{"title":"An exploration of the effects of maintenance manning on Combat Mission Readiness utilizing agent based modeling","authors":"Adam MacKenzie, J.O. Miller, R. Hill","doi":"10.1109/wsc.2010.5679053","DOIUrl":"https://doi.org/10.1109/wsc.2010.5679053","url":null,"abstract":"Agent based models are powerful tools in describing processes and systems centered on individual behaviors and local interactions. Current application areas tend to be focused within the business and social science arenas, although their usefulness has been demonstrated in the modeling of various chemistry and physics-based systems and more recently, in unit-level military combat operations. Conversely, many highly process-oriented systems, such as manufacturing environments, tend to be modeled via “top-down” methods, including discrete or continuous event simulations. As a result, potentially critical attributes of the modeled entities or resources (spatial properties or adaptability) may not be adequately captured or developed. This research develops an agent based model for application to a problem heretofore addressed solely via discrete event simulation or stochastic mathematical models. Specifically, a model is constructed to investigate the effects of differing levels of maintenance manning on sortie production capability, while examining those effects on the resulting Combat Mission Readiness (CMR) of a typical F-16 squadron.","PeriodicalId":272260,"journal":{"name":"Proceedings of the 2010 Winter Simulation Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125385729","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":"Project management simulation with PTB Project Team Builder","authors":"A. Shtub","doi":"10.1109/wsc.2010.5679160","DOIUrl":"https://doi.org/10.1109/wsc.2010.5679160","url":null,"abstract":"This paper presents a new tool for the teaching professional and students of Project Management—a tool that can easily integrate traditional teaching based on any course or textbook available in the market. The Project Team Builder software tool combines an interactive, dynamic case study and a simple yet effective Project Management System. The Project Team Builder (PTB) won the Project Management Institute (PMI) 2008 Professional Development Product of the Year Award. It is designed to support teaching of project management at the graduate and undergraduate level as well as for training professionals. PTB is the basis of a new book published by Springer “Project Management Simulation with PTB Project Team Builder”. The FTB provides an environment for hand-on experience in project scheduling, resource and budget planning, risk management and project control.","PeriodicalId":272260,"journal":{"name":"Proceedings of the 2010 Winter Simulation Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123452353","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":"Lessons learned from utilizing discrete-event simulation modeling for quantifying construction emissions in pre-planning phase","authors":"C. Ahn, Wenjia Pan, SangHyun Lee, F. Peña-Mora","doi":"10.1109/WSC.2010.5679009","DOIUrl":"https://doi.org/10.1109/WSC.2010.5679009","url":null,"abstract":"Construction operations have a tremendous impact upon both the environment and public health due to the generation of significant amounts of airborne emissions, including greenhouse gases and other traditional criteria air pollutants. Quantifying emissions in the pre-planning phase of construction operations is the first step in identifying mitigation opportunities. The authors therefore have quantified construction emissions produced by various types of construction operations through the use of discrete-event simulation (DES). The paper focuses upon the utilization of DES in various case studies and delineates the lessons learned. An overview of each case project is provided, the benefits and limitations of DES are identified, and means to mitigate these limitations are discussed. The lessons learned from the case studies utilized in the paper are helpful; simulation practitioners and researchers can exploit these studies in simulation models that examine the environmental aspects of construction operations.","PeriodicalId":272260,"journal":{"name":"Proceedings of the 2010 Winter Simulation Conference","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116682389","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":"Maintaining a distributed symbiotic relationship using delegate MultiAgent systems","authors":"Rutger Claes, T. Holvoet","doi":"10.1109/WSC.2010.5678992","DOIUrl":"https://doi.org/10.1109/WSC.2010.5678992","url":null,"abstract":"Online simulation of traffic can assist route guidance systems by predicting problems such as congestion. Accurate predictions require accurate status information about vehicles - the fact that the vehicles are distributed over large-scale road infrastructure makes this particularly challenging. Embedding the online simulation in the road infrastructure - by distributing it across road side computing infrastructure - is a partial solution, but also adds additional complexity to the symbiotic relationship between online simulation and the physical system. In this paper we describe an approach that uses delegate MultiAgent Systems to reduce the complexity of such symbiotic relationships. Experimental results in a prototype implementation of the route guidance mechanisms show that the approach is feasible and leads to a proactive route guidance mechanisms with the potential of outperforming current state of the practice non-proactive routing mechanisms.","PeriodicalId":272260,"journal":{"name":"Proceedings of the 2010 Winter Simulation Conference","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117245382","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}
S. Andradóttir, Wenchi Chiu, D. Goldsman, M. Lee, K. Tsui, D. Fisman, B. Sander, A. Nizam
