Content area

Abstract

Quality Function Deployment (QFD) is a well-known customer-oriented methodology, which is widely used to assist decision making in product design and development in various types of production. Determining how and to what extent certain characteristics or technical attributes (TAs) of products are to be met, with a view to gaining a higher level of overall customer satisfaction, is a key success factor in product design and development. An operational QFD planning problem with resource allocation is considered in this paper. The aim is to plan the attainment of TAs by allocating resources among the TAs with a view to achieving maximized overall customer satisfaction. Taking into account the technical and resource constraints, and the impact of the correlation among TAs, the operational QFD planning with resource allocation is formulated as a linear program and solved by a heuristics-combined Simplex Method. An overall procedure is presented to help a design team to implement this QFD design planning with resource allocation in practice. This model can bridge the gap and conflicts between the design targets at the strategic level, and resource allocations in the part deployment and operational process planning level.

Details

Title
Modelling of quality function deployment planning with resource allocation
Author
Fung, Richard Y K 1 ; Tang, Jiafu 2 ; Tu, Paul Yiliu 3 ; Chen, Yizeng 2 

 Department of Manufacturing, Engineering and Engineering Management, City University of Hong Kong, Hong Kong, PR China 
 School of Information Science and Engineering, Dept. of Systems Engineering, Northeastern University (NEU), Liaoning, PR China 
 Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Canada 
Pages
247-255
Publication year
2003
Publication date
Nov 2003
Publisher
Springer Nature B.V.
ISSN
09349839
e-ISSN
14356066
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2262568530
Copyright
Research in Engineering Design is a copyright of Springer, (2003). All Rights Reserved.