Weight reduction technology and supply chain network design under carbon emission restriction

As policies and regulations related to environmental protection and resource constraints are becoming increasingly tougher, corporations may face the difficulty of determining the optimal trade-offs between economic performance and environmental concerns when selecting product technology and designi...

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Veröffentlicht in:Annals of operations research Jg. 290; H. 1-2; S. 567 - 590
Hauptverfasser: Han, Shuihua, Jiang, Yue, Zhao, Ling, Leung, Stephen C. H., Luo, Zongwei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.07.2020
Springer
Springer Nature B.V
Schlagworte:
Analysis
Atmospheric carbon dioxide
Business and Management
Carbon
Combinatorics
Control
Cost analysis
Economic analysis
Economic impact
Economic models
Emissions (Pollution)
Environmental aspects
Environmental protection
Food container industry
Integer programming
Integers
Laws, regulations and rules
Linear programming
Logistics
Network design
Operations research
Operations Research/Decision Theory
Polyethylene terephthalate
Production processes
Regulations
Regulatory compliance
Route planning
Soft drinks
Some
Supply chains
Theory of Computation
Uncertainty
Vehicle routing
Weight reduction
China
Carbon emission
Weight-reduction technology
Product development
Supply chain networks
Sustainability
ISSN:0254-5330, 1572-9338
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Zusammenfassung:As policies and regulations related to environmental protection and resource constraints are becoming increasingly tougher, corporations may face the difficulty of determining the optimal trade-offs between economic performance and environmental concerns when selecting product technology and designing supply chain networks. This paper considers weight reduction technology selection and network design problem in a real-world corporation in China which produces, sells and recycles polyethylene terephthalate (PET) bottles used for soft drinks. The problem is addressed while taking consideration of future regulations of carbon emissions restrictions. First, a deterministic mixed-integer linear programming model is developed to analyze the influence of economic cost and carbon emissions for different selections in terms of the weight of PET bottle, raw material purchasing, vehicle routing, facility location, manufacturing and recycling plans, etc. Then, the robust counterpart of the proposed mixed-integer linear programming model is used to deal with the uncertainty in supply chain network resulting from the weight reduction. Finally, results show that though weight reduction is both cost-effective and environmentally beneficial, the increased cost due to the switching of the filling procedure from hot-filling to aseptic cold-filling and the incumbent uncertainties have impacts on the location of the Pareto frontier. Besides, we observe that the feasible range between economic cost and carbon emission shrinks with weightreduction; and the threshold of restricted volume of carbon emission decreases with the increase of uncertainty in the supply chain network.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-017-2696-8