An Improved Palmer-Based Heuristic for Two-Stage Flexible Flow Shop with Group Constraint

Article Preview

Abstract:

Based on a background to the mould job shop, this paper considers a two-stage flexible flow shop scheduling problem subject to release dates, where the first stage is made up of unrelated machines and tasks have group constraint. The objective is to find a schedule that minimizes makespan in that flexible flow shop environment. For this problem, a mathematic model is formulated. Because this problem is NP-hard, an improved Palmer-based heuristic (denoted by MPL) is proposed. Based on MPL, a new heuristic (denoted by IMPL) is developed. In order to test the efficiency of the two heuristics, sets of examples are designed. Compared to the MPL, the performance of IMPL is more superior.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 314-316)

Pages:

2076-2081

Citation:

Online since:

August 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Gupta JND, Krüger K, Lauff V, Werner F, Sotskov YN. Computers & Operations Research, 2002, 29(10): 1417-39.

DOI: 10.1016/s0305-0548(01)00040-5

Google Scholar

[2] Alisantoso D, Khoo LP, Jiang PY. International Journal of Advanced Manufacturing Technology, 2003, 22(11-12): 819-27.

Google Scholar

[3] Lin HT, Liao CJ. International Journal of Production Economics, 2003, 86(2): 133-43.

Google Scholar

[4] Wang W, Hunsucker LJ. An evaluation of the CDS heuristic in flow shops with multiple processors[J]. Journal of the Chinese Institute of industrial Engineers, 2003, 20(3): 295-304.

DOI: 10.1080/10170660309509238

Google Scholar

[5] Arthanari TS, Ramamurthy KG. Opsearch, 1971, 8(1): 10-22.

Google Scholar

[6] Lenstra J.K., Rinnooy Kan A.H.G., Brucker P. Ann. of Discrete Math, 1997, 1:343-362.

Google Scholar

[7] Palmer DS (1965) Sequencing jobs through a multi-stage process in the minimum total time— a quick method of obtaining a near optimum. Oper Res Q 16(1): 101-107.

DOI: 10.2307/3006688

Google Scholar

[8] Li zhan-tao, Chen qing-xin, Mao ning. Chinese Journal of Mechanical Engineering (in Chinese). Contributed.

Google Scholar