Case Study

Multi-echelon inventory storage & distribution ​

Taking the “guessing game” out of your food distribution. Deliver on your freshness promise. Designing a multi-objective supply chain distribution requires advanced mathematical constraints-based optimization, not a rule-based system.

Business Challenges

Agri-food supply chains are inherently complex to manage than other supply chains mainly because of their multi-echelon structure, deteriorating product quality with time and changes in storage conditions which leads to significant amount of food loss and wastage. ​

CBC Solutions

CBC undertook a new solution approach that is based on tuned-parameter simulated annealing algorithm to solve a large multi-objective multi-product supply chain inventory management problem. The selected objective functions maximized profit, minimized supply chain risk and emissions (transportation miles by increasing capacity of hauls). ​

Benefits realized by Customer

The solution delivered results to critical KPIs for Suppliers, Direct to Consumer Suppliers, a Central Warehouse and Stores catering to consumers who were promised “garden fresh” produce. An efficient agri-food supply chain for optimal multi-echelon storage and distribution is now a reality. ​

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