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Multi-objective bilevel construction material transportation scheduling in large-scale construction projects under a fuzzy random environment

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  • Jiuping Xu
  • Jun Gang

Abstract

This paper investigates a transportation scheduling problem in large-scale construction projects under a fuzzy random environment. The problem is formulated as a fuzzy, random multi-objective bilevel optimization model where the construction company decides the transportation quantities from every source to every destination according to the criterion of minimizing total transportation cost and transportation time on the upper level, while the transportation agencies choose their transportation routes such that the total travel cost is minimized on the lower level. Specifically, we model both travel time and travel cost as triangular fuzzy random variables. Then the multi-objective bilevel adaptive particle swarm optimization algorithm is proposed to solve the model. Finally, a case study of transportation scheduling for the Shuibuya Hydropower Project in China is used as a real world example to demonstrate the practicality and efficiency of the optimization model and algorithm.

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  • Jiuping Xu & Jun Gang, 2013. "Multi-objective bilevel construction material transportation scheduling in large-scale construction projects under a fuzzy random environment," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(4), pages 352-376, June.
    • Handle: RePEc:taf:transp:v:36:y:2013:i:4:p:352-376
    DOI: 10.1080/03081060.2013.798486
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    Cited by:

    1. Hao Wang & Quan Liu & Hongyang Zhang & Yinlong Jin & Wenzhen Yu, 2022. "A Two-Stage Decision-Making Method Based on WebGIS for Bulk Material Transportation of Hydropower Construction," Energies, MDPI, vol. 15(5), pages 1-21, February.

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