Development of a multi-objective model for the design of sustainable supply chains: the case of perishable food products
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Development of a multi‑objective model for the design of sustainable supply chains: the case of perishable food products Volha Yakavenka1 · Ioannis Mallidis1 · Dimitrios Vlachos1 · Eleftherios Iakovou2 · Zafeiriou Eleni3
© Springer Science+Business Media, LLC, part of Springer Nature 2019
Abstract The role of sustainability in the function of a company and more specifically a food company is pivotal for its financial performance. The environmental issues as well as the potential economic gains from the implementation of its principles ask for the use of multiple instruments that have been developed to green supply chains. Moreover, social issues also arise and involve the food companies social responsibility, as this can be realized through the supply of fresh products that meet consumption security standards. On this basis, the strategic design of these companies’ supply chains can assists them towards meeting their sustainability objectives as it may lead to the selection of transportation modes, location of entry points and distribution centers, and flows between the nodes of the networks under cost, environmental and social impact minimization criteria. Under this context the purpose of this manuscript is to develop and employ a multi-objective (namely cost, socialtime and emission minimization) mixed integer linear programming decision-making model for the network design of sustainable supply chains of perishable food products. The specific model was implemented in the case of a fruits importer in the North-Eastern European region considering its geographical settings. To synopsize and according to our findings the suggested model is an easy to use decision-making tool that leads to a whole set of possible solutions incorporating trade-offs between three aspects of sustainability. Keywords Sustainable supply chain · Supply chain design · Perishable food products · Decision-making · Multi-objective optimization
* Volha Yakavenka [email protected] 1
Laboratory of Statistics and Quantitative Analysis Methods (Logistics and Supply Chain Management) (LASCM), Mechanical Engineering Department, Aristotle University of Thessaloniki, Thessaloníki, Greece
2
Engineering Technology and Industrial Distribution Department, Texas A&M University, College Station, TX, USA
3
Laboratory of Applied Economic Statistics and Informatics, Department of Agricultural Development, Democritus University of Thrace, Orestiada, Greece
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Vol.:(0123456789)
Annals of Operations Research
1 Introduction The global food and grocery retail market exhibits a significant growth in recent years and is expected to reach USD 12.24 trillion by 2020 owing to the rise of global population (Grand View Research 2018). This has led to increase in the global perishable goods logistics market with the attendant specific challenges and risks among which food waste and ecological issues are most urgent. According to FAO (2018) one third of food produced for human consumption and almost half of fruit and vegetables are lost or wasted ac
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