Design for Quality

Next, we review the eosts of quality that typieally exist in a manufaeturing business, and how these are related to the way produets fail in serviee. The remainder of the ehapter diseusses the important elements of risk assessment as a basis for design. This puts in eontext the work on designing for quality and reliability, whieh are the main topies of the book. 

In order to quantify the sometimes intangible elements of variability associated with the product design and the safety aspects in service requires an understanding of risk . The assessment of risk in terms of general engineering practice will be discussed next. This will lead to a better understanding of designing for quality and reliability, which is the main focus of the book. 

Andersson, P. 1993 Design for Quality - As Perceived by Industry. In Proceedings ICED 93, The Hague, 1123-1126. 

Andersson, P. 1994 Early Design Phases and their Role in Designing for Quality. Journal of Engineering Design, 5(4), 283-298. 

Braunsperger, M. 1996 Designing for Quality - an integrated approach for simultaneous quality engineering. Proc. Instn Mech. Engrs, Part B, 210(B1), 1-10. 

Dale, B. and Oakland, J. S. 1994 Designing for Quality. In Dale, B. (ed.). Managing Quality, 2nd Edition. NY Prentice-Hall. 

Jeang, A. 1995 Economic Tolerance Design for Quality. Quality and Reliability Engineering International, 11, 113-121. 

Morup, M. 1993 Design for Quality. PhD Thesis, Institute for Engineering Design, Technical University of Denmark, Lyngby. 

Vasseur, H., Kurfess, T. R. and Cagaii, J. 1992 A Decision-Analytic Method for Competitive Design for Quality. Advances in Design Automation, 1, DE-Vol. 44-1, ASME, 329-336. 

To improve customer satisfaction and business competitiveness, companies need to reduce the levels of non-conformance and attendant failure costs associated with poor product design and development. Attention needs to be focused on the quality and reliability of the design as early as possible in the product development process. This can be achieved by understanding the potential for variability in design parameters and the likely failure consequences in order to reduce the overall risk. The effective use of tools and techniques for designing for quality and reliability can provide this necessary understanding to reduce failure costs. 

R. H. Lochner, J.E. Matar, Designing for quality an introduction to the best of Taguchi and western methods of statistical experimental design. Chapman and Hall, London-Madras, 1990. 

Byers, T. E. Design for quality, Manufacturing Controls Seminar, Proprietary Association, Cherry Hill, NJ, Oct. 11, 1974. 

Most mechanical tests developed for fats are empirical in nature and are usually designed for quality control purposes, and they attempt to simulate consumer sensory perception (3, 4). These large-deformation tests measure hardness-related parameters, which are then compared with textural attributes evaluated by a sensory panel (3, 5). These tests include penetrometry using cone, pin, cylinder and several other geometries (3, 6-12), compression (13), extrusion (13, 14), spreadability (15, 16), texture profile analysis (2), shear tests (13), and sectility measurements (14). These methods are usually simple and rapid, and they require relatively inexpensive equipment (3, 4, 17). The majority of these tests are based on the breakdown of structure and usually yield single-parameter measurements such as hardness, yield stress, and spreadability, among others (4, 17-20). The relationship between these mechanical tests and the structure of a fat has, however, not been established. The ultimate aim of any materials science endeavor is to examine the relationship between structure and macroscopic properties. 

These last few points are perhaps the most important in the whole design for quality, since validation provides full objective confirmation that the whole process is fully integrated to achieve the quality specification. 

Chapters in Juran and Giyna cover, in depth, Designing for (Quality and Designing for Quality—Statistical Tools. ... 

Each preliminary component specification and build-to baseline generated during preliminary design of the subsystem should be evolved into a component specification and a build-to baseline, respectively. Final component doenments should include idmitification of recommended parts and interfaces resolution of component-level risks and for each component, down to the lowest subcomponent, the design for quality factors to include, as appropriate, producibility, verifiability, ease of distribution, usability, supportability, trainabdity, and disposabdity. 

Peace G S (1993) Taguchi methods - a hands-on approach, Addison-Wesley, Reading, pp. 9-10. Lochner R H and Matar J E (1990) Designing for quality An introduction to the best of Taguchi and western methods of statistical experimental design, Quality Resources, New York, NY, p. 243. Ram A, Meir T and Miltz J (1980) Durability of polyethylene films. Intern J Polym Mater 8 323-336. 

Robert, H.L., Lochner, R.H., 1990. Designing for Quality An Introduction to the Best of Taguchi and Western Methods of Statistical Experimental Design. Robert H. Lochner, Joseph E. Matar, White Plains, N.Y. Quality Resources. ASQC Quahty Press, Milwaukee, Wis. 

NATO AQAP-1 standard of Quality Management, the first of many standards reflecting increasingly complex systems and the need to design for quality. 

Quality Function Deployment, a Technique of Design for Quality... 

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