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A multi-objective location-allocation optimization for sustainable management of municipal solid waste

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Abstract

The location problem of treatment and service facilities in municipal solid waste (MSW) management system is of significant importance due to the socioeconomic and environmental concerns. The consideration of waste treatment costs, environmental impact, greenhouse gas (GHG) emissions, social fairness as well as other relevant aspects should be simultaneously taken into account when a MSW management system is planned. Development of sophisticated decision support tools for planning MSW management system in an economic-efficient and environmental friendly manner is therefore important. In this paper, a general multi-objective location-allocation model for optimally managing the interactions among those conflicting factors in MSW management system is proposed. The model is comprised of a three-stage conceptual framework and a mixed integer mathematical programming. The inclusion of environmental impact and GHG emission objectives push the output of the model tightening toward more environmentally friendly and sustainable solutions in MSW management. The application of this model is demonstrated through an illustrative example, and the computational efficiency of the programming is also tested through a set of incremental parameters. Latter in this paper, a comparison with previous case studies of MSW system design is presented in order to show the applicability and adaptability of the generic model in practical decision-making process, and the perspectives of future study are also discussed.

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Acknowledgement

The authors would like to thank the two anonymous reviewers and the editor for their constructive comments and suggestions that helped to significantly improve the quality and presentation of this research. The authors would like to place sincere thanks to the financial support from “Development grant program” (40033350-4033002) by Nordland County, Norway. The funding has enabled in a cooperating project between Narvik University College and Zhejiang University of Technology with this paper as one of the results.

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Authors and Affiliations

  1. Department of Industrial Engineering, Faculty of Engineering Science and Technology, UiT The Arctic University of Norway, Postboks 385, Lodve Langes gate 2, 8505, Narvik, Norway

    Hao Yu & Wei Deng Solvang

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  1. Hao Yu
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  2. Wei Deng Solvang
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Correspondence to Hao Yu.

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Yu, H., Solvang, W.D. A multi-objective location-allocation optimization for sustainable management of municipal solid waste. Environ Syst Decis 37, 289–308 (2017). https://doi.org/10.1007/s10669-017-9632-y

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