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Robust Optimization for Integrated Construction Scheduling and Multiscale Resource Allocation

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  • Qian Li
  • Sha Tao
  • Heap-Yih Chong
  • Zhijie Sasha Dong

Abstract

This research investigates an integrated problem of construction scheduling and resource allocation. Inspired by complex construction practices, multi-time scale resources are considered for different length of terms, such as permanent staff and temporary workers. Differing from the common stochastic optimization problems, the resource price is supposed to be an uncertain parameter of which probability distribution is unknown, but observed data is given. Hence, the problem here is called Data-Driven Construction Scheduling and Multiscale Resource Allocation Problem (DD-CS&MRAP). Based on likelihood robust optimization, a multiobjective programming is developed where project completion time and expected resource cost are minimized simultaneously. To solve the problem efficiently, a double-layer metaheuristic comprised of Multiple Objective Particle Swarm Optimization (MOPSO) and interior point method named MOPSO-interior point algorithm is designed. The new solution presentation scheme and decoding process are developed. Finally, a construction case is used to validate the proposed method. The experimental results indicate that the MOPSO-interior point algorithm can reduce resource cost and improve the efficiency of resource utilization.

Suggested Citation

  • Qian Li & Sha Tao & Heap-Yih Chong & Zhijie Sasha Dong, 2018. "Robust Optimization for Integrated Construction Scheduling and Multiscale Resource Allocation," Complexity, Hindawi, vol. 2018, pages 1-17, July.
    • Handle: RePEc:hin:complx:2697985
    DOI: 10.1155/2018/2697985
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    References listed on IDEAS

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    1. Stefan Creemers, 2015. "Minimizing the expected makespan of a project with stochastic activity durations under resource constraints," Working Papers of Department of Decision Sciences and Information Management, Leuven 488396, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
    2. Xiaoyu Ji & Kai Yao, 2017. "Uncertain project scheduling problem with resource constraints," Journal of Intelligent Manufacturing, Springer, vol. 28(3), pages 575-580, March.
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    Cited by:

    1. 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.

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