Yousaf Ali, Khaqan Zeb, Abdul Haseeb Khan Babar and Muhammad Asees Awan
The purpose of this research is to identify major barriers to the implementation of reverse logistics (RL). Also, the study addresses best practices among reuse, remanufacture…
Abstract
Purpose
The purpose of this research is to identify major barriers to the implementation of reverse logistics (RL). Also, the study addresses best practices among reuse, remanufacture, recycling, refurbishment and repair as alternatives for RL processes.
Design/methodology/approach
This study targets supply chain management experts for their opinions regarding the identification of critical barriers and alternatives for RL implementation. Their opinions were extracted through a Web questionnaire based on 14 criteria with 5 alternatives. The tools of multi-criteria decision-making are used for analysis, i.e. fuzzy VIKOR and fuzzy TOPSIS.
Findings
The results indicate that lack of recognition of competitive advantage to be gained through RL practice is the most critical barrier to RL implementation. The least barrier or major facilitator for RL is “supportive initiative for end-of-life products.” The top-ranked alternative in this study is reuse followed by remanufacturing. The least important alternative is “repair” in the case of Pakistan. These alternatives are ranked based on “q values” derived through fuzzy VIKOR.
Research limitations/implications
The results of this study can only be generalized for the manufacturing sector of Pakistan during the period of the study.
Practical implications
The findings of this study will assist managers in deploying the best practices concerning RL.
Originality/value
Fuzzy VIKOR and fuzzy TOPSIS have not been applied to RL alternatives in previous research.
Details
Keywords
Muhammad Asees Awan and Yousaf Ali
Globalization in supply chain networks is urging manufacturing companies for the production of sustainable products with re-engineering technologies that offer competitive…
Abstract
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.