Optimal Production Scheduling for the Polyamide Fiber Plant Using Simulated Annealing

Abstract:

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This paper addresses the problem of optimizing production schedules of multiproduct continuous manufacturing facilities where a wide range of products are produced in small quantities, resulting in frequent changeovers. A real-world scheduling problem from the polyamide fiber plant is investigated. The problem involves a sequencing of products. The problem is formulated as a mixed-integer linear programming (MILP) model. The mathematical model has a linear objective function to be maximized. A simulated annealing (SA) algorithm is proposed for this scheduling problem. The computational results show that a satisfactory solution can be obtained in reasonable computation time. Case study demonstrates the effectiveness and the applicability of the model and the proposed methods.

Info:

Periodical:

Edited by:

Zhenyu Du and Bin Liu

Pages:

1079-1082

DOI:

10.4028/www.scientific.net/AMM.26-28.1079

Citation:

H. Jin et al., "Optimal Production Scheduling for the Polyamide Fiber Plant Using Simulated Annealing", Applied Mechanics and Materials, Vols. 26-28, pp. 1079-1082, 2010

Online since:

June 2010

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$35.00

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