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Grey Wolf Production Scheduling for the Capital Goods Industry

Lookup NU author(s): Professor Christian Hicks

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).

Abstract

The capital goods industry produces physical assets used for current and future production. Capital goods are highly customised. Production scheduling aims to synchronise material supply, component manufacturing, sub-assembly and final assembly processes to minimise the total costs of earliness and tardiness, whilst satisfying finite capacity, machining and assembly precedence constraints. This paper presents the first application of Grey Wolf Optimisation (GWO) together with modified and hybridised versions for solving the capital goods scheduling problem. A novel GWO-based production scheduling tool was developed and validated using four realistic case studies obtained from a collaborating company. The first experiment identified appropriate parameter settings for the GWO. The performance of the GWO was then evaluated and compared with a modified GWO and a hybridised GWO. The computational results obtained from the proposed methods were statistical analysed. The outperformed other metaheuristics.

Publication metadata

Author(s): Sooncharoen S, Pongcharoen P, Hicks C

Publication type: Article

Publication status: Published

Journal: Applied Soft Computing

Year: 2020

Volume: 94

Print publication date: 01/09/2020

Online publication date: 19/06/2020

Acceptance date: 13/06/2020

Date deposited: 17/06/2020

ISSN (print): 1568-4946

ISSN (electronic): 1872-9681

Publisher: Elsevier

URL: https://doi.org/10.1016/j.asoc.2020.106480

DOI: 10.1016/j.asoc.2020.106480

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