Coordinated Production and Delivery Operations With Parallel Machines and Multiple Vehicles

Liu, Dunhu and Wang, Wei and Huang, Li and Proverbs, David (2019) Coordinated Production and Delivery Operations With Parallel Machines and Multiple Vehicles. IEEE ACCESS, 8. pp. 32947-32956. ISSN 2169-3536

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Abstract

This paper investigated a coordinated optimization problem of production and delivery operations with parallel machines and multiple vehicles so that a more cost-effective and sustainable supply chain performance can be achieved. We propose an effective hybrid metaheuristic solution framework to deal with this problem, by which the investigated problem is decomposed into 3 sub-problems namely, vehicle assignment, parallel machine scheduling and traveling salesman sub-problem. This framework is established for handling the 3 sub-problems in a coordinated manner so as to simplify the optimization process and to reduce the computational complexity. To evaluate the effectiveness of the methodology, this paper integrates a genetic algorithm, the longest processing time heuristic and a tabu search under this framework to solve the investigated problem. Extensive numerical experiments have been conducted and experimental results show that the proposed solution framework can handle the investigated problem efficiently and effectively.

Item Type: Article
Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Identification Number: https://doi.org/10.1109/ACCESS.2019.2958742
Date: 11 December 2019
Uncontrolled Keywords: Production planning, parallel machines, distribution, genetic algorithm
Subjects: K900 Others in Architecture, Building and Planning
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment
Depositing User: Euan Scott
Date Deposited: 06 Mar 2020 10:46
Last Modified: 10 Mar 2020 14:53
URI: http://www.open-access.bcu.ac.uk/id/eprint/8990

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