Kenneth D. Walsh, Tobi A. Walsh, J. Hershauer, I. Tommelein, Anil Sawhney
{"title":"Lead time reduction via pre-positioning of inventory in an industrial construction supply chain","authors":"Kenneth D. Walsh, Tobi A. Walsh, J. Hershauer, I. Tommelein, Anil Sawhney","doi":"10.1109/WSC.2002.1166459","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166459","url":null,"abstract":"Lead time reduction is a key concern of many industrial buyers of capital facilities given current economic conditions. Supply chain initiatives in manufacturing settings have led owners to expect that dramatic reductions in lead time are possible in all phases of their business, including the delivery of capital materials. Further, narrowing product delivery windows and increasing pressure to be first-to-market create significant external pressure to reduce lead time. In this paper, a case study is presented in which an owner entered the construction supply chain to procure and position key long-lead materials. The materials were held at a position in the supply chain selected to allow some flexibility for continued customization, but dramatic reduction in the time-to-site. Simulation was used as a tool to consider time-to-site tradeoffs for multiple inventory locations so as to better match the needs of the construction effort.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"28 1","pages":"1737-1744 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78009470","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":"On standardized network topologies for network research","authors":"G. Riley","doi":"10.1109/WSC.2002.1172945","DOIUrl":"https://doi.org/10.1109/WSC.2002.1172945","url":null,"abstract":"Simulation has become the evaluation method of choice for many areas of computer networking research. When designing new or revised transport protocols, queuing methods, routing protocols, (just to name a few), a common approach is to create a simulation of a small to moderate scale topology and measure the performance of the new methodology as compared to existing methods. We demonstrate that simulation results using this approach can lead to very misleading, and even incorrect, results. The interaction between the large number of variables in these simulations can lead to results that vary widely from between different simulation topologies. We give empirical evidence showing different conclusions when the same comparisons are done using differing topologies. We argue the need for a standardized taxonomy of simulation topologies that capture a significant and realistic range of values for the various variables that impact the performance of a simulated network.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"43 1","pages":"664-670 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/WSC.2002.1172945","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72532943","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 statistical process control approach for estimating the warm-up period","authors":"E. Yucesan, C.-H. Chen, J. Snowdon, J. Charnes","doi":"10.1109/WSC.2002.1172915","DOIUrl":"https://doi.org/10.1109/WSC.2002.1172915","url":null,"abstract":"One means for dealing with initialization bias in simulation experiments is to implement a warm-up period. This requires the correct estimation of the initial transient. A new method for determining the warm-up period, based upon the principles of statistical process control (SPC), is described. The method is tested on empirical data from a simulation model that has been used in a real-life study. In comparing the results to those from two commonly used warm-up methods, it appears that the SPC method performs well. The strengths and weaknesses of the approach are discussed.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"40 1","pages":"439-446 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80152374","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}
{"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 of restaurant operations using the Restaurant Modeling Studio","authors":"D. Brann, B. Kulick","doi":"10.1109/WSC.2002.1166417","DOIUrl":"https://doi.org/10.1109/WSC.2002.1166417","url":null,"abstract":"The operation of quick service restaurants (QSR) is a highly engineered process, with many factors coming into play: physical layout, equipment availability, and worker staffing levels, positioning, and priorities. The Restaurant Modeling Studio (RMS) provides an analysis platform for investigating the impacts of these factors on critical performance metrics, especially speed of service and service capacity. The key components of the RMS are a simulation engine built in Arena, and two custom applications built on Microsoft Visio - the Kitchen and Process Designers. The simulation engine supports a large number of behaviors, including parallel operations, inventory replenishment, prioritized task selection and many more. The Kitchen Designer and Process Designer provide the user with powerful tools for specifying the physical layout and order fulfillment processes. This paper presents the components of the RMS and its use in an analysis kitchen design comparison and labor deployment standards.","PeriodicalId":74535,"journal":{"name":"Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference","volume":"33 1","pages":"1448-1453 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77670737","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}