Sustainable modeling in reverse logistics strategies using fuzzy MCDM

Purpose Globalization in supply chain networks is urging manufacturing companies for the production of sustainable products with re-engineering technologies that offer competitive advantage in current market. However, the increasing sustainable illumes are influencing reverse logistics (RL) systems to analyze their impacts on economy, environment and society. Recently, China’s $62bn investment under the egis of China Pakistan Economic Corridor (CPEC), which comprises a number of infrastructure and energy projects is developing Pakistan as a part of “One Belt One Road” initiative. Accordingly, a substantial number of economical, ecological and social exercises will occur in closest future. The purpose of this paper is to investigate the impact of sustainable practices, i.e., environmental, economic and social sustainability on RL recovery options. Design/methodology/approach Sustainable concepts including environmental, economic and social and RL recovery options are extracted through extensive literature review. A number of researchers used a variety of methodologies for achieving their research objectives. However, the authors will be using a combination of VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) and grey relational analysis (GRA) technique under fuzzy environment in the case of CPEC. Findings Results show that waste management, impact on bio-diversity and economic growth are the most significant factors in designing sustainable RL recovery options. Moreover, remanufacture and reuse rank top among RL recovery options due their significant economic and environmental effects, whereas recycle and resell position last due to their high cost and cutting edge modern technologies. Practical implications Finally based on this model, it is possible for authorities to design a sustainable RL strategy for efficient operations in case of CPEC projects and other developing countries as well. Originality/value Negligible work has been done regarding sustainable modeling in RL strategies using a combination of VIKOR and GRA techniques subjected to fuzzy environment in the case of CPEC from perspective of developing country, i.e., Pakistan.