Title: A novel hybrid mayfly algorithm for decentralised multi-mode-multi-project scheduling problems with resource transfer and periodic service: a case study

Authors: Mohammad Rostami; Ali Yousefzadeh

Addresses: Department of Industrial Engineering and Management, Shahrood University of Technology, Shahroud, Iran ' Department of Management, University of Tehran, Tehran, Iran

Abstract: One of the most neglected issues in the decentralised project scheduling problems is considering multi-mode resources which is consistent with the real problems. This paper addresses multi-mode resource-constrained decentralised multi-project scheduling problem with considering periodic services where the activities can be done by the one of the possible modes. The purpose of this problem is to minimise the total cost. First, a mixed integer linear programming model is presented. Then, with its help, a real case study is solved in which the information of two projects implemented in Iran has been used. Also, a new hybrid mayfly algorithm (MA) is developed to solve large-size instances. To evaluate the performance of this method, three other well-known methods are adapted, and the results are presented. The computational results show that HMA has an acceptable performance, especially in terms of the quality of the solutions compared to other well-known methods.

Keywords: mayfly algorithm; heuristics; multi-mode resource constrained; decentralised projects scheduling; case study.

DOI: 10.1504/IJMDM.2024.140730

International Journal of Management and Decision Making, 2024 Vol.23 No.5, pp.586 - 623

Received: 05 Aug 2022
Accepted: 24 Jan 2023

Published online: 02 Sep 2024 *

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