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A Survey on Integration of Optimization and Project Management Tools for Sustainable Construction Scheduling

Author

Listed:
  • Borna Dasović

    (Faculty of Civil Engineering, Transportation Engineering and Architecture, University of Maribor, Smetanova ulica 17, 2000 Maribor, Slovenia)

  • Mario Galić

    (Faculty of Civil Engineering and Architecture Osijek, Josip Juraj Strossmayer University of Osijek, Ulica Vladimira Preloga 3, 31000 Osijek, Croatia)

  • Uroš Klanšek

    (Faculty of Civil Engineering, Transportation Engineering and Architecture, University of Maribor, Smetanova ulica 17, 2000 Maribor, Slovenia)

Abstract

Construction scheduling, in practice, commonly relies on the usage of commercial project management tools (PMT) without specific optimization features. To obtain optimal schedules, planners often need to develop separate optimization models with special tools, which, however, demand further processing and editing of optimization results by PMT into forms expected for project management. In this regard, separation of optimization and PMT also requires considerable additional work for complete and harmonized updating of schedules during construction execution. Mentioned drawbacks and lack of available time may take to deficient construction scheduling during the implementation phase resulting in poor or even insufficient realization of project goals. Therefore, this paper presents an achievements survey on the integration of optimization and PMT that allow sustainable construction scheduling, particularly in terms of continuous optimal time and resource allocation throughout the project life cycle. Such work has not yet been comprehensively done up to now and the present contribution intends to fill a literature gap in the aforesaid area. Following a brief introduction, the optimization platform for construction scheduling is given in the article. Focusing on construction scheduling, an in-depth achievements survey on the integration of heuristics methods, mathematical programming and special solving methods with conventional PMT as well as optimization-based building information modeling (BIM) tools is then performed and findings are reported. The paper ends with conclusions and recommendations for further research.

Suggested Citation

  • Borna Dasović & Mario Galić & Uroš Klanšek, 2020. "A Survey on Integration of Optimization and Project Management Tools for Sustainable Construction Scheduling," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:8:p:3405-:d:348695
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Kyunghwan Kim, 2020. "Generalized Resource-Constrained Critical Path Method to Improve Sustainability in Construction Project Scheduling," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    2. Fernando Acebes & David Poza & Jose M Gonzalez-Varona & Javier Pajares & Adolfo Lopez-Paredes, 2024. "On the project risk baseline: integrating aleatory uncertainty into project scheduling," Papers 2406.00077, arXiv.org.
    3. Orlando Lima & Gabriela Fernandes & Anabela Tereso, 2023. "Benefits of Adopting Innovation and Sustainability Practices in Project Management within the SME Context," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    4. Michał Tomczak & Piotr Jaśkowski, 2021. "Preferences of Construction Managers Regarding the Quality and Optimization Criteria of Project Schedules," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    5. Wei He & Wenjing Li & Wei Wang, 2021. "Developing a Resource Allocation Approach for Resource-Constrained Construction Operation under Multi-Objective Operation," Sustainability, MDPI, vol. 13(13), pages 1-22, June.
    6. Borna Dasović & Uroš Klanšek, 2021. "Integration of Mixed-Integer Nonlinear Program and Project Management Tool to Support Sustainable Cost-Optimal Construction Scheduling," Sustainability, MDPI, vol. 13(21), pages 1-20, November.
    7. Čeněk Jarský & Miloslava Popenková & Jozef Gašparík & Patrik Šťastný, 2022. "On Use of Construction Technology Designs for Expert Opinions," Sustainability, MDPI, vol. 14(9), pages 1-12, May.
    8. YeEun Jang & JeongWook Son & June-Seong Yi, 2021. "Classifying the Level of Bid Price Volatility Based on Machine Learning with Parameters from Bid Documents as Risk Factors," Sustainability, MDPI, vol. 13(7), pages 1-18, April.
    9. Chia-Nan Wang & Nhat-Luong Nhieu & Trang Thi Thu Tran, 2021. "Stochastic Chebyshev Goal Programming Mixed Integer Linear Model for Sustainable Global Production Planning," Mathematics, MDPI, vol. 9(5), pages 1-22, February.
    10. Borna Dasović & Uroš Klanšek, 2022. "A Review of Energy-Efficient and Sustainable Construction Scheduling Supported with Optimization Tools," Energies, MDPI, vol. 15(7), pages 1-17, March.
    11. Mateusz Trzeciak & Izabela Jonek-Kowalska, 2021. "Monitoring and Control in Program Management as Effectiveness Drivers in Polish Energy Sector. Diagnosis and Directions of Improvement," Energies, MDPI, vol. 14(15), pages 1-25, July.

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