{"title":"Automated generation of analytical process time models for cluster tools in semiconductor manufacturing","authors":"Robert Kohn, O. Rose","doi":"10.1109/WSC.2011.6147895","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147895","url":null,"abstract":"In this paper, we present an approach to automatically create an analytical process time model for cluster tools using real-world data. The proposed model combines advantages of simple throughput models and discrete event simulation models. We consider the effect of small lot size and the slow down effect occurring when simultaneously processed lots interfere with each other. Especially the use of Slow Down Factors depending on a certain recipe combination and start delay adequately mirrors sequential and parallel processing mode. We also describe a modeling method that automatically leads to parameterized models with high accuracy. This study presents evaluation results gained from models, which we create from and test against real-world data gathered from past equipment events. We discuss exemplary processing behaviors by means of three examples. We conclude that the proposed analytical cluster tool model is suitable to predict process times with respect to accuracy and prediction coverage.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"5 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":"130531003","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 regularized adaptive steplength stochastic approximation scheme for monotone stochastic variational inequalities","authors":"Farzad Yousefian, A. Nedić, U. Shanbhag","doi":"10.1109/WSC.2011.6148100","DOIUrl":"https://doi.org/10.1109/WSC.2011.6148100","url":null,"abstract":"We consider the solution of monotone stochastic variational inequalities and present an adaptive steplength stochastic approximation framework with possibly multivalued mappings. Traditional implementations of SA have been characterized by two challenges. First, convergence of standard SA schemes requires a strongly or strictly monotone single-valued mapping, a requirement that is rarely met. Second, while convergence requires that the steplength sequences need to satisfy Σkγk = ∞ and Σkγk2 <; ∞, little guidance is provided on a choice of sequences. In fact, standard choices such as γk = 1/k may often perform poorly in practice. Motivated by the minimization of a suitable error bound, a recursive rule for prescribing steplengths is proposed for strongly monotone problems. By introducing a regularization sequence, extensions to merely monotone regimes are proposed. Finally, an iterative smoothing extension is suggested for accommodating multivalued mappings. Preliminary numerical results suggest that the schemes prove effective.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"1 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":"129186667","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 optimization for groups of cluster tools in semiconductor manufacturing using simulated annealing","authors":"Tobias Uhlig, O. Rose","doi":"10.1109/WSC.2011.6147899","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147899","url":null,"abstract":"Simulation-based optimization is an established approach to handle complex scheduling problems. The problem examined in this study is scheduling jobs for groups of cluster tools in semiconductor manufacturing including a combination of sequencing, partitioning, and grouping of jobs with additional constraints. We use a specialized fast simulator to evaluate the generated schedules which allows us to run a large number of optimization iterations. For optimization we propose a simulated annealing algorithm to generate the schedules. It is implemented as a special instance of our adaptable evolutionary algorithm framework. As a consequence it is easy to adapt and extend the algorithm. For example, we can make use of various already existing problem representations that are geared to excel at certain aspects of our problem. Furthermore, we are able to parallelize the algorithm by using a population of optimization runs.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"59 40","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114005783","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 mesoscopic approach to modeling and simulation of logistics processes","authors":"T. Reggelin, Juri Tolujew","doi":"10.1109/WSC.2011.6147869","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147869","url":null,"abstract":"Simulation models are important for planing, implementing and operating logistics systems since they can depict their dynamic system behavior. In the field of logistics, discrete-event models are widely used. Their creation and computation is often very time and labor consuming. For this reason, the paper presents a new mesoscopic modeling and simulation approach to quickly and effectively execute analysis and planning tasks related to production and logistics systems. Mesoscopic models represent logistics flow processes on an aggregated level through piecewise constant flow rates instead of modeling individual flow objects. The results are not obtained by counting individual objects but by using mathematical formulas to calculate the results as continuous quantities in every modeling time step. This leads to a fast model creation and computation. In terms of level of detail, mesoscopic simulation models fall between object based discrete-event simulation models and flow based continuous simulation models.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"530 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":"124509043","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":"Traces generation to simulate large-scale distributed applications","authors":"Olivier Dalle, E. Mancini","doi":"10.1109/WSC.2011.6148000","DOIUrl":"https://doi.org/10.1109/WSC.2011.6148000","url":null,"abstract":"In order to study the performance of scheduling algorithms, simulators of parallel and distributed applications need accurate models of the application's behavior during execution. For this purpose, traces of low-level events collected during the actual execution of real applications are needed. Collecting such traces is a difficult task due to the timing, to the interference of instrumentation code, and to the storage and transfer of the collected data. To address this problem we propose a comprehensive software architecture, which instruments the application's executables, gather hierarchically the traces, and post-process them in order to feed simulation models. We designed it to be scalable, modular and extensible.