{"title":"SoPT: Ontology for simulation optimization for scientific experiments","authors":"Jun Han, J. Miller, Gregory A. Silver","doi":"10.1109/WSC.2011.6147994","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147994","url":null,"abstract":"Simulation optimization is attracting increasing research interest from the modeling and simulation community. Although there is much research on how to apply various simulation optimization techniques to solve numerous practical and research problems, researchers find that existing optimization routines are difficult to extend or integrate and often require one to develop their own optimization methods because the existing ones are problem-specific and not designed for reuse. In order to facilitate reuse of the available optimization routines and better capture the essence of different simulation optimization techniques, an ontology for simulation optimization (SoPT) is devised. SoPT includes concepts from both conventional optimization/mathematical programming and simulation optimization. Represented in ontological form, optimization routines can also be transformed into actual executable application code (e.g., targeting JSIM or ScalaTion). As illustrative examples, SoPT is being applied to real scientific computational problems.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123203920","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":"Selecting the best supplier based on a Multi-Criteria Taguchi loss function: A simulation optimization approach","authors":"Tamara Jaber, Alaa Horani, Rana Nazzal, Sameh Al-Shihabi","doi":"10.5555/2431518.2432029","DOIUrl":"https://doi.org/10.5555/2431518.2432029","url":null,"abstract":"Minimum price is not the only objective that companies pursue when sourcing their materials. Selecting the best supplier entails looking for the best quality as well as the most reliable delivery. This work suggests a Multi-Criteria objective function that linearly aggregates a number of Taguchi loss functions, which represent the criteria of price, quality, and delivery. We initially recommend a framework to represent the market and then generate test data to represent the different market scenarios. We introduce randomness into this framework in order to achieve a highly realistic assumption. This study then employs the Optimal Computation Budget Allocation (OCBA) algorithm to choose the best supplier. OCBA solutions are benchmarked against the deterministic solution to check OCBA's ability to find the optimal solution. OCBA solutions are also compared to an Equal Allocation (EA) algorithm to verify their effectiveness in terms of minimizing the costs of sampling.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123496118","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":"Scheduling simulation-based techniques for earned value management on resource-constrained schedules under delayed scenarios","authors":"M. Siu, Ming Lu","doi":"10.1109/WSC.2011.6148041","DOIUrl":"https://doi.org/10.1109/WSC.2011.6148041","url":null,"abstract":"Earned value management (EVM) is widely utilized for project progress monitoring and cost control purposes. However, traditional EVM techniques are intended for ideal scheduling scenarios without considering the effect of activity-level and project-level delays. The EVM fails to account for dynamic changes of project status in terms of project time extension and associated cost overrun, potentially generating misleading project performance tracking indicators. This research proposes a refined EVM approach based on discrete event simulation (scheduling simulation) to tackle complicated resource-constrained scheduling. A case study is used to demonstrate its applications on a resource-constrained schedule under postulated delay scenarios. It is found that this approach is conducive to truthfully reflecting the project performance status given a resource-constrained schedule subject to complicated activity-project delay. Conclusions are drawn by recapitulating the research contributions and addressing the limitations in the end.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124695128","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":"Improving simulation results with static models","authors":"Martin J. Miller, Niloo Shahi, A. N. Dias","doi":"10.1109/WSC.2011.6147844","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147844","url":null,"abstract":"Effective simulation models require robust development methodologies. Planning, design, data, and testing are integral to ensure valuable answers to the model's customers. This paper discusses how supporting static models provide guidelines and directional correctness to simulation models. Static models can also provide supplemental answers which allow the reduction in simulation model complexity.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124714234","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":"Asymptotic properties of kernel density estimators when applying importance sampling","authors":"Marvin K. Nakayama","doi":"10.1109/WSC.2011.6147785","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147785","url":null,"abstract":"We study asymptotic properties of kernel estimators of an unknown density when applying importance sampling (IS). In particular, we provide conditions under which the estimators are consistent, both pointwise and uniformly, and are asymptotically normal. We also study the optimal bandwidth for minimizing the asymptotic mean square error (MSE) at a single point and the asymptotic mean integrated square error (MISE). We show that IS can improve the asymptotic MSE at a single point, but IS always increases the asymptotic MISE. We also give conditions ensuring the consistency of an IS kernel estimator of the sparsity function, which is the inverse of the density evaluated at a quantile. This is useful for constructing a confidence interval for a quantile when applying IS. We also provide conditions under which the IS kernel estimator of the sparsity function is asymptotically normal. We provide some empirical results from experiments with a small model.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124914974","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}
D. Noreña, L. Yamín, Raha Akhavan-Tabatabaei, W. Ospina
