Title: Workload-based order acceptance in seru production system

Authors: Yulong Wang; Zhe Zhang; Yong Yin

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

Abstract: This paper focuses on the seru loading problem considering order acceptance. In practice, manufacturing company may receive a certain number of orders before the planning period, and each of them has the different processing time, setup time, revenue, tardiness penalty and due date. Due to the limitation of production capacity, the manufacturing company need to make order acceptance and loading decision to maximise profits. According to the parallel structure of seru production system and the characteristics of proposed model, the genetic algorithm with matrix crossover (MCGA) is designed. Finally, two numerical examples are applied to show the practicability and effectiveness of proposed model and algorithm. [Submitted 19 June 2018; Accepted 7 November 2018]

Keywords: seru production system; seru loading; order acceptance; genetic algorithm.

DOI: 10.1504/IJMR.2020.108197

International Journal of Manufacturing Research, 2020 Vol.15 No.3, pp.234 - 251

Received: 19 Jun 2018
Accepted: 07 Nov 2018
Published online: 06 Jul 2020 *

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