Minimizing Material Inventory in Ready Mixed Concrete Plants by Applying a Fuzzy Neural Network Approach Management

In the U.S.A., 70 percent of the manufactured cement and 43 percent of aggregates is used in Ready-Mixed Concrete (RMC) plants. So a material inventory control system is needed to form a consumption pattern for this material to optimize warehousing cost and ordering in RMC plants. Such a material inventory control system of batching plants could be applied as an approach for optimal estimation of the reservoirs required for storage and feeding of material. In this research, a material inventory control system of batching plants has been developed by fuzzy logic (FL) with Economic Order Quantity (EOQ) model of inventory control. 70% and 80% reduction has been obtained in estimation of optimal size of the required reservoirs for aggregate and cement respectively in one of the RMC plants of Tehran in the FL model, which reduced the required land used for the plant and maintenance and manpower expenses.