Abstract
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.
Highlights
The economic growth process based on process technology began after the first industrial revolution in the second half of the 18th century
This article provides an overview of the scientific literature on Sustainable inventory management (SIM) models in the supply chains (SCs)
It is oriented to identify, select and analyze the main studies addressing how sustainability is being managed by SCs through quantitative inventory management models
Summary
The economic growth process based on process technology began after the first industrial revolution in the second half of the 18th century. The industrial revolution unleashed an economic, scientific, and technical boom and an intensive, extensive and irrational use of natural resources to search for accelerated economic growth models that occurred when it began. Environmental aspects are very important for reducing the global warming effect associated with increasing CO2 emission rates as a result of globalized industrialization, goods storage, and transportation. According to Arikan et al [1], the storage and transport of goods are considered the most important causes of environmental hazards in the logistics chain and are the main reasons for CO2 emissions. Sustainable inventory management (SIM) relates to decisions on inventory, warehousing, and material handling by focusing on reducing environmental and social impacts without affecting profitability [2]. It is crucial to develop a SIM model that takes into account income increase and waste prevention and reduces energy costs [4]
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