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A Multi-Objective Mathematical Programming Model for Project-Scheduling Optimization Considering Customer Satisfaction in Construction Projects

Author

Listed:
  • Mehrnoosh Zohrehvandi

    (Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran)

  • Shakib Zohrehvandi

    (New Technologies Department, Center for European Studies, Kharazmi University, Tehran 1571914911, Iran)

  • Mohammad Khalilzadeh

    (Industrial Engineering Department, Faculty of Engineering and Natural Sciences, Istinye University, Sarıyer, Istanbul 34396, Turkey)

  • Maghsoud Amiri

    (Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran 1489684511, Iran)

  • Fariborz Jolai

    (School of Industrial Engineering, College of Engineering, University of Tehran, Tehran 1439957131, Iran)

  • Edmundas Kazimieras Zavadskas

    (Institute of Sustainable Construction, Vilnius Gediminas Technical University, Sauletekio al. 11, 10223 Vilnius, Lithuania)

  • Jurgita Antucheviciene

    (Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Sauletekio al. 11, 10223 Vilnius, Lithuania)

Abstract

The aim of this study was to develop a multi-objective mathematical programming model for the trade-off of time, cost, and quality in the project-scheduling problem (PSP) by taking priorities and resource constraints as well as activity preemption into account. First, a small-sized problem instance that was a sub-project of an oil and gas construction project was used for te validation of the proposed model and algorithm. Subsequently, considering the sensitivity, complexity, and importance of oil and gas projects, the proposed model was implemented in a large-sized oil and gas construction project. Considering the NP-hardness of this problem, the NSGA-II metaheuristic algorithm was used to deal with the time, cost, and quality trade-off problem. Finally, a sensitivity analysis was implemented on the three main parameters of time, cost, and quality to investigate the effects of changes on the results. The findings show that the proposed model is more sensitive to cost changes, so an increase in project costs leads to a drastic change in the values of other objective functions.

Suggested Citation

  • Mehrnoosh Zohrehvandi & Shakib Zohrehvandi & Mohammad Khalilzadeh & Maghsoud Amiri & Fariborz Jolai & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene, 2024. "A Multi-Objective Mathematical Programming Model for Project-Scheduling Optimization Considering Customer Satisfaction in Construction Projects," Mathematics, MDPI, vol. 12(2), pages 1-15, January.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:2:p:211-:d:1315344
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    References listed on IDEAS

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    1. Creemers, Stefan, 2019. "The preemptive stochastic resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 277(1), pages 238-247.
    2. James H. Patterson & Walter D. Huber, 1974. "A Horizon-Varying, Zero-One Approach to Project Scheduling," Management Science, INFORMS, vol. 20(6), pages 990-998, February.
    3. Sayyid Ali Banihashemi & Mohammad Khalilzadeh, 2023. "Towards sustainable project scheduling with reducing environmental pollution of projects: fuzzy multi-objective programming approach to a case study of Eastern Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7737-7767, August.
    4. Stefan Creemers, 2019. "The preemptive stochastic resource-constrained project scheduling problem," Post-Print hal-02992618, HAL.
    5. 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.
    6. 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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