Simulation-based optimization to minimize stock obsolescence for a multi-echelon supply chain network

Simulation-based optimization to minimize stock obsolescence for a multi-echelon supply chain network

Client:

The client is a century-old consumer food manufacturer from the Americas with a portfolio of 100+ brands being sold in more than 90 countries and manufacturing plants in more than 30 locations.

Business Challenge:

With more than 100 brands, it was complex and unpredictable to effectively balance between inventory, services, and sales. There was a nonscientific approach to maintaining the shelf-life of products and raw materials. There was no proper basis for key decisions related to maintaining inventory levels based on market conditions, often leading to stocking higher / lower inventory than actually required.

Benefits Achieved:

With the simulation of the supply chain network, the client has observed better network planning and a significant reduction in inventory wastage. Due to insightful analysis, it is now possible to predict and prepare for demand surges with minimum obsolescence. Specific algorithms to effectively analyze the shelf-life resulted in lower wastages and higher profitability.

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