A chance-constrained programming method with credibility measure for solving the multi-skill multi-mode resource-constrained project scheduling problem

Ghasemi, Mohammad; Chakrabortty, Ripon K.; Shahabi-Shahmiri, Reza; Mirnezami, Seyed-Ali

doi:10.1080/15623599.2023.2252255

International Journal of Construction Management

2023

DOI: 10.1080/15623599.2023.2252255

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A chance-constrained programming method with credibility measure for solving the multi-skill multi-mode resource-constrained project scheduling problem

Mohammad Ghasemi,

Ripon K. Chakrabortty,

Reza Shahabi-Shahmiri

et al.

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2024

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Weighted Multi-Skill Resource Constrained Project Scheduling: A Greedy and Parallel Scheduling Approach

Akbar,

Zubair,

Khan

et al. 2024

IEEE Access

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This study addresses the Weighted Multi-Skill Resource Constrained Project Scheduling Problem (W-MSRCSPSP) with the aim of minimizing software project makespan. Unlike previous works, our investigation regards heterogeneous resources characterized by varying skill proficiency levels. Another major problem with existing methodologies is the potential underutilization of human resources due to varying task durations. This work introduces an innovative scheduling approach known as the Greedy and Parallel Scheduling (GPS) algorithm to handle the said issues. GPS focuses on assigning the most suitable resources available to project activities at each scheduling point. The fundamental goal of our proposed approach is to reduce resource wastage while efficiently allocating surplus resources, if any, to project tasks, ultimately leading to a decrease in the makespan. To empirically evaluate the efficacy of the GPS algorithm, we conduct a comparative analysis against the Parallel Scheduling Scheme (PSS). The advantage of our proposed approach lies in its ability to optimize the utilization of available resources, resulting in accelerated project completion. Results from extensive simulations substantiate this claim, demonstrating that the GPS scheme outperforms the PSS approach in minimizing project duration.

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Weighted Multi-Skill Resource Constrained Project Scheduling: A Greedy and Parallel Scheduling Approach

Akbar,

Zubair,

Khan

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

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A chance-constrained programming method with credibility measure for solving the multi-skill multi-mode resource-constrained project scheduling problem

Cited by 1 publication

References 79 publications

Weighted Multi-Skill Resource Constrained Project Scheduling: A Greedy and Parallel Scheduling Approach

Weighted Multi-Skill Resource Constrained Project Scheduling: A Greedy and Parallel Scheduling Approach

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