Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/157498
Authors: 
Movahedi, Mohammad Mehdi
Khounisiavash, Mohsen
Otadi, Mahmood
Mosleh, Maryam
Year of Publication: 
2016
Citation: 
[Journal:] Journal of Industrial Engineering International [ISSN:] 2251-712X [Volume:] 12 [Year:] 2016 [Pages:] 1-8
Abstract: 
Tolerancing conducted by design engineers to meet customers' needs is a prerequisite for producing highquality products. Engineers use handbooks to conduct tolerancing. While use of statistical methods for tolerancing is not something new, engineers often use known distributions, including the normal distribution. Yet, if the statistical distribution of the given variable is unknown, a new statistical method will be employed to design tolerance. In this paper, we use generalized lambda distribution for design and analyses component tolerance. We use percentile method (PM) to estimate the distribution parameters. The findings indicated that, when the distribution of the component data is unknown, the proposed method can be used to expedite the design of component tolerance. Moreover, in the case of assembled sets, more extensive tolerance for each component with the same target performance can be utilized.
Subjects: 
Nonlinear programming
Generalized lambda distribution (GLD)
Tolerancing
Percentile matching estimates
Persistent Identifier of the first edition: 
Creative Commons License: 
http://creativecommons.org/licenses/by/4.0/
Document Type: 
Article

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