2019
DOI: 10.1016/j.cie.2018.12.012
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Location-allocation problem of reverse logistics for end-of-life vehicles based on the measurement of carbon emissions

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Cited by 69 publications
(37 citation statements)
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References 54 publications
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“…Constraint (42) guarantees that assigned vehicles are able to deliver the used products from HDC centers to HPR plants. Constraint (43) guarantees that assigned vehicles are able to deliver the raw materials from suppliers to potential HPR plants. Constraint (44) guarantees that assigned vehicles are able to deliver the new products from potential HPR plants to potential HDC centers.…”
Section: Linearization Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Constraint (42) guarantees that assigned vehicles are able to deliver the used products from HDC centers to HPR plants. Constraint (43) guarantees that assigned vehicles are able to deliver the raw materials from suppliers to potential HPR plants. Constraint (44) guarantees that assigned vehicles are able to deliver the new products from potential HPR plants to potential HDC centers.…”
Section: Linearization Methodsmentioning
confidence: 99%
“…Zarbakhshnia, et al [8] proposed a multi-objective mixed-integer linear programming model for designing and planning a green forward and reverse logistics network, whereby three objectives were considered: namely (i) minimization of the total cost; (ii) minimization of CO 2 emissions; and (iii) minimize the number of machines in the production line. Xiao, et al [43] proposed a mixed integer linear programming mathematical model for a design of four-tier reverse logistics network for end-of-life vehicles under carbon tax regulation. Obviously, the carbon emissions associated with transportation and production have been widely considered in the above studies.…”
Section: Carbon Emissions and Facility Reconstruction In Reverse Logimentioning
confidence: 99%
“…All single objective models considered minimizing costs (usually including recovery costs, fixed and variable costs of facilities, transportation costs, and carbon emission costs) or maximizing profits (profits from sales of parts and materials minus costs), while multi-objective models considered both. In addition, only two papers considered carbon emission in the model [56,57]. By comparing the cost of each part of recovery and sensitivity analysis, they found that the carbon emission cost was meager under the current carbon tax, which is difficult to restrict the decision-making.…”
Section: Reverse Logistics Networkmentioning
confidence: 99%
“…Kuşakcı et al [220] modeled the problem of designing the ELV reverse logistics network for the Istanbul Metropolitan area as a fuzzy mixed-integer linear program. Xiao et al [221] developed a MILP model for constructing a fourtier reverse logistics network model, which included ELV sources, collection centers, remanufacturing centers, and dismantlers.…”
Section: Network Designmentioning
confidence: 99%