Multi-echelon reverse logistics network design in the context of circular economy: a Hong Kong case study.

The management of construction and demolition waste (CDW) is emerging as a significant global challenge. Traditional methods such as direct landfill and incineration fail to handle the vast amount of CDW properly, resulting in serious social and environmental issues. In this context, the constructio...

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Publicado en:Humanities & Social Sciences Communications Vol. 12; no. 1; pp. 1 - 16
Autores principales: Kang, Kai, Tan, Bing Qing
Formato: Artículo
Publicado: Springer Nature 1/10/2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        10.1057/s41599-024-04323-4
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        atl: Multi-echelon reverse logistics network design in the context of circular economy: a Hong Kong case study.
      aug:
        au:
          Kang, Kai
          Tan, Bing Qing
        affil:
          https://ror.org/01vy4gh70 College of Economics, Shenzhen University, 518055, Shenzhen, PR China
          https://ror.org/04qzpec27 College of Urban Transportation and Logistics, Shenzhen Technology University, 518118, Shenzhen, PR China
      su:
        Construction & demolition debris
        Reverse logistics
        Circular economy
        Carbon emissions
        Operating costs
      sug:
        subj:
          Construction & demolition debris
          Reverse logistics
          Circular economy
          Carbon emissions
          Operating costs
      ab: The management of construction and demolition waste (CDW) is emerging as a significant global challenge. Traditional methods such as direct landfill and incineration fail to handle the vast amount of CDW properly, resulting in serious social and environmental issues. In this context, the construction industry has increasingly recognized the importance of CDW recycling and recovery. Consequently, construction industry leaders are advocating for development of reverse logistics networks for multiple types of CDW by solving a multi-objective mixed-integer linear programming model, which aims to restore waste for new structures toward circular economy. This model reduces landfill waste and maximizes the value of CDW, while minimizing total cost and negative environmental impact by integrating with the government under uncertainties to encourage sustainable management of CDW. A real-world case study from Hong Kong is conducted to examine and validate the practicability of the proposed model. Experimental results show that transportation activities have a significant impact on the reverse logistics network design since they are costly and generate the largest share of carbon emissions. In addition, a regulatory mechanism, i.e., setting carbon emission caps, proves effective in balancing facility workload and improving the utilization of underutilized facilities. The results also indicate that the proposed reverse logistics network is capable of adapting to costly transportation scenarios by prioritizing facilities with higher operational costs but lower transportation expenses.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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