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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/12225
Title: Product quality optimization using fuzzy set concepts: A case study
Authors: Kumar P.
Goel P.
Published in: Quality Engineering
Abstract: Product quality is a function of several performance characteristics. If it is desired to optimize a single performance characteristic of the product, traditional mathematical models may be used. But, when all the optimum performance characteristics need to be integrated into the product then the problem has to be formulated as a multi-objective optimization problem. In most of the real life situations, the customers' requirements are fuzzy in nature, e.g., minimum surface roughness or maximum strength. This inexact information creates a problem, i.e., where to draw a line between what is required and what is not. This inexactness in the nature of the goals can be studied well through the use of fuzzy set logics. In the present work, a multi-objective optimization model using the concept of fuzzy set logic is developed. A case study "Obtaining an optimal set of V-process parameters that yields the optimum composite quality features to Al-11% Si alloy castings" is also included in this paper.
Citation: Quality Engineering (2002), 15(1): 1-8
URI: https://doi.org/10.1081/QEN-120006706
http://repository.iitr.ac.in/handle/123456789/12225
Issue Date: 2002
Keywords: Fuzzy set
Multi-criterion
Response surface
V-process
ISSN: 8982112
Author Scopus IDs: 55952759400
57197408728
Author Affiliations: Kumar, P., Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee 247667, India
Goel, P., TRW Automotive, Chassis Systems, Sterling Heights, MI, United States
Corresponding Author: Kumar, P.; Mechanical and Indust. Engineering, Indian Institute of Technology, Roorkee 247667, India; email: kumarfme@iitr.ernet.in
Appears in Collections:Journal Publications [ME]

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