J. Potoradi, Ong Siong Boon, S. Mason, J. Fowler, M. Pfund
{"title":"Using simulation-based scheduling to maximize demand fulfillment in a semiconductor assembly facility","authors":"J. Potoradi, Ong Siong Boon, S. Mason, J. Fowler, M. Pfund","doi":"10.1109/WSC.2002.1166479","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166479","url":null,"abstract":"We describe how a large number of products are scheduled to run in parallel on a pool of wire-bond machines to meet weekly demand. We seek to maximize demand fulfillment subject to system constraints. The schedule is generated by a simulation engine and used to control the machines at execution time and also to plan for the start of material. By using online data for equipment status and WIP availability, the schedule adapts to \"unforeseen\" changes on the shop floor after a simulation run. The frequently updated schedule redirects the line towards maximum demand fulfillment based on the latest status of the line.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"3 1","pages":"1857-1861 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88918346","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":"A comparison of output-analysis methods for simulations of processes with multiple regeneration sequences","authors":"J. Calvin, Marvin K. Nakayama","doi":"10.1109/WSC.2002.1172902","DOIUrl":"https://doi.org/10.1109/WSC.2002.1172902","url":null,"abstract":"We compare several simulation estimators for a performance measure of a process having multiple regeneration sequences. We examine the setting of two regeneration sequences. We compare two existing estimators, the permuted estimator and the semi-regenerative estimator, and two new estimators, a type of U-statistic estimator and a type of V-statistic estimator. The last two estimators are obtained by resampling trajectories without and with replacement, respectively. The permuted estimator and the U-statistic estimator turn out to be equivalent, but the others are in general different. We show that when estimating the second moment of a cumulative cycle reward, the semi-regenerative and V-statistic estimators have non-negative bias, with the semi-regenerative bias being larger. The permuted estimator was previously shown to be unbiased. Although some of the estimators have different small-sample properties, they all satisfy central limit theorems with the same asymptotic variance constant.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"12 1","pages":"328-335 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81340165","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":"Modeling growth stocks (part II)","authors":"S. Kou","doi":"10.1109/WSC.2002.1166428","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166428","url":null,"abstract":"Continuing the previous work on growth stocks, we propose a diffusion model for growth stocks. Since growth stocks tend to have low or even negative earnings and high volatility, it is a great challenge to derive a meaningful mathematical model within the traditional valuation framework. The diffusion model not only has economic interpretations for its parameters, but also leads to some interesting economic insight - the model postulates mean reversion (with a high mean reverting level) for growth stocks, which could be useful in understanding the recent boom and bust of the \"Internet bubble\". Simulation and an empirical evaluation of the model based on the size distribution are also presented. The simulation and numerical results are quite encouraging.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"60 1","pages":"1524-1529 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83924220","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":"Fast cell level ATM network simulation","authors":"Xiao Zhonge, John G. Cleary","doi":"10.1109/WSC.2002.1172951","DOIUrl":"https://doi.org/10.1109/WSC.2002.1172951","url":null,"abstract":"This paper presents performance results for cell level ATM network simulations using both sequential and parallel discrete event simulation kernels. Five benchmarks are used to demonstrate the performance of the simulation kernels for different types of model. The results demonstrate that for the type of network models used in the benchmarks, the TasKit simulation kernel is able to outperform all of the other kernels tested both sequentially and in parallel. For one benchmark TasKit is shown to outperform a conventional sequential simulation kernel by a factor of 3. For the same benchmark TasKit is shown to outperform the best of the other parallel kernels tested by a factor of 6. The paper explains how this performance advantage is achieved and cautions that additional research into automatic model partitioning will be essential to make this technology accessible to the general simulation community.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"39 11 1","pages":"712-719 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85638565","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":"Design, development and application of an object oriented simulation toolkit for real-time semiconductor manufacturing scheduling","authors":"C. Chong, A. I. Sivakumar, R. Gay","doi":"10.1109/WSC.2002.1166478","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166478","url":null,"abstract":"Real-time scheduling of semiconductor manufacturing operations, semiconductor test operations in particular, is complicated due to the following factors; multi-head resources, multi-level hardware dependency, temperature and hardware criteria, dynamic determination of processing time and indexing time, batch processing and re-entrant flow. A first-of-its-kind, object oriented (OO), discrete event simulation (DES) toolkit, RTMSim++ for real-time simulation-based scheduling applications has been conceptualized, designed, developed to resolve real-time scheduling problems in manufacturing. This paper reviews the work done in the development of RTMSim++ toolkit, and a case study in a real-time scheduling application. The salient features of the toolkit includes flexibility to customize and extend its functionality, real time shop floor status data initialization, and capability for modeling complex resource and process relationships. In the case study, RTMSim++ has been customized to incorporate very company specific heuristic rules, with the objectives of improving delivery performance, equipment utilization and cycle time.