Title :
A hybrid EOQ and fuzzy model to minimize the material inventory in ready mixed concrete plants
Author :
Ravanshadnia, M. ; Ghanbari, M.
Author_Institution :
Dept. of Constr. Eng. & Manage., Islamic Azad Univ., Tehran, Iran
Abstract :
In almost all countries, a major percentage of the manufactured cement and aggregates is used in Ready-Mixed Concrete (RMC) plants. Therefore 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 tanks 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. The optimal order quantity of raw materials in batching plant can be predicted with fuzzy logic.
Keywords :
aggregates (materials); batch processing (industrial); cements (building materials); concrete; economics; fuzzy logic; order picking; order processing; raw materials; tanks (containers); EOQ model; FL; RMC plants; aggregates; batching plants; consumption pattern; economic order quantity; fuzzy logic; fuzzy model; hybrid EOQ; manufactured cement; material inventory control system; optimal estimation; optimal order quantity; ordering; raw materials; ready mixed concrete plants; tanks; warehousing cost; Concrete; Economics; Fuzzy logic; Inventory control; Mathematical model; Predictive models; aggregate; batching plant; fuzzy logic; material inventory; optimal order; ready mixed concrete plant;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
DOI :
10.1109/IEEM.2014.7058693
