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Multi-Objective Trade-Offs for Construction Projects with Dual Constraints of Schedule Risk and Resources Under a Risk-Driven Perspective

Author

Listed:
  • Jun Zhou

    (College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832000, China)

  • Yanjuan Tang

    (College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832000, China)

  • Yong Tian

    (College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832000, China)

Abstract

Project schedules are typically the primary concern for most clients, yet the corresponding schedule risks have not received sufficient attention from project managers during multi-objective trade-offs. Therefore, to select the most valuable schedule plan in a complex risk environment, reveal the objective impact of schedule risks on multi-objective trade-offs, and reflect the decision-maker’s risk mitigation behaviour, this study aims to develop a Time–Cost–Quality Trade-off (TCQT) model constrained by both schedule risks and resources based on risk-driven principles. Furthermore, sensitivity analysis steps for identifying key risk factors are proposed. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods are introduced to solve the TCQT model and make optimal solution decisions. Case study results demonstrate that the optimal scheduling plan derived from the model improves the total project time, cost, and quality by 11.48%, 4.52%, and 7.05%, respectively, compared to the initial plan formulated by the project team. Additionally, the model identifies the main risk factors affecting the achievement of each objective within the TCQT decision framework, providing crucial insights for decision-makers in formulating effective mitigation strategies.

Suggested Citation

  • Jun Zhou & Yanjuan Tang & Yong Tian, 2025. "Multi-Objective Trade-Offs for Construction Projects with Dual Constraints of Schedule Risk and Resources Under a Risk-Driven Perspective," Sustainability, MDPI, vol. 17(5), pages 1-34, February.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:5:p:1926-:d:1598680
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    References listed on IDEAS

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    1. Şeyda Gür & Tamer Eren, 2018. "Scheduling and Planning in Service Systems with Goal Programming: Literature Review," Mathematics, MDPI, vol. 6(11), pages 1-16, November.
    2. Yongjun Chen & Xiaojian Li & Jin Wang & Mei Liu & Chaoxun Cai & Yuefeng Shi, 2023. "Research on the Application of Fuzzy Bayesian Network in Risk Assessment of Catenary Construction," Mathematics, MDPI, vol. 11(7), pages 1-19, April.
    3. Ali Namazian & Siamak Haji Yakhchali & Vahidreza Yousefi & Jolanta Tamošaitienė, 2019. "Combining Monte Carlo Simulation and Bayesian Networks Methods for Assessing Completion Time of Projects under Risk," IJERPH, MDPI, vol. 16(24), pages 1-19, December.
    4. Stefan Creemers & Erik Demeulemeester & Stijn Vonder, 2014. "A new approach for quantitative risk analysis," Annals of Operations Research, Springer, vol. 213(1), pages 27-65, February.
    5. Adriana S. F. Alves & J. P. Oliveira & Radu Godina, 2024. "Advancing Sustainable Decision Making in Additive Manufacturing: A Comprehensive Review of Multi-Criteria Decision Making Approaches," Clean Technol., MDPI, vol. 6(2), pages 1-16, May.
    6. Zheng-Xin Wang & Dan-Dan Li & Hong-Hao Zheng, 2018. "The External Performance Appraisal of China Energy Regulation: An Empirical Study Using a TOPSIS Method Based on Entropy Weight and Mahalanobis Distance," IJERPH, MDPI, vol. 15(2), pages 1-18, January.
    7. D. R. Fulkerson, 1961. "A Network Flow Computation for Project Cost Curves," Management Science, INFORMS, vol. 7(2), pages 167-178, January.
    8. Wanvipa Wongvilaisakul & Paniti Netinant & Meennapa Rukhiran, 2023. "Dynamic Multi-Criteria Decision Making of Graduate Admission Recommender System: AHP and Fuzzy AHP Approaches," Sustainability, MDPI, vol. 15(12), pages 1-32, June.
    9. Amoozad Mahdiraji, Hannan & Sedigh, Maryam & Razavi Hajiagha, Seyed Hossein & Garza-Reyes, Jose Arturo & Jafari-Sadeghi, Vahid & Dana, Leo-Paul, 2021. "A novel time, cost, quality and risk tradeoff model with a knowledge-based hesitant fuzzy information: An R&D project application," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    10. Babu, A. J. G. & Suresh, Nalina, 1996. "Project management with time, cost, and quality considerations," European Journal of Operational Research, Elsevier, vol. 88(2), pages 320-327, January.
    11. James E. Kelley, 1961. "Critical-Path Planning and Scheduling: Mathematical Basis," Operations Research, INFORMS, vol. 9(3), pages 296-320, June.
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