%0 Journal Article %1 noauthororeditor %A Üthayakumar, R" %A "Karuppasamy, S.K" %D 2016 %J Operations Research and Applications : An International Journal (ORAJ) %K Cost Defuzzification Fuzzy Inventory Lot Ordering Triangular fuzzy inventory model numbers size %N 1 %P 17-29 %R 10.5121/oraj.2016.3102 %T A FUZZY INVENTORY MODEL WITH LOT SIZE DEPENDENT ORDERING COST IN HEALTHCARE INDUSTRIES %U http://airccse.com/oraj/papers/3116oraj02.pdf %V 3 %X The classical Harris - Wilson inventory model assumes that all the cost associated with the model was taken to be constant and which does not dependent on any quantity ordered. In this paper we have taken Ordering cost, holding cost and order quantity all are triangular fuzzy numbers. Graded mean integration representation method is used for defuzzification. In this paper, we consider an inventory model where the ordering cost depends on the size of the lot and increases in steps as the lot size increases. The main goal of this research is to reduce the healthcare cost and without sacrificing customer service. An algorithm is developed to find the economic order quantity along with numerical examples in pharmaceutical company.

@article{noauthororeditor, abstract = {The classical Harris - Wilson inventory model assumes that all the cost associated with the model was taken to be constant and which does not dependent on any quantity ordered. In this paper we have taken Ordering cost, holding cost and order quantity all are triangular fuzzy numbers. Graded mean integration representation method is used for defuzzification. In this paper, we consider an inventory model where the ordering cost depends on the size of the lot and increases in steps as the lot size increases. The main goal of this research is to reduce the healthcare cost and without sacrificing customer service. An algorithm is developed to find the economic order quantity along with numerical examples in pharmaceutical company.}, added-at = {2018-06-25T14:04:49.000+0200}, author = {"Uthayakumar, R" and "Karuppasamy, S.K"}, biburl = {https://www.bibsonomy.org/bibtex/2e00c5cb8b4fbcb20f3b6d5741834dbbf/oraj}, doi = {10.5121/oraj.2016.3102}, interhash = {7d5165fea6cf8613b00b23801ed26c75}, intrahash = {e00c5cb8b4fbcb20f3b6d5741834dbbf}, journal = {Operations Research and Applications : An International Journal (ORAJ)}, keywords = {Cost Defuzzification Fuzzy Inventory Lot Ordering Triangular fuzzy inventory model numbers size}, month = {February}, number = 1, pages = {17-29}, timestamp = {2018-06-25T14:04:49.000+0200}, title = {A FUZZY INVENTORY MODEL WITH LOT SIZE DEPENDENT ORDERING COST IN HEALTHCARE INDUSTRIES}, url = {http://airccse.com/oraj/papers/3116oraj02.pdf}, volume = 3, year = 2016 }