TY - GEN
T1 - Quantifying the house of quality for optimal product design
AU - Locascio, Angela
AU - Thurston, Deborah L.
N1 - Publisher Copyright:
© 1994 American Society of Mechanical Engineers (ASME). All rights reserved.
PY - 1994
Y1 - 1994
N2 - Manufacturers seek to improve the quality of their products while reducing costs and decreasing production time. In this paper, we describe a 'design for X' methodology that addresses multiple issues that contribute to overall product quality. This methodology builds on the popular House of Quality symbolic construct by using customer preferences and a transformation of the customer-engineering relationship matrix to form constraints on the feasible design space. Multiattribute Utility Theory, a decision analysis tool, provides the mathematical basis to model competing design goals simultaneously and to make rational decisions to af feet overall design improvement. When coupled with the constraints, this construct completes a mathematical programming model of the concurrent design problem. With an example, we demonstrate how to extract qualitative information from the House of Quality, formulate the model, and solve it to determine the best design - defined as the optimum combination of multiple quality attributes. This methodology provides a formal framework for decision making in design, allowing manufacturers to Design for Quality.
AB - Manufacturers seek to improve the quality of their products while reducing costs and decreasing production time. In this paper, we describe a 'design for X' methodology that addresses multiple issues that contribute to overall product quality. This methodology builds on the popular House of Quality symbolic construct by using customer preferences and a transformation of the customer-engineering relationship matrix to form constraints on the feasible design space. Multiattribute Utility Theory, a decision analysis tool, provides the mathematical basis to model competing design goals simultaneously and to make rational decisions to af feet overall design improvement. When coupled with the constraints, this construct completes a mathematical programming model of the concurrent design problem. With an example, we demonstrate how to extract qualitative information from the House of Quality, formulate the model, and solve it to determine the best design - defined as the optimum combination of multiple quality attributes. This methodology provides a formal framework for decision making in design, allowing manufacturers to Design for Quality.
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U2 - 10.1115/DETC1994-0005
DO - 10.1115/DETC1994-0005
M3 - Conference contribution
AN - SCOPUS:0242627155
T3 - Proceedings of the ASME Design Engineering Technical Conference
SP - 43
EP - 54
BT - 6th International Conference on Design Theory and Methodology
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 1994 Design Technical Conferences, DETC 1994, collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium
Y2 - 11 September 1994 through 14 September 1994
ER -