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Research Paper | Mathematics | India | Volume 4 Issue 9, September 2015
Method for Solving Fuzzy Inventory Model with Space Constraint under Robust Ranking Technique
A. Faritha Asma | Dr. E. C. Henry Amirtharaj
Abstract: In this paper, an EOQ (economic order quantity) model with space constraint has been analyzed in a fuzzy environment. The costs namely holding cost, shortage cost, setup cost, the ware house capacity and the objective are usually deterministic in nature. In this paper these have been considered to be triangular fuzzy numbers which are more realistic in nature. Robusts ranking method [8] has been used for ranking the fuzzy numbers. The fuzzy inventory problem has been transformed in to crisp inventory problem. For this EOQ and minimum total cost have been calculated. This method has been illustrated by means of numerical example
Keywords: Fuzzy inventory problem, EOQ, Triangular fuzzy number, ware house capacity, fuzzy ranking I
Edition: Volume 4 Issue 9, September 2015,
Pages: 1724 - 1726
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Research Paper, Mathematics, India, Volume 11 Issue 4, April 2022
Pages: 926 - 929A Deterministic Inventory Model with Biquadratic Demand, Static Rate of Deterioration and Linear Carrying Cost
Pooja Soni [9] | Rajender Kumar [4]
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Research Paper, Mathematics, India, Volume 10 Issue 9, September 2021
Pages: 1216 - 1218A Deterministic Inventory Model with Demand as a Biquadratic Polynomial Function of Time with Static Rates of Deterioration
Pooja Soni [9] | Rajender Kumar [4]