NDLI: Simulation at Digital Equipment Corporation: the process expert as simulation expert

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A concise history of the ups and downs of simulation

Introduction to simulation

Designing computer simulation experiments

Analysis of simulation output to compare alternatives (tutorial)

Rapid modeling tools for manufacturing simulation and analysis

A tutorial on validation and verification of simulation models

Simulation of manufacturing systems

Applying the simulation process

Discrete, continuous, and combined simulation

Introduction to SIMAN

Perspectives on simulation using GPSS

SLAM II tutorial

Modeling and simulation applied to communications systems

Introduction to SIMNET v2.0

Simulation modeling and analysis with INSIGHT: a tutorial

Factory planning and production analysis using SIMFACTORY

SIMSCRIPT II.5 and SIMGRAPHICS: a tutorial

C based discrete event simulation support system

GPSS/PC graphics and animation

A tutorial on TESS: the extended simulation support system

The SIMPLE_1 simulation environment

New advanced features of GPSS/H

NETWORK II.5 tutorial NETWORK II.5 without programming: NETWORK II.5—without programming

Telecommunication network analysis with COMNET 11.5

Input modeling with the Johnson system of distributions

Animation with CINEMA

A tutorial on UNIFIT: an interactive computer package for fitting probability distributions to observed data

The MAST simulation environment analyzing low frequency inventory systems

Distributed simulation

Heterogenous distributed simulation

The object library for parallel simulation (OLPS)

The methodology roles in the realization of a model development environment

Towards an implementation of a knowledge-based system design and simulation environment

Large project simulation: a powerful tool for project management analysis

Automatic programming assistant for network simulation models

Using CSIM to model complex systems

Hierarchical, modular simulation modeling in icon-based simulation program generators for manufacturing

Constraint-based user interfaces for simulations

The role of animation in decision-making

A prespective on object-oriented simulation

Systems theory instrumented simulation modeling

The implementation of four conceptual frameworks for simulation modeling in high-level languages

Wolf: a rollback algorithm for optimistic distributed simulation systems

High performance parallelized discrete event simulation of stochastic queueing networks

A unified modeling methodology for performance evaluation of distributed discrete event simulation mechanisms

A spectrum of options for parallel simulation

Implementation parallelized queueing network simulations using FORTRAN and data abstraction

Automatic development of parallel simulation models in ADA

Modeling viewpoints for assessing reliability

On system, several perspectives, many models

Intelligent simulation environments: identification of the basics

Improving digital circuit simulation: a knowledge based approach

Modeling qualitative issues in military simulations with the RAND-ABEL language

Search and rescue: a case study of design flexibility

State event in combined simulation

Computer aided and Petri net design for decision-making organizations

Validation: expanding the boundaries (panel session)

Small-sample theory for steady state confidence intervals

Minimal-MSE linear combinations of variance estimators of the sample mean

Confidence intervals and orthonormally weighted standardized time series

Generating sums in constant average time

Linear congruential generators of order K>1

On selecting the best of k systems: an expository survey of subset-selection multinomial procedures

Indifference-zone selection procedures for choosing the best airspace configuration

Optimization over a finite number of system designs with one-stage sampling and multiple comparisons with the best

A comparison of confidence region estimators for multivariate simulation output

Multivariate estimation and variance reduction in terminating and steady-state simulation

Covariance of regenerative mean and variance estimators for Markov chains

Comparison methods for fitting data using Johnson translation distributions

Bootstrap and correlated data

Bootstrap in time series models

Variance reduction in mean time to failure simulations

Stochastic flow networks: how component criticality changes with component reliability

Simulation graphs

Using perturbation analysis for gradient estimation, averaging and updating in a stochastic approximation algorithm

Performance continuity and differentiability in Monte Carlo optimization

Smoothed perturbation analysis algorithm for a G/G/1 routing problem

An algorithm for testing serial dependence of simulation output data

Stratified sampling in the simplex with applications to estimating distributions

Initializing for bias reduction: some analytical considerations

Some extentions and limitations of frequency domain experiments

The global simulation clock as the frequency domain experiment index

Alternative methods for generating and analyzing the output series of frequency domain experiments

Analysis of different AGV control systems in an integrated IC manufacturing facility, using computer simulation

Simulation of discrete conveyor systems

Bridging the gap: transferring logic from a simulation into an actual system controller

Performance analysis of automatic storage and retrieval systems—a comparative approach

Simulation analysis of narrow-aisle order selection systems

Why a single aisle miniload system is not simple to model

A generic simulator for continuous flow manufacturing

Transforming a traditional manufacturing system into a just-in-time system with kanban

