Indexed by:会议论文

First Author:Zhao, Jun

Co-author:Liu, Ying,Wang, Wei,Cong, Liqun,Liu, Yisha

Date of Publication:2011-08-28

Included Journals:EI、Scopus

Document Type:A

Volume:18

Issue:PART 1

Page Number:10541-10546

Abstract:This paper proposes an orders batch scheduling method for cold rolling plant, which firstly groups the available orders into the batches, and predicts their production time by means of fuzzy mode. To enhance the order delivery satisfaction, a fuzzy job shop scheduling model, in which each order batch is viewed as a fundamental scheduled job, is established to represent the production logistics of a cold rolling plant in Shanghai Baosteel. Considering the existent inventory in front of each machine, the calculation rules for the manufacturing time on each machine are defined based on the various production scenarios. For solving the proposed model, a partheno-genetic algorithm is employed. And, the application results of the proposed model and algorithm show that the order delivery satisfaction is greatly improved, and the scheduling working time is reduced. © 2011 IFAC.

Translation or Not:no