TY - JOUR
T1 - Designing recycling networks for construction and demolition waste based on reserve logistics research field
AU - Pan, Xiyu
AU - Xie, Qiu
AU - Feng, Yingbin
PY - 2020
Y1 - 2020
N2 - Construction and demolition waste (CDW) has a significant effect on the environment. A well-designed recycling network is a prerequisite of CDW recycling, which is favourable for improving the recycling rate. However, the lack of quantitative tools to measure the characteristics of the construction industry has a serious effect on the effective design of CDW recycling network. Extensive studies on reverse logistics network design over the past decades have provided a solid foundation for recycling network design. Thus, in this study, reverse logistics research is explored to determine possible solutions to the issue of CDW recycling network design. This study aims to provide a model for CDW treatment plants location planning and capacity expansion planning based on the reverse logistics research in the construction industry. In our model, the conflicts between the objectives of different stakeholders and the dynamic decision-making environment in the construction industry were considered. Then, a multiperiod multi-objective mixed-integer linear programming model was developed to minimize the CDW disposal costs of contractors and to maximize the profits of recycling firms and recycling rate of CDW. Chongqing, China was selected as the case to validate the proposed model and derive managerial insights. Results show our model provides an efficient tool for CDW recycling network design.
AB - Construction and demolition waste (CDW) has a significant effect on the environment. A well-designed recycling network is a prerequisite of CDW recycling, which is favourable for improving the recycling rate. However, the lack of quantitative tools to measure the characteristics of the construction industry has a serious effect on the effective design of CDW recycling network. Extensive studies on reverse logistics network design over the past decades have provided a solid foundation for recycling network design. Thus, in this study, reverse logistics research is explored to determine possible solutions to the issue of CDW recycling network design. This study aims to provide a model for CDW treatment plants location planning and capacity expansion planning based on the reverse logistics research in the construction industry. In our model, the conflicts between the objectives of different stakeholders and the dynamic decision-making environment in the construction industry were considered. Then, a multiperiod multi-objective mixed-integer linear programming model was developed to minimize the CDW disposal costs of contractors and to maximize the profits of recycling firms and recycling rate of CDW. Chongqing, China was selected as the case to validate the proposed model and derive managerial insights. Results show our model provides an efficient tool for CDW recycling network design.
KW - construction and demolition debris
KW - construction industry
KW - waste disposal
UR - http://hdl.handle.net/1959.7/uws:55721
U2 - 10.1016/j.jclepro.2020.120841
DO - 10.1016/j.jclepro.2020.120841
M3 - Article
SN - 0959-6526
VL - 260
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 120841
ER -