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Simulation modeling with insight
Using INSIGHT, simulation models can be built and evaluated with less time and effort than previously possible. INSIGHT defines a vocabulary for systems analysis and provides a small set of modeling symbols to represent the basic processes found in real ...
Simulation: An overview
Simulation is one of the most powerful analytical tools available to managers of complex systems.
We define what simulation is and what it is not.
We will define simulation as the process of designing a model of a real system and conducting experiments ...
Manufacturing
The introductions are intended to highlight panel members' job responsibilities as they relate to manufacturing applications of simulation. In addition, a brief outline will be given on each IBM organization represented and how the panel members fit in ...
Simulation methodology: Statistical aspects
The present paper, of a tutorial nature, relates the literature of our simulation methodology since the publication of SIMULATION: STATISTICAL FOUNDATIONS AND METHODOLOGY [Academic Press, 1972 (1970)]. Explained will be the expansion of its Principium ...
A Bayesian batch means methodology for analysis of simulation output
The purpose of this research is to investigate the use of Bayesian methodology in the analysis of simulation output. Specifically, the Bayesian methodology is introduced in the context of the batch means procedure for building a confidence interval for ...
On the role of generalized semi-Markov processes in simulation output analysis
A generalized semi-Markov process (GSMP) is a stochastic process description of a large class of discrete-event simulations. GSMP's are defined, and some basic properties of GSMP's are described. It is argued that GSMP's provide a convenient frame-work ...
An integrated model of drilling vessel operations
A combined discrete-event/continuous/process-interaction simulation model has been developed to evaluate the effects of weather and supply-ship availability on off-shore drilling operations at a specified location and time of year with a specified ...
The “tell-us-the-answer-you-want” problem
This paper describes a simulation model of the Trans-Panama Pipeline. The pipeline is used to transport crude oil between tankers in the Pacific and Atlantic Oceans. The model represents in many senses a classical queuing system, with vessel delay times ...
“Determining operational policies for oil flow and tanker loading through simulation”
In this paper the use of simulation in addressing the specific needs of one oil company's tanker scheduling problem is examined. The situation is actually more involved than simply tanker scheduling. The flow of oil from the wells to the storage ...
Representation and modeling of distributed computer systems
The general problem of the representation and performance-oriented modeling of the behavior of distributed computer systems is discussed. A description of an integrated System Design/Static and Dynamic Modeling (SD/SDM) tool set is presented. In SD/SDM, ...
A network interface unit simulation using micro passim
This paper describes how micro PASSIM, a GPSS based simulation system, was transported from the Apple II to the HP 9836. The problems associated with moving a large program form one UCSD Pascal system to another are discussed. Micro PASSIM was ...
Simulating the univac 1100/82 using univac 1100/22 characteristics
The work described in this paper was performed by The MITRE Corporation for the System Engineering Branch of the Network Control Center Division of NASA's Goddard Space Flight Center. The objective of the work was to evaluate the adequacy of a U1100/82 ...
Introduction to GPSS
Summary information about key aspects of the simulation programming language GPSS is provided. The class of problems to which GPSS applies especially well is described; commentary on the semantics and syntax of the language is offered; the learning-...
Modeling systems using discrete event simulation
In this article, we present an introduction to discrete event modeling and discuss some of the important issues related to model development. We are not talking about simulation codes nor statistical models for the outputs from such programs. Rather we ...
Simulation methodology: Lessons of the Past, Challenges for the Future
This panel discussion is patterned after a similar session held at the recent Annual Meeting of the Society for General Systems Research, held in Detroit (May, 1983). The objective of that panel session was to raise the level of awareness of systems ...
Generating multivariate distributions for statistical applications
Methods for generating random vectors from multi- variate distributions are required in a variety of statistical research contexts. Examples of topics include examination of the robustness of multivariate tests such as Roy's largest root test, ...
Fitting Johnson curves to univariate and multivariate data
Moment matching and percentile matching are the standard methods for fitting a distribution from Johnson's translation system (the SL, S U, S B, and S N families) to a univariate data set (Johnson and Kotz 1970). One method for fitting a multivariate ...
Advances in parameter estimation from event count data
In modeling a system, identifying the times at which the state of the system changes is important. In particular, the probability distributions of the interevent times (time lengths between consecutive events) of each process (such as interarrival times)...
The factory of the future and simulation: An overview
The Factory of the Future is possible with current hardware and software technology. It may include many different components but such manufacturing complexes must be planned, designed, and operated as coordinated systems. They will be information ...
On the use of simulation models to evaluate alternative schedules
The work presented here today is based on a simulation model of a portion of one of our stamping plants. The presentation begins by briefly describing a typical section of the stamping plant and the scheduling environment in which the plant operates. ...
Simulation, manufacturing and graphics
The simulation of material movement, equipment location, operating and scheduling rules is a powerful tool for the design of state of the art automated manufacturing facilities. This paper describes a software system (AutoGram) that allows the designer ...
An open queueing network view of computer system performance
ACMS is a modeling system which translates user-supplied hardware and software descriptions into an activity network and then uses open network queueing theory approximations to estimate the time required for transactions to pass through the network. It ...
BWQUE - Interactive program for computer performance evaluation
BWQUE is an interactive queueing modeling package for computer performance evaluation; similar packages are available on the market, but BWQUE have special features, e.g., more general channel configuration, class priorities to any device, etc. The ...
Modelling constructs of simscript II.5
This tutorial will present the highlights of the SIMSCRIPT II.5 approach to building discrete event simulation models. The approach will be to construct a small example problem, implement the program in SIMSCRIPT II.5, and then to display the modularity ...
Simulation analysis
The use of a computer simulation model to learn about the system(s) under study must involve an analysis of the results from the simulation program itself. A classification of simulation types is given which provides a framework for a treatment of ...
Practitioners' views on simulation
The panelists are all actively engaged in applying simulation to a variety of systems. Their areas of application include manufacturing, electronics, steel, and health systems. The panel discussion will address issues relating to the practice of ...
Generating negatively correlated gamma variates using the Beta-Gamma transformation
The Beta-Gamma transform changes a Gamma distributed variate with shape parameter k into a Gamma variate with shape parameter q, where q is less than k. Using this transformation a scheme is given for generating negatively correlated Gamma variates, ...
Discrete univariate random variate generation
Most of the early research done in random variate generation is in the area of continuous distributions. Not until 1979 was research published on exact, uniformly fast discrete univariate random variate generation. Since then the state of the art of ...
Monotonic generation of positive random variables
This paper presents methods to invert efficiently the distribution function of an arbitrary positive random variable. Such methods preserve the monotonic relationship between the random variable and the uniform deviate which generates it. This ...
A GPSS model of a unit load AS/R system and shipping department
This paper describes a GPSS model of a unit load AS/RS (automated storage and retrieval system). The paper describes the system, the model, the input data analysis, the validation of the model, and the uses made of the model. Both transient and steady-...
Index Terms
- Proceedings of the 15th conference on Winter simulation - Volume 1
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% |