Abstract
Perishable supply chain is more important when dealing with intangible products such as blood, vaccines, and food. Perishable products require special treatment measures that may have a social and environmental impact as well as essential financial aspects. In this research, food perishability is expected to be influenced by other factors and is represented as a decision variable along with food lifespan uncertainty. Therefore, this research develops a multi-objective mathematical programing model to optimize overall financial costs, environmental considerations, and customer satisfaction associated with these supply chain operations. In order to solve a mixed integer optimization model, new robust optimization methods and k-domain approaches are applied. The findings indicate a high degree of consistency with those from the exact approach. The results suggest that the k-domain strategy may be applied to effectively maximize the profitability of the provided network when applied to perishable products. As a result, environmental costs are reduced by nearly 35% and the social satisfaction of functions is improved.
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Funding
The research is supported by the (1) Guangdong Basic and Applied Basic Research Foundation (2021A1515110566) and (2) Guangdong Philosophy and social science planning project (GD22YGL03).
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Luo, R., Deng, Q. Integrating K-Domain and Robust Optimization Methods of Inventory Control for Sustainable Enterprises in Perishable Food Supply Chain. Process Integr Optim Sustain 8, 21–38 (2024). https://doi.org/10.1007/s41660-023-00349-4
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DOI: https://doi.org/10.1007/s41660-023-00349-4