2012
DOI: 10.4028/www.scientific.net/kem.499.361
|View full text |Cite
|
Sign up to set email alerts
|

Application of a Fuzzy EOQ Model to the Stock Management in the Manufacture System

Abstract: In a manufacture system, the inventory control is one of important issues. This paper proposes a fuzzy economic order quantity (EOQ) inventory model for solving the inventory control problem in the manufacture system. Firstly, this paper discusses the square roots of a trapezoidal fuzzy number. Secondly, the square root of fuzzy number is applied to the EOQ inventory model in the manufacture system.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
5
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(5 citation statements)
references
References 17 publications
0
5
0
Order By: Relevance
“…In the year 1965, Zadeh [30], introduced the concept of fuzzy set theory and its applications that can be found in many branches of mathematical and engineering sciences including management science, control engineering, computer science, artificial intelligence (see, [6], [7]).…”
Section: Introductionmentioning
confidence: 99%
“…In the year 1965, Zadeh [30], introduced the concept of fuzzy set theory and its applications that can be found in many branches of mathematical and engineering sciences including management science, control engineering, computer science, artificial intelligence (see, [6], [7]).…”
Section: Introductionmentioning
confidence: 99%
“…In 1965, Zadeh [36], introduced the concept of fuzzy set theory and its applications can be found in many branches of mathematical and engineering sciences including management science, control engineering, computer science and artificial intelligence (see, [5,7]).…”
Section: Introductionmentioning
confidence: 99%
“…In the year 1965, Zadeh [25], introduced the concept of fuzzy set theory and its applications can be found in many branches of mathematical and engineering sciences including management science, control engineering, computer science, artificial intelligence (see, [5,6]).…”
Section: Introductionmentioning
confidence: 99%