{"title":"Evaluation of army corps artillery ammunition supply systems via simulation","authors":"I. Sabuncuoglu, Durdu Hakan Utku","doi":"10.1109/WSC.2002.1172980","DOIUrl":"https://doi.org/10.1109/WSC.2002.1172980","url":null,"abstract":"The purpose of this paper is to discuss the evaluation of different alternatives for the implementation of Turkish army corps artillery ammunition supply system. The objective is to see whether the alternative systems operate properly and to select the best system design. We find that the first alternative system cannot supply the units for all phases of an eight-day battle time while the second, the third, and the fourth systems can supply and yield better results. The third system is less costly than the second and the fourth systems. However, it has the drawback of too many vehicles in the convoy (i.e. congestion) which makes it susceptible to the enemy long distance and air assaults. The fourth system is the best of all from the point of the performance it yields; but, it costs more compared to the other systems.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"236 1","pages":"917-920 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76840078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Sousa-Vieira, A. Suárez-González, C. López-García, M. Fernández-Veiga, J. López-Ardao
{"title":"A highly efficient M/G//spl infin/ model for generating self-similar traces","authors":"M. Sousa-Vieira, A. Suárez-González, C. López-García, M. Fernández-Veiga, J. López-Ardao","doi":"10.1109/WSC.2002.1166502","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166502","url":null,"abstract":"Several traffic measurement reports have convincingly shown the presence of self-similarity in modern networks, inducing as a result a revolution in the stochastic modeling of traffic. The use of self-similar processes in performance analysis has opened new problems and research issues in simulation studies, where the efficient generation of synthetic sample paths with self-similar properties is one of the fundamental concerns. We present an M/G//spl infin/ generator of self-similar traces, based on a highly efficient simulation model using the decomposition property of Poisson processes.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"1 1","pages":"2003-2010 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82980102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. P. White, Ryan Fritz, Stephen Horvath, Carlos Orellana, J. Wohlers, R. Fairbrother, William S Terry
{"title":"Architectural concepts for a system simulator for concurrent prototyping of equipment and controls","authors":"K. P. White, Ryan Fritz, Stephen Horvath, Carlos Orellana, J. Wohlers, R. Fairbrother, William S Terry","doi":"10.1109/WSC.2002.1166365","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166365","url":null,"abstract":"AutoMod/sup /spl reg// is a leading discrete-event simulation package widely applied in the modeling and analysis of distribution systems. Included in the AutoMod software suite is the Model Communications Module (MCM), which allows an executing simulation to open socket connections and to send and receive messages via TCP/IP network protocol. In this paper we report on a pilot study which explores the functionality of the MCM. In particular, we develop and implement an architecture that can be used to design, test, verify, and optimize control system software interacting with a discrete-event simulation of the system to be controlled. This architecture supports concurrent engineering of controls and hardware prototypes. Application of this architecture can significantly reduce the duration and cost of development cycles for new equipment and systems. In addition, this architecture can be applied to investigate the feasibility of implementing engineering changes in systems currently deployed.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"3 1","pages":"1117-1122 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80096244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Joines, Deepak Gupta, Ali Mahmut, Russell E Gokce, Michael G King, Kay
{"title":"Supply chain multi-objective simulation optimization","authors":"J. Joines, Deepak Gupta, Ali Mahmut, Russell E Gokce, Michael G King, Kay","doi":"10.1109/WSC.2002.1166395","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166395","url":null,"abstract":"A critical decision companies are faced with on a regular basis is the ordering of products and/or raw materials. Poor decisions can lead to excess inventories that are costly or to insufficient inventory that cannot meet its customer demands. These decisions may be as simple as \"how much to order\" or \"how often to order\" to more complex decision forecasting models. This paper addresses optimizing these sourcing decisions within a supply chain to determine robust solutions. Utilizing an existing supply chain simulator, an optimization methodology that employs genetic algorithms is developed to optimize system parameters. The performance measure that is optimized plays a very important role in the quality of the results. The deficiencies in using traditionally used performance measures in optimization are discussed and a new multi-objective GA methodology is developed to overcome these limitations.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"57 1","pages":"1306-1314 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78636909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"COST: a component-oriented discrete event simulator","authors":"Gilbert Chen, B. Szymanski","doi":"10.1109/WSC.2002.1172960","DOIUrl":"https://doi.org/10.1109/WSC.2002.1172960","url":null,"abstract":"COST (Component-Oriented Simulation Toolkit) is a general-purpose discrete event simulator. The main design purpose of COST is to maximize the reusability of simulation models without losing efficiency. To achieve this goal, COST adopts a component-based simulation worldview based on a component-port model. A simulation is built by configuring and connecting a number of components, either off-the-shelf or fully customized. Components interact with each other only via input and output ports, thus the development of a component becomes completely independent of others. The component-port model of COST makes it easy to construct simulation components from scratch. Implemented in C++, COST also features a wide use of templates to facilitate language-level reuse.