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An optimized MSW transfer station location system based on internet of things

Author

Listed:
  • Yi Chen

    (Hubei Polytechnic University
    Hubei Polytechnic University)

  • Feng Dai

    (Hubei Polytechnic University
    Hubei Polytechnic University)

  • Mengjuan Cao

    (Hubei Polytechnic University)

Abstract

The municipal solid waste (MSW) management is an important part of building the smart city. Waste transfer station is an important link between the upper and the lower in the MSW management. Politic, environment and economy are all need to be considered in the waste transfer station location problem. Based on that, By establishing an optimized MSW transfer station location system based on internet of things, the locations of MSW transfer station is studied. Firstly, the Ward’s clustering approach is used to obtain the waste transfer station number in the city. And then a multi-objective model is established and NSGA-II is used to solve the model to obtain the Pareto frontier solution set of waste transfer station location coordinates. According the Google map, the optimal location coordinates of waste transfer station are obtained. Finally, a case study is conducted to demonstrate the practicality and efficiency of the proposed model and solution algorithm.

Suggested Citation

  • Yi Chen & Feng Dai & Mengjuan Cao, 2021. "An optimized MSW transfer station location system based on internet of things," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(4), pages 675-688, August.
    • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:4:d:10.1007_s13198-021-01062-6
    DOI: 10.1007/s13198-021-01062-6
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    References listed on IDEAS

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    1. T.V. Ramachandra & Shruthi Bachamanda, 2007. "Environmental audit of Municipal Solid Waste Management," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 7(3/4), pages 369-391.
    2. Shabbir Uddin & Sandeep Chakravorty & Amitava Ray & Karma Sonam Sherpa, 2018. "Optimal Location of Sub-Station Using Q-GIS and Multi-Criteria Decision Making Approach," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 10(2), pages 65-79, April.
    3. Vera C. Hemmelmayr & Karl F. Doerner & Richard F. Hartl & Daniele Vigo, 2014. "Models and Algorithms for the Integrated Planning of Bin Allocation and Vehicle Routing in Solid Waste Management," Transportation Science, INFORMS, vol. 48(1), pages 103-120, February.
    4. Kirca, Omer & Erkip, Nesim, 1988. "Selecting transfer station locations for large solid waste systems," European Journal of Operational Research, Elsevier, vol. 35(3), pages 339-349, June.
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