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An Inventory Solution Model for down and up Processing and Profit with Scrap Clearing in Fuzzy Sense


Affiliations
1 Mathematics Department, Presidency College/University of Madras, Chennai – 600005, Tamil Nadu, India
2 Vel Tech University, Chennai – 600062, Tamil Nadu, India
 

Objectives: To develop fuzzy set theory and the fuzziness in the inventory problem, the purpose is to find the Revenue for defective quantity corresponds to the total cost and the associated cost of selling value of remodeled product also fuzzy. Methods/Statistical Analysis: This approach is to find the quantity which has the minimum cost with maximum profit. When the profit gained from selling one unit of the item with warranty periods and guaranty period Up process cost and other scrap cost must be gives some percentage of profits. Partial profit of planned operation on stock clearing and effective scrap clearing of the last products has to be done. Findings: Mathematical model has been developed in below ways, 1. To find the fuzzy down process with the fuzzy relevant cost, 2. Revenue related with fuzzy production cost and profit of the different lot sizes of various products, 3. To find the fuzzy up process with the fuzzy screening cost of defective quantity with time dependent relevant cost tends to profits with partial loss and 4. Effective scrap clearing and total profit of all the goods. Applications/Improvements: Our aim is to find total cost and profit with fuzzy sense. Numerical examples are given and sensitivity analysis is carried out to conclude the result.

Keywords

Down Process, Fuzzy Profit, Relevant Cost, Revenue, Screening Cost, Trapezoidal Fuzzy Numbers, Up Process.
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  • An Inventory Solution Model for down and up Processing and Profit with Scrap Clearing in Fuzzy Sense

Abstract Views: 172  |  PDF Views: 0

Authors

N. Nalini
Mathematics Department, Presidency College/University of Madras, Chennai – 600005, Tamil Nadu, India
E. Chandrasekaran
Vel Tech University, Chennai – 600062, Tamil Nadu, India

Abstract


Objectives: To develop fuzzy set theory and the fuzziness in the inventory problem, the purpose is to find the Revenue for defective quantity corresponds to the total cost and the associated cost of selling value of remodeled product also fuzzy. Methods/Statistical Analysis: This approach is to find the quantity which has the minimum cost with maximum profit. When the profit gained from selling one unit of the item with warranty periods and guaranty period Up process cost and other scrap cost must be gives some percentage of profits. Partial profit of planned operation on stock clearing and effective scrap clearing of the last products has to be done. Findings: Mathematical model has been developed in below ways, 1. To find the fuzzy down process with the fuzzy relevant cost, 2. Revenue related with fuzzy production cost and profit of the different lot sizes of various products, 3. To find the fuzzy up process with the fuzzy screening cost of defective quantity with time dependent relevant cost tends to profits with partial loss and 4. Effective scrap clearing and total profit of all the goods. Applications/Improvements: Our aim is to find total cost and profit with fuzzy sense. Numerical examples are given and sensitivity analysis is carried out to conclude the result.

Keywords


Down Process, Fuzzy Profit, Relevant Cost, Revenue, Screening Cost, Trapezoidal Fuzzy Numbers, Up Process.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i31%2F131244