A Fuzzy Approach to Multi-product Mixed Production Job Shop Scheduling Algorithm

Author

Wang, Wanlei ; Yuan, Changfeng ; Liu, Xiaobing

Author_Institution

Dept. of Mech. Eng., Dalian Nat. Univ., Dalian

Volume

1

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

95

Lastpage

99

Abstract

To solve the kitting problem appearing in the process of job shop scheduling in multi-product mixed manufacturing workshops, based on the fuzzy set theory, a job shop scheduling fuzzy mathematical model is built, in which the objective function is the maximum customers´ satisfaction degree. On the basis of the mathematical model, an integrated and effective fuzzy job shop scheduling model is built for multi-product mixed production. Simulation proves the scheduling process based on the job shop scheduling model has good convergence property and can produce satisfactory solutions in a short time.

Keywords

customer satisfaction; fuzzy set theory; job shop scheduling; customer satisfaction; fuzzy set theory; job shop scheduling algorithm; multi-product mixed manufacturing; Fuzzy set theory; Fuzzy systems; Job production systems; Job shop scheduling; Manufacturing processes; Mathematical model; Production planning; Scheduling algorithm; Single machine scheduling; Uncertainty; customers´ satisfaction degree; fuzzy theory; job shop scheduling; multi-product mixed production;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.420

Filename

4665946