Reducing Production and Warehouse Costs with Optimum Batch Sizes
How much should you produce of a particular product in one batch? How high can the stock level be? Does it make sense to increase the machinery capacity? Challenging questions like these can only be answered reliably with intelligent data utilization. Traditional models for batch size optimization (such as the formulas developed by Harris and Andler) produce initial indications, but they cannot provide comprehensive optimization taking into account all relevant articles, costs, and restrictions. The processes are simply too complex.