Working Paper Article Version 1 This version is not peer-reviewed

Decision Support Tool for Multi-Objectives Resource-Constrained Project Task Schedule Problem in Software Development Project

Version 1 : Received: 23 August 2020 / Approved: 25 August 2020 / Online: 25 August 2020 (04:47:55 CEST)
Version 2 : Received: 7 September 2020 / Approved: 9 September 2020 / Online: 9 September 2020 (03:48:28 CEST)

How to cite: Ngo, T.S.; Jaafar, J. Decision Support Tool for Multi-Objectives Resource-Constrained Project Task Schedule Problem in Software Development Project. Preprints 2020, 2020080538 Ngo, T.S.; Jaafar, J. Decision Support Tool for Multi-Objectives Resource-Constrained Project Task Schedule Problem in Software Development Project. Preprints 2020, 2020080538

Abstract

Assigning tasks in the project to each member is a difficult job in project management. In this study, we build a multi-objective combinatorial optimization model to assign project tasks of the software project to its members automatically. The model aims to minimize the critical path and a strategy to employs human resources to optimize the project cost determined, meanwhile maintain the quality of the labor force. The necessary constraints of the makespan problem strictly followed. There are both preference and non-preference applied to transform the multi-objective optimization problem to a single objective respectively, are Linear Scalarizing and Compromise Programming. The benefit of each approach clarified. Due to the proposed model is NP-Hard and not possible to solve with an Exact Algorithm, we design a scheme of the Genetic Algorithms to solve the combinatorial optimization problems. Experimental results show that the algorithm worked well on the real dataset.

Supplementary and Associated Material

Subject Areas

Makespan; RCPSP; Scheduling; MOP; Combinatorial Optimization; Compromise Programming; Genetic Algorithm

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