June 20, 2024AlgorithmsOpen Access

Towards Sustainable Inventory Management: A Many-Objective Approach to Stock Optimization in Multi-Storage Supply Chains

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Optimal inventory levels reveal a well-defined trade-off between energy consumption and shortage risk across diverse storage facilities.
Daily optimization across a 60-day production schedule and a 30-day rolling forward analysis quantifies trade-offs in holding costs.
Many-objective optimization supports supply chain resilience by decomposing shortage risk to inform multi-storage inventory decisions.

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Implication

Optimization modeling reveals clear trade-offs between energy savings and shortage risk across multi-storage supply chains, highlighting pathways to balance cost and resilience.

Cite This Study

Santos et al. (2024) studied this question.

synapsesocial.com/papers/68e63f6fb6db6435875d1630 https://doi.org/10.3390/a17060271

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Implication

Optimization modeling reveals clear trade-offs between energy savings and shortage risk across multi-storage supply chains, highlighting pathways to balance cost and resilience.

Towards Sustainable Inventory Management: A Many-Objective Approach to Stock Optimization in Multi-Storage Supply Chains

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Discussion

Implication

Cite This Study

Towards Sustainable Inventory Management: A Many-Objective Approach to Stock Optimization in Multi-Storage Supply Chains

Key Points

Discussion

Implication

Cite This Study

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