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Intelligent Engineering Systems through Artificial Neural Networks

Editor
Cihan H. Dagli
Cihan H. Dagli
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K. Mark Bryden
K. Mark Bryden
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Steven M. Corns
Steven M. Corns
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Mitsuo Gen
Mitsuo Gen
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Kagan Tumer
Kagan Tumer
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Gürsel Süer
Gürsel Süer
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ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009

The main characteristic of the problem is that it considers a synchronized environment. A scheduling problem is handled in a manufacturing system that is using uniform time bucket approach for synchronization. There are three main aspects of the problem. The first aspect is the allocation of manpower. The manpower levels are determined in order to maximize production rate. Then, cell loading issue is addressed for multiple cells. Finally, a product sequence is generated for each cell in order to minimize the number of periods where available manpower is exceeded. Genetic Algorithm (GA) is proposed to solve the problem. Two main approaches are developed and along with different cell loading strategies. Minimizing similarity among products during cell loading led to better product sequences in each cell.

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