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

fYear

2014

Firstpage

526

Lastpage

530

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on

Type

conf

DOI

10.1109/IEEM.2014.7058693

Filename

7058693