{"title":"A simulation approach to evaluate the impact of introducing RFID technologies in a three-level supply chain","authors":"Aysegul Sarac, Nabil Absi, S. Dauzére-Pérés","doi":"10.1109/WSC.2008.4736392","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736392","url":null,"abstract":"The aim of this paper is to analyze the impacts of RFID technologies on supply chain performances, in particular to evaluate their economical impacts and to conduct ROI (return-on-investment) analyses. We simulate a three-level supply chain in which thefts, misplacements and unavailable items for sale cause inventory inaccuracies that decrease the supply chain performance. We compare the effects of different RFID technologies and with different tagging levels for different product types. The main originality of our research is that we are considering that there are various possible RFID systems of different costs and potential profits. The results indicate that different technologies can improve the supply chain performance at different ratios. The economical impacts depend on the chosen technology, the tagging level and the product. Our analyses thus show that the ROI of RFID applications strongly depends on the settings.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121455991","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":"Analytical simulation modeling","authors":"L. Schruben","doi":"10.1109/WSC.2008.4736061","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736061","url":null,"abstract":"Simulation modeling methodology research and simulation analysis methodology research have evolved into two nearly separate fields. In this paper, ways are shown how simulation might benefit from modeling and analysis becoming more closely integrated. The thesis of this paper is that simulation analysis and simulation modeling methodologies, considered together, will result in important advancements in both. Some examples demonstrate how dramatically more efficient discrete event simulation models can be designed for specific analytical purposes, which in turn enable more powerful analytical procedures that can exploit the special structures of these models. A series of increasingly difficult analytical problems, and models designed to solve them, are considered: starting with simple performance estimation, and progressing to dynamic multiple moment response surface meta-modeling.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130780551","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":"Some topics for simulation optimization","authors":"M. Fu, Chun-Hung Chen, Leyuan Shi","doi":"10.1109/WSC.2008.4736053","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736053","url":null,"abstract":"We give a tutorial introduction to simulation optimization. We begin by classifying the problem setting according to the decision variables and constraints, putting the setting in the simulation context, and then summarize the main approaches to simulation optimization. We then discuss three topics in more depth: optimal computing budget allocation, stochastic gradient estimation, and the nested partitions method. We conclude by briefly discussing some related research and currently available simulation optimization software.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"160 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132846317","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-based verification of lean improvement for emergency room process","authors":"Nancy Khurma, G. M. Bacioiu, Zbigniew J. Pasek","doi":"10.1109/WSC.2008.4736229","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736229","url":null,"abstract":"One of the key challenges to health care access in Canadian hospitals is growing overcrowding of the Emergency Departments (EDs), leading to the medical personnel overload, and the excessive waiting times to receive proper care. These adverse effects directly impact the patient satisfaction levels, the ability of the medical professionals to attend promptly to patients¿ health issues, and generate unnecessary costs. Addressing the sources of waste and improving the process provides better care and higher patient satisfaction, as well as increases operational efficiency and the ability of the medical professionals to intervene on time. This paper describes an effort aimed at improvement of patients¿ experience over their ED stay. A combination of lean tools were used to analyze, assess and improve the current situation. Simulation models based on current and future (desired) states were developed. Comparative analysis of both enabled verification of feasibility of proposed solutions, and provided quantifiable results.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132704565","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":"Proposed methodology for a data-driven simulation for estimating performance measures along signalized arterials in real-time","authors":"Dwayne Henclewood, M. Hunter, R. Fujimoto","doi":"10.1109/WSC.2008.4736395","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736395","url":null,"abstract":"Congestion is one of the major issues facing today¿s transportation sector. Recent efforts have been geared toward providing traffic information to travelers, to facilitate better travel decisions, and transportation facility managers, to allow them to better manage traffic operations. Currently, real-time traffic information is primarily limited to freeways and a small subset of major arterials. This research effort explores the feasibility of an online data-driven simulation based methodology to address the lack of real-time arterial performance measures. The core of this methodology is the development of an online simulation tool that relies on commonly available arterial point sensor data, such as that from loop detectors or video cameras. Preliminary analysis indicates that the approach being considered is feasible as a model of the \"real-world\" was capable of reflecting performance measures with relatively high levels of accuracy. Limitations of the current research design and more immediate future directions are also presented.