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The Computer Integrated Manufacturing Laboratory is a constituent laboratory of the Institute for Systems Research at the University of Maryland.

Simulation Optimization for Manufacturing System Design

Project Team:

This material is based upon work supported by the Semiconductor Research Corporation and the National Science Foundation under grant number DMI 9713720. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Project Summary

One of the challenges that are faced by manufacturing organizations is equipment selection. The problem explored here is to minimize the expected cycle time of jobs through a production line by choosing the appropriate number of tools of various types for each workstation in the line. Due to the stochastic nature of the objective function, discrete-event simulation is used to evaluate the cycle time. The project implements a set of algorithms and compares their performance on a large data set of problem instances.

Use the following link to access the Microsoft Excel file that contains data sets with the problem instances: datasets.xls (300KB).

Related Reports

Last updated by Jeffrey W. Herrmann, November 3, 2003.

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