A Proposed Fuzzy Inventory Management Policy

Mohamed Khalil; Ahmed Taha | Mohamed Osman; El-Sayed Ellaimony

Title:
A Proposed Fuzzy Inventory Management Policy

Authors:
El-Sayed Ellaimony | Mohamed Khalil | Ahmed Taha | Mohamed Osman

Cite This Article :

El-Sayed Ellaimony | Mohamed Khalil | Ahmed Taha | Mohamed Osman "A Proposed Fuzzy Inventory Management Policy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3, April 2021, pp.944-952, URL: https://www.ijtsrd.com/papers/ijtsrd40005.pdf

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Abstract :
Managing inventory under inaccurate or incomplete data considers a complex process to find the optimal policy to reduce total inventory costs. Hence, we resort in this paper to the use of the fuzzy technique to treat this deficiency in the data. This study considers important because it is hoped that on the completion, the study will extend further insights into the conception of stock control measures. Through using automotive service center as a reference point, the study will make an interesting contribution to the understanding of the general and special effects of stock control in other private and public utilities. In this paper, it will be proposed a mathematical model for optimal fuzzy inventory policy to minimize the total inventory cost by using the fuzzy assignment technique and will be applied it on a case study.

Keywords :
Inventory, Fuzzy, Supply chain, Stock control, Assignment Technique

Publication Details:

Unique Identification Number : IJTSRD40005

Published In : Volume-5 | Issue-3, April 2021

Page Number(s) : 944-952

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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