Title: Application of fuzzy technique for closed loop decision in clothing value chain

Authors: Manoj Kumar Paras; Antonela Curteza

Addresses: Faculty of Textiles, Leather and Industrial Management, Gheorghe Asachi Technical University of Iasi, Bulevardul Profesor Dimitrie Mangeron 67, Iasi 700050, Romania; Department of Business Administration and Textile Management, University of Boras, Allegatan 1, Boras SE-501 90, Sweden; School of Textile and Clothing Engineering, Soochow University, Suzhou 215021, China ' Faculty of Textiles, Leather and Industrial Management, Gheorghe Asachi Technical University of Iasi, Bulevardul Profesor Dimitrie Mangeron 67, Iasi 700050, Romania

Abstract: Increasing concern over the environment has encouraged consumer and industry to think about the huge amount of discarded clothes. This study has considered four methods: direct reuse, up-cycling, down-cycling and incineration to close the loop of clothing value chain. Three factors (material, economy and technology) affecting closed loop decision have been identified. These factors have a different degree of influences on the decision making the process of closed loop clothing value chain. Research data has been collected from the reverse logistic experts from clothing industry. The fuzzy technique has been used to quantify the response of experts. Findings have been analysed with the help of analytic hierarchy process technique. The material factor is found to dominating factor in the closed loop decisions over economy and technology. Up-cycling and direct reuse emerged to be the best alternatives in the current scenario. The clothing companies may replicate this approach of developing hierarchy model to choose best alternatives for the closed loop value chain.

Keywords: closed loop chain; clothing value chain; reuse; fuzzy technique; analytic hierarchy process; AHP.

DOI: 10.1504/IJVCM.2018.092384

International Journal of Value Chain Management, 2018 Vol.9 No.2, pp.105 - 121

Received: 23 May 2017
Accepted: 09 Sep 2017

Published online: 17 Jun 2018 *

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