{"title":"Simulation models of material delivery systems","authors":"V. Jeyabalan, N. Otto","doi":"10.1109/WSC.1991.185634","DOIUrl":"https://doi.org/10.1109/WSC.1991.185634","url":null,"abstract":"One important aspect of JIT (just-in-time) manufacturing is the timely delivery of material from its arrival point at the facility to the point of processing. A simulation modeling method which captures the essentials of this process is described. This method was developed through several applications to actual systems. These applications cannot be modeled by simple simulation modeling constructs. Specialized modeling logic and constructs for truck arrival and unloading, moving material to an intermediate storage area, reloading the truck with empty containers, and feeding the production lines are presented. Several applications are discussed and used to demonstrate the types of issues and problems these models are capable of addressing.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122668784","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":"Super Simulation Shell for plants (steel industry)","authors":"Z. Muro","doi":"10.1109/WSC.1991.185626","DOIUrl":"https://doi.org/10.1109/WSC.1991.185626","url":null,"abstract":"Super Simulation Shell (SSS) is a simulation system based on KEE and SimKit from IntelliCorp. The purpose of SSS is to provide steel plant engineers with an environment in which they can easily build computer simulation models. These engineers have difficulties using existing systems to solve problems such as the determination of a transporter's potential, the number of machines, operation control, facility layout, and estimation of in-process inventory and lead time. SSS is based on the technologies of object-oriented programming; some of them are provided by KEE and SimKit, and others come from the concepts and components in steel plants. SSS also includes functions to easily input attributes on screen, to make animation for model validation, to suggest control strategies and to collect output data for analysis.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126440929","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 method for generating random cutting-tool requirement matrices for manufacturing systems simulation","authors":"D. Veeramani, M. Barash, James R. Wilson","doi":"10.1109/WSC.1991.185695","DOIUrl":"https://doi.org/10.1109/WSC.1991.185695","url":null,"abstract":"The authors describe a two-stage procedure for generating random cutting-tool requirement matrices (part type vs. tool type 0-1 incidence matrices) on the basis of expert opinions about the characteristics of such data. In the first stage, row-sums and column-sums of the tool requirement matrix are sampled from two user-specified multivariate normal distributions subject to the feasibility condition that the row- and column-sums yield the same grand total. In the second stage, the binary values of the matrix elements are determined by means of a heuristic. The resultant matrix reflects the desired characteristics, such as part type similarities and tool usage dependencies.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"87 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":"126186951","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 of perfect sequencing flexibility in a scheduling environment","authors":"T. J. Schriber","doi":"10.1109/WSC.1991.185631","DOIUrl":"https://doi.org/10.1109/WSC.1991.185631","url":null,"abstract":"The concept of sequencing flexibility and its potential importance in such scheduling environments as those of manufacturing systems is reviewed. The statement of a particular manufacturing problem is provided, requiring that a simulation model be built for use in studying the system performance under conditions of perfect sequencing flexibility when the rule used to dispatch jobs to machines is FRS (fewest remaining steps). A workable approach to modeling perfect sequencing flexibility is then described. Finally, a GPSS/H model illustrating the implementation of this approach in the setting of the stated problem is presented.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"2 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":"126193764","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 modeling for military logistics and supportability studies","authors":"C. John, R. E. Schultz","doi":"10.1109/WSC.1991.185650","DOIUrl":"https://doi.org/10.1109/WSC.1991.185650","url":null,"abstract":"Simulation has proven to be a valuable tool to make cost-effective credible recommendations to the government for a missile serviceable-in-service-time (SIST). SIST is the period of time that a missile may remain in operational use or storage before requiring recertification (a routine test and maintenance to assure the missile is operational) at a Naval Weapon Station (NSW) or depot. The supportability simulation model has proven to be a very useful and effective concurrent engineering tool. It has been able to provide the detailed information required in the format requested. The model has been validated and is providing credible results.<<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":"126635075","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":"Applying the simulation process: simulation study of HDA parts degreaser","authors":"Robert Kittell, A. Dunkin","doi":"10.1109/WSC.1991.185690","DOIUrl":"https://doi.org/10.1109/WSC.1991.185690","url":null,"abstract":"A methodology for performing a simulation study is defined. Specifically, ten steps in a simulation study are listed, defined, and briefly described. A case study on an automatic degreaser is then presented as a backdrop for illustrating the application of the methodology.<<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":"116015978","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":"Classroom goodness of fit testing using Microsoft Windows","authors":"D. Byrkett","doi":"10.1109/WSC.1991.185699","DOIUrl":"https://doi.org/10.1109/WSC.1991.185699","url":null,"abstract":"The author points out that the chi-square goodness-of-fit test and other statistical tests for comparing observed data with a theoretical distribution are not well supported by the popular statistical analysis packages such as SAS, SPSS, BMDP, and MINITAB. To overcome this limitation, he has written a PC-based program to support goodness-of-fit testing and has used it in his simulation class. The original version of this program was written as a typical, menu-oriented DOS application using the language True BASIC. This program was rewritten in the language C to run under the Microsoft Windows 3.0 operating environment. The author discusses the importance of goodness-to-fit testing in simulation and other stochastic modeling classes, describes the Windows 3.0 version of this program and its limitations, and discusses how this program can be used in a simulation class.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"28 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":"116371560","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":"SERVO: Simulation experiments with random-vector output","authors":"B. Schmeiser, Mark D. Scott","doi":"10.1109/WSC.1991.185707","DOIUrl":"https://doi.org/10.1109/WSC.1991.185707","url":null,"abstract":"The authors discuss statistical methods, system design, and examples for SERVO, a software package that supports simulation experiments having output data that are assumed to be a sequence of identically distributed random vectors. SERVO requires two types of input: a description of the model of interest and a description of the desired experiment. From this input, SERVO generates C-language code that when executed is the simulation experiment. The experiment automatically creates an output report with point estimators and associated standard errors for a variety of typical performance measures. The marginal performance measures include means, standard deviations, variances, mean squared errors, third and fourth standardized moments, and points on the distribution function; the joint performance measures are covariances and correlations.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"1 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":"122594281","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":"Environment partitioned distributed simulation of queueing systems","authors":"J. Comfort","doi":"10.1109/WSC.1991.185662","DOIUrl":"https://doi.org/10.1109/WSC.1991.185662","url":null,"abstract":"An extension of object-oriented design is used to design computer systems to simulate specific queuing networks, and the performance of these systems is estimated through simulation. Substantial speedups were obtained for all three queuing networks. In addition, sensitivity tests were performed on communication and interface attributes of the system. It is noted that environment partitioned simulation appears to provide an effective means of substantially reducing the run time of queuing simulation programs. The simulated results presented for the CR5 and MMc systems are impressive, and should carry over into any queuing simulation composed of the three standard objects used.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"13 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":"123367789","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":"Computer simulation: an important tool in the fast-food industry","authors":"A. K. Kharwat","doi":"10.1109/WSC.1991.185689","DOIUrl":"https://doi.org/10.1109/WSC.1991.185689","url":null,"abstract":"The author discusses the role of computer simulation at Pizza Hut, and describes the characteristics of the simulation models. It is noted that through the use of simulation production and service aspects of Pizza Hut restaurant and delivery unit operations can be examined relative to staffing levels, equipment layout, workflow, customer service, and capacity. This permits optimization of methods through interactive what-if analysis on a computer, prior to actually introducing them to the field. A general-purpose SIMAN simulation model and multiple CINEMA animations were developed. Attention is given to model development and implementation, and to model verification/validation.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"85 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114117738","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}