Abstract
Product quality planning is a fundamental part of quality assurance in manufacturing. It is composed of the distribution of quality aims over each phase in product development and the deployment of quality operations and resources to accomplish these aims. This paper proposes a quality planning methodology based on risk assessment and the planning tasks of product development are translated into evaluation of risk priorities. Firstly, a comprehensive model for quality planning is developed to address the deficiencies of traditional quality function deployment (QFD) based quality planning. Secondly, a novel failure knowledge base (FKB) based method is discussed. Then a mathematical method and algorithm of risk assessment is presented for target decomposition, measure selection, and sequence optimization. Finally, the proposed methodology has been implemented in a web based prototype software system, QQ-Planning, to solve the problem of quality planning regarding the distribution of quality targets and the deployment of quality resources, in such a way that the product requirements are satisfied and the enterprise resources are highly utilized.
| Original language | English |
|---|---|
| Title of host publication | Advances in Intelligent and Soft Computing |
| Editors | George Q Huang , K.L Mak , Paul G Maropoulos |
| Publisher | Springer |
| Pages | 223-237 |
| Number of pages | 15 |
| Volume | 66 AISC |
| ISBN (Print) | 9783642104299 |
| Publication status | Published - 2010 |