A holistic sustainability framework for remanufacturing under uncertainty

The manufacturing and remanufacturing sectors are increasingly embracing sustainability as a critical aspect of their operations. However, existing sustainability frameworks often fall short of capturing the multifaceted nature of sustainability and addressing uncertainties. To address these limitations, this paper proposes a novel holistic sustainability assessment framework specifically tailored for remanufacturing systems. By integrating economic, environmental, and social dimensions, the framework provides a comprehensive approach to decision-making under uncertainty. The framework incorporates a flexible weighting scheme, allowing customization based on organizational priorities, and addresses uncertainties through stochastic optimization techniques. The applicability and effectiveness of the framework are demonstrated through case studies in diverse industries, including consumer electronics, automotive, and industrial machinery remanufacturing. Sensitivity analyses provide insights into the robustness of the framework and the impact of varying sustainability indicator weights, uncertain parameter distributions, and environmental regulations. The proposed framework offers a valuable tool for remanufacturing companies, enhancing their sustainability performance and navigating the complexities of uncertain operating environments. • Proposes a novel holistic sustainability assessment framework tailored for remanufacturing. • Introduces a flexible scheme for customizing sustainability factor weights. • Employs stochastic optimization techniques to address uncertainties. • Demonstrates the framework’s applicability and effectiveness through diverse industry case studies.

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Publication Details

Journal
Journal of Manufacturing Systems
Published
2024-08-29
DOI
https://doi.org/10.1016/j.jmsy.2024.08.020
Citations
6
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
3.33
Controls
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article

A holistic sustainability framework for remanufacturing under uncertainty

Chunting Liu, Yanyan Yang, Xiufeng Liu
6 citations
Journal of Manufacturing Systems
Sustainable Supply Chain Management
3.33
article

A holistic sustainability framework for remanufacturing under uncertainty

Chunting Liu, Yanyan Yang, Xiufeng Liu
article en
6 citations

Abstract

The manufacturing and remanufacturing sectors are increasingly embracing sustainability as a critical aspect of their operations. However, existing sustainability frameworks often fall short of capturing the multifaceted nature of sustainability and addressing uncertainties. To address these limitations, this paper proposes a novel holistic sustainability assessment framework specifically tailored for remanufacturing systems. By integrating economic, environmental, and social dimensions, the framework provides a comprehensive approach to decision-making under uncertainty. The framework incorporates a flexible weighting scheme, allowing customization based on organizational priorities, and addresses uncertainties through stochastic optimization techniques. The applicability and effectiveness of the framework are demonstrated through case studies in diverse industries, including consumer electronics, automotive, and industrial machinery remanufacturing. Sensitivity analyses provide insights into the robustness of the framework and the impact of varying sustainability indicator weights, uncertain parameter distributions, and environmental regulations. The proposed framework offers a valuable tool for remanufacturing companies, enhancing their sustainability performance and navigating the complexities of uncertain operating environments. • Proposes a novel holistic sustainability assessment framework tailored for remanufacturing. • Introduces a flexible scheme for customizing sustainability factor weights. • Employs stochastic optimization techniques to address uncertainties. • Demonstrates the framework’s applicability and effectiveness through diverse industry case studies.

Journal of Manufacturing SystemsVol. 76
Munich University of Applied Sciences (DE), Technical University of Munich (DE), University of Portsmouth (GB), Technical University of Denmark (DK)
Openalex Percentile: Top 7%
Sustainable Supply Chain Management
3.33
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