A Reverse Logistics Model for Green Products with Carbon Emission under Green Technology and Consumer Concern

In the prevailing global scenario, characterized by heightened carbon concerns and inadequate waste management, a systematic approach to product lifecycle management is essential. This proposed model tackles the challenge by methodically handling used products through collection, disassembly, and distribution based on their intrinsic value. With a primary focus on minimizing waste at the end of the cycle and considering carbon emissions, the model seamlessly integrates production and remanufacturing while accommodating fluctuating inflation rates over time. Crucially, it ensures that remanufactured items maintain parity with their original counterparts, accounting for the natural degradation of stored items. Numerical verification enhances the theoretical framework, providing a visual representation of anticipated results, and sensitivity analyses explore various parameters, contributing to a comprehensive understanding of the intricate dynamics between production, remanufacturing, and waste reduction.

Authors

Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2025-02-22
DOI
https://doi.org/10.52783/cana.v32.3994
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00
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article

A Reverse Logistics Model for Green Products with Carbon Emission under Green Technology and Consumer Concern

Ashok Kumar
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Communications on Applied Nonlinear Analysis
Sustainable Supply Chain Management
article

A Reverse Logistics Model for Green Products with Carbon Emission under Green Technology and Consumer Concern

Ashok Kumar
article en

Abstract

In the prevailing global scenario, characterized by heightened carbon concerns and inadequate waste management, a systematic approach to product lifecycle management is essential. This proposed model tackles the challenge by methodically handling used products through collection, disassembly, and distribution based on their intrinsic value. With a primary focus on minimizing waste at the end of the cycle and considering carbon emissions, the model seamlessly integrates production and remanufacturing while accommodating fluctuating inflation rates over time. Crucially, it ensures that remanufactured items maintain parity with their original counterparts, accounting for the natural degradation of stored items. Numerical verification enhances the theoretical framework, providing a visual representation of anticipated results, and sensitivity analyses explore various parameters, contributing to a comprehensive understanding of the intricate dynamics between production, remanufacturing, and waste reduction.

Communications on Applied Nonlinear AnalysisVol. 32(9s)
Openalex Percentile: Top 91%
Sustainable Supply Chain Management
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