A MODEL FOR SHAPING REVERSE LOGISTICS IN MANUFACTURING COMPANIES USING INDICATOR ANALYSIS

Purpose:The aim of the study was to modify the classic SCOR model to include a key area for manufacturing companies (quality control) and to propose a herarhical set of key performance indicators designed to measure the implementation of selected processes in line with reverse logistics and the idea of sustainable development.Design/methodology/approach: The study addresses the topics of indicator analysis and sustainability in the context of quality control implementation.The developed set of metrics was based on a modified SCOR supply chain model taking into account quality control and reverse logistics.Findings: Using the assumptions of the SCOR model in constructing a set of metrics allows it to be extended in the context of key supply chain links as well as defining hierarchical performance measurement.Research limitations/implications: A limitation of the proposed model was the lack of consideration of important business processes (sales, marketing, product development).The SCOR model lacks a link to the strategy and objectives of the supply chains considered.Further research will look at extending the model with missing elements and detailing the quality control process as envisaged by the SCOR model at level two adequately to the types of quality control occurring in the manufacturing space (input, inter-operational and final quality control).Practical implications: The proposed universal set of indicators and yardsticks is intended to enable its implication in manufacturing enterprises in the form of a traditional model (no recycling) or under conditions of reverse logistics application.The model makes it possible to compare the two options and choose the more efficient one. Social implications:The developed model for analysing the efficiency of one link in the supply chain allows the efficiency of reverse logistics to be monitored, which is closely related to the implication of the concept of sustainability in manufacturing enterprises.Originality/value: Modification of the SCOR supply chain model to include quality control and the return aspect in the production context.Based on which, a proprietary set of indicators was developed.

Publication Details

Journal
Scientific Papers of Silesian University of Technology Organization and Management Series
Published
2025-01-01
DOI
https://doi.org/10.29119/1641-3466.2025.223.2
Primary Topic
Quality and Management Systems
Type
article
Field-Weighted Citation Impact
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article

A MODEL FOR SHAPING REVERSE LOGISTICS IN MANUFACTURING COMPANIES USING INDICATOR ANALYSIS

Scientific Papers of Silesian University of Technology Organization and Management Series
Quality and Management Systems
article

A MODEL FOR SHAPING REVERSE LOGISTICS IN MANUFACTURING COMPANIES USING INDICATOR ANALYSIS

article en

Abstract

Purpose:The aim of the study was to modify the classic SCOR model to include a key area for manufacturing companies (quality control) and to propose a herarhical set of key performance indicators designed to measure the implementation of selected processes in line with reverse logistics and the idea of sustainable development.Design/methodology/approach: The study addresses the topics of indicator analysis and sustainability in the context of quality control implementation.The developed set of metrics was based on a modified SCOR supply chain model taking into account quality control and reverse logistics.Findings: Using the assumptions of the SCOR model in constructing a set of metrics allows it to be extended in the context of key supply chain links as well as defining hierarchical performance measurement.Research limitations/implications: A limitation of the proposed model was the lack of consideration of important business processes (sales, marketing, product development).The SCOR model lacks a link to the strategy and objectives of the supply chains considered.Further research will look at extending the model with missing elements and detailing the quality control process as envisaged by the SCOR model at level two adequately to the types of quality control occurring in the manufacturing space (input, inter-operational and final quality control).Practical implications: The proposed universal set of indicators and yardsticks is intended to enable its implication in manufacturing enterprises in the form of a traditional model (no recycling) or under conditions of reverse logistics application.The model makes it possible to compare the two options and choose the more efficient one. Social implications:The developed model for analysing the efficiency of one link in the supply chain allows the efficiency of reverse logistics to be monitored, which is closely related to the implication of the concept of sustainability in manufacturing enterprises.Originality/value: Modification of the SCOR supply chain model to include quality control and the return aspect in the production context.Based on which, a proprietary set of indicators was developed.

Scientific Papers of Silesian University of Technology Organization and Management SeriesVol. 2025(223)
Decent work and economic growth
Openalex Percentile: Top 77%
Quality and Management Systems
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A MODEL FOR SHAPING REVERSE LOGISTICS IN MANUFACTURING COMPANIES USING INDICATOR ANALYSIS · Scientific Papers of Silesian University of Technology Organization and Management Series (2025) | TGRS Research Map | TGRS