A multi-objective stochastic programming model for project-oriented human-resource management optimization. Issue 4 (2nd October 2019)

• Record Type: Journal Article
• Authors: Rahmanniyay, Fahimeh; Yu, Andrew Junfang
• Is Part Of: International journal of management science and engineering management. Volume 14:Issue 4(2019)
• Page Start: 231
• Page End: 239
• Publication Date: 2019-10-02
• Subjects: Project team -- competency -- multi-objective -- stochastic programming -- project management; Management science -- Periodicals; Engineering -- Management -- Periodicals; Engineering -- Management; Management science; Periodicals; 658.005
• DOI: 10.1080/17509653.2018.1534220
• Languages: English
• ISSNs: 1750-9661

Abstract

ABSTRACT: Human resource policy is one of the key factors in managing a project. The cost associated with the individuals assigned to a project and the quality of the tasks completed by the assigned individuals are two of the main concerns in developing a project team. In this study, we present a new multi-objective mathematical model for developing a project team for multi-disciplinary projects under uncertainty. The objective functions optimize cost and competency simultaneously. To cope with the uncertainty and the multiple objectives in the presented model, we applied the two-stage stochastic programming approach and the Augmented Epsilon Constraint Method, respectively. The presented model and its solution methodology can be applied to different types of projects. In this study, a project that involves an overhaul of a set of aircrafts is presented as a case study.