Title: Dynamic seru order acceptance and scheduling with periodic worker assignment

Authors: Lili Wang; Zhe Zhang; Yong Yin

Addresses: School Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China ' School Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China ' Graduate School of Business, Doshisha University, Karasuma-Imadegawa, Kamigyo-ku, Kyoto, 602-8580, Japan

Abstract: In this paper, we examine the dynamic seru order acceptance and scheduling problem with periodic worker assignment. To deal with the dynamic order arrival environment, a periodic dynamic adjustment strategy combined the technology of rolling window will be adopted. In other words, we periodically accept, schedule the coming orders and reassign workers in a periodic manner to decompose the dynamic problem into a series of continuous static sub-problems to maximise total net revenue. At the same time, an extended bi-level chromosome coding genetic algorithm combining order acceptance and scheduling results with worker assignment is designed which automatically constructs reactive adjustment strategy for the dynamic order acceptance and scheduling with worker assignment. In the end, the experimental results show that the improved genetic algorithm with rolling window technology (IGA-RWT) is feasible and effective. [Submitted 17 April 2020; Accepted 4 August 2020]

Keywords: seru production system; order acceptance and scheduling; OAS; rolling window technology; worker assignment; improved genetic algorithm; IGA.

DOI: 10.1504/IJMR.2022.124996

International Journal of Manufacturing Research, 2022 Vol.17 No.2, pp.172 - 201

Received: 17 Apr 2020
Accepted: 04 Aug 2020
Published online: 22 Aug 2022 *

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