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Abstract
Any strategy for recovering products should strategically take into consideration the fact that inverse manufacturing is always a better alternative to collection centers. Typically, these findings are characterized as multidimensional, trans disciplinary, complicated, and unstructured. Correctly installing reverse logistics systems, naturally, operational costs are decreased and customer loyalty is increased as a result of the reuse or reproduction of specific parts. With a follow-up interview to provide survey data, the main objective of this research is to analyze reverse logistics practices in this industry. The objective of this study is to identify the best inventory regulations for a reverse logistics system using a particular system. Over a particular planning horizon, it is thought that the rate of return on commodities consumed is a known continuous function. The foundation of the MOORA approach is theory in this article A multi-criteria decision-making (MCDM) model is what we suggest. The suggested method aids in creating adaptable revenue plans that are successful and efficient dependent on a number of variables. Businesses also conduct this analysis. Building new reprocessing facilities or making better use of the existing facility are tools for strategic decision-making. Given that some parts can be reused or remanufactured, it is not unexpected that well managed reverse logistics systems can boost customer loyalty and reduce operating expenses. For companies with quick product life cycles, like those in the mobile phone industry, this is crucial. The main goal of this study is to present the findings of a pilot survey and follow-up interviews that were done to look into the reverse logistics practices in this industry. Design, technique, and approach – A questionnaire survey was given to the industrial participants, and follow-up interviews were conducted with the respondents. Results - The industry needs reverse logistics systems, but their relative lack of relevance in comparison to other problems continues to be a significant roadblock to their implementation.