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

Author

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  • 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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    1. WoonSeong Jeong & Soowon Chang & JeongWook Son & June-Seong Yi, 2016. "BIM-Integrated Construction Operation Simulation for Just-In-Time Production Management," Sustainability, MDPI, vol. 8(11), pages 1-25, October.
    2. Lihua He & Lianying Zhang, 2013. "Dynamic priority rule-based forward-backward heuristic algorithm for resource levelling problem in construction project," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(8), pages 1106-1117, August.
    3. Aidin Delgoshaei & Timon Rabczuk & Ahad Ali & Mohd Khairol Anuar Ariffin, 2017. "An applicable method for modifying over-allocated multi-mode resource constraint schedules in the presence of preemptive resources," Annals of Operations Research, Springer, vol. 259(1), pages 85-117, December.
    4. Nashwan Dawood & Eknarin Sriprasert, 2006. "Construction scheduling using multi-constraint and genetic algorithms approach," Construction Management and Economics, Taylor & Francis Journals, vol. 24(1), pages 19-30.
    5. Servranckx, Tom & Vanhoucke, Mario, 2019. "A tabu search procedure for the resource-constrained project scheduling problem with alternative subgraphs," European Journal of Operational Research, Elsevier, vol. 273(3), pages 841-860.
    6. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    7. Konstantinos Anagnostopoulos & Georgios Koulinas, 2010. "A simulated annealing hyperheuristic for construction resource levelling," Construction Management and Economics, Taylor & Francis Journals, vol. 28(2), pages 163-175.
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    Citations

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    Cited by:

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    2. 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.
    3. 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.
    4. 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.
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    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.

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