{"title":"Simulation of strategies for containing pandemic influenza","authors":"S. Andradóttir, Wenchi Chiu, D. Goldsman, M. Lee, K. Tsui, D. Fisman, B. Sander, A. Nizam","doi":"10.1109/WSC.2010.5678920","DOIUrl":"https://doi.org/10.1109/WSC.2010.5678920","url":null,"abstract":"We use a stochastic simulation model of pandemic influenza to investigate realistic intervention strategies that can be used in reaction to developing outbreaks. The model is constructed to represent a typical midsized North American city. Our model predicts average illness attack rates and economic costs for various intervention scenarios, e.g., in the case when low-coverage reactive vaccination and limited antiviral use are combined with minimally disruptive social distancing strategies, including short-term closure of individual schools. We find that such combination strategies can be substantially more effective than vaccination alone from epidemiological and economic standpoints.","PeriodicalId":272260,"journal":{"name":"Proceedings of the 2010 Winter Simulation Conference","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127529016","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":"Does the Erlang C model fit in real call centers?","authors":"T. R. Robbins, D. Medeiros, Terry P. Harrison","doi":"10.1109/WSC.2010.5678980","DOIUrl":"https://doi.org/10.1109/WSC.2010.5678980","url":null,"abstract":"We consider the Erlang C model, a queuing model commonly used to analyze call center performance. Erlang C is a simple model that ignores caller abandonment and is the model most commonly used by practitioners and researchers. We compare the theoretical performance predictions of the Erlang C model to a call center simulation model where many of the Erlang C assumptions are relaxed. Our findings indicate that the Erlang C model is subject to significant error in predicting system performance, but that these errors are heavily biased and most likely to be pessimistic, i.e. the system tends to perform better than predicted. It may be the case that the model's tendency to provide pessimistic (i.e. conservative) estimates helps explain its continued popularity. Prediction error is strongly correlated with the abandonment rate so the model works best in call centers with large numbers of agents and relatively low utilization rates.","PeriodicalId":272260,"journal":{"name":"Proceedings of the 2010 Winter Simulation Conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125369434","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}
Mario Marin, Yanshen Zhu, L. A. Andrade, Erwin Atencio, C. Boya, Carlos Mendizábal
{"title":"Supply chain and hybrid modeling: The Panama Canal operations and its salinity diffusion","authors":"Mario Marin, Yanshen Zhu, L. A. Andrade, Erwin Atencio, C. Boya, Carlos Mendizábal","doi":"10.1109/WSC.2010.5678869","DOIUrl":"https://doi.org/10.1109/WSC.2010.5678869","url":null,"abstract":"This paper deals with the simulation modeling of the service supply chain and the salinity and its diffusion in the Panama Canal. An operational supply chain model was created using discrete-event simulation. Once complete, a component based on differential equations was added to the model to investigate the intrusion of salt and the resulting salinity diffusion into the lakes of the canal. This component was implemented in the AnyLogic simulation modeling environment by taking advantage of the concept of hybrid modeling that is embedded in AnyLogic.","PeriodicalId":272260,"journal":{"name":"Proceedings of the 2010 Winter Simulation Conference","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125593679","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 and development of a sustainability toolkit for simulation","authors":"Xi Zhou, M. Kuhl","doi":"10.1109/WSC.2010.5678910","DOIUrl":"https://doi.org/10.1109/WSC.2010.5678910","url":null,"abstract":"As sustainability related issues are becoming increasingly import in business decision making, simulation modeling is needed to analyze the system performance not only using traditional performance measures such as productivity and efficiency, but also taking into account sustainability related performance measures. This paper describes the design and development of a sustainability toolkit for simulation with the intent of making sustainability related performance measures as easy to model and collect as traditional productivity based performance measures. The focus here is on the development of a toolkit for modeling and analysis of environmental performance measures in discrete-event systems simulation.","PeriodicalId":272260,"journal":{"name":"Proceedings of the 2010 Winter Simulation Conference","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115032873","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. J. Fischer, D. Masi, J. Shortle, Chun-Hung Chen
{"title":"Simulating non-stationary congestion systems using splitting with applications to cyber security","authors":"M. J. Fischer, D. Masi, J. Shortle, Chun-Hung Chen","doi":"10.1109/WSC.2010.5678981","DOIUrl":"https://doi.org/10.1109/WSC.2010.5678981","url":null,"abstract":"According to the former counterterrorism czar, Richard A. Clarke (2010), our national infrastructure could be severely damaged in 15 minutes by a cyber attack. A worm attack on an Internet Protocol (IP) network is one type of attack that is possible. Such an attack would result in a non-stationary arrival process of packets on a link in the network. In this paper we present an initial use of our Optimal Splitting Technique for Rare Events (OSTRE) to simulate the congestion imposed by the worm on the link. This initial application is oriented to testing the technique in this dynamic environment and report on its use as compared with conventional simulations.","PeriodicalId":272260,"journal":{"name":"Proceedings of the 2010 Winter Simulation Conference","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116139496","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 affiliations in networks","authors":"Brian Cloteaux","doi":"10.1109/WSC.2010.5678990","DOIUrl":"https://doi.org/10.1109/WSC.2010.5678990","url":null,"abstract":"One way to help understand the structure of certain networks is to examine what common group memberships the actors in the network share. Linking actors to their common affiliations gives an alternative type of network commonly called an affiliation network. Recently, there have been several studies examining the problem of modeling the dynamics of a network through the changes in the affiliations of its actors. We examine the closely related problem of modeling the affiliations for a given network. We especially focus on the case of trying to mine these affiliations when the original network is potentially missing links.","PeriodicalId":272260,"journal":{"name":"Proceedings of the 2010 Winter Simulation Conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116410779","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}