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131667482","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 new method for bottleneck detection","authors":"S. Sengupta, K. Das, R. Til","doi":"10.1109/WSC.2008.4736261","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736261","url":null,"abstract":"This paper presents a new method to identify and rank the bottlenecks in a manufacturing system. The proposed method is based on performance related data that are easy to capture, offers low computational burden and less prone to be in error due to its simplicity. The proposed method analyzes inter-departure time from different machines to identify and rank the bottlenecks. In a follow-up paper the authors plan to present a method to allocate loss of production to different machines based on analysis of inter-departure time. This paper also proposes a set of rules that may be used to improve data integrity. The proposed method may be used to analyze both steady state as well as non-steady state data and can be extended easily to analysis of a job shop.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115665957","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":"Connecting the top-down to the bottom-up: Pricing CDO under a Conditional Survival (CS) model","authors":"X. Peng, S. Kou","doi":"10.1109/WSC.2008.4736116","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736116","url":null,"abstract":"In this paper, we use exact simulation to price CDO under a new dynamic model, the conditional survival (CS) model, which provided excellent calibration to both iTraxx tranches and underlying single nameCDS spreads onMarch 14, 2008, the day before the collapse of Bear Sterns, when the market was highly volatile. The distinct features of the CS model include: (1) it is able to generate clustering of defaults occurring dynamically in time and strong cross-sectional correlation, i.e., the simultaneous defaults of many names, both of which have been evidenced in the current subprime mortgage crisis; (2) it incorporates idiosyncratic default risk of single names but does not specify concrete models for them; (3) it provides automatic calibration to underlying single name CDS; (4) it allows fast CDO tranche pricing and calculation of sensitivity of CDO tranches to underlying single name CDS.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114368316","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 passenger screening for pandemic influenza at U.S. airport ports of entry","authors":"R. Brigantic, George A. Muller","doi":"10.1109/WSC.2008.4736415","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736415","url":null,"abstract":"We present a stochastic discrete event simulation that was developed to model the screening of international airline passengers arriving at U.S. airport ports of entry for pandemic influenza. The simulation begins with the generation of international aircraft arrival patterns to the United States. Based on assumed prevalence rates in their origin countries, passengers are randomly assigned to one of three infected states in the simulation - not infected, infected with pandemic influenza, infected with other respiratory illness. Passengers then pass through various screening layers and ultimately exit the system. We track the declared outcome of each passenger over time as they exit the screening process, with a special emphasis on false negatives as they pose the most significant threat to our nation as they will exit the system and unknowingly further spread the pandemic virus throughout the United States. Extensions to DoD environment will also be discussed.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114776350","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":"Comparing two systems: Beyond common random numbers","authors":"Samuel Ehrlichman, S. Henderson","doi":"10.1109/WSC.2008.4736074","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736074","url":null,"abstract":"Suppose one wishes to compare two closely related systems via stochastic simulation. Common random numbers (CRN) involves using the same streams of uniform random variates as inputs for both systems to sharpen the comparison. One can view CRN as a particular choice of copula that gives the joint distribution of the inputs of both systems. We discuss the possibility of using more general copulae, including simple examples that show how this can outperform CRN.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114976389","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":"Application of spatial visualization for probabilistic hurricanes risk assessment to build environment","authors":"Yue Li, T. Erickson","doi":"10.1109/WSC.2008.4736204","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736204","url":null,"abstract":"Hurricanes have caused extensive economic losses and social disruption in the past two decades in the United States. A key component for improving building and infrastructure practices and public planning to reduce the economic losses due to hurricanes and their social impact is the ability to predict the expected damage that such events cause in buildings and other structures as well as the uncertainties in such predictions. Federal, state and county emergency management officers need an effective real-time tool to facilitate the decision regarding when evacuate should begin and who should evacuate before a hurricane, as long as how to timely conduct post-disaster relief. Modern Internet-based geospatial tools can be effectively used to provide decision makers with real-time data, model results, and geospatial reference datasets. Probabilistic risk assessment model combined with spatial distributed visualization is proposed in this paper for more efficient hurricane hazard mitigation through risk informed communication.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116252063","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}