TY - JOUR
T1 - A holistic sustainability framework for remanufacturing under uncertainty
AU - Liu, Chunting
AU - Yang, Yanyan
AU - Liu, Xiufeng
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2024/10/1
Y1 - 2024/10/1
N2 - 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.
AB - 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.
KW - Remanufacturing
KW - Stochastic optimization
KW - Sustainability assessment
KW - Uncertainty modeling
UR - http://www.scopus.com/inward/record.url?scp=85202148341&partnerID=8YFLogxK
U2 - 10.1016/j.jmsy.2024.08.020
DO - 10.1016/j.jmsy.2024.08.020
M3 - Article
AN - SCOPUS:85202148341
SN - 0278-6125
VL - 76
SP - 540
EP - 552
JO - Journal of Manufacturing Systems
JF - Journal of Manufacturing Systems
ER -