Title :
Economic order quantity model with backorders using trapezoidal fuzzy numbers
Author :
Bulancak, Evren ; Kirkavak, Nureddin
Author_Institution :
Dept. of Ind. Eng., Eastern Mediterranean Univ., Famagusta, Turkey
Abstract :
Inventory is a common name stands for the items which are in stock points or work-in-process serving to decouple successive operations. Effective inventory management is essential for manufacturing organizations for a number of reasons. A basic economic order quantity model allowing backorders is considered in this paper. All cost parameters and the demand is assumed to be fuzzy numbers with trapezoidal membership function. By the graded mean integration representation method of defuzzification, total cost formula will be derived in the fuzzy sense in order to obtain the optimal order quantity. A numerical example is provided to illustrate the results of the proposed model.
Keywords :
costing; economics; fuzzy set theory; inventory management; number theory; backorders; cost parameters; economic order quantity model; graded mean integration representation method; inventory management; manufacturing organizations; trapezoidal fuzzy numbers; trapezoidal membership function; Control system synthesis; Cost function; Fabrication; Fuzzy sets; Industrial engineering; Inventory management; Manufacturing; Mathematical model; Reliability engineering; Safety; Backorder; EOQ; Fuzzy Modeling; Inventory Management; Trapezoidal Membership Function;
Conference_Titel :
Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, 2009. ICSCCW 2009. Fifth International Conference on
Conference_Location :
Famagusta
Print_ISBN :
978-1-4244-3429-9
Electronic_ISBN :
978-1-4244-3428-2
DOI :
10.1109/ICSCCW.2009.5379488