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: | Yan Hong-Sen |
Keywords: | production: FMS |
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.