Robust quality function deployment for supporting technology roadmapping | |
| Author | Nguyen Thi Ngoc Truc |
| Call Number | AIT Thesis no.ISE-08-08 |
| Subject(s) | Quality function deployment Technological innovations--Quality control |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Industrial Engineering and Management, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. ISE-08-08 |
| Abstract | Manufacturers are facing the rapid growths of technology innovations and customer's requirements. Technology Roadmapping (TRM) has been introduced to assist the manufacturers in researching and applying the suitable technology to develop the strategic products satisfying the customer needs faster. Quality Function Deployment (QFD) is among supporting tools for TRM, in order to link customers' needs to technology solutions. However, the uncertainty in QFD may mislead the manufactures to the wrong direction. Recently, Robust QFD has been developed, which is capable of considering the uncertainty in customer's attributes and the output variability of QFD with the good framework and the proposed method. Nevertheless, the results of the proposed method are trivial to select some critical outputs with high priority for supporting TRM process. Therefore, this study focuses on improving the existing robust QFD method. Rather than estimating the random variables by linear interpolation concept and generate the inverse cumulative distribution function by polynomial form, the new approach bases on the good fit of well-known distributions to estimate and to generate the random variables. Moreover, the Robust QFD modeling is also expanded, which is capable of considering two critical uncertainty factors that are customers' need and the improvement ratio. Therein, the improvement ratio comes from the competitive analysis that expresses the internal and external information. Hence, the expanded modeling can consider more information when making decisions that is critical for supporting Technology Roadmapping (TRM) in particular and for planning and designing new or improved products Iservices in general |
| Year | 2008 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ISE-08-08 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Industrial Systems Engineering (ISE) |
| Chairperson(s) | Pisut Koomsap; |
| Examination Committee(s) | Voratas Kachitvichyanukul;Huynh Trung Luong; |
| Scholarship Donor(s) | Can Tho Scholarship Program, Vietnam; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2008 |