This thesis develops a methodology that integrates Quality Function Deployment (QFD), Theory of Inventive Problem Solving (TRIZ) and Design Structure Matrix (DSM) to address the problem of analyzing, interpreting, and transforming the knowledge data flow during the product development process.
A product development process is the sequence of steps an enterprise takes to conceive, design, and commercialize a product. The general process includes: Planning, Concept Development, System-Level Design, Detail Design, Testing and Refinement, and Production Ramp-Up. One way to think about the development process is as a knowledge-processing system.
Prior to this study, there are few articles integrating TRIZ and QFD. QFD is a tool for "identifying the needs of the customer and translating the language of the customer into the language of the engineer". The QFD process also identifies engineering contradictions within the existing system. TRIZ can provide solutions for these contradictions. It offers one of the most efficient means to generate creative solutions for the desired improvements prioritized in QFD. Once a creative solution is developed using TRIZ, the corresponding part characteristics can be further decomposed using QFD.
If we think of knowledge-processing as a work process, then both rework and iterative design requires additional project resources and time. Iteration is the repetition of activities due to the input of new information. DSM is an effective tool to plan and manage product development processes through information flow analysis by helping managers understand and mitigate unintentional rework or iteration.
Library of Congress Subject Headings
New products--Management; Creative thinking; Technological innovations--Management; Problem solving--Methodology; Quality function deployment
Department, Program, or Center
Industrial and Systems Engineering (KGCOE)
Qiu, Jiefei, "Product development knowledge-processing system" (2005). Thesis. Rochester Institute of Technology. Accessed from
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