Research on common due window assignment flowshop scheduling with learning effect and resource allocation. Issue 4 (2nd April 2020)

• Record Type: Journal Article
• Authors: Shi, Hui-Bin; Wang, Ji-Bo
• Is Part Of: Engineering optimization. Volume 52:Issue 4(2020)
• Page Start: 669
• Page End: 686
• Publication Date: 2020-04-02
• Subjects: Flowshop -- learning effect -- two-machine -- resource allocation -- common due window assignment; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2019.1604698
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: In this article, the two-machine no-wait permutation flowshop scheduling problem with common due window assignment, learning effect and resource allocation is considered, wherein learning effect and resource allocation mean that the processing time of a job is a function of its position in a sequence and its amount of resource allocation. According to the common due window assignment method, each job is associated with a common due window, which is a decision variable. The goal is to determine the sequence of jobs, common due window starting time, due window size and resource allocation such that the linear weighted sum of job earliness, tardiness, due window size and resource cost is minimized. This article shows that the scheduling problem can be solved in polynomial time.