This review discusses agent-based social simulation(ABSS) in relation tothe study of social dilemmas such as the Prisoner'sDilemma and Tragedy of the Commons. Its aims are to explore theplace of ABSS in relation to other research methods such asmathematical analysis, to familiariseartificial intelligence researchers (particularly those working onmulti-agent systems)with a body of relevant multidisciplinary work, and to suggest directionsfor future ABSS research on social dilemmas. Agent-Based Simulation in the Study of Social Dilemmas NM Gotts JG Polhill ANR Law doi:10.1023/A:1022120928602 Artificial Intelligence Review, Vol. 19, No. 1. (1 March 2003), pp. 3-92. 2007-05-28T18:11:05-00:00 2003 Artificial Intelligence Review 19 1 3 92 mas simulation-models http://www.citeulike.org/user/jago/article/2787326 <i>MANAGEMENT SCIENCE, Vol. 54, No. 5. (1 May 2008), pp. 998-1014.</i><br /><br />When is it better to use agent-based (AB) models, and when should differential equation (DE) models be used? Whereas DE models assume homogeneity and perfect mixing within compartments, AB models can capture heterogeneity across individuals and in the network of interactions among them. AB models relax aggregation assumptions, but entail computational and cognitive costs that may limit sensitivity analysis and model scope. Because resources are limited, the costs and benefits of such disaggregation should guide the choice of models for policy analysis. Using contagious disease as an example, we contrast the dynamics of a stochastic AB model with those of the analogous deterministic compartment DE model. We examine the impact of individual heterogeneity and different network topologies, including fully connected, random, Watts-Strogatz small world, scale-free, and lattice networks. Obviously, deterministic models yield a single trajectory for each parameter set, while stochastic models yield a distribution of outcomes. More interestingly, the DE and mean AB dynamics differ for several metrics relevant to public health, including diffusion speed, peak load on health services infrastructure, and total disease burden. The response of the models to policies can also differ even when their base case behavior is similar. In some conditions, however, these differences in means are small compared to variability caused by stochastic events, parameter uncertainty, and model boundary. We discuss implications for the choice among model types, focusing on policy design. The results apply beyond epidemiology: from innovation adoption to financial panics, many important social phenomena involve analogous processes of diffusion and social contagion. 10.1287/mnsc.1070.0787 Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models Hazhir Rahmandad John Sterman MANAGEMENT SCIENCE, Vol. 54, No. 5. (1 May 2008), pp. 998-1014. 2008-05-12T07:55:02-00:00 2008 MANAGEMENT SCIENCE 54 5 998 1014 diffusion modelling pathway researchmethods simulation-models step2 validity http://www.citeulike.org/user/jago/article/2733368 <i>Am J Public Health, Vol. 96, No. 3. (1 March 2006), pp. 452-458.</i><br /><br />The systems modeling methodology of system dynamics is well suited to address the dynamic complexity that characterizes many public health issues. The system dynamics approach involves the development of computer simulation models that portray processes of accumulation and feedback and that may be tested systematically to find effective policies for overcoming policy resistance. System dynamics modeling of chronic disease prevention should seek to incorporate all the basic elements of a modern ecological approach, including disease outcomes, health and risk behaviors, environmental factors, and health-related resources and delivery systems. System dynamics shows promise as a means of modeling multiple interacting diseases and risks, the interaction of delivery systems and diseased populations, and matters of national and state policy. 10.2105/AJPH.2005.062059 System Dynamics Modeling for Public Health: Background and Opportunities Jack Homer Gary Hirsch doi:10.2105/AJPH.2005.062059 Am J Public Health, Vol. 96, No. 3. (1 March 2006), pp. 452-458. 2008-04-29T10:06:35-00:00 2006 Am J Public Health 96 3 452 458 health-system multi-level prevention researchmethods simulation-models value-articulation http://www.citeulike.org/user/jago/article/2733349 <i>Management Science, Vol. 31, No. 7. (July 1985), pp. 900-916.