Optimizing the WEEE Recovery Network Associated with Environmental Protection Awareness and Government Subsidy by Nonlinear Mixed Integer Programming

Recovery of waste electrical and electronic equipment (WEEE) plays an important role in protecting environment and conserving resources. Design of a more efficient WEEE recovery system is an imperative need for the relevant decision-makers, such as alleviation of overcapacity or insufficient recycli...

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Vydané v:Journal of advanced transportation Ročník 2019; číslo 2019; s. 1 - 21
Hlavní autori: Bo, Yanan, Wan, Zhong, Wang, Yanqi
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cairo, Egypt Hindawi Publishing Corporation 2019
Hindawi
John Wiley & Sons, Inc
Wiley
Predmet:
Algorithms
Alliances
Constraint modelling
Decision making
Design
Developing countries
Economic conditions
Economic models
Electronic equipment
Electronic equipment and supplies
Electronic waste
Environmental protection
Genetic algorithms
Government finance
Incineration
Incineration plants
Integer programming
Landfills
LDCs
Linear programming
Logistics
Metals
Mixed integer
Optimization
Planning
Prices
Pricing
Production capacity
Profits
Recycling
Recycling systems
Refuse and refuse disposal
Resource conservation
Reverse logistics
Subsidies
Supply chains
Transfer stations
Transportation planning
Vehicles
Waste disposal sites
Waste recovery
China
ISSN:0197-6729, 2042-3195
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Abstract Recovery of waste electrical and electronic equipment (WEEE) plays an important role in protecting environment and conserving resources. Design of a more efficient WEEE recovery system is an imperative need for the relevant decision-makers, such as alleviation of overcapacity or insufficient recycling in many developing countries. In this paper, we optimize the WEEE recovery network which is associated with recycling prices and government subsidies by a nonlinear mixed integer programming approach. An integrated model is first proposed to formulate a design problem of WEEE recovery network, being involved with collection centers, two types of transfer stations, processing centers, incineration plants, landfill plants, secondhand product markets, and government subsides. The recycling prices and the transported quantities of WEEE (the number of batches) are endogenous variables of the model, being subject to a number of practical constraints. For solving this model, an algorithm is developed based on the branch and bound method. Scenario analysis and numerical experiments indicate that: (1) appropriate capacities of transfer stations can be provided by the proposed model for designing an environmentally and economically efficient WEEE recycling system, especially for alleviating the existing overcapacity or insufficient recycle. (2) An optimal governmental subsidy can be obtained in virtue of the proposed model and algorithm. (3) Diversity of transportation modes and permission of more than one mode in the same delivery route can greatly reduce the cost of recycling WEEE. (4) Preferred awareness of environmental protection can increase the profit and the recycled quantities, as well as reduction of the total recycling cost.
AbstractList Recovery of waste electrical and electronic equipment (WEEE) plays an important role in protecting environment and conserving resources. Design of a more efficient WEEE recovery system is an imperative need for the relevant decision-makers, such as alleviation of overcapacity or insufficient recycling in many developing countries. In this paper, we optimize the WEEE recovery network which is associated with recycling prices and government subsidies by a nonlinear mixed integer programming approach. An integrated model is first proposed to formulate a design problem of WEEE recovery network, being involved with collection centers, two types of transfer stations, processing centers, incineration plants, landfill plants, secondhand product markets, and government subsides. The recycling prices and the transported quantities of WEEE (the number of batches) are endogenous variables of the model, being subject to a number of practical constraints. For solving this model, an algorithm is developed based on the branch and bound method. Scenario analysis and numerical experiments indicate that: (1) appropriate capacities of transfer stations can be provided by the proposed model for designing an environmentally and economically efficient WEEE recycling system, especially for alleviating the existing overcapacity or insufficient recycle. (2) An optimal governmental subsidy can be obtained in virtue of the proposed model and algorithm. (3) Diversity of transportation modes and permission of more than one mode in the same delivery route can greatly reduce the cost of recycling WEEE. (4) Preferred awareness of environmental protection can increase the profit and the recycled quantities, as well as reduction of the total recycling cost.
Recovery of waste electrical and electronic equipment (WEEE) plays an important role in protecting environment and conserving resources. Design of a more efficient WEEE recovery system is an imperative need for the relevant decision-makers, such as alleviation of overcapacity or insufficient recycling in many developing countries. In this paper, we optimize the WEEE recovery network which is associated with recycling prices and government subsidies by a nonlinear mixed integer programming approach. An integrated model is first proposed to formulate a design problem of WEEE recovery network, being involved with collection centers, two types of transfer stations, processing centers, incineration plants, landfill plants, secondhand product markets, and government subsides. The recycling prices and the transported quantities of WEEE (the number of batches) are endogenous variables of the model, being subject to a number of practical constraints. For solving this model, an algorithm is developed based on the branch and bound method. Scenario analysis and numerical experiments indicate that: ( 1 ) appropriate capacities of transfer stations can be provided by the proposed model for designing an environmentally and economically efficient WEEE recycling system, especially for alleviating the existing overcapacity or insufficient recycle. ( 2 ) An optimal governmental subsidy can be obtained in virtue of the proposed model and algorithm. ( 3 ) Diversity of transportation modes and permission of more than one mode in the same delivery route can greatly reduce the cost of recycling WEEE. ( 4 ) Preferred awareness of environmental protection can increase the profit and the recycled quantities, as well as reduction of the total recycling cost.
Audience Academic
Author Wan, Zhong
Wang, Yanqi
Bo, Yanan
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CitedBy_id crossref_primary_10_1080_00207543_2021_1904160
crossref_primary_10_1007_s12063_020_00151_2
crossref_primary_10_1016_j_wasman_2023_05_008
crossref_primary_10_1016_j_jclepro_2022_131349
crossref_primary_10_35208_ert_1510273
crossref_primary_10_1007_s10878_020_00677_y
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Copyright Copyright © 2019 Yanan Bo et al.
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Snippet Recovery of waste electrical and electronic equipment (WEEE) plays an important role in protecting environment and conserving resources. Design of a more...
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SubjectTerms Algorithms
Alliances
Constraint modelling
Decision making
Design
Developing countries
Economic conditions
Economic models
Electronic equipment
Electronic equipment and supplies
Electronic waste
Environmental protection
Genetic algorithms
Government finance
Incineration
Incineration plants
Integer programming
Landfills
LDCs
Linear programming
Logistics
Metals
Mixed integer
Optimization
Planning
Prices
Pricing
Production capacity
Profits
Recycling
Recycling systems
Refuse and refuse disposal
Resource conservation
Reverse logistics
Subsidies
Supply chains
Transfer stations
Transportation planning
Vehicles
Waste disposal sites
Waste recovery
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Title Optimizing the WEEE Recovery Network Associated with Environmental Protection Awareness and Government Subsidy by Nonlinear Mixed Integer Programming
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https://dx.doi.org/10.1155/2019/9858670
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Volume 2019
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