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"160 1","pages":"776-782 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76194286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Portfolio optimization for capital investment projects","authors":"Jay April, Fred Glover, James P. Kelly","doi":"10.1109/WSC.2002.1166431","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166431","url":null,"abstract":"The new portfolio optimization engine, OptFolio/spl trade/, Simultaneously addresses financial return goals, catastrophic loss avoidance, and performance probability. The innovations embedded in OptFolio enable users to confidently design effective plans for achieving financial goals, employing accurate analysis based on real data. Traditional analysis and prediction methods are based on mean variance analysis - an approach known to be faulty. OptFolio takes a much more sophisticated and strategic direction. State-of-the-art technology integrates optimization and simulation techniques and a new surface methodology based on linear programming into a global system that guides a series of evaluations to reveal truly optimal investment scenarios. OptFolio is currently being used to optimize project portfolio performance in oil and gas applications and in capital allocation and budgeting for investments in technology.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"72 1","pages":"1546-1554 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86325043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chanettre Rasmidatta, Shari Murray, J. Fowler, G. Mackulak
{"title":"New approaches for simulation of wafer fabrication: the use of control variates and calibration metrics","authors":"Chanettre Rasmidatta, Shari Murray, J. Fowler, G. Mackulak","doi":"10.1109/WSC.2002.1166412","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166412","url":null,"abstract":"Simulation-based wafer fabrication optimization models require extensive computational time to obtain accurate estimates of output parameters. This research seeks to develop goal-driven optimization methodologies for a variety of semiconductor manufacturing problems using appropriate combinations of \"resource-driven\" (R-D), \"job-driven\" (J-D), and mixed (combination of R-D and J-D) models to reduce simulation run times. The initial phase of this research investigates two issues: (a) the use of the R-D simulation control variates for the J-D simulation and (b) development of metrics that calibrate the output from the R-D and J-D modeling paradigms. The use of the R-D model as a control variate is proposed to reduce the variance of J-D model output. Second, in order to use the R-D model output to predict the J-D model output, calibration metrics for the R-D and J-D modeling approaches were developed. Initial developments were tested using an M/M/1 queuing system and an M/D/1 queuing system.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"28 1","pages":"1414-1422 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83442184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AI-based optimization for fleet management in maritime logistics","authors":"A. Bruzzone, A. Orsoni, R. Mosca, R. Revetria","doi":"10.1109/WSC.2002.1166375","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166375","url":null,"abstract":"This paper outlines the features of an automated decision support system (DSS) developed to optimize the logistics of maritime transportation for a large chemical company. The paper focuses on the design and implementation of an optimization module to complement a DSS architecture including dynamic databases, decision heuristics, and dynamic process simulation, for the systematic generation of cost-effective fleet configurations capable of meeting the company's production requirements.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"17 1","pages":"1174-1182 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83444685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulating reality using AutoMod","authors":"M. Rohrer, I. McGregor","doi":"10.1109/WSC.2002.1172881","DOIUrl":"https://doi.org/10.1109/WSC.2002.1172881","url":null,"abstract":"Decision making in industry has become more complicated in recent years. Customers are more demanding, competition is more fierce, and costs for labor and raw materials continue to rise. Managers need state-of-the-art tools to help in planning, design, and operations of their facilities. Simulation provides a virtual factory where ideas can be tested and performance improved. The AutoMod product suite from Brooks-PRI Automation has been used on thousands of projects to help engineers and managers make the best decisions possible. With the release of AutoMod 11.0 in 2002, AutoMod now supports hierarchical model construction. This new architecture allows users to reuse model objects in other models, decreasing the time required to build a model. Composite models are just one of the latest advances that make AutoMod one of the most widely used simulation software packages.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"50 1","pages":"173-181 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87425805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Azadivar, T. Truong, K. Stokesbury, B. Rothschild
{"title":"Simulation based optimization in fishery management","authors":"F. Azadivar, T. Truong, K. Stokesbury, B. Rothschild","doi":"10.1109/WSC.2002.1172926","DOIUrl":"https://doi.org/10.1109/WSC.2002.1172926","url":null,"abstract":"The sea scallop resource of Georges Bank supports one of the largest commercial fisheries in the United States. The objective of this research was to develop a technique to examine different management strategies for the sea scallop resource of Georges Bank and compare these strategies to the optimal. A simulation model followed the sea scallop population dynamics using information from recent photographic surveys and studies on spatial and temporal life history parameters, such as growth, natural mortality, spawning, and fishing activities. A stochastic simulation technique was used to describe the influence of the highly variable marine environment. A genetic algorithm technique was used to develop a harvest strategy in the area for optimal utilization by maximizing long term fishing yield. Simulation and a genetic algorithm are combined to solve the optimization problem. Simulation returns performance measures for a given policy and a genetic algorithm provides the search process to obtain the optimum policy.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"42 1","pages":"525-531 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90621222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}