{"title":"Integrated interfaces for decision-support with simulation","authors":"Philip R. Cohen","doi":"10.1109/WSC.1991.185725","DOIUrl":"https://doi.org/10.1109/WSC.1991.185725","url":null,"abstract":"It is pointed out that a major limitation of graphical user interfaces for simulation is that users such as managers and decision makers need to know too much. The author examines the weaknesses inherent in graphical user interfaces to support these users of simulation for short-term situation assessment and scenario evaluation, a style of problem-solving characteristic of military and factory command-and-control. He then presents Shoptalk, a factory command-and-control system with an interface integrating direct manipulation and natural-language processing, and demonstrates how the Shoptalk style of interaction can overcome these limitations.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121149493","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":"Object-oriented graphical analysis","authors":"C. Hurley","doi":"10.1109/WSC.1991.185698","DOIUrl":"https://doi.org/10.1109/WSC.1991.185698","url":null,"abstract":"The author describes how object-oriented techniques may be used in the output analysis phase of a simulation, using a system designed for highly interactive, graphical data analysis. The implementation is in Common Lisp; the graphic package is part of the QUAIL (quantitative analysis in Lisp) system. Applications to analysis of simulation data are discussed. The capabilities of the plot package are illustrated with a graphical analysis of a simulation experiment, and interactive techniques for analyzing time-varying response variables are described.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121659477","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. Lou, Houmin Yan, S. Sethi, A. Gardel, P. Deosthali
{"title":"Using simulation to test the robustness of various existing production control policies","authors":"S. Lou, Houmin Yan, S. Sethi, A. Gardel, P. Deosthali","doi":"10.1109/WSC.1991.185623","DOIUrl":"https://doi.org/10.1109/WSC.1991.185623","url":null,"abstract":"Compares four production control policies in terms of their robustness against random disturbances such as machine failures and demand fluctuations. A simulation model based on a VLSI wafer fabrication facility is used to test the performance of the policies. Several criteria, including average total WIP (work-in-progress), average backlog, and a cost function that is a combination of the first two criteria, are used to measure the performance.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114063342","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}
Barry L Ivelson, W. D. Kelton, Gordon M Clark, S. Manivannan, J. Banks
{"title":"Real-time control of a manufacturing cell using knowledge-based simulation","authors":"Barry L Ivelson, W. D. Kelton, Gordon M Clark, S. Manivannan, J. Banks","doi":"10.1109/WSC.1991.185622","DOIUrl":"https://doi.org/10.1109/WSC.1991.185622","url":null,"abstract":"The need for integrated simulation environments for modeling and analysis is advanced. A mathematical framework based on higher-level abstractions representing entities, attributes, constraints, and other components of manufacturing cells is presented. A manufacturing cell has been modeled to illustrate the framework and real-time control issues using knowledge-based simulation. A temporal knowledge base has been designed to synchronize the events and their times of occurrence in both the manufacturing cell and the simulation model. A dynamic knowledge base has been implemented using frame structures for storing the results of simulation. This feature provides a faster response to a control problem by reducing the number of resimulations conducted for evaluating various alternative policies in real time. The proposed real-time knowledge-based simulation system has been applied to a manufacturing cell connected to a variety of materials handling systems.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125337939","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}
R. F. Gordon, Paul G. Loewner, E. MacNair, Haojin Wang, K. J. Gordon, J. Kurose
{"title":"Error detection and display for graphical modeling environments","authors":"R. F. Gordon, Paul G. Loewner, E. MacNair, Haojin Wang, K. J. Gordon, J. Kurose","doi":"10.1109/WSC.1991.185735","DOIUrl":"https://doi.org/10.1109/WSC.1991.185735","url":null,"abstract":"The authors discuss the error detection and display capabilities they believe are needed in visual modeling tools and describe the implementation of these capabilities in the Research Queueing Package Modeling Environment (RESQME). They describe how the interface can incrementally (i.e., while the model is being constructed) eliminate some classes of errors and detect and assist in correcting the other syntactical errors interactively as the user builds the model. They distinguish this incremental avoidance, detection, and notification of errors from the case in which a model is first completely constructed and then compiled or checked for errors in much the same way that a program written in traditional programming languages is compiled. They also distinguish this incremental error checking from a purely local checking for syntax errors, as is done by packages such as BLOCKS.