Agent‐based stochastic production lines design

D. J. Wu

Intelligent Systems in Accounting, Finance and Management, 2000, vol. 9, issue 4, 257-270

Abstract: An artificial agent‐based approach has been developed to improve the design and control of stochastic production lines. Genetic algorithms have been used as the premier agents learning mechanism. We benchmark our agent‐based approach with other well‐studied approaches such as infinitesimal perturbation analysis and mean‐value analysis methods. The performances of our agents are comparable with other approaches; in some cases, the agent‐based approach discovers even better solutions than the so‐called ‘optimal’ solutions by other approaches. The paper is one of the series of our work on multi‐agent intelligent enterprise modeling, and it seves as one of the most fundamental building blocks for other related works. © 2000 John Wiley & Sons, Ltd.

Date: 2000
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https://doi.org/10.1002/1099-1174(200012)9:43.0.CO;2-4

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