Application of neural networks and simulation modeling in manufacturing system design

    Authors

    M. Mollaghasemi; K. LeCroy;M. Georgiopoulos

    Comments

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    Abbreviated Journal Title

    Interfaces

    Keywords

    simulation, application; industries, computer; electronic; Management; Operations Research & Management Science

    Abstract

    Simulation modeling is often used in the design of manufacturing systems. With simulation modeling, however, the design process is a trial-and-error process; that is, an estimated "good" design is input to the model. Based upon the "quality" of this design, the designer may input a slightly perturbed design. This iterative process continues until the designer is "satisfied." This process can be very time consuming. Neural networks can be used in conjunction with simulation modeling for system design to eliminate the trial-and-error process. This approach is used to achieve the opposite of what a simulation model can achieve. That is, given a set of desired performance measures, the neural network outputs a suitable design to meet management goals. In a real-world application, a major semiconductor manufacturing plant used this methodology to determine how the test operation should be operated to achieve the production goals.

    Journal Title

    Interfaces

    Volume

    28

    Issue/Number

    5

    Publication Date

    1-1-1998

    Document Type

    Article

    Language

    English

    First Page

    100

    Last Page

    114

    WOS Identifier

    WOS:000077115600011

    ISSN

    0092-2102

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