No abstract available.
Simulation's role in project development (Panel 1)
This panel will discuss some of the factors which bear on the problem of placing simulation in its proper perspective in a total project development effort. The process of how management evaluates whether or not simulation is a viable management aid to ...
Discrete-event simulation in the engineering/construction industry
The conceptual and construction procedure planning process for modern major resource development projects represents a challenging problem in scheduling, logistics and resource allocation. The large capital investment, the magnitude of many of the ...
“Experience with simulation models”
Mr. Bratz will comment on two simulators which have been developed and used by Bay Area Rapid Transit District, one which was created for the purpose of designing the system and the other which was created to test the design.
Behavioral and learning models
- Paul F. Wyman,
- John W. Slocum,
- Richard Reed,
- F. D. Tuggle,
- F. H. Barron,
- R. O. Day,
- W. W. Menke,
- Daniel N. Braunstein,
- John V. Dutton,
- Austin Hoggatt,
- John F. Lubin,
- Martin Shubik,
- G. Arthur Mihram
Currently, the most challenging aspect of simular methodology is the representation of the behavior and decision processes in animals, including man. One approach, especially suited for miming human decision-making, is the construction of gaming models, ...
Towards a simulation model of motivation and adjustment
A model of human motivation is formulated on the basis of Maslow's need theory. Additionally, behaviors are selected by degree of tension and are reinforced by environmental reactions which facilitate or frustrate reduction of tension according to the ...
Simulation of an individual making decisions under uncertainty
A computer simulation model, SIDIP (Simulation of Individual Decisions through Information Processing), of a person making nine decisions under uncertainty is sketched. Eight of a subject's (S's) choices are consistent with the Laplace or maximize ...
Identification of viable biological strategies for pest management by simulation studies
Interdisciplinary research by management scientists and entomologists at the University of Florida has developed a stochastic computer model for studying interactions between an insect population, its host food crop, and other variables. This population ...
Simulation methodology (Papers Session)
This session treats methods and techniques in the utilization of simulation models. Applications methodology is explored in the first paper, which employs simulation as a tool to validate an analysis via the discussion of multiple-sequence random number ...
Use of simulation to test the validity and sensitivity of an analytical model
The purpose of the research reported here was to test formally the validity of some assumptions made in solving models by analytical techniques and to test the sensitivity of the system to the arrival distribution. The presentation refers to a simplified ...
Multiple sequence random number generators
Many discrete event simulation models utilize a single random number sequence, regardless of the number of random variables included in the model. This paper illustrates the advantages of utilizing a unique random number sequence for each random ...
A “WAIT UNTIL” algorithm for general purpose simulation languages
Modern simulation languages such as SIMSCRIPT II and SIMULA 67 are very powerful general purpose languages which contain facilities to handle lists and to schedule events in simulated system time (imperative sequencing statements). These languages do not ...
Inventory and distribution models
- David R. Anderson,
- Brian D. Sellers,
- Lynn E. Bussey,
- M. Palmer Terrell,
- Donald A. Heimburger,
- Kailash M. Bafna,
- Roland Young,
- Ernest Koenigsbert
Inventory control is one of the “classical” problems areas for quantitative analysis. Inventory and distribution systems have been subjected to analysis using simulation since the advent of medium size computers. In this session the emphasis is on ...
Simulation of sequential production systems with in-process inventory
This paper presents simulation results from a general sequential production system. The results are used to establish the effect of service time variability and to estimate minimum cost-in process inventory capacities.
A model for analyzing closed-loop conveyor systems with multiple work stations
This paper presents the modeling methodology incorporated in a GPSS/360 program to simulate and test the operation of a generalized recirculating conveyor-supplied system, consisting of loader, conveyor, and multiple work stations. Features of the ...
A cased goods Conveyor simulator
The SIMSCRIPT Conveyor Program (SIMCON) models the flow of cased goods through an accumulating powered belt conveyor system. The program is almost totally general with all configuration descriptions and parameters being read into the model as input data. ...
A simulator for designing high-rise warehouse systems
This paper presents a simulator to evaluate alternative designs of high-rise warehouse systems using stacker cranes to permit system cost minimization while satisfying design constraints and specifications. There are no warehouse size restraints on its ...
Fundamental GPSS tutorial
Approach to modeling in GPSS. Fundamental GPSS blocks, including GENERATE, TERMINATE, SIEZE and RELEASE, ADVANCE, and QUEUE and DEPART. A GPSS “case study” model for a one-line, one- server queuing system. Internal logic of the GPSS processor, including ...
