Hierarchical stochastic production planning for flexible automation workshops

Hierarchical stochastic production planning for flexible automation workshops

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Article ID: iaor20013826
Country: Netherlands
Volume: 38
Issue: 4
Start Page Number: 435
End Page Number: 455
Publication Date: Dec 2000
Journal: Computers & Industrial Engineering
Authors:
Keywords: production: FMS
Abstract:

This paper presents the hierarchical stochastic production planning (HSPP) problem for flexible automation workshops (FAWs) in agile manufacturing environments, which is a multiple-period multiple-product problem with random material supply, demands, capacities, processing times, rework and waste products. To solve the HSPP problem, a mathematical model is built up first. Then, an algorithm for HSPP is deduced in detail by using a stochastic interaction/prediction approach. The corresponding software package named as stochastic interaction/prediction algorithm (SIPA) has been developed and is presented in this paper, through which examples of HSPP have been studied, and which show that the algorithm can optimally decompose medium-term random product demand plans of an FAW into short-term stochastic production plans to be executed by FMSs in the FAW. Finally, the application of the algorithm is presented in detail through one of those examples.

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