{"title":"Using discrete event simulation to evaluate the logistics of medical attention during the relief operations in an earthquake in Bogota","authors":"D. Noreña, L. Yamín, Raha Akhavan-Tabatabaei, W. Ospina","doi":"10.1109/WSC.2011.6147973","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147973","url":null,"abstract":"City of Bogotá the capital of Colombia, is located in a region with a high risk of natural disasters including earthquakes. Over the past few years the city officials have been developing high level emergency plans to cope with such disasters. However the current emergency plan lacks details on the logistics of medical attention. The motivation of this work is to evaluate the efficiency of the current emergency plan in attending the injured within the first four days of an earthquake. We present a simulation model to transfer the injured people to the temporary and permanent hospitals. The model takes into account the current capacity and occupation rate of the permanent hospitals, the current number of ambulances in the zone and the approximate duration of destructed routes among others. The model outcomes are used by the government agencies to reduce the uncertainty impact on planning the logistics of relief operations.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123646616","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":"Optimizing local pickup and delivery with uncertain loads","authors":"Weiwei Chen, Jie Song, Leyuan Shi","doi":"10.1109/WSC.2011.6148112","DOIUrl":"https://doi.org/10.1109/WSC.2011.6148112","url":null,"abstract":"The local pickup and delivery problem (LPDP) is an essential operational problem in intermodal industry. While the problem with deterministic settings is already difficult to solve, in reality, there exist a set of loads, called uncertain loads, which are unknown at the beginning of the day. But customers may call in during the day to materialize these loads. In this paper, we call the LPDP considering these uncertain loads as the stochastic LPDP. The problem description and the mathematical modeling of stochastic LPDP are discussed. Then, a simulation-based optimization approach is proposed to solve the problem, which features in a fast solution generation procedure and an intelligent simulation budget allocation framework. The numerical examples show the best strategy to consider the stochastic loads in the planning process and validate the benefits compared to its deterministic counterpart.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121897987","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}
Stephanie C. Ysebaert, Alan W. Johnson, J.O. Miller, Timothy J. Pettit
{"title":"An analytical approach to Low Observable maintenance practices using simulation and marginal analysis","authors":"Stephanie C. Ysebaert, Alan W. Johnson, J.O. Miller, Timothy J. Pettit","doi":"10.1109/WSC.2011.6147961","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147961","url":null,"abstract":"The F-22 Raptor is a unique aircraft with many technological advantages and superior capabilities. The aircraft's stealth capability is a function of many design aspects, including coatings that cover the outside of the aircraft and help mitigate radar detection. Maintaining these Low Observable coatings has its own set of challenges to include an inexperienced work force, time consuming procedures, and demanding maneuvers of a fifth generation fighter aircraft. Another challenge facing the F-22 fleet is low aircraft availability, where the aircraft is down for numerous reasons. Using a simulation built in ARENA, process improvements to Low Observable maintenance can be quantified with a goal of improving aircraft availability. One example of process improvements, the use of extra stock panels is tested in the simulation to see the potential marginal improvement to Aircraft Availability.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125439718","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":"Using schedule simulation approaches to reduce greenhouse gas emissions in highway construction project","authors":"Pei Tang, Darrell Cass, Amlan Mukherjee","doi":"10.1109/WSC.2011.6147807","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147807","url":null,"abstract":"Scheduling approaches used in construction projects like Critical Path Method (CPM) and Linear Scheduling Method (LSM) are different ways of expressing resource, spatial and temporal constraints. Given the nature of the project, one or the other approaches may prove to be more suitable in representing project characteristics crucial to managing the schedule. This paper argues that different scheduling approaches have different impacts on project greenhouse gas (GHG) emissions regardless of the construction strategies used. The argument is investigated by applying two construction strategies to complete three as-planned highway construction schedules on a simulation platform. As-planned schedules are created from CPM, LSM, and an actual schedule. The quantities of GHG emissions were calculated and compared. The paper identified effective scheduling approaches in reducing GHG emissions. This research supports methods to reduce construction GHG emissions considering the trade-offs between cost, duration, and GHG emissions during the project planning and construction phase.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125589090","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":"Impact of hybrid and electric vehicles on automobile recycling infrastructure","authors":"D. Kibira, Sanjay Jain","doi":"10.1109/WSC.2011.6147830","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147830","url":null,"abstract":"The recycling infrastructure for end-of-use vehicles in the United States is driven by profitability due to the absence of regulations. Typically, the recycling consists of removing reusable components for resale and shredding and separating remaining material for material recovery. Profitability depends on the quantity and type of components and material recovered. Because the material composition of hybrid and electric vehicles differs from conventional vehicles, their increased presence is expected to affect profitability. Understanding the impact of these vehicles on recycling profitability is the focus of this paper. It uses a system dynamics model to analyze that impact on the profitability of dismantler and shredder operations over the coming years.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129237272","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}