On the application of user chains in GPSS
The GPSS Processor uses a Current Events Chain, Future Events Chain, Interrupt Chains, and Matching Chains to support the logic of a GPSS simulation. These chains, which are an implicit part of the language, are automatically maintained and manipulated ...
Health services (Session 4)
Simulation in the health services has seen increasing use. While many papers have been written, only a few have cited the monetary savings which the application of the technique has created. Two of the papers in this session fall into this latter ...
An evaluation of expanded function auxiliaries in general dentistry
A simulation model of private dental practice has been developed to evaluate the effects of introducing expanded function auxiliary personnel. The model permits the experimental investigation of a variety of staffing patterns and facility configurations. ...
The use of computer simulation in health care facility design
In this paper a decision-making tool for managers of hospitals and health care facilities, the management sciences technique of computer simulation modeling, is introduced. Its benefits as a planning and evaluative tool for hospital managers is ...
A simulation model of a University Health Service Outpatient Clinic
This paper focuses on the development of a simulation model of a University Health Service Outpatient Clinic the implementation of which has resulted in significant improvements to system performance. The details of these improvements are published ...
Simulation methodology II
- William E. Biles,
- J. W. Schmidt,
- R. E. Taylor,
- V. Chachra,
- Michael A. Crane,
- Donald L. Inglehart,
- Grace Carter,
- Michael Stonebraker
This session focuses on new techniques to assist practitioners of simulation in obtaining desired results efficiently. Many such users are attempting to find optimum performance of a simulated system. In this situation, the problem of selecting a ...
Constrained sequential-block search in simulation experimentation
This paper describes the application of sequential-block search techniques to simulation experimentation with constrained systems. Two basically different approaches are examined. One approach combines designed experiments, multiple regression, and ...
Optimization of simulation experiments
The basic objectives of this paper are two-fold. The first objective is to illustrate the use of three multivariable optimization techniques as they are applied in an interactive fashion to the optimization of simulation experiments. The second and more ...
A new approach to simulating stable stochastic systems
A technique is introduced for analyzing simulations of stochastic systems in steady-state. Confidence intervals are obtained for a general function of the steady-state distribution.
Manufacturing applications
- M. J. Maggard,
- W. G. Lesso,
- G. L. Hogg,
- D. T. phillips,
- Carter L. Franklin,
- J. Douglas DeMaire,
- M. M. Patel,
- J. M. Panchal,
- M. T. Coughlin,
- Willaim L. Berry,
- John W. O'Leary
The objective of this session is to bring together a wide range of new concepts in manufacturing simulation to stimulate discussion and interest. The concepts involve the strategic and tactical decisions that are made during the course of a successful ...
Using an extended version of GERT to simulate priority and assignment rules in a labor limited jobshop system
In the literature, prior to 1965, most research on jobshop systems was on machine limited queueing systems. More recently this research has been directed toward labor and machine limited queueing systems. In this direction, the authors have developed and ...
Evaluating job shop simulation results
The problem of predicting the effectiveness of simulation results as applied to job shop production is discussed. A measure of effectiveness is developed which allows both absolute and relative evaluation of different scheduling techniques and the ...
Simulation applied to a manufacturing expansion problem area
This study uses computer simulation to arrive at a specific answer to a critical problem area in a capital intensive manufacturing environment. A Casting Plant is being expanded due to growth in business. The logistics of the operation are such that an ...
Index Terms
- Proceedings of the 6th conference on Winter simulation
Recommendations
Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
WSC '18 | 260 | 183 | 70% |
WSC '15 | 296 | 202 | 68% |
WSC '14 | 320 | 205 | 64% |
WSC '12 | 384 | 189 | 49% |
WSC '11 | 270 | 203 | 75% |
WSC '10 | 281 | 184 | 65% |
WSC '09 | 256 | 137 | 54% |
WSC '08 | 304 | 249 | 82% |
WSC '07 | 244 | 152 | 62% |
WSC '06 | 252 | 177 | 70% |
WSC '05 | 316 | 209 | 66% |
WSC '04 | 171 | 144 | 84% |
WSC '03 | 189 | 128 | 68% |
WSC '02 | 185 | 166 | 90% |
WSC '01 | 155 | 111 | 72% |
WSC '99 | 206 | 139 | 67% |
WSC '98 | 216 | 164 | 76% |
WSC '97 | 191 | 121 | 63% |
WSC '96 | 187 | 128 | 68% |
WSC '95 | 183 | 122 | 67% |
WSC '94 | 209 | 100 | 48% |
Overall | 5,075 | 3,413 | 67% |