Resource-constrained project scheduling problem: Review of recent developments

被引:1
作者
Khajesaeedi, Sahar [1 ]
Sadjadi, Seyed Jafar [1 ]
Barzinpour, Farnaz [1 ]
Moghaddam, Reza Tavakkoli [2 ]
机构
[1] Iran Univ Sci & Technol, Sch Engn, Dept Ind Engn, Tehran, Iran
[2] Univ Tehran, Sch Engn, Dept Ind Engn, Tehran, Iran
关键词
Project scheduling; Optimization; Resource constraint; Review Classification; GENETIC ALGORITHM; METAHEURISTICS; FORMULATION;
D O I
10.5267/j.jpm.2024.12.002
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The Resource-Constrained Project Scheduling Problem (RCPSP) remains a critical area of study in project management, focusing on optimizing project schedules under constraints such as limited resources and task interdependencies. This review synthesizes advancements from 2016 to 2024, encompassing problem variants, optimization techniques, objectives, and real-world applications. Key developments include the evolution of hybrid metaheuristics, multi-objective optimization approaches, and the integration of stochastic models to enhance robustness against uncertainties. Furthermore, the application of machine learning and sustainability-driven models has expanded the practical scope of RCPSP in dynamic and complex environments. Challenges such as scalability, uncertainty management, and the need for practical implementations are addressed, with future directions emphasizing AI integration, decentralized scheduling, and real-time adaptive solutions. This study provides a comprehensive perspective on RCPSP, bridging theoretical research with practical implications for diverse industries. (c) 2025 Growing Science Ltd. All rights reserved.
引用
收藏
页码:1 / 26
页数:26
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