Integrated data structure and scheduling approach for manufacturing and transportation using hybrid genetic algorithm |
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Authors: | Azuma Okamoto Mitsuo Gen Mitsumasa Sugawara |
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Affiliation: | (1) Production and Systems, Graduate School of Information, Waseda University, Kitakyushu 808-0135, Japan;(2) Faculty of Software and Information Science, Iwate Prefectural University, Iwate 020-0193, Japan |
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Abstract: | The scheduling systems in industries are required to construct schedule considering many kind of elements. The Advanced Planning
and Scheduling (APS) is an approach for combined problems. To realize APS system, it is important to integrate data structure
and scheduling algorithm using these data. In this paper, we propose integrated data structure based on Bill of Manufacturing
with information technology of XML family and new Multistage Operation-based Genetic Algorithm for scheduling subsystem. The
results of numerical experiment validate effectiveness of the proposal methods.
Received: June 2005/Accepted: December 2005 |
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Keywords: | Advanced planning and scheduling Multistage operation-based genetic algorithm Extensible markup language Bill of manufacturing |
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