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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/26069

Title: A hybrid multi-criteria decision model for performance evaluation of sustainable supply chain
Authors: Ahmed, Karim H.H.
Pathak, Devendra K.
Shankar, Ravi
Choudhary, Alok K.
Keywords: Multi criteria decision making
Text mining
Sustainable supply chain
Issue Date: 2016
Publisher: © The Authors
Citation: AHMED, K. ... et al, 2016. A hybrid multi-criteria decision model for performance evaluation of sustainable supply chain. 5th World Conference on Production and Operations Management, Havana, Cuba, 6th-10th September 2016.
Abstract: The implementation of Sustainable Supply Chain Management (SSCM) is at the forefront of organizational activities. However, with a lack of unanimity regarding the implementation of Key Performance Indicators (KPIs), and the ambiguity surrounding decision making in this turbulent and chaotic environment, it is a tasking process. This paper brings together the KPIs identified from literature and practice via Systematic Literature Network Analysis (SLNA) and Text Mining. Subsequently, this paper evaluates and weights these KPIs through expert opinions via an online survey grounded on a 4-level hierarchical Multi Criteria Decision Making (MCDM) model hinged on FAHP, FTOPSIS and TISM.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/26069
Publisher Link: http://www.pomhavana2016.com/index.php?module=invitation
Appears in Collections:Conference Papers and Presentations (Business)

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