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"51 1","pages":"1849-1856 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84593022","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":"Simulation in financial engineering","authors":"Jeremy Staum","doi":"10.1109/WSC.2002.1166423","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166423","url":null,"abstract":"This paper presents an overview of the use of simulation algorithms in the field of financial engineering, assuming on the part of the reader no familiarity with finance and a modest familiarity with simulation methodology, but not its specialist research literature. The focus is on the challenges specific to financial simulations and the approaches that researchers have developed to handle them, although the paper does not constitute a comprehensive survey of the research literature. It offers to simulation researchers, professionals, and students an introduction to an application of increasing significance both within the simulation research community and among financial engineering practitioners.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"5 1","pages":"1481-1492 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85270637","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. Banks, S. Buckley, Sanjay Jain, P. Lendermann, M. Manivannan
{"title":"Panel session: opportunities for simulation in supply chain management","authors":"J. Banks, S. Buckley, Sanjay Jain, P. Lendermann, M. Manivannan","doi":"10.1109/WSC.2002.1166447","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166447","url":null,"abstract":"It has become a matter of survival that many companies improve their supply chain efficiency. This presents an opportunity for simulation. However, there are many challenges that must be overcome for simulation to be a contributor to play an effective role. Four contributors discuss the opportunities that they see for simulation to play a meaningful role in the area of supply chain management.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"108 1","pages":"1652-1658 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73437231","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":"Component based simulation modeling with Simkit","authors":"A. Buss","doi":"10.1109/WSC.2002.1172891","DOIUrl":"https://doi.org/10.1109/WSC.2002.1172891","url":null,"abstract":"This paper demonstrates how to use Simkit to create discrete event simulation models using a component framework. The component framework is based on a listener design pattern especially useful for simulation models. The objects created are called Listener Event Graph Objects, so the component framework is called LEGO. Simkit is an open source package written in Java.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"16 1","pages":"243-249 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73519285","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}
E. Yücesan, C.-H. Chen, J. Snowdon, J. Charnes, Eds
{"title":"Credit risk modeling for catastrophic events","authors":"E. Yücesan, C.-H. Chen, J. Snowdon, J. Charnes, Eds","doi":"10.1109/WSC.2002.1166426","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166426","url":null,"abstract":"Estimating default probabilities of companies is one of the fundamental tasks in credit risk models and lending decision-making. One area of particular interest is how the companies' asset value behaves in the presence of unforeseen external shocks or catastrophes. On one hand, we want the default probabilities to address the likelihood of catastrophes correctly, and on the other hand, we want to be able to perform what-if analysis to investigate the possible consequences of catastrophes. This study proposes a framework to perform such what-if analysis in the jump diffusion framework.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"71 1","pages":"1511-1514 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81448782","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":"Simulation of JIT performance in a printing shop","authors":"Ben M. Patterson, M. Özbayrak, T. Papadopoulou","doi":"10.1109/WSC.2002.1166490","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166490","url":null,"abstract":"A medium sized UK based academic publisher own a subsidiary printing business. Presently, Academic Printers (AP) is experiencing production line flow problems reducing the efficiency of the operation. Most of the problems are generated by the imbalanced workflow through the system. By implementing a JIT production planning system it is hoped that some of the production problems can be resolved. Using the simulation software a model was created to investigate the performance of the AP under a variety of operating conditions. Results showed that operating the system with JIT control would not produce economic performance improvements due to constraints applied by the printing process.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"24 1","pages":"1914-1921 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72833370","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}