{"title":"Taylor II Manufacturing Simulation Software","authors":"D. Hillen, D. Werner","doi":"10.1109/WSC.1993.718061","DOIUrl":"https://doi.org/10.1109/WSC.1993.718061","url":null,"abstract":"Taylor II is a menu-driven simulation package mainly used in manufacturing and logistics. It is developed for the analysis and quantitative evaluation of complex processes especially of those with a dynamic character. A lot of applications in different industries show that there is an increasing need for simulation tools. This paper will demonstrate the process of building, analysing and presenting models of real world systems with Taylor II.","PeriodicalId":177234,"journal":{"name":"Proceedings of 1993 Winter Simulation Conference - (WSC '93)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133492477","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":"Building Object-Oriented Simulations with C++","authors":"J. Joines, S. D. Roberts, Kenneth A. Powell","doi":"10.1145/256563.256590","DOIUrl":"https://doi.org/10.1145/256563.256590","url":null,"abstract":"This tutorial shows how to build object-oriented simulation models in C++. A set of object classes, called YANSL, have been written in C++ for network based simulation. Objects from YANSL are used to create a network queuing model of the Harbor problem. Models that use YANSL have the \"look and feel\" of existing network simulation languages, but possess the benefits of an object-oriented design, including the use of classes, inheritance, encapsulation, polymorphism, run time binding, and parameterized typing. These concepts are illustrated through several seemingly difficult embellishments to the example, which actually extend the language. Object-oriented simulations provide full accessibility to the base language, faster executions, portable models and executables, a multi-vendor implementation language, and a growing variety of complementary development tools.","PeriodicalId":177234,"journal":{"name":"Proceedings of 1993 Winter Simulation Conference - (WSC '93)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114203371","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 Simulation Model for Assessing Network Capacity","authors":"A. Hajare, Daniel T. Wick","doi":"10.1109/WSC.1993.718375","DOIUrl":"https://doi.org/10.1109/WSC.1993.718375","url":null,"abstract":"NASA has procured a large scale software development facility, known as the Ground Systems Development Environment (GSDE), to support the development of the ground systems software for Space Station Freedom. The GSDE is geographically distributed and includes Local Area Networks (LANs) and T1 lines connecting users at multiple contractor facilities to a mainframe complex at the Johnson Space Center (JSC). In order to assess the adequacy of the planned GSDE network, a discrete event simulation model was developed using Network II.5. In addition to models of each Ethernet segment and each communication link, the network model included detailed models of the architecture of key components, such as routers. A utilization model was developed to estimate the traffic that would be generated by the network users. The simulation model of the GSDE network yielded component utilization, queue lengths, and other performance data. A nominal scenario was simulated, as well as five other potential scenarios that can result in higher network traffic.","PeriodicalId":177234,"journal":{"name":"Proceedings of 1993 Winter Simulation Conference - (WSC '93)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117119051","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 Prototype Implementation of a Model Management System for Discrete-Event Simulation Models","authors":"M. L. Lenard","doi":"10.1109/WSC.1993.718099","DOIUrl":"https://doi.org/10.1109/WSC.1993.718099","url":null,"abstract":"We describe a prototype implementation of a model management system (MMS) for discrete-event simulation models. The development platform is a relational Database Management System (DBMS) installed on a desktop computer. The conceptual foundation for this MMS is Structured Modeling (SM) and Extended Structured Modeling (ESM). Using the SM and ESM frameworks makes it possible to take an integrated approach to representing and managing both models and data. It also makes possible the use of various DBMS functions to aid in the implementation of MMS functions. In effect, the MMS is constructed as a database application. The user interface to the MMS was implemented using application the Forms and Menus Facilities of the DBMS. A variety of reports documenting the model are generated using the query language of the DBMS. Most important perhaps is the code generation procedure, a complex query procedure that produces SIMSCRIPT II.5 code for simulating the model from the model representation stored in the database.","PeriodicalId":177234,"journal":{"name":"Proceedings of 1993 Winter Simulation Conference - (WSC '93)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123525461","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":"Applications of the Tes Modeling Methodology","authors":"B. Melamed, Jon R. Hill","doi":"10.1145/256563.257041","DOIUrl":"https://doi.org/10.1145/256563.257041","url":null,"abstract":"TES (Transform-Expand-Sample) is a versatile methodology for modeling general stationary time series, and particularly those that are autocorrelated. The salient feature of TES lies in its ability to simultaneously capture first order and second-order properties of empirical time series; given a sample data sequence, TES is designed to simultaneously capture any arbitrary marginal distribution and approximate the leading autocorrelations. Practical TES modeling is computationally intensive and can be effectively carried out only with software support. A computerized modeling environment, TEStool, has been designed to support the TES modeling methodology, through an interactive heuristic search approach facilitated by state of-the-art data visualization techniques. The purpose of this paper is to present four examples of the effective use of the TES methodology to model various types of time series that arise in a variety of disciplines, ranging from manufacturing to financial modeling, with particular emphasis on video compression. These examples serve to highlight the efficacy and versatility of the TES modeling methodology.","PeriodicalId":177234,"journal":{"name":"Proceedings of 1993 Winter Simulation Conference - (WSC '93)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122756690","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}
