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A joint economic-lot-size model for purchaser and vendor in fuzzy sense

Authors :
Mahata, G.C.
Goswami, A.
Gupta, D.K.
Source :
Computers & Mathematics with Applications. Dec2005, Vol. 50 Issue 10-12, p1767-1790. 24p.
Publication Year :
2005

Abstract

Abstract: This paper investigates a group of computing schemas for joint economic lot size as fuzzy values of the economic lot size model for purchaser and vendor. We express the fuzzy order quantity/production lot size for the purchaser/vendor as the normal triangular fuzzy number (q 1, q 0, q 2) and then we solve the aforementioned optimization problem under the condition 0 < q 1 < q 0 < q 2. We find that, after defuzzification, the joint total relevant cost is slightly higher than in the crisp model. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
08981221
Volume :
50
Issue :
10-12
Database :
Academic Search Index
Journal :
Computers & Mathematics with Applications
Publication Type :
Academic Journal
Accession number :
19208649
Full Text :
https://doi.org/10.1016/j.camwa.2004.10.050