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contributor authorHoo-Gon R. Choi
contributor authorErik Salisbury
contributor authorMan-Hee Park
date accessioned2017-05-09T00:02:54Z
date available2017-05-09T00:02:54Z
date copyrightAugust, 2000
date issued2000
identifier issn1087-1357
identifier otherJMSEFK-27415#529_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/123981
description abstractThe tolerance allocation problem is formulated as a nonlinear integer model under the constraints of process capability. The problem is to minimize the sum of machining cost and quality loss. When the statistical tolerance limits are used and Taguchi’s quadratic loss function is defined, the total cost function becomes a convex function for a given feature and process. A complex search method is used to solve the model and ensure the optimal tolerance allocation. Numerical examples are presented demonstrating successful model implementation for both linear and nonlinear design functions. [S1087-1357(00)02602-2]
publisherThe American Society of Mechanical Engineers (ASME)
titleOptimal Tolerance Allocation With Loss Functions
typeJournal Paper
journal volume122
journal issue3
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.1285918
journal fristpage529
journal lastpage535
identifier eissn1528-8935
keywordsMachining
keywordsManufacturing
keywordsDesign
keywordsFunctions AND Dimensions
treeJournal of Manufacturing Science and Engineering:;2000:;volume( 122 ):;issue: 003
contenttypeFulltext


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