</i><br /><br />An important task in the analysis of a behavioral simulation model is to explain clearly how the model's organizational assumptions lead to its simulated behavior. All too often, model- based arguments involve an uncomfortable "leap of logic" between equations and conse- quences. This paper proposes two methods of analysis, premise description and partial model testing, which provide stepping stones between model equations and their simulated conse- quences. Premise description examines the bounded rationality of policies or decision func- tions in the model, pointing out the process and cognitive limitations assumed in decisionmak- ing. Partial model tests expose the intended rationality of small combinations of policies, showing that policies produce "sensible" actions with respect to their premises. The applica- tion of those methods is illustrated with a simulation model of a sales organization in which sales-force productivity is prone to decline. The behavior of productivity is traced to dysfunc- tional interactions between objectives, overtime, and salesforce motivation. Rationality in the Analysis of Behavioral Simulation Models JDW Morecroft Management Science, Vol. 31, No. 7. (July 1985), pp. 900-916. 2008-04-29T09:58:55-00:00 1985 Management Science 31 7 900 916 INFORMS interventions simulation-models step1 step2 step7 http://www.citeulike.org/user/jago/article/2733327 <i>European Journal of Operational Research, Vol. 59, No. 1. (26 May 1992), pp. 9-27.</i><br /><br />Over the last decade modelling and simulation have come of age, extending their influence beyond the mind and desktop of the analyst into the boardroom and the mental models of managers. In the past, business computer models were thought of as technical tools for tightly structured problems of prediction, optimization, or financial planning. But increasingly models are seen to have a different and more subtle role as instruments to support strategic thinking, group discussion and learning in management teams. In this respect they are quite similar to qualitative problem structuring approaches used by strategy advisers and process consultants. In the paper, models are described in terms of three attributes that support different cognitive and group processes in management teams. Models can be viewed as maps that capture and activate knowledge. They can also be viewed as frameworks that filter and organize knowledge. Finally, they can be viewed as microworlds for experimentation, cooperation and learning. The paper explains how the modelling process fits into conventional management team meetings, and then contrasts the value chain methodology and system dynamics in order to illustrate the variety of group and cognitive support provided by different maps and frameworks. The final section provides a brief review of the companion articles in this special issue of the European Journal of Operational Research, [`]Modelling for learning'. Executive knowledge, models and learning John Morecroft doi:10.1016/0377-2217(92)90004-S European Journal of Operational Research, Vol. 59, No. 1. (26 May 1992), pp. 9-27. 2008-04-29T09:49:19-00:00 1992 European Journal of Operational Research 59 1 9 27 simulation-models step1 step2 value-articulation http://www.citeulike.org/user/jago/article/2717236 <i></i><br /><br />This paper presents an introductory overview and tutorial in simulation modeling and control of serial Kanban and CONWIP (CONstant Work In Progress) pull systems using ARENA/SIMAN 3.5/4.0. Card level estimation is discussed for both types of pull systems, and a heuristic method to adjust card levels controlling system WIP is provided. The objective is to present a tutorial for students and practicing engineers familiar with the basics of simulation, but unfamiliar with pull system fundamentals. Understanding the fundamentals of Kanban and CONWIP pull systems using simulation RP Marek DA Elkins DR Smith 2008-04-25T09:59:07-00:00 kanban simulation-models http://www.citeulike.org/user/jago/article/2717196 <i>International Journal of Production Economics, Vol. 54, No. 3. (18 May 1998), pp. 257-266.</i><br /><br />The CONWIP production control system has received a great deal of attention from researchers recently. In this paper, we introduce a method to determine the card number of the CONWIP system for a production line with a bottleneck. The simulation study compares the CONWIP system and the original control system for the four situations in a cold rolling plant. Simulation results show that the CONWIP production control system is very efficient for the production and inventory control of semi-continuous manufacturing, such as that found in the steel rolling plant. It can greatly reduce the work-in-process (WIP), decrease the average inventory and average inventory costs, and guarantee a higher throughput rate and facility utilization. Simulation study of CONWIP for a cold rolling plant Min Huang Dingwei Wang WH Ip doi:10.1016/S0925-5273(97)00152-7 International Journal of Production Economics, Vol. 54, No. 3. (18 May 1998), pp. 257-266. 