Brian D. Withers, A. Alan B. Pritsker, David H. Withers
{"title":"A Structured Definition of the Modeling process","authors":"Brian D. Withers, A. Alan B. Pritsker, David H. Withers","doi":"10.1109/WSC.1993.718367","DOIUrl":"https://doi.org/10.1109/WSC.1993.718367","url":null,"abstract":"This research uses the IDEFO methodology to develop a structured functional model of the modeling process. It ties together multiple views of this process from current literature and field experience from successful modeling projects. The motivation for this project is to describe the process for discrete event simulation models, but the process can be used for other modeling techniques. The basis for this work was a panel discussion at the 1991 Winter Simulation Conference. (Pritsker, 91). This formal representation of the modeling process offers opportunities for further research to refine the art of problem resolution using models.","PeriodicalId":177234,"journal":{"name":"Proceedings of 1993 Winter Simulation Conference - (WSC '93)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123915925","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":"Smulation-based Finite Capacity Scheduling: A Case Study","authors":"Maureen T. Rosenwinkel, P. Rogers","doi":"10.1109/WSC.1993.718341","DOIUrl":"https://doi.org/10.1109/WSC.1993.718341","url":null,"abstract":"This paper describes the selection and implementation of a simulation-based finite capacity scheduling package for a medium scale manufacturing company, Crane, Inc. of Chicago, Illinois. The paper first discusses the characteristics and constraints of the manufacturing environment at the company and describes a vision of a finite capacity scheduling system aimed at working in this environment. From the vision, system requirements are defined and used to develop evaluation criteria against which alternative commercial packages are then measured, leading to the selection of the most appropriate package. The final two sections of the paper discuss the system implementation process, highlighting the steps needed for success and the lessons learned, and map out the future development of the system within John Crane.","PeriodicalId":177234,"journal":{"name":"Proceedings of 1993 Winter Simulation Conference - (WSC '93)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126312049","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":"Visual Modeling of Devs-Based Multiformalism Systems Based on Higraphs","authors":"Herbert Prähofer, Dietmar Pree","doi":"10.1109/WSC.1993.718105","DOIUrl":"https://doi.org/10.1109/WSC.1993.718105","url":null,"abstract":"This paper presents a graphical modeling method and tool for DEVS model and DEVS-based combined discrete/continuous model specification. In DEVS-based modeling, atomic model behavior specification is organized around different phases which define a partition of the state space of the model. The phase transitions depict the qualitative state changes and naturally lend themselves to be represented by a state transition diagram. Our representation of these phase transitions is based on the higraph extension to conventional graph representations. In higraphs, the area of the diagram is used to represent set enclosure and exclusion and the Cartesian product which leads to remarkable reduction in the diagram's complexity. An interactive modeling tool based on the graphical representation developed is presented.","PeriodicalId":177234,"journal":{"name":"Proceedings of 1993 Winter Simulation Conference - (WSC '93)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128229386","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":"Generating Component Release Plans With Backward Simulation","authors":"E. Watson, D. Medeiros, R. Sadowski","doi":"10.1109/WSC.1993.718340","DOIUrl":"https://doi.org/10.1109/WSC.1993.718340","url":null,"abstract":"Simulation modeling has traditionally been used in the discrete parts environment for facility design and capacity planning studies. More recently, simulation-based models have been used for generating dispatch lists in scheduling related activities. Currently, there is a growing interest to break away from viewing simulation narrowly as a predictive tool. This paper introduces the concept of backward simulation as a means of determining a required current state based on a desired goal state. This concept is developed into a procedure for generating component release plans based on a master production schedule. Details of this approach are presented.","PeriodicalId":177234,"journal":{"name":"Proceedings of 1993 Winter Simulation Conference - (WSC '93)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124993343","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":"The Modeling Methodology, Model Specifications and Development of Cast: Case/architecture Simulation Integration","authors":"A.J. Almanzor, P. Work","doi":"10.1109/WSC.1993.718304","DOIUrl":"https://doi.org/10.1109/WSC.1993.718304","url":null,"abstract":"This paper discusses the CASE/Architecture Simulation Integration (CASI, pronounced \"CASEY\"), methodology for integrating performance engineering architectural modeling information with CASE-based systems requirements analysis and design. The CASI approach is to embed data structures within a CASE tool so that the output of the CASE tool can serve as an input to an architectural modeling tool. Portions of a sample model, developed to show how the CASI data structures are embedded within the CASE based model, are presented. Also discussed are potential future directions where the CASI methodology may evolve.","PeriodicalId":177234,"journal":{"name":"Proceedings of 1993 Winter Simulation Conference - (WSC '93)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128736928","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}