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Reverse logistics (RL) practices are gaining attention due to environmental and waste disposal issues, enforced law, rapidly changing technologies and corporate social concern. Reverse logistics has been seen as a part of sustainable development due to reduction in pollution by using a product again after the end of its life. The goal of this article is to evaluate and rank the barriers of RL implementation so that companies can design strategies to tackle them on a priority basis. This article proposes multi-criteria decision-making (MCDM) model based on fuzzy analytic hierarchy process (FAHP) to prioritize the barriers of RL adoption. The proposed approach is revealed by empirical case of Indian electronics industry. This proposed method considered fuzzy framework that can handle impreciseness and uncertainty easily. Totally, 38 barriers were identified through literature review and experts’ opinions. These barriers were classified into seven major criteria. The result of the study indicates that customer acuity about RL, lack of coordination/collaboration with third-party logistics (3PL) providers and uncertain quality and timing of return are the three most important barriers of RL adoption. Organizations should overcome these barriers on a priority basis for effective RL adoption. Finally, the robustness of the model is checked by sensitivity analysis.

The present study reveals the comparison of physical properties of the bamboo/cotton blended yarn with similar 100 % cotton yarn. The bamboocotton blend ratios of each category of yarn (30 s , 40 s and 50 s ) were 67:33, 50:50, and 33:67, respectively. For each individual count of yarn, it was observed from the test result that the properties of 50:50/bamboo: cotton blended yarn showed very nearer property to the 100% cotton yarn. For Count (30 s ), 67:33/bamboo: cotton showed very closer property to the 50:50/bamboo: cotton blended yarn. It was also observed that for each count of yarns, which showed decreasing property with the increase of bamboo in the blend. The quality characters depend upon the ratio of bamboo and cotton in the blend