Paper Title:
Optimal Production Scheduling for the Polyamide Fiber Plant Using Simulated Annealing
  Abstract

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, K. Wang, H. Y. Zheng, "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
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Z. Stokłosa, G. Badura, P. Kwapuliński, Józef Rasek, G. Haneczok, Józef Lelątko, Lucjan Pająk
Abstract:The crystallization and optimization of magnetic properties effects in FeXSiB (X=Cu, V, Co, Zr, Nb) amorphous alloys were studied by...
171
Authors: Jae Seol Lee, Hyeon Taek Son, Toyohiko Yano
Abstract:The layers of ZrO2-Al2O3 were coated on the surface of SiC fibers (Tyranno SA fiber) by dip-coating process. The citric acid-ethylene glycol...
1386
Authors: Ranjit Kumar Ray, P. Ghosh
Chapter 1: Keynotes
Abstract:Interstitial free high strength steels (IFHS) are widely used in the automobile sector due to their high strength and excellent formability....
34
Authors: Ming Zhang, Jiang Hua Sui
Chapter 1: Engineering Materials, Energy Science and Dynamic System in Mechanical Engineering
Abstract:A hybrid evolution strategies algorithm based on dynamic demes is proposed in this paper. Evolutionary strategy algorithm is likely...
174
Authors: Xiao Hong Zhang, Jiang Tao Zhang
Chapter 6: Materials Engineering
Abstract:According to two parameters combination of the material thickness and air-gap depth, from the angle of pure optimization, this paper obtained...
1187