Resource Constrained Multi-Project Scheduling Problem with Resource Transfer Times

M. Suresh, Pankaj Dutta () and Karuna Jain ()
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M. Suresh: L&T Institute of Project Management, Vadodara 390019, Gujarat, India
Pankaj Dutta: Shailesh J. Mehta School of Management, Indian Institute of Technology, Bombay, Mumbai 400076, India
Karuna Jain: Shailesh J. Mehta School of Management, Indian Institute of Technology, Bombay, Mumbai 400076, India

Asia-Pacific Journal of Operational Research (APJOR), 2015, vol. 32, issue 06, 1-30

Abstract: Scheduling multi-project is a complex decision making process. It involves the effective and timely allocation of resources to different projects. In the case of multi-project, resources are often transferred between the projects. It consumes both time and cost, when projects are situated in different geographic locations. As a result, the net present value (NPV) of multi-projects is significantly impacted by the resource transfer time. In this paper, a new genetic algorithm (GA) approach to the multi-project scheduling problem with resource transfer times is presented, where the NPV of all projects is maximized subject to renewable resource constraints. The paper also presents a heuristic approach using two phase priority rules for the same problem. We conduct a comprehensive analysis of 60 two-phase priority rules. The proposed GA approach is compared to the heuristic approach using the well-known priority rules. An extensive computational experiment is reported.

Keywords: Project scheduling; net present value; transfer time; genetic algorithm; priority rules; multi-project (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (5)

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DOI: 10.1142/S0217595915500487

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