Economic order quantity in fuzzy sense for inventory without backorder model

This paper investigates a group of computing schemas for economic order quantity as fuzzy values of the inventory without backorder. We express the fuzzy order quantity as the normal triangular fuzzy number ( q 1, q 0, q 2), and then solve the aforementioned optimization problem. We find that, after...

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Bibliographic Details
Published inFuzzy sets and systems Vol. 105; no. 1; pp. 13 - 31
Main Authors Lee, Huey-Ming, Yao, Jing-Shing
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.07.1999
Elsevier
Subjects
Applied sciences
Economics
Exact sciences and technology
Extension principle
Fuzzy economic order quantity
Fuzzy inventory model
Fuzzy set
Fuzzy total cost
General aspects
Inventory control, production control. Distribution
Operational research and scientific management
Operational research. Management science
Extension principle
Fuzzy inventory model
Fuzzy set
Fuzzy economic order quantity
Fuzzy total cost
Fuzzy logic
Economics
Inventory control
Fuzzy set theory
Fuzzy number
Optimization
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Summary:This paper investigates a group of computing schemas for economic order quantity as fuzzy values of the inventory without backorder. We express the fuzzy order quantity as the normal triangular fuzzy number ( q 1, q 0, q 2), and then solve the aforementioned optimization problem. We find that, after defuzzification, the total cost is slightly higher than in the crisp model; however, it permits better use of the economic fuzzy quantities arising with changes in orders, deliveries, and sales.
ISSN:0165-0114
1872-6801
DOI:10.1016/S0165-0114(97)00227-3