Optimization of mechanical assembly tolerances by incorporating Taguchi's quality loss function

Journal of Manufacturing Systems

Volumn 14, Issue 4, 1995, Pages 264-276

  Cheng, Bor Wen ^a   Maghsoodloo, Saeed ^b  

^a NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b AUBURN UNIVERSITY   (United States)

Author keywords

Cost Tolerance Function; Mechanical Assembly; Taguchi's View of Quality; Tolerance Allocation

Indexed keywords

EID: 0000681420     PISSN: 02786125     EISSN: None     Source Type: Journal    
DOI: 10.1016/0278-6125(95)98879-B     Document Type: Article

References (28)

1. Statistical Tolerance: The State of the Art—Part I: Background
2. Tolerance Analysis in a Solid Modeling Environment
3. Tolerances Their Analysis and Synthesis
4. Least-Cost Tolerance Allocation for Mechanical Assemblies with Automated Process Selection
5. Tolerance Assignment in Linear Networks Using Nonlinear Programming
6. Design Issues in Mechanical Tolerance Analysis
7. A Systematic Approach to the Cost Optimization of Tolerances in Complex Assemblies
8. Allocation of Tolerance To Minimize Cost of Assembly
9. Assessment and Optimization of Dimensional Tolerances
10. Least Cost Tolerances—I
11. Tolerancing: Its Distribution, Analysis, and Synthesis
12. Mechanism Design: Accounting for Manufacturing Tolerances and Costs in Function Generating Problems
13. Tolerancing the Components of an Assembly for Minimum Cost
14. Calculation of Tolerance Based on a Minimum Cost Approach
15. Minimum Exponential Cost Allocation of Sure-Fit Tolerances
16. The Optimization Problem with Optimal Tolerance Assignment and Full Acceptance
17. The Exact Relation of Taguchi's Signal-to-Noise Ratio to His Quality Loss Function
18. A Perspective on the Taguchi Methods
19. A New Tolerance Analysis Method for Designers and Manufacturers
20. A Method for Optimal Tolerance Selection
21. Integrated Simultaneous Engineering Tolerancing
22. An Efficient Technique for Minimum-Cost Tolerance Assignment
23. Integer Programming A Framework and State-of-the-Art Survey