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Supply chain network design considering sustainable development paradigm: A case study in cable industry.

Authors :
Sherafati, Mahtab
Bashiri, Mahdi
Tavakkoli-Moghaddam, Reza
Pishvaee, Mir Saman
Source :
Journal of Cleaner Production. Oct2019, Vol. 234, p366-380. 15p.
Publication Year :
2019

Abstract

The concern about environmental and social impacts of business activities has led to introducing a new paradigm called, sustainable development. It can help to build a low-carbon high-growth global economy and guarantee the global well-being of people. In this paper, three pillars of sustainable development, i.e., economic, environmental, and social, are considered and discussed to design a supply chain network. The proposed model tries to maximize profit primarily while capturing societal community development by prioritizing the less developed regions. Moreover, the model ensures that the environmentally friendly facilities can operate in the supply chain network while others have to be repaired. Furthermore, quantifying the benefits of transportation decisions in terms of both cost and environmental impact savings to improve the sustainability of logistics systems is considered. In addition, the model is regarded as robust programming for the problem to approximate real situations. The proposed model is implemented in some numerical examples and in a real case study. Numerical results and computational analysis are indicative of the significance of the model and through conducting the case study, it is demonstrated that the proposed model can be implemented successfully in practice and it would be beneficial to all the three pillars of sustainable development. Moreover, the managerial insights for the managers of the supply chain networks are provided to make the most appropriate decisions. • Presenting a sustainable supply chain network design model considering a weighted balanced regional development scheme. • Proposing an innovative methodology for estimating the sustainability dimensions. • Tackling an uncertain parameter and utilizing robust optimization to create a protected solution against uncertainty. • Applying the proposed model in a case study and providing the managerial insights for the managers of the supply chain. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09596526
Volume :
234
Database :
Academic Search Index
Journal :
Journal of Cleaner Production
Publication Type :
Academic Journal
Accession number :
137683064
Full Text :
https://doi.org/10.1016/j.jclepro.2019.06.095