A multi-objective mixed-integer linear model for sustainable fruit closed-loop supply chain network

PurposeThis paper aims to present a closed-loop supply chain (CLSC) optimization problem for a perishable agricultural product to achieve three pillars of sustainability, including minimizing total network costs and carbon dioxide emissions from different network activities and maximizing responsive...

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Veröffentlicht in:Management of environmental quality Jg. 31; H. 5; S. 1351 - 1373
Hauptverfasser: Jabarzadeh, Younis, Reyhani Yamchi, Hossein, Kumar, Vikas, Ghaffarinasab, Nader
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bradford Emerald Publishing Limited 10.08.2020
Emerald Group Publishing Limited
Schlagworte:
Agricultural production
Agricultural products
Agriculture
Algorithms
Carbon dioxide
Carbon dioxide emissions
Competitive advantage
Computer applications
Computing time
Costs
Crops
Design optimization
Distribution centers
Environmental indicators
Environmental quality
Food
Food supply
Fruit
Fruits
Healthy food
Horticulture
Indicators
Integer programming
Inventory
Linear analysis
Linear programming
Literature reviews
Logistics
Mathematical models
Measures
Methodological problems
Mixed integer
Networks
Optimization
Pareto optimum
Product development
Product returns
Research design
Research methodology
Responsiveness
Reverse logistics
Social indicators
Supply
Supply chains
Sustainability
Technology adoption
Vegetables
Multi-objective optimization
Sustainable supply chains
Closed-loop network
Reverse logistics
ISSN:1477-7835, 1758-6119
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Zusammenfassung:PurposeThis paper aims to present a closed-loop supply chain (CLSC) optimization problem for a perishable agricultural product to achieve three pillars of sustainability, including minimizing total network costs and carbon dioxide emissions from different network activities and maximizing responsiveness to demands simultaneously.Design/methodology/approachThe research problem is formulated as a multi-objective mixed-integer linear programming model, and classical approaches, including the LP-Metric and weighted Tchebycheff method, have been applied to solve the optimization model. A set of test problems has been proposed to validate the model, and the results are presented.FindingsComputational time to find Pareto optimal solutions by using the weighted Tchebycheff method was twice as much as that of the LP-Metric method. Also, the result of the study is a mathematical model that can be applied to other products that are close to the fruit, such as vegetables.Research limitations/implicationsThe present study is limited to fruits supply chains and the inventory is considered at the distribution centers only. The study also considers only one type of transport.Practical implicationsThe paper can assist supply chain managers to define strategies to achieve a sustainable CLSC network configuration for the fruits.Originality/valueThis study is one of the early studies to consider environmental indicators in fruits supply chain design along with two other indicators of sustainability, namely, economic and social indicators. Therefore, this can help supply chain managers to achieve sustainability by optimizing location decisions, inventory quantities and flow between facilities.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1477-7835
1758-6119
DOI:10.1108/MEQ-12-2019-0276