International Journal of Computational Intelligence Systems

Volume 3, Issue 3, September 2010, Pages 325 - 333

Integrated total cost and Tolerance Optimization with Genetic Algorithm

Authors
R.Sampath Kumar, N. Alagumurthi
Corresponding Author
R.Sampath Kumar
Available Online 1 September 2010.
DOI
https://doi.org/10.2991/ijcis.2010.3.3.8How to use a DOI?
Keywords
Tolerance allocation, Machining cost, quality loss, Genetic algorithm.
Abstract
The tolerance allocation problem has been studied in the literature for decades, usually using mathematical programming (or) heuristic optimization approaches. Elegant tools for minimum cost tolerance allocation have been developed over several decades but still there is no specified tool to find the total cost with respect to machining cost and asymmetric quality loss functions. Objective of this paper is to find the optimized total cost by considering the machining cost and the asymmetric quality loss of an assembly. The non linear multi variable optimization of total cost problem formulated is solved using genetic algorithm. In this work, Piston and cylinder arrangement example was considered for concurrent allocation of design and machining tolerance, as well as to optimize the total cost. The result shows, optimized tolerance will enhances the quality and reduces the total cost.
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This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
3 - 3
Pages
325 - 333
Publication Date
2010/09
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2010.3.3.8How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - R.Sampath Kumar
AU  - N. Alagumurthi
PY  - 2010
DA  - 2010/09
TI  - Integrated total cost and Tolerance Optimization with Genetic Algorithm
JO  - International Journal of Computational Intelligence Systems
SP  - 325
EP  - 333
VL  - 3
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2010.3.3.8
DO  - https://doi.org/10.2991/ijcis.2010.3.3.8
ID  - Kumar2010
ER  -