{"title":"Generating correlated random variables for quality control applications","authors":"A. Vasilopoulos","doi":"10.5555/800042.801453","DOIUrl":"https://doi.org/10.5555/800042.801453","url":null,"abstract":"A great deal of data in business, economics, engineering, and the natural sciences occur in the form of time series, where observations are dependent. In such cases, identification techniques may be used to identify a specific model and the likelihood function can be used to provide maximum likelihood estimates of the model parameters. It may also be desirable to generate a sequence of numbers x1, x2,...,xn so that the individual xi's have specified univariate distributions and the correlations ρij between xi and xj are specified by the modeler. \u0000 \u0000For quality control applications, when the charting variable is the sample standard deviation s, the control limits are functions of E (s) and std (s). In this paper the density function of s is derived for n=2 and n=3, and a sequence of random numbers is generated which possesses that density function. For n ≥ 4 the density function f(s) becomes extremely complicated and other methods have to be used.","PeriodicalId":186490,"journal":{"name":"Annual Simulation Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1983-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127972408","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":"Production modeling with PRISIM","authors":"L. Rose","doi":"10.5555/800042.801448","DOIUrl":"https://doi.org/10.5555/800042.801448","url":null,"abstract":"This paper describes a software modeling facility that has been developed to provide a powerful and general capability in the production systems simulation area. Based upon the Gasp simulation language, this facility enables one to independently define the five major facets of a production system simulator: workload, workflow, factory operations, factory network configuration, and resource requirements. This simulator is being used to investigate production anomolies, to approximate resource requirements, and to assess production capabilities under varying environmental scenarios. It has proved to be a flexible, valuable tool for the simulation of job-shop activities for factory network configurations using man and machine resources.","PeriodicalId":186490,"journal":{"name":"Annual Simulation Symposium","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1983-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132504950","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":"Inflight software simulation of the Harpoon missile","authors":"James V. Leonard, J. Soderberg","doi":"10.5555/800042.801452","DOIUrl":"https://doi.org/10.5555/800042.801452","url":null,"abstract":"A brief overview of the Harpoon missile system is given. Previous means of implementing a simulation of the Harpoon are reviewed. Utilizing the General Purpose Digital Computer, GPDC, and mission software onboard the S-3B in conjunction with the Harpoon launch equipment and a flight shorting “simulation” connector, simulation of the Harpoon missile is accomplished. Comparisons are made between the S-3B/Harpoon simulation techniques and Harpoon simulation on other aircraft.","PeriodicalId":186490,"journal":{"name":"Annual Simulation Symposium","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1983-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126580217","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}
Edward M. Buturla, C. Hawkins, D. Seligson, M. Pope
{"title":"The prediction of pathologic fracture in patients with metastatic cancer","authors":"Edward M. Buturla, C. Hawkins, D. Seligson, M. Pope","doi":"10.5555/800042.801447","DOIUrl":"https://doi.org/10.5555/800042.801447","url":null,"abstract":"PATHOLOGICAL FRACTURES RESULTING FROM NEOPLASMS WITHIN THE FEMUR ARE DISASTROUS TO ALL PARTIES INVOLVED AND IN MANY CASES COULD BE AVOIDED GIVEN EARLY DETECTION AND PREDICTIVE VALIDITY WITH RESPECT TO THE EXTENT OF THE LESION. IN PARTICULAR, PATHOLOGICAL FRACTURES OCCUR IN THE SUB- AND INTERTROCHANTERIC REGIONS OF THE FEMUR AS THESE ARE REGIONS OF UNIQUE STRESS CONCENTRATIONS AND FREQUENT SITES OF METASTASES. APPLICATION OF FINITE ELEMENT MODELING HAS PROVIDED GREATER UNDERSTANDING OF LOAD TRANSMISSION AND SHEAR PROPERTIES THROUGHOUT THE FEMUR (REFERENCES 5 AND 17). OONISHI AND HASEGAWA (1982) USED A TWO-DIMENSIONAL FINITE ELEMENT ANALYSIS TO INVESTIGATE DIFFERENT STRESS PROPERTIES OF CORTICAL AND CANCELLOUS BONE REGIONS OF THE FEMUR, INTUITIVELY, BECAUSE THE FEMUR IS ASYMMETRICAL AND CURVED IN EACH PLANAR AXIS ONE WOULD EXPECT A THREE-DIMENSIONAL MODEL TO BE MORE GENERALIZABLE TO A REAL-WORLD SITUATION. CROWNINSHIELD (1980) DEVELOPED A USEFUL 3-D MODEL TO RESOLVE GEOMETRICAL PROBLEMS INCURRED WITH TOTAL HIP RECONSTRUCTION. WITH THIS MODEL, AS ANY FINITE ELEMENT ANALYSIS, A GREATER NUMBER OF NODAL POINTS AND ELEMENTS YIELDS A MORE ACCURATE RESOLUTION OF LOAD STRESS/DISPLACEMENTS. THE PRESENT STUDY UTILIZED THESE AND OTHER FACTORS IN SIMULATING A FEMUR PRESENTING METASTATIC LESIONS OF THE SUB- AND INTERTROCHANTERIC REGIONS. REMOVAL OF ELEMENTS IN THESE AREAS ALONG WITH THEIR INHERENT STIFFNESS/SUPPORT PROPERTIES TO THE MODEL THUS SIMULATED THE EFFECT OF NON-SUPPORTIVE TUMOR WITHIN OTHERWISE HEALTHY BONE.","PeriodicalId":186490,"journal":{"name":"Annual Simulation Symposium","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1983-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114581483","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":"Graphic model building system","authors":"Yoshikazu Yamamoto, Mats Lenngren","doi":"10.5555/800042.801456","DOIUrl":"https://doi.org/10.5555/800042.801456","url":null,"abstract":"An interactive Graphic Model Building System (GMBS) for discrete event simulation is presented. The