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Flowshop scheduling with sequence dependent setup times and batch delivery in supply chain

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journal contribution
posted on 2021-11-05, 10:43 authored by HF Rahman, MN Janardhanan, L Poon Chuen, SG Ponnambalam
With the emergence of advanced manufacturing and Industry 4.0 technologies, there is a growing interest in coordinating the production and distribution in supply chain management. This paper addresses the production and distribution problems with sequence dependent setup time for multiple customers in flow shop environments. In this complex decision-making problem, an efficient scheduling approach is required to optimize the trade-off between the total cost of tardiness and batch delivery. To achieve this, three new metaheuristic algorithms such as Differential Evolution with different mutation strategy variation and a Moth Flame Optimization, and Lévy-Flight Moth Flame Optimization algorithm are proposed and presented. In addition, a design-of-experiment method is used to identify the best possible parameters for the proposed approaches for the problem under study. The proposed algorithms are validated on a set of problem instances. The variants of differential evolution performed better than the other compared algorithms and this demonstrates the effectiveness of the proposed approach. The algorithms are also validated using an industrial case study.

History

Citation

Computers & Industrial Engineering Volume 158, August 2021, 107378

Author affiliation

Mechanics of Materials Research Group, School of Engineering

Version

  • AM (Accepted Manuscript)

Published in

Computers and Industrial Engineering

Volume

158

Pagination

107378

Publisher

Elsevier BV

issn

0360-8352

Acceptance date

2021-04-27

Copyright date

2021

Available date

2022-10-30

Language

en

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