Measurement Resource Planning: A Methodology That Uses Quality Characteristics Mapping

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.

[1]  W. D. Li,et al.  A simulated annealing-based optimization approach for integrated process planning and scheduling , 2007, Int. J. Comput. Integr. Manuf..

[2]  Gülçin Büyüközkan,et al.  A fuzzy optimization model for QFD planning process using analytic network approach , 2006, Eur. J. Oper. Res..

[3]  Alena Labodová,et al.  Implementing integrated management systems using a risk analysis based approach , 2004 .

[4]  Hu Yun,et al.  Data model for quality in product lifecycle , 2008, Comput. Ind..

[5]  Dongbo Li,et al.  A clustering-based modeling scheme of the manufacturing resources for process planning , 2008 .

[6]  Lian Ding,et al.  Key characteristics management in product lifecycle management: A survey of methodologies and practices , 2008 .

[7]  Meiqing Wang MAPPING CUSTOMER REQUIREMENTS TO PRODUCT QUALITY CHARACTERISTICS , 2004 .

[8]  Min Xie,et al.  Prioritizing quality characteristics in dynamic quality function deployment , 2006 .

[9]  B. Bergman,et al.  Quality from Customer Needs to Customer Satisfaction , 1994 .

[10]  Kwai-Sang Chin,et al.  A hybrid rough-cut process planning for quality , 2003 .

[11]  Ming Zhou,et al.  An optimization model and multiple matching heuristics for quality planning in manufacturing systems , 2002 .

[12]  Edward G. Schilling,et al.  Juran's Quality Handbook , 1998 .

[13]  Kalyan Singhal,et al.  The domain of production and operations management and the role of Elwood Buffa in its delineation , 2007 .

[14]  Paul G. Maropoulos,et al.  Integration of measurement planning with aggregate product modelling for spacecraft design and assembly , 2006 .

[15]  A. Mohib,et al.  Feature-based hybrid inspection planning: A mathematical programming approach , 2009, Int. J. Comput. Integr. Manuf..

[16]  M. Bobrek,et al.  Implementation of APQP-concept in design of QMS , 2005 .

[17]  Anna C. Thornton,et al.  A Mathematical Framework for the Key Characteristic Process , 1999 .

[18]  Paul G. Maropoulos,et al.  Key Characteristics - Driven Rough-Cut Process Planning , 2007 .