A two-phase resource-constrained project scheduling approach for design and development of complex product systems

Pejman Peykani (), Jafar Gheidar-Kheljani (), Sheida Shahabadi (), Seyyed Hassan Ghodsypour () and Mojtaba Nouri ()
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Pejman Peykani: Iran University of Science and Technology
Jafar Gheidar-Kheljani: Malek Ashtar University of Technology
Sheida Shahabadi: Amirkabir University of Technology
Seyyed Hassan Ghodsypour: Amirkabir University of Technology
Mojtaba Nouri: Iran University of Science and Technology

Operational Research, 2023, vol. 23, issue 1, No 17, 25 pages

Abstract: Abstract It is often challenging to schedule tasks for the design and development projects of complex product systems. Moreover, it is necessary to reduce project time and cost by minimizing activities' feedback length under resource constraints. This paper proposes an effective resource-constrained project scheduling approach for complex product systems design and development. We develop a two-phase approach to investigate the problem. In the first phase, we propose a bi-objective model to minimize the feedback length and the cost of the information correction. Then, in the second phase, we develop a mathematical model to minimize project completion times under resource constraints and the optimal sequence of activities extracted from the first stage. Finally, we obtain a global Pareto front, which indicates that paying more attention to minimizing the feedback length would increase the project completion times. Last, we examine the proposed approach's efficiency and applicability using an experimental data set.

Keywords: Product design and development; Resource-constrained project scheduling; Feedback length; Degree of information dependency; Complex product systems (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s12351-023-00750-4

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