4.6 Article

Sustainable Inventory Management in Supply Chains: Trends and Further Research

期刊

SUSTAINABILITY
卷 14, 期 5, 页码 -

出版社

MDPI
DOI: 10.3390/su14052613

关键词

inventory management; sustainability; supply chain

资金

  1. ERDF A way of making Europe
  2. Industrial Production and Logistics Optimization in Industry 4.0 (i4OPT) project - Valencian Regional Government [PROMETEO/2021/065]
  3. National Agency for Research and Development (ANID)/Scholarship Program/Doctorado Becas en el Extranjero/2020 [72210174]
  4. [RTI2018-101344-B-I00]
  5. [MCIN/AEI/10.13039/501100011033]

向作者/读者索取更多资源

This article provides an overview of sustainable inventory management models in supply chains and proposes a roadmap for future research. The study reveals a lack of research on incorporating social sustainability into inventory management in supply chains, while environmental sustainability is a growing research area. Future studies should focus on incorporating uncertainty issues into sustainable inventory management models and integrating economic, environmental, and social sustainability decisions. Additionally, complex models and new algorithms and heuristics should be employed to address these issues effectively.
This article presents an overview of the models applied to sustainable inventory management in supply chains and a roadmap for new research. It aims to address the lack of understanding of how sustainability is being incorporated into quantitative inventory management models in the supply chain context. The study is based on a classification of the reviewed literature according to the following criteria: supply chain structure, environmental approach, problem type, modeling, and solution approach. As a result, 36 articles were analyzed and classified. The main findings show that studies that incorporate social sustainability into inventory management along supply chains are lacking, while environmental studies are a growing research area. Uncertainty issues also need to be incorporated into sustainable inventory management models. Another important result of this study is the definition of a roadmap with trends and future research guidelines. The identified future research guidelines include incorporating decisions that can help to improve economic, environmental, and social sustainability. Thus, future studies should focus on both following quantitative models that incorporate inventory decisions integrally with transportation and location decisions, and more complex models, and employing new algorithms and heuristics to solve them.

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