Quality Loss Function Based Manufacturing Process Setting Models for Unbalanced Tolerance Design

2000 ◽  
Vol 16 (1) ◽  
pp. 39-45 ◽  
Author(s):  
M.-H. C. Li
Keyword(s):  
Loss Function ◽  
Manufacturing Process ◽  
Tolerance Design ◽  
Quality Loss ◽  
Quality Loss Function

Robust Tolerance Design Considering Process Capability and Quality Loss

1999 ◽  
Author(s):  
Chang-Xue (Jack) Feng ◽  
Ravi Balusu
Keyword(s):  
Manufacturing Process ◽  
Lead Time ◽  
Process Capability ◽  
Concurrent Design ◽  
Manufacturing Cost ◽  
Tolerance Design ◽  
Quality Loss ◽  
Quality Loss Function ◽  
Capability Indices ◽  
Design And Manufacturing

Abstract Tolerance design bridges design and manufacturing. Concurrent design of tolerances and manufacturing processes may ensure the manufacturability, reduce the manufacturing and other related costs, decrease the number of fraction nonconforming (or defective rate), and shorten the production lead time. Since process capability indices relate tolerance specifications to manufacturing process capabilities, it is quite natural to apply them to concurrent design of tolerances and processes. As process shifts often exist in a manufacturing process, using Cp does not yield a good estimation of fraction nonconforming. Index Cpk does not precisely measure process shift either, but Cpm does. Therefore, this research compares the applications of Cp, Cpk and Cpm based on a numerical example of non-linear mechanical tolerance synthesis. In addition, the Taguchi quality loss function is used together with the manufacturing cost as the objective function.

A robust tolerance optimization method based on fuzzy quality loss

2009 ◽  
Vol 223 (11) ◽  
pp. 2647-2653 ◽  
Author(s):  
Y Cao ◽  
J Mao ◽  
H Ching ◽  
J Yang
Keyword(s):  
Loss Function ◽  
Optimization Method ◽  
Quality Level ◽  
Tolerance Design ◽  
Quality Loss ◽  
Quality Loss Function ◽  
Proposed Model ◽  
Quality Grade ◽  
Practical Engineering ◽  
Manufacturing Time

Using the quality loss function developed by Taguchi, the manufacturing time and cost of a product can be reduced to improve the factory's competitiveness. However, the fuzziness in quality loss has not been considered in the Taguchi method. This article presents a fuzzy quality loss function model. First, fuzzy logic is used to describe the semantic of the quality, and the quality level is divided into several grades. Then the fuzzy quality loss function is developed utilizing the loss in monetary terms, which indicates the quality loss of each quality level and the normalized expected probability to each quality grade. Moreover, a new optimization model for tolerance design under fuzzy quality loss function is established. An example is used to illustrate the validity of the proposed model. The result shows that the proposed method is more flexible and can achieve the balance of quality and cost in tolerance design. It can be easily used in accordance with practical engineering applications.

Robust Tolerance Design With the Integer Programming Approach

1997 ◽  
Vol 119 (4A) ◽  
pp. 603-610 ◽  
Author(s):  
Chang-Xue (Jack) Feng ◽  
A. Kusiak
Keyword(s):  
Integer Programming ◽  
Loss Function ◽  
Programming Approach ◽  
Manufacturing Cost ◽  
Tolerance Design ◽  
Quality Loss ◽  
Quality Loss Function ◽  
The Cost ◽  
Manufacturing Yield ◽  
Selection Of

The quality loss function incorporates the cost of tolerances, however, it does not consider the manufacturing cost and design constraints. In this paper, a stochastic integer programming (SIP) approach is presented for simultaneous selection of tolerances and manufacturing processes. A direct link between the minimum manufacturing cost and the required level of manufacturing yield is established through the process capability index Cpk. As the tolerances in SIP are discrete, the solution generated is acceptable for manufacturing. It is shown that the integer programming models are applicable in the quality loss function and six sigma design approaches. The SIP approach is illustrated with a classical example of nonlinear tolerance design. The comparison of the proposed SIP approach, the Taguchi method, and the conventional mathematical models in tolerance synthesis is presented.

