Optimal Production Scheduling for the Polyamide Fiber Plant using Simulated Annealing
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 mixedinteger 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.
Polyamide fiber Production scheduling Mixed-integer linear programming Simulated annealing
Hui Jin Kenan Wang Haiying Zheng
Liaoning University of Technology, Jinzhou, Liaoning, China The Basic College, Liaoning Medical University, Jinzhou, Liaoning, China
国际会议
2010 International Conference on Advanced Mechanical Engineering(2010年先进机械工程国际学术会议 AME 2010)
洛阳
英文
1079-1082
2010-09-04（万方平台首次上网日期，不代表论文的发表时间）