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Eco-efficient supply chain networks: Development of a design framework and application to a real case study

Colicchia, Claudia; Creazza, Alessandro; Dallari, Fabrizio; Melacini, Marco


Claudia Colicchia

Alessandro Creazza

Fabrizio Dallari

Marco Melacini


© 2015 Taylor & Francis. This paper presents a supply chain network design framework that is based on multi-objective mathematical programming and that can identify 'eco-efficient' configuration alternatives that are both efficient and ecologically sound. This work is original in that it encompasses the environmental impact of both transportation and warehousing activities. We apply the proposed framework to a real-life case study (i.e. Lindt & Sprüngli) for the distribution of chocolate products. The results show that cost-driven network optimisation may lead to beneficial effects for the environment and that a minor increase in distribution costs can be offset by a major improvement in environmental performance. This paper contributes to the body of knowledge on eco-efficient supply chain design and closes the missing link between model-based methods and empirical applied research. It also generates insights into the growing debate on the trade-off between the economic and environmental performance of supply chains, supporting organisations in the eco-efficient configuration of their supply chains.


Colicchia, C., Creazza, A., Dallari, F., & Melacini, M. (2016). Eco-efficient supply chain networks: Development of a design framework and application to a real case study. Production planning & control, 27(3), 157-168.

Acceptance Date Aug 31, 2015
Online Publication Date Oct 22, 2015
Publication Date Feb 17, 2016
Deposit Date Dec 10, 2015
Publicly Available Date Nov 23, 2017
Journal Production planning & control
Print ISSN 0953-7287
Electronic ISSN 1366-5871
Publisher Taylor and Francis
Peer Reviewed Peer Reviewed
Volume 27
Issue 3
Pages 157-168
Keywords Supply chain network design, Eco-efficiency, Green supply chain management, Supply chain optimisation, Food supply chain
Public URL
Publisher URL
Additional Information This is an Accepted Manuscript of an article published by Taylor & Francis in Production planning and control on 22/10/2015, available online:


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