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Fuzzy Quality Control with Reliability and Flexibility

by P. Parvathi, P. Anitha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 76 - Number 6
Year of Publication: 2013
Authors: P. Parvathi, P. Anitha
10.5120/13249-0714

P. Parvathi, P. Anitha . Fuzzy Quality Control with Reliability and Flexibility. International Journal of Computer Applications. 76, 6 ( August 2013), 7-11. DOI=10.5120/13249-0714

@article{ 10.5120/13249-0714,
author = { P. Parvathi, P. Anitha },
title = { Fuzzy Quality Control with Reliability and Flexibility },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 76 },
number = { 6 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume76/number6/13249-0714/ },
doi = { 10.5120/13249-0714 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:45:11.152428+05:30
%A P. Parvathi
%A P. Anitha
%T Fuzzy Quality Control with Reliability and Flexibility
%J International Journal of Computer Applications
%@ 0975-8887
%V 76
%N 6
%P 7-11
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It is commonly observed that the manufacturers have started to give significance to quality management. Promoting the production of the product serves as the ultimate target of the manufacturer. The manufacturers handle various tactics to produce products of high quality and to make it fit for the taste of the customers. To make the rate of production fast, the machines are subjected to continuous wear and tear which results in depreciation. To withstand these circumstances the manufacturers have to maintain high degree of reliability and flexibility. Fuzzy concepts are applied to formulate an Economic Production Quantity (EPQ) model which facilitates the manufacturers to face risks present in the production sector.

References
  1. Morteza Rasti Barzoki, Morteza Jahanbazi, Mehdi Bijari. (2011). Effects of imperfect products on lot sizing with work in process inventory. , Applied Mathematicas and Computation 217 (2011) 8328-8336.
  2. Ali Yassine, Bacel Maddah, Moueen Salameh. (2012). Disaggregation and consolidation of imperfect quality shipments in an extended EPQ model. , Int. J. Prodection Economics 135,345-352b.
  3. Gede Agus Widyadana, Hui Ming Wee. (2011). Optimal deteriorating items production inventory models with random machine breakdown and stochastic repair time. , Applied Mathematical Modeling 35, 3495-3508.
  4. Cheung, L. L. , & Hausman, W. H. (1997). Joint determination of preventive maintenance and safety stocks in unreliable production environment, Naval Res. Log. 44, 257-272.
  5. W. Ritha and Nivetha Martin, (2012). An Inventory Model with Quality, Reliability and Flexibility. , International Conference and Mathematical Modeling and Applied Soft Computing, Volume-I.
Index Terms

Computer Science
Information Sciences

Keywords

Production quantity Fuzzy triangular number Quality Reliability Flexibility

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