Inventory Model with Demand Dependant on Unit Cost- Input Parameters as Triangular Fuzzy Numbers | Zendy

R. Kasthuria | Zendy

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Inventory 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) - fuzzy logic , economic shortage , sensitivity (control systems) , holding cost , defuzzification , total cost , fuzzy number , inventory cost , signed distance function , process (computing) , mathematics , unit (ring theory) , mathematical optimization , unit cost , operations research , computer science , fuzzy set , economics , engineering , algorithm , supply chain , artificial intelligence , business , linguistics , microeconomics , operating system , mathematics education , philosophy , electronic engineering , government (linguistics) , marketing

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.

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