Concurrent Tolerance Design System Based on Manufacturing Context

2011 ◽  
Vol 421 ◽  
pp. 634-639
Author(s):  
Yi Feng Wang ◽  
Heng Zhang ◽  
Yan Long Cao ◽  
Jiang Xin Yang
Keyword(s):  
Loss Function ◽  
Design Method ◽  
Design Model ◽  
Design System ◽  
Tolerance Design ◽  
Quality Loss ◽  
Quality Loss Function ◽  
Computer Aided ◽  
Manufacturing Resource ◽  
Manufacturing Resources

This paper introduces a computer-aided concurrent tolerance design system based on real manufacturing resources (CATFM), which can ensure the optimal robust tolerance and consider real manufacturing resource owned by the factory. Firstly, the concurrent tolerance design model which can get balance between quality and cost utilizing Taguchi's quality loss function is proposed. Then the principle of concurrent tolerancing is concisely depicted through analyzing the overall structure of the system, and the design method is described in detail. Finally, an example is adopted to illustrate the proposed system.

scholarly journals The Quality Cost Reduction in Hollow Glass Manufacturing by Taguchi Method

2011 ◽  
Vol 4 (1) ◽  
pp. 155 ◽  
Author(s):  
A. Adil ◽  
A. Moutawakil
Keyword(s):  
Taguchi Method ◽  
Loss Function ◽  
Manufacturing Process ◽  
Control Factor ◽  
Quality Loss ◽  
Quality Loss Function ◽  
Signal To Noise ◽  
Quality Cost ◽  
Hollow Glass ◽  
Target Value

This paper presents the results of an experimental investigation carried out to optimize the weight of a glass manufacturing bottle of a product called CC35 by Taguchi method of parameter design. The experiments have been designed using an L16 orthogonal array with thirteen factors and two levels each. So the effects of each control factor level on the performance characteristic are analyzed using signal-to-noise ratios, mean response data and analysis of variance (ANOVA). Hence, an experimental setting is established; and to measure the performance of the Taguchi method on the manufacturing process before and after the experiment, three tools are used. The Xbar and range charts measure the stability of the process, the capability index estimates the process ability to deliver a good product in regard to the target value and customer specifications. The quality loss function (QLF) was used to determine the reduction in quality cost due to the elimination of deviation of the quality characteristic (weight) from the target value. Experiment shows that the Taguchi method applied on the glass bottle’s manufacturing process (CC35) ensures best stability and capability of the manufacturing process and reduces the weight which results in the quality cost down to 92%. Keywords: Hollow glass manufacturing; Taguchi; Quality loss function (QLF); Design of experiments; Optimization; Capability; ANOVA; Signal-to-noise ratio. © 2012 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved. doi: http://dx.doi.org/10.3329/jsr.v4i1.7900J. Sci. Res. 4 (1), 155-172 (2012)  

TOLERANCE DESIGN BY BREAK-EVEN ANALYSIS FOR REDUCING VARIATION AND COST

1994 ◽  
Vol 01 (04) ◽  
pp. 445-457
Author(s):  
GUANGMING CHEN ◽  
KAILASH C. KAPUR
Keyword(s):  
Transfer Function ◽  
Loss Function ◽  
System Performance ◽  
Total Loss ◽  
Tolerance Design ◽  
Quality Loss ◽  
Design Technique ◽  
Quality Loss Function ◽  
Cost Increase ◽  
The Cost

Tolerance design technique balances the expected quality loss due to variations of the system performance and the cost due to controlling these variations. Measures of quality are discussed and quality loss function is used for tolerance design. The goal is to minimize the total loss that consists of the quality loss to the customer and the cost increase to the producer. The design methodologies are presented for the tolerances of products before shipping to the customer and the tolerances of lower-level characteristics. The approaches to tolerance design for components and subsystems are also demonstrated using the variation transfer function. Examples are given as illustrations of the methodology.

Methodology for tolerance design using quality loss function

1990 ◽  
Vol 19 (1-4) ◽  
pp. 254-257 ◽  
Author(s):  
Kailash C. Kapur ◽  
Shivakumar Raman ◽  
P. Simin Pulat
Keyword(s):  
Loss Function ◽  
Tolerance Design ◽  
Quality Loss ◽  
Quality Loss Function

Optimal tolerance design of hierarchical products based on quality loss function

2016 ◽  
Vol 30 (1) ◽  
pp. 185-192 ◽  
Author(s):  
Yueyi Zhang ◽  
Lixiang Li ◽  
Mingshun Song ◽  
Ronghua Yi
Keyword(s):  
Loss Function ◽  
Tolerance Design ◽  
Quality Loss ◽  
Quality Loss Function
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