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"61 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":"126295520","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 real-time performance monitoring (simmon): A platform for manufacturing and healthcare systems","authors":"A. Mousavi, A. Komashie, S. Tavakoli","doi":"10.1109/WSC.2011.6147789","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147789","url":null,"abstract":"This paper introduces a new technology platform that improves the efficiency and effectiveness of simulation modelling projects. A recently developed platform that integrates data acquisition management platform (primary models) and post simulation performance analysis models (synthesis) is described. The use of real-time discrete event simulation modelers as a vehicle is proposed. In recent years we have suggested a number of solutions to integrate shopfloor data with higher level information systems. All these solutions lacked two key capabilities. Firstly, the solutions were not capable of interacting with data acquisition systems without expert interference in determining the quality and quantity of input signals. Therefore, connecting input signals to key performance indicators (i.e. simulation parameters) was extremely challenging and error prone. Secondly, from health workers? and plant managers? perspective, simulation results (e.g. resource utilization, waiting times, work-in-process, etc.) did not correspond to industry performance metrics. SIMMON is proposed here to address these two problems.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"14 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":"126340788","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 personnel in arforgen to predict effects of structure, policy, and demand changes","authors":"D. W. Hughes, Paul Kucik, Mark M. Zais","doi":"10.1109/WSC.2011.6147955","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147955","url":null,"abstract":"The restructuring of the U.S. Army's active component to 45 Brigade Combat Teams and 13 Combat Aviation Brigades, along with the adoption of the Army Force Generation process, have fundamentally changed Army force structure across rank and specialty while also transforming the model and cycle by which units are manned. In order to meet manning requirements for the planned force structure in support of potential conflicts worldwide, the Army must reassess the manning processes and policies used to achieve these goals. This research utilizes a discrete event simulation model of individual Soldiers as they progress through an Army career, including the demands for soldiers in theater. Simulation results are generated for multiple critical specialties and analyzed to determine the effect of deployment policies on the individual soldier. The Vice Chief of Staff of the Army (VCSA) has designated this effort as a priority modeling effort.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"25 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":"125995975","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":"Correlation, simulation and uncertainty in catastrophe modeling","authors":"D. Lohmann, F. Yue","doi":"10.1109/WSC.2011.6147746","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147746","url":null,"abstract":"The science of catastrophic risk modeling helps people to understand the physical and financial implications of natural catastrophes (hurricanes, flood, earthquakes, etc.), terrorism, and the risks associated with changes in life expectancy. As such it depends on simulation techniques that integrate multiple disciplines such as meteorology, hydrology, structural engineering, statistics, computer science, financial engineering, actuarial science, and more in virtually every field of technology. In this paper we will explain the techniques and underlying assumptions of building catastrophe models end to end. We especially will pay attention to correlation (spatial and temporal), simulation and uncertainty in each of the various components in the development process. Our Next Generation Simulation Platform will enable clients (insurance and re-insurance companies) to look at their catastrophe risks objectively while at the same time being able to make use of an open model architecture that opens up the infrastructure of risk modeling.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"10 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":"134227389","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}
Wenbo Ma, Tristan Kleinschmidt, C. Fookes, P. Yarlagadda
{"title":"Check-in processing: Simulation of passengers with advanced traits","authors":"Wenbo Ma, Tristan Kleinschmidt, C. Fookes, P. Yarlagadda","doi":"10.1109/WSC.2011.6147893","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147893","url":null,"abstract":"In order to tackle the growth of air travelers in airports worldwide, it is important to simulate and understand passenger flows to predict future capacity constraints and levels of service. We discuss the ability of agent-based models to understand complicated pedestrian movement in built environments. In this paper we propose advanced passenger traits to enable more detailed modeling of behaviors in terminal buildings, particularly in the departure hall around the check-in facilities. To demonstrate the concepts, we perform a series of passenger agent simulations in a virtual airport terminal. In doing so, we generate a spatial distribution of passengers within the departure hall to ancillary facilities such as cafes, information kiosks and phone booths as well as common check-in facilities, and observe the effects this has on passenger check-in and departure hall dwell times, and facility utilization.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"76 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":"134094691","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":"Operations modeling and analysis of an underground coal mine","authors":"K. Miwa, S. Takakuwa","doi":"10.1109/WSC.2011.6147884","DOIUrl":"https://doi.org/10.1109/WSC.2011.6147884","url":null,"abstract":"In general, it is quite difficult to describe and model operations and conveyance systems precisely in underground coal mines because of geological components, poor visibility, unreliable installed facilities, and difficult work conditions. In this study, a simulation model of an operations and materials handling system for an underground coal mine was built to investigate the relationship between the coal output and materials handling systems, which includes specifications for the facilities and the buffer space for the storage bin underground. It was found that it is possible to find the bottleneck of a conveyance system to determine more efficient mining and conveyance methods by performing a simulation.","PeriodicalId":246140,"journal":{"name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","volume":"1 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":"130870724","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}