GMBS is designed so as to be used even for unexperienced users who have no previous knowledge about neither modeling nor simulation languages. We introduce a new concept in which a model is divided into two specifications, that is, structural relations between system components and description of the logical behavior of each component.","PeriodicalId":186490,"journal":{"name":"Annual Simulation Symposium","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1983-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126342006","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 detailed interactive simulation system for developing command and control systems","authors":"K. Trott, F. K. Frantz","doi":"10.5555/800042.801446","DOIUrl":"https://doi.org/10.5555/800042.801446","url":null,"abstract":"The Dynamic Ground Target Simulation (DGTS) system is a real-time interactive simulation system which produces detailed scenarios of military unit activity. DGTS is composed of three subsystems: a Model Construction Subsystem, which uses a Pascal-based discrete event simulation language, a Data Preparation Subsystem, and a Scenario Generation Subsystem, which executes a model according to a specific set of orders and allows it to be interactively manipulated. DGTS has been used to generate scenarios of varying size and scope.","PeriodicalId":186490,"journal":{"name":"Annual Simulation Symposium","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1983-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124416019","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":"Fast hardware random number generator for the Tausworthe sequence","authors":"Meir Barel","doi":"10.5555/800042.801454","DOIUrl":"https://doi.org/10.5555/800042.801454","url":null,"abstract":"Many simulation programs require m-dimensional uniformly distributed random numbers. A linear recurrence modulo two generator, based on N-bits and producing L-bit numbers (L ≤ N), according to Tausworthe theory, may yield a sequence of m-tuples uniformly distributed in m e (N/L) dimensions. When using software computing algorithms on a binary computer, for large N (e.g. N e 159), the generation speed is for many purposes too slow. To overcome this disadvantage we present a new concept of a hardware random number generator, to give the Tausworthe sequence with high generation speed independent of the number of bits per word N. For a 32-bit data word computer we have performed statistical tests on three generators, two of them gave good results.","PeriodicalId":186490,"journal":{"name":"Annual Simulation Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1983-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130686754","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":"MX Fiber Optics Cable Data Network message traffic simulation","authors":"Elizabeth Y. S. Kung","doi":"10.5555/800042.801464","DOIUrl":"https://doi.org/10.5555/800042.801464","url":null,"abstract":"The proposed MX MPS Fiber Optics Cable Data Network would interconnect over 4600 facilities and cover and area of 12000 to 15000 mi2. One of the important factors in the design of such a large network is the traffic created by the various messages flowing through the network. This paper describes the simulation of the proposed network structure, the different kinds of messages flowing through it, and the message routing mechanism. The performance of the network for different scenarios is evaluated using the simulation. Some of the performance parameters examined are: potential bottlenecks, the propagation time for each kind of message, the queue statistics, and the results of down lines and nodes in the network. Although this particular MX basing concept is no longer being considered, the simulation techniques developed are directly applicable to analysis of other large communications networks.","PeriodicalId":186490,"journal":{"name":"Annual Simulation Symposium","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1983-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126437934","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 discrete event simulation for the management of surgical suite scheduling","authors":"Alfred W. Jones, V. Sahney, A. Kurtoğlu","doi":"10.5555/800042.801463","DOIUrl":"https://doi.org/10.5555/800042.801463","url":null,"abstract":"This research into operating room scheduling procedures led to the development of an interactive simulation model written in the simulation language SLAM II. It serves as part of a larger decision support system for the management of hospital surgical suites. The paper presents the problem in detail, describes the systems model, gives an example for a suite of eight rooms and twelve surgical type operations, and shows the structure of the coding. The methods presented here have wide applicability and may be used whenever one is concerned with scheduling policies involving advanced bookings.","PeriodicalId":186490,"journal":{"name":"Annual Simulation Symposium","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1983-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133961355","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":"GMSS graphic modelling and simulation system","authors":"R. R. Willis, W. Austell","doi":"10.5555/800042.801455","DOIUrl":"https://doi.org/10.5555/800042.801455","url":null,"abstract":"GMSS is a simulation modelling system providing a tool kit of functions to support the automation needs of simulation analysis. The goal of GMSS is to put simulation modelling into the hands of the decision maker.","PeriodicalId":186490,"journal":{"name":"Annual Simulation Symposium","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1983-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117071241","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}