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Optimizing the Construction Job Site Vehicle Scheduling Problem

Author

Listed:
  • Jaehyun Choi

    (Department of Architectural Engineering, Korea University of Technology and Education, 222 Engineering Building II, Chonan, Chungnam 31253, Korea)

  • Jia Xuelei

    (Department of Architectural Engineering, Korea University of Technology and Education, 222 Engineering Building II, Chonan, Chungnam 31253, Korea)

  • WoonSeong Jeong

    (Department of Architectural Engineering, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk 28644, Korea)

Abstract

Concrete is one of the most important, versatile, and widely used building materials worldwide. Thus, an optimized delivery schedule of ready-mixed concrete (RMC) is a critical issue that can reduce CO 2 emission from RMC delivery vehicles. RMC is the most popular form of concrete material supplied to construction projects. When delivering RMC to construction sites, optimizing the transportation can be complex since there are many alternatives in terms of route choice. The objective of this research was to optimize the travel operation of RMC delivery vehicles to ensure that they travel via the most economical routes. The researchers developed a dynamic simulation model to solve this vehicle scheduling problem (VSP), applied an ant colony optimization (ACO) algorithm as a mathematical model, and analyzed the results achieved by the basic and improved ACO methods; the goals were to reduce travel distance and improve the simulation’s performance. Ultimately, the researchers found that the improved ACO method provided a more optimized transportation solution with a higher level of efficiency.

Suggested Citation

  • Jaehyun Choi & Jia Xuelei & WoonSeong Jeong, 2018. "Optimizing the Construction Job Site Vehicle Scheduling Problem," Sustainability, MDPI, vol. 10(5), pages 1-13, April.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1381-:d:143906
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    References listed on IDEAS

    as
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    Cited by:

    1. Boda Liu & Bin Yang & Jianzhuang Xiao & Dayu Zhu & Binghan Zhang & Zhichen Wang & Miaosi Dong, 2021. "Review of Optimization Dynamically Applied in the Construction and the Application Potential of ICT," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    2. Abdul Salam Khan & Qazi Salman Khalid & Khawar Naeem & Rafiq Ahmad & Razaullah Khan & Waqas Saleem & Catalin Iulian Pruncu, 2021. "Application of Exact and Multi-Heuristic Approaches to a Sustainable Closed Loop Supply Chain Network Design," Sustainability, MDPI, vol. 13(5), pages 1-25, February.
    3. Dudu Guo & Yinuo Su & Xiaojiang Zhang & Zhen Yang & Pengbin Duan, 2024. "Multi-Objective Optimization of Short-Inverted Transport Scheduling Strategy Based on Road–Railway Intermodal Transport," Sustainability, MDPI, vol. 16(15), pages 1-25, July.

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