{"title":"General fast generation of random variables for discrete distributions","authors":"Theodore Brown","doi":"10.1145/1102850.1102858","DOIUrl":"https://doi.org/10.1145/1102850.1102858","url":null,"abstract":"Recently a new method, the alais method has been introduced for generating a discrete, finite valued distribution (1, 2). The method is exceptionally fast and can be broadly applied. It should have wide appeal. The purpose of this note is to introduce the method, place it in prospective with other fast, generally applied methods and to provide a Fortran program to generate constants needed by the method for any given distribution.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126272349","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":"Some experiences in interfacing a PL/I module with GPSS-V","authors":"D. J. Cooespoti","doi":"10.1145/1102850.1102860","DOIUrl":"https://doi.org/10.1145/1102850.1102860","url":null,"abstract":"While conductins a research project, it was necessary to make an extensive number of executions using two large GPSS-V models. In order to consolidate the statistics produced by GPSS from these runs, it was decided to interface a PL/I module with GPSS-V using the HELPCPLI block. The PL/I module accesses the GPSS data structures and writes information selected from them to a data set. The data set is then used to consolidate the statistics using separate PL/I programs. The following is a brief summary of some experiences encountered while attempting to achieve the interface.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122388453","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 effects of randomly generated disturbances and fiscal policy on an aggregate demand macroeconomic model","authors":"K. Klafehn, P. J. Kuzdrall","doi":"10.1145/1102850.1102854","DOIUrl":"https://doi.org/10.1145/1102850.1102854","url":null,"abstract":"This paper examines the effects of stochastic disturbances on the final output (GNP) of an economy. A GPSS econometric model was constructed, tested, and validated. Utilizing the model, various strategies (fiscal policies) were examined in an effort to reduce the variance in GNP that is caused by the random disturbances of the exogenous variable, fixed investment. The policy considerations were incorporated into the model using feedback mechanisms which predict GNP. The resulting impact of the strategies are discussed. This model lends insight to the economic planner to evaluate the alternatives in a dynamic framework as contrasted to the classical comparative static analysis.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130930762","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":"Analysis of simulation with common random numbers: a note on Heikes et al. (1976)","authors":"J. Kleijnen","doi":"10.1145/1102838.1102839","DOIUrl":"https://doi.org/10.1145/1102838.1102839","url":null,"abstract":"If different random number streams are used then traditional Analysis of Variance can be applied. However, the standard errors of the estimated effects should account for heterogeneity of variance. If common random numbers are used then the quite complicated procedure proposed by Heikes et al. in 1976, may be replaced by the simple Student t-statistic combined with the so-called Bonferroni - inequality. The statistical techniques are illustrated with a simple case study.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1979-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115300913","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 use of simulation modeling in determining Defense manpower","authors":"C. Ebeling","doi":"10.1145/1102838.1102842","DOIUrl":"https://doi.org/10.1145/1102838.1102842","url":null,"abstract":"Accurate determinations of manpower requirements of a combat unit such as a tactical fighter wing or a carrier task force is a stated goal of the Department of Defense. Such determinations must be defensible to both the Executive Branch (Office of Management and Budget and the President) and Congress. In order to assess manpower requirements under various combat conditions, the three services have adopted computer simulation models. While Monte Carlo simulation has provided a means of estimating wartime manpower, it has also introduced several problems which must be overcome if simulation is to continue to play an important role in assessing Department of Defense requirements. These problems have centered on the need for extensive computer and personnel resources, the lack of responsiveness to changing scenarios, the collection of reliable and accurate data, and the increasing complexity and sophistication of the models.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1979-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123044369","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":"VLSI circuit design supported by computer system simulation","authors":"J. Nelson","doi":"10.1145/1102838.1102841","DOIUrl":"https://doi.org/10.1145/1102838.1102841","url":null,"abstract":"Satisfying the enormous signal processing demands of space based sensors in the next decade is beyond the capability of integrated circuit technology as we know it today. However the performance promise of digital VLSICs (Very Large Scale Integrated Circuits) should make this problem soluble if the right device technologies, computational algorithms and computer architectures can be selected which best exploit VLSI for this application. In this space sensor signal processor design study, computer system simulation using the language ECSS (Extendable Computer System Simulator) proved to be the key to performing tradeoffs and developing designs which could meet the stressing demands for low power and high computational throughput.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1979-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126935482","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 equipment selection in a steel plant","authors":"P. Nassau","doi":"10.1145/1102838.1102843","DOIUrl":"https://doi.org/10.1145/1102838.1102843","url":null,"abstract":"A simulation model was developed to determine the optimal policy for utilization and replacement of moving equipment in a steel plant. Specifically, this paper deals with the problem of slag removal in a melt-shop composed of a batch of five electric-arc furnaces. The environment of high temperatures in which service has to take place leads to conditions of frequent equipment break-down and a dynamic rescheduling of activities, which makes the use of simulation a necessity. One important feature that was included in the model was the process of \"aging\", that is, that service time is a function of the number of minutes that the slag has been waiting for its removal.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1979-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125113766","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":"Simple simulation","authors":"Richard C. Wilson","doi":"10.1145/1102838.1102846","DOIUrl":"https://doi.org/10.1145/1102838.1102846","url":null,"abstract":"This paper describes an example of a network flow modelling approach for \"quick and dirty\" analysis of traffic dynamics in material handling systems. The example is based on a real installation. It serves to demonstrate potential for quickly comparing the design feasibility of alternate conveyor system layouts under dynamic loading before using specially programmed simulations.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1979-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124236544","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 profile of simulation modelers","authors":"Susan L. Solomon","doi":"10.1145/1102838.1102840","DOIUrl":"https://doi.org/10.1145/1102838.1102840","url":null,"abstract":"A paper discussing some issues germane to the preparation and interests of simulation professionals was published in the <u>Proceedings of the 1979 Annual Simulation Symposium</u>. A portion of the presentation at the Symposium was based on a questionnaire circulated at the 1978 Winter Simulation Conference and was compiled too late for inclusion in the <u>Proceedings</u> copy. The same questionnaire was distributed in registration packets at the 1979 Annual Simulation Symposium. The results of the latter survey have now been tallied. Some interesting similarities and differences present themselves. The questionnaire and results for the two groups are shown below. In each case, column 1 shows the percentage of the 35 Winter Simulation Conference attendees who responded affirmatively, while column 2 shows the comparable percentage of the 59 Annual Simulation Symposium attendees who responded affirmatively.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1979-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123090854","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 a queueing problem with balking","authors":"M. Tits, H. V. D. Veeken","doi":"10.1145/1102838.1102848","DOIUrl":"https://doi.org/10.1145/1102838.1102848","url":null,"abstract":"Queueing theory becomes considerably more complicated if impatient customers fail to join the queue, so-called balking. Analytical results have been obtained for the standard queueing problem (M/M/1) with balking, i.e., formulae have been derived for the expected queue-length and the expected waiting-time. This report describes an investigation into the general validity of these formulae. Since an analytical approach to the problem has so far proved to be unfeasible, simulation was used. We tried to construct an efficient simulation model. The model was analysed using regenerative properties - a technique which provides a solution to the problem of correlated simulation observations. The results we found were partly an extension of the standard queueing theory and partly an indication for further theoretical investigation.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1979-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131005438","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}