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134284592","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":"An approach to object-oriented discrete-event simulation of manufacturing systems","authors":"J. Shewchuk, Tien-Chien Chang","doi":"10.1109/WSC.1991.185628","DOIUrl":"https://doi.org/10.1109/WSC.1991.185628","url":null,"abstract":"It is shown how the object-oriented approach can be applied to discrete-event simulation and, in particular, to discrete-event simulation of manufacturing systems. A hierarchical structure of object classes is proposed, consisting of three class libraries: base classes, simulation support object classes, and manufacturing systems simulation object classes. The definition of each class and how the class objects interact with one another are discussed. An example of a discrete-event simulation model developed using the object classes is presented. The example illustrates the basic nature, merits, and drawbacks of this approach.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132895967","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":"Comparison of global search methods for design optimization using simulation","authors":"B. Stuckman, G. Evans, M. Mollaghasemi","doi":"10.1109/WSC.1991.185708","DOIUrl":"https://doi.org/10.1109/WSC.1991.185708","url":null,"abstract":"A methodology for the application of global search methods for optimizing the results of a computer simulation is presented. Specific global optimization methods including simulated annealing, genetic algorithms, and Bayesian techniques are discussed in terms of their strengths and weaknesses as applied to this methodology. In particular, the effects of simulation time, constraints, dimensionality, and computational complexity are considered as they relate to the choice of algorithms. Simulated annealing and genetic algorithms perform similarly, yet differ in many ways from the class of Bayesian algorithms. Bayesian algorithms spend additional computation time in modeling all past values of the unknown function in an effort to minimize the number of evaluations of the function. These methods would be the algorithms of choice for determining the optimal design via simulation, provided the number of design variables is less than 10 and the time required to run a single simulation is large compared with the time it takes the algorithm to determine the next point.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128287910","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":"An overview of derivative estimation","authors":"P. L'Ecuyer","doi":"10.1109/WSC.1991.185617","DOIUrl":"https://doi.org/10.1109/WSC.1991.185617","url":null,"abstract":"The author explains the main techniques for estimating derivatives by simulation and surveys the most recent developments in that area. In particular, he discusses perturbation analysis, likelihood ratios, weak derivatives, finite differences, and many of their variants. Some other approaches are also mentioned. The emphasis is on the relationships between the methods. For that purpose, they are presented in the same framework.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131605714","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":"Evaluation of F-15E availability during operational test","authors":"L. Pohl","doi":"10.1109/WSC.1991.185658","DOIUrl":"https://doi.org/10.1109/WSC.1991.185658","url":null,"abstract":"The US Air Force conducted an operational test and evaluation (OT&E) of the F-15E Dual Role Fighter from December 1988 to September 1989. In support of the testing, an F-15E Availability Model was developed to address the mission reliability, maintainability, and availability of a 24-aircraft squadron in an operational environment. The author defines mission reliability, maintainability, and availability for the purpose of discussing model usage. Why the model was developed, some of its capabilities and limitations, model verification and validation, and the results of the OT&E analysis using the model, are discussed.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133696716","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 methodology for simulating the US recreational fishery for billfish","authors":"Mark I. Farber","doi":"10.1109/WSC.1991.185692","DOIUrl":"https://doi.org/10.1109/WSC.1991.185692","url":null,"abstract":"A simulation model of the process for recreational tournament fishing for billfish is developed, using the northeastern Gulf of Mexico as the study area. The objective is to explore the relationship between catch-rate and abundance. Starting with an initial fish population, both the boat and fish move throughout a spatial grid as the fishing day progresses. The simulation first determines if a fish is within proximity of a boat and, if so, if the fish was subsequently raised to the bait. It then determines if a raised fish was hooked. Data are tabulated on the number of fish hooked by all boats fishing during a tournament day per 100 hours of effort. The catch rate is classically used for indexing abundance.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134127404","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}