Resource constrained project scheduling problem with discounted earliness-tardiness penalties: Mathematical modeling and solving procedure

  • Authors:
  • Yazdan Khoshjahan;Amir Abbas Najafi;Behrouz Afshar-Nadjafi

  • Affiliations:
  • Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran;Faculty of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran;Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

  • Venue:
  • Computers and Industrial Engineering
  • Year:
  • 2013

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Abstract

In this paper, we consider the resource-constrained project scheduling problem with a due date for each activity. The objective is to minimize the net present value of the earliness-tardiness penalty costs. The problem is first mathematically modeled. Then, two meta-heuristics, genetic algorithm and simulated annealing are proposed to solve this strongly NP-hard problem. Design of experiments and response surface methodology are employed to fine-tune the meta-heuristics' parameters. Finally, a comprehensive computational experiment is described, performed on a set of instances and the results are analyzed and discussed.