Flexible flow shop scheduling: Optimum, heuristics and artificial intelligence solutions

Hong Wang

doi:10.1111/j.1468-0394.2005.00297.x

Flexible flow shop scheduling: Optimum, heuristics and artificial intelligence solutions

Hong Wang

Business Information Systems and Analytics

Wright State University

Research output: Contribution to journal › Article › peer-review

116 Scopus citations

Abstract

For the past three decades or so the flexible flow shop (FFS) scheduling problem has attracted many researchers. Numerous research articles have been published on this topic. This study reviews research on the FFS scheduling problem from the past and the present. The solution approaches reviewed range from the optimum to heuristics and to artificial intelligence search techniques. I not only discuss the details from the selected methods and compare them, but also provide insights and suggestions for future research. © 2005 Blackwell Publishing Ltd.

Original language	English
Pages (from-to)	78-85
Number of pages	8
Journal	Expert Systems
Volume	22
Issue number	2
DOIs	https://doi.org/10.1111/j.1468-0394.2005.00297.x
State	Published - May 1 2005

Keywords

Artificial intelligence search technique
Flexible flow shop
Heuristics
Scheduling

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Flexible flow shop scheduling: Optimum, heuristics and artificial intelligence solutions

Abstract

Keywords

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