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A FUZZY PROGRAMMING APPROACH TO INVENTORY CONTROL PROBLEM
Author(s) -
Neha Kumari,
Arun Prasad Burnwal
Publication year - 2021
Publication title -
international journal of students research in technology and management
Language(s) - English
Resource type - Journals
ISSN - 2321-2543
DOI - 10.18510/ijsrtm.2021.923
Subject(s) - computer science , mathematical optimization , constraint (computer aided design) , set (abstract data type) , geometric programming , control (management) , originality , fuzzy logic , inventory control , operations research , mathematics , artificial intelligence , programming language , geometry , creativity , political science , law
Purpose of study: Main aim of this study is to deals with the problem of inventories. Their holding cost, set-up cost, and many more related to that. All the problems are flexible and having fuzzy nature. Methodology: The model takes the form of a Geometric Programming problem. Hence geometric programming algorithm is used here. Main Finding: The developed models may be used for a single item with a single constraint of limitation on storage area and multi-item inventory problems. Application of this study: This study is useful in the area of inventories. There holding cost and set-up cost etc. The originality of this study: This study may help the stockholders for storing goods and minimizing the cost of holding.

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