Hybrid Approach: A Multi-Criteria Decision-Making Method for Reverse Logistics Provider Selection

Due to governmental laws and increased environmental consciousness among people aimed at reducing waste, the rise in the return of old goods has gained relevance as a logistics problem. Industry-specific infrastructure, monitoring information systems, and return-handling equipment are often required. Since they specialize in reverse logistics, third-party providers (3PRLPs) are currently in high demand across a wide range of businesses. The Hybrid decision-making method is a novel and methodical approach to decision-making that aids people or organizations in assessing a group of possibilities in light of several factors. Therefore, in this study, the third-party providers (3PRLPs) who specialize in reverse logistics were ranked utilizing Hybrid decision-making method methodologies. This study offers a novel method for identifying the best 3PRLP (third-party reverse logistics provider), using a multi-criteria group decision-making (MCGDM) model within the Hybrid decision-making method framework. The study digs into the relationships between the factors considered during this selection process, which finally results in the selection of the best 3PRLP out of a possible pool of six options. The Hybrid decision-making method technique is used in this research to prioritize orders based on how closely they resemble the ideal solution. The practical utility of the model is demonstrated through a case study focused on the battery manufacturing industry in India. The 3PRLP3 got the first rank and the 3PRLP2 got the last rank. 3PRLP1 is second rank, 3PRLP5 is third rank, 3PRLP6 is fourth rank and 3PRLP4 is fifth rank.

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Publication Details

Journal
International Journal of Computer Science and Data Engineering
Published
2025-01-01
DOI
https://doi.org/10.55124/csdb.v2i3.251
Primary Topic
Outsourcing and Supply Chain Management
Type
article
Field-Weighted Citation Impact
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article

Hybrid Approach: A Multi-Criteria Decision-Making Method for Reverse Logistics Provider Selection

Tejasvi Gorre
International Journal of Computer Science and Data Engineering
Outsourcing and Supply Chain Management
article

Hybrid Approach: A Multi-Criteria Decision-Making Method for Reverse Logistics Provider Selection

Tejasvi Gorre
article en

Abstract

Due to governmental laws and increased environmental consciousness among people aimed at reducing waste, the rise in the return of old goods has gained relevance as a logistics problem. Industry-specific infrastructure, monitoring information systems, and return-handling equipment are often required. Since they specialize in reverse logistics, third-party providers (3PRLPs) are currently in high demand across a wide range of businesses. The Hybrid decision-making method is a novel and methodical approach to decision-making that aids people or organizations in assessing a group of possibilities in light of several factors. Therefore, in this study, the third-party providers (3PRLPs) who specialize in reverse logistics were ranked utilizing Hybrid decision-making method methodologies. This study offers a novel method for identifying the best 3PRLP (third-party reverse logistics provider), using a multi-criteria group decision-making (MCGDM) model within the Hybrid decision-making method framework. The study digs into the relationships between the factors considered during this selection process, which finally results in the selection of the best 3PRLP out of a possible pool of six options. The Hybrid decision-making method technique is used in this research to prioritize orders based on how closely they resemble the ideal solution. The practical utility of the model is demonstrated through a case study focused on the battery manufacturing industry in India. The 3PRLP3 got the first rank and the 3PRLP2 got the last rank. 3PRLP1 is second rank, 3PRLP5 is third rank, 3PRLP6 is fourth rank and 3PRLP4 is fifth rank.

International Journal of Computer Science and Data EngineeringVol. 2(3)
Openalex Percentile: Top 70%
Outsourcing and Supply Chain Management
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