Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/51522

TitleGreen supply chain design: a mathematical modeling approach based on a multi-objective optimization model
Author(s)Nurjanni, Kartina Puji
Carvalho, Maria Sameiro
Costa, Lino
KeywordsGreen supply chain
Closed loop network
Multi-objective optimization
Weighted sum method
Tchebycheff approach
Issue date2017
PublisherElsevier
JournalInternational Journal of Production Economics
Abstract(s)Increasing levels of industrialization of developed nations associated with globalization trends have been creating new challenges to supply chain management (SCM). for decades, the main focus of SCM has been on efficient ways of managing the flows through complex networks of supplier, producers and customers. More recently, and as a result of the exponential increase of energy and materials consumption rates of energy and materials, sustainable development arise as an urgent issue and new approaches to SCM are required to incorporate environmental and economic concerns in the design of supply chains. In this paper, a new green supply chain (GSC) design approach has been proposed to deal with the trade-offs between environmental and financial issues in order to reduce negative impacts on the environment caused by the increasing levels of industrialization. The new approach incorporates a closed loop network to accommodate the reprocessing paradigm of disposal products and a multi-objective optimization mathematical model to minimize overall costs and carbon dioxide emissions when setting the supply chain. Optimization process is performed using three scalarization approaches, namely weighted sum method, weighted Tchebycheff and augmented weighted Tchebycheff. Computational results are analyzed to identify the advantages and drawbacks of each approach. The model was tested in a case study and results allowed to identify the capability of the model to deal with the trade-offs between the costs and environmental issues as well as to identify its main limitation when addressing real size problems.
TypeArticle
URIhttp://hdl.handle.net/1822/51522
DOI10.1016/j.ijpe.2016.08.028
ISSN0925-5273
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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