Simulation modeling of just-in-time assembly systems using an information-based methodology

Simulation at Digital Equipment Corporation: the process expert as simulation expert

The project approach to simulation language comparison

A statistical method for generating order information for simulation modeling and analysis

Simulation of a finished goods allocation system

Capacity choice, work-in-progress inventory and throughput: a simulation study

Analysis of low inventory manufacturing using MIM

Analysis of a factory of the future using an integrated set of software for manufacturing systems modeling

Steel product transportation and storage simulation: a combined simulation/optimization approach

Integrating a modified simulated annealing algorithm with the simulation of a manufacturing system to optimize buffer sizes in automatic assembly systems

Rapid modeling: implications for business planning

A preliminary group technology classification scheme for manufacturing simulation models

Simulation in a CIM environment: structure for analysis and real-time control

Discrete-event simulation of wafter fabrication facility

JIT, truck docks, and simulation

A forum on selecting simulation/animation software for manufacturing (panel)

A development methodology for adding map-based graphics to the theater war exercise

Utilizing abstraction and perspective in battle simulation

Air operations modeling in a wargaming environment

Simulation: the correct approach to complex availability problem]

A logistics model of Coast Guard buoy tending operations

A space logistics simulation implementation in Ada

Performance analysis of a generic naval $C^{2}battle$ group system by use of timed Petri nets

Validation methodologies for complex, hybrid, HWIL, 6DOF missile simulations—a structured approach

EW-GEMS: system concepts and development process of an electronic warefare simulation

Validation of a simulation model of the national airspace system

Simulating the national airspace system

Airline performance modelling to support schedule development: an application case study

Comparison of an unsaturated soil zone model (SESOIL) predictions with a laboratory leaching experiment

Fox river locks SLAM simulation model

A comprehensive agricultural system simulation model: the case of broiler growers

A simulator for asynchronous hypercube communications

A simulation of a store-and-forward distributed network of transputers

On modeling local area networks

A graphical simulation environment for stochastic investment analysis

Warranty cost estimation using simulation

Using simulation to determine the costs of offering caps on adjustable rate mortgages

Teaching simulation in school of busines (panel session)

Simulation education (panel session)

Teaching simulation with Σ

Using an enhanced general-purpose language for teaching simulation

CONVERSIM: a teaching simulation language incorporating a conversational model builder

Easy-to-use simulation ”packages“ (panel): what can you really model?

Continuous system simulation languages (CSSL's)

Simulation and material handling system design (panel)

Simulation at Digital Equipment Corporation: the process expert as simulation expert

Content Provider	ACM Digital Library
Author	O'Loughlin, Michael J. Meagher, Michael T. Harper, Richard J.
Abstract	Manufacturing process simulation has long been the domain of mathematicians, operations researchers, and consultants; a relatively small, exclusive group of expert practitioners. Consensus has held that only these individuals can successfully practice the craft of simulation. This thinking persists, even today. There are still many manufacturers who believe they can not apply simulation techniques to their operations without prohibitive investments in time, personnel, and money. To most manufacturers, a simulation project requires hiring a simulation expert as a consultant.Certainly, there are occasional situations in which the easiest, most cost effective solution is to employ an external consultant to perform the required analysis. Perhaps time constraints do not allow for the evaluation, justification, and training required to bring a tool in-horse. However, as global competition increases and manufacturing moves toward the twenty first century, the practice of hiring consultants must become the exception rather than the rule. The use of simulation and other analytical tools must become standard operating procedure if a manufacturer is to survive. This requires fundamental changes in the way we do business.There are several risks inherent in the practice of hiring consultants to perform analyses: the process is enormously time consuming because the consultant must set out to gather critical data with the possibility of having no understanding of the process(es) in question. This drives up project cycle times and, therefore, costs. And, because the consultant may have an inadequate understanding of the system, the study can easily fail to generate viable, dependable results. Simply stated, a simulation study is only as good as the data upon which it is based. Finally, the consultant walks out the door, taking with him all of the hands-on understanding of the project. It is at this point that the cycle perpetuates itself. The technology has not been transferred into the firm in this example, it has merely been visited upon it.In this paper, the authors will discuss the program that is being used at Digital Equipment Corporation (Maynard, MA) to facilitate the transfer of simulation and other like technologies into the hands of the people who can make the best use of them — our manufacturing personnel. Further, we will discuss how the relationship between manufacturing industries and the aforementioned traditional practitioners of simulation can and must evolve. This evolution is critical to United States' industry remaining competitive in the exploding global marketplace.
Starting Page	629
Ending Page	635
Page Count	7
ISBN	0911801421
DOI	10.1145/318123.318284
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1988-12-01
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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