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Using Simulated Annealing to Solve the Multi-Depot Waste Collection Vehicle Routing Problem with Time Window and Self-Delivery Option

Author

Listed:
  • Vincent F. Yu

    (Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 106335, Taiwan
    Department of Civil and Environmental Engineering, Portland State University, Portland, OR 97201, USA)

  • Panca Jodiawan

    (Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 106335, Taiwan)

  • Shih-Wei Lin

    (Department of Information Management, Chang Gung University, Taoyuan 33302, Taiwan
    Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei 243303, Taiwan
    Department of Emergency Medicine, Keelung Chang Gung Memorial Hospital, Keelung 20401, Taiwan)

  • Winy Fara Nadira

    (Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 106335, Taiwan
    Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia)

  • Anna Maria Sri Asih

    (Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia)

  • Le Nguyen Hoang Vinh

    (Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 106335, Taiwan)

Abstract

This research introduces the Multi-Depot Waste Collection Vehicle Routing Problem with Time Windows and Self-Delivery Option (MDWCVRPTW-SDO). The problem comes from the waste bank operation implemented in Yogyakarta City, Indonesia. A set of vehicles is dispatched from the waste banks to pick up waste from residents’ locations within the time windows specified by the residents. Residents may be compensated for delivering their waste to a waste bank by themselves. The objective of MDWCVRPTW-SDO is minimizing the sum of investment costs, routing costs, and total compensation paid to the residents. We model this problem as a mixed integer linear programming model and propose Simulated Annealing (SA) as an effective solution approach. Extensive computational experiments confirm that SA is effective to solve MDWCVRPTW-SDO. Moreover, the number of waste banks, compensation paid to residents, and the distribution of residents of each type are crucial for the success of the implementation.

Suggested Citation

  • Vincent F. Yu & Panca Jodiawan & Shih-Wei Lin & Winy Fara Nadira & Anna Maria Sri Asih & Le Nguyen Hoang Vinh, 2024. "Using Simulated Annealing to Solve the Multi-Depot Waste Collection Vehicle Routing Problem with Time Window and Self-Delivery Option," Mathematics, MDPI, vol. 12(3), pages 1-20, February.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:3:p:501-:d:1333931
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    References listed on IDEAS

    as
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