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An ANP-Based Model for an Effective Green Supply Chain Management

An ANP-Based Model for an Effective Green Supply Chain Management

Fabio De Felice, Antonella Petrillo, Maria Grazia Gnoni
Copyright: © 2012 |Volume: 3 |Issue: 3 |Pages: 14
ISSN: 1947-9573|EISSN: 1947-9581|EISBN13: 9781466610811|DOI: 10.4018/jal.2012070101
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MLA

De Felice, Fabio, et al. "An ANP-Based Model for an Effective Green Supply Chain Management." IJAL vol.3, no.3 2012: pp.1-14. http://doi.org/10.4018/jal.2012070101

APA

De Felice, F., Petrillo, A., & Gnoni, M. G. (2012). An ANP-Based Model for an Effective Green Supply Chain Management. International Journal of Applied Logistics (IJAL), 3(3), 1-14. http://doi.org/10.4018/jal.2012070101

Chicago

De Felice, Fabio, Antonella Petrillo, and Maria Grazia Gnoni. "An ANP-Based Model for an Effective Green Supply Chain Management," International Journal of Applied Logistics (IJAL) 3, no.3: 1-14. http://doi.org/10.4018/jal.2012070101

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Abstract

Green Supply Chain Management (GSCM) has becoming an imperative issue for several supply chains (SCs) due to environmental burdens defined by international legislation and to increasing costs of such a resource. The present paper proposes a decision support system aiming to evaluate more effective GSCM strategies. Thus, environmental performance of the whole supply chain, and consequently of each supplier involved, must be compared in a standardized and quantitative way. Thus, the proposed approach integrates index methods for Environmental Performance Evaluation (EPE) in developing a multi-criteria model based on the Analytic Network Process (ANP) technique. The integration overcomes criticalities of the two models. The approach has been validated in a real case study concerning the glass windscreen production supply chain.

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