Abstract
In modern manufacturing environment, inspection equipment often can deal with more than one quality characteristic simultaneously. At the design stage of such inspection equipment, it is necessary to identify optimal combination of inspection error tolerance levels of multiattributes. We suggest a genetic algorithm by which one can determine the optimal tolerance levels of errors for multiinspection attributes at a minimum cost of ownership (COO). The COO model is formulated as a function of not only the initial purchase cost but also the inspection cost over lifetime. Our approach is expected to effectively contribute to marketing as well as manufacturing of inspection equipment.
| Original language | English |
|---|---|
| Pages (from-to) | 338-344 |
| Number of pages | 7 |
| Journal | IEEE Transactions on Electronics Packaging Manufacturing |
| Volume | 26 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2003 Oct 1 |
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All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
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Genetic algorithms applied to optimal tolerance levels of multiattribute inspection errors. / Sohn, So Young; Moon, Hyoung Uk.
In: IEEE Transactions on Electronics Packaging Manufacturing, Vol. 26, No. 4, 01.10.2003, p. 338-344.Research output: Contribution to journal › Article
TY - JOUR
T1 - Genetic algorithms applied to optimal tolerance levels of multiattribute inspection errors
AU - Sohn, So Young
AU - Moon, Hyoung Uk
PY - 2003/10/1
Y1 - 2003/10/1
N2 - In modern manufacturing environment, inspection equipment often can deal with more than one quality characteristic simultaneously. At the design stage of such inspection equipment, it is necessary to identify optimal combination of inspection error tolerance levels of multiattributes. We suggest a genetic algorithm by which one can determine the optimal tolerance levels of errors for multiinspection attributes at a minimum cost of ownership (COO). The COO model is formulated as a function of not only the initial purchase cost but also the inspection cost over lifetime. Our approach is expected to effectively contribute to marketing as well as manufacturing of inspection equipment.
AB - In modern manufacturing environment, inspection equipment often can deal with more than one quality characteristic simultaneously. At the design stage of such inspection equipment, it is necessary to identify optimal combination of inspection error tolerance levels of multiattributes. We suggest a genetic algorithm by which one can determine the optimal tolerance levels of errors for multiinspection attributes at a minimum cost of ownership (COO). The COO model is formulated as a function of not only the initial purchase cost but also the inspection cost over lifetime. Our approach is expected to effectively contribute to marketing as well as manufacturing of inspection equipment.
UR - http://www.scopus.com/inward/record.url?scp=1242286447&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=1242286447&partnerID=8YFLogxK
U2 - 10.1109/TEPM.2003.822081
DO - 10.1109/TEPM.2003.822081
M3 - Article
AN - SCOPUS:1242286447
VL - 26
SP - 338
EP - 344
JO - IEEE Transactions on Electronics Packaging Manufacturing
JF - IEEE Transactions on Electronics Packaging Manufacturing
SN - 1521-334X
IS - 4
ER -