2008-04-25T09:44:01-00:00 1998 International Journal of Production Economics 54 3 257 266 simulation-models http://www.citeulike.org/user/jago/article/2712948 <i>International Journal of Production Economics, Vol. 112, No. 2. (April 2008), pp. 570-586.</i><br /><br />This research focuses on the analysis of simulated impact of the radio frequency identification (RFID) system on the inventory replenishment of the thin film transistor liquid crystal display (TFT-LCD) supply chain in Taiwan. A global operations and logistics case of a well-known LCD monitor manufacturer in Taiwan has been studied. The pull-based multi-agents supply chain was accordingly modeled and simulated with AnyLogic. An automatic inventory replenishment function adopting the (s, S) policy is enabled with RFID or not. The result of the experiment shows that the RFID-enabled pull-based supply chain can be effectively achieved with a 6.19% decrease in the total inventory cost, and a 7.60% increase in the inventory turnover rate. The simulated impact of RFID-enabled supply chain on pull-based inventory replenishment in TFT-LCD industry Shu-Jen Wang Shih-Fei Liu Wei-Ling Wang doi:10.1016/j.ijpe.2007.05.002 International Journal of Production Economics, Vol. 112, No. 2. (April 2008), pp. 570-586. 2008-04-24T12:48:02-00:00 2008 International Journal of Production Economics 112 2 570 586 electronics ict modelling rfid simulation-models supply-chain value-articulation http://www.citeulike.org/user/jago/article/2702174 <i>(2000)</i><br /><br />A comprehensive and state-of-the-art treatment of all the important aspects of a simulation study, including modeling, simulation software, model verification and validation, input modeling, random-number generators, generating random variates and processes, statistical design and analysis of simulation experiments, and to highlight major application areas such as manufacturing. The book strives to motivate intuition about simulation and modeling, as well as to present them in a technically correct yet clear manner. Simulation Modeling and Analysis Averill Law David Kelton (2000) 2008-04-22T13:50:29-00:00 2000 McGraw-Hill Higher Education researchmethods simulation-models http://www.citeulike.org/user/jago/article/2692307 <i>Conceptual Modeling for New Information Systems Technologies (2002), pp. 115-126.</i><br /><br />This paper presents motion simulation/evaluation system for factory workers in the framework of “Info-Ergonomics.” One of the key technologies is CG simulation based on the precise human body mockup called “Bone-Based Human Model.” Using BBHM, “real” motions of workers can be mapped for precise simulation. Another important issue is data and knowledge integration. For the purpose of schematizing such data and providing retrieval functions are discuss in an extended database system, “Real World Database.” Human-Body Motion Simulation Using Bone-Based Human Model and Construction of Motion Database Hiroshi Arisawa Takako Sato Takashi Tomii doi:10.1007/3-540-46140-X_10 Conceptual Modeling for New Information Systems Technologies (2002), pp. 115-126. 2008-04-20T07:10:08-00:00 2002 Conceptual Modeling for New Information Systems Technologies 115 126 architecture modelling simulation-models software-engineering http://www.citeulike.org/user/jago/article/2681954 <i>Advances in Production Management Systems (2007), pp. 305-312.</i><br /><br />A formal modeling technique, based on colored timed Petri net and UML static structure modeling languages is used to teach students to model their business process problem as a discrete event system, before they build a working simulation model in a simulation tool (in our case Arena). Combining Petri net and UML static structure diagrams, one can build an abstract, well defined and complete model. This model enables the simulation analyst to make an unambiguous, complete and yet easily readable model of the target operational process. The two most important classes of decisions that are reflected in the conceptual model are the choice of the real world details to be taken in or left out the model and the precise specification of the output parameters of the simulation. This paper describes the modeling technique and discusses its value in teaching and in the formulation of decision problems regarding operational processes. A Conceptual Modeling Technique for Discrete Event Simulation of Operational Processes Henk Pels Jan Goossenaerts doi:10.1007/978-0-387-74157-4_36 Advances in Production Management Systems (2007), pp. 305-312. 2008-04-17T13:21:27-00:00 2007 Advances in Production Management Systems 305 312 simulation-models