Applications of neural networks to solving surface mount technology scheduling problems – a case study

Applications of neural networks to solving surface mount technology scheduling problems – a case study

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Article ID: iaor20002768
Country: United Kingdom
Volume: 37
Issue: 17
Start Page Number: 4007
End Page Number: 4020
Publication Date: Jan 1999
Journal: International Journal of Production Research
Authors: ,
Keywords: neural networks, programming: integer
Abstract:

In today's surface mount technology (SMT) production systems, an SMT assembly line is designed to produce different types of products. The system setup cost is often sequence dependent and the job sequence has significant impact on the productivity of these systems. In this paper, a nonlinear mixed integer programming model was proposed to generate production sequence and to minimize total setup cost for a small size SMT production line in Western Canada. A neural-network approach was employed to solve this case problem. Problem features and detailed results are presented to illustrate the model and the solution approach.

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