Due-date assignment scheduling involving job-dependent learning effects and convex resource allocation. Issue 1 (2nd January 2020)

• Record Type: Journal Article
• Authors: Liu, Weiwei; Jiang, Chong
• Is Part Of: Engineering optimization. Volume 52:Issue 1(2020)
• Page Start: 74
• Page End: 89
• Publication Date: 2020-01-02
• Subjects: Scheduling -- resource allocation -- learning effect -- due-date assignment; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2019.1580705
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: This article addresses single machine resource allocation scheduling problems with learning effects, where learning effects mean job-dependent position-based learning effects. For the common due-date assignment (CON) and slack due-date assignment (SLK) methods, a bi-cost analysis of the scheduling cost and the total weighted resource consumption cost is provided. The objective is to determine the optimal job sequence and the resource allocation simultaneously, such that the scheduling cost (the total weighted resource consumption cost) is minimized subject to the total weighted resource consumption cost (the scheduling cost) being limited. Solution procedures are provided for the problems under consideration.