Open AccessInventory Model with Demand Dependant on Unit Cost- Input Parameters as Triangular Fuzzy Numbers
Author(s) -
R. Kasthuria
Publication year - 2021
Publication title -
türk bilgisayar ve matematik eğitimi dergisi
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 3
ISSN - 1309-4653
DOI - 10.17762/turcomat.v12i2.1914
Subject(s) - economic shortage , sensitivity (control systems) , fuzzy logic , holding cost , defuzzification , process (computing) , fuzzy number , total cost , computer science , signed distance function , inventory cost , mathematical optimization , unit (ring theory) , mathematics , operations research , fuzzy set , algorithm , artificial intelligence , economics , engineering , supply chain , philosophy , electronic engineering , government (linguistics) , law , linguistics , microeconomics , operating system , political science , mathematics education
This paper considers an inventory model in which the shortages are backlogged and the demand is dependent on unit cost. An optimum value for average total cost is calculated by considering various input costs, lot size and maximum inventory under fuzzy environment. The process of defuzzification is done by using the signed distance method. Numerical example and sensitivity analysis is given for calculating both crisp and fuzzy values of the total cost.