Abstract
Integration of the measurement activity into the production process is an essential rule in digital enterprise technology, especially for large volume product manufacturing, such as aerospace, shipbuilding, power generation and automotive industries. Measurement resource planning is a structured method of selecting and deploying necessary measurement resources to implement quality aims of product development. In this research, a new mapping approach for measurement resource planning is proposed. Firstly, quality aims are identified in the form of a number of specifications and engineering requirements of one quality characteristics (QCs) at a specific stage of product life cycle, and also measurement systems are classified according to the attribute of QCs. Secondly, a matrix mapping approach for measurement resource planning is outlined together with an optimization algorithm for combination between quality aims and measurement systems. Finally, the proposed methodology has been studied in shipbuilding to solve the problem of measurement resource planning, by which the measurement resources are deployed to satisfy all the quality aims.
| Original language | English |
|---|---|
| Title of host publication | Advances in Intelligent and Soft Computing |
| Publisher | Springer |
| Pages | 999-1012 |
| Number of pages | 14 |
| Volume | 66 AISC |
| ISBN (Print) | 9783642104299 |
| DOIs | |
| Publication status | Published - 2010 |
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Cite this
Dai, W., Maropoulos, P. G., Tang, X., Jamshidi, J., & Cai, B. (2010). Measurement resource planning: A methodology that uses quality characteristics mapping. In Advances in Intelligent and Soft Computing (Vol. 66 AISC, pp. 999-1012). Springer. https://doi.org/10.1007/978-3-642-10430-5_77