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Identifying measurement knowledge and its relationship toengineering design

Published online by Cambridge University Press:  09 October 2014

P. Saunders ,
S. Giudice  and
J. Swart
P. Saunders*
Affiliation:
Department of Mechanical Engineering, University of Bath, BA2 7AY, UK
S. Giudice
Affiliation:
Measurement Engineering, Rolls-Royce plc, Derby, DE24 8BJ, UK
J. Swart
Affiliation:
School of Management, University of Bath, BA2 7AY, UK
*
⋆ Correspondence:[email protected]
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Abstract

Capable measurement of the size and shape of components is a prerequisite for precisionmanufacturers. However, the design community may not fully consider measurement issuesthat could arise when components are manufactured, and the manufacturing community may notwholly appreciate the value that measurement data can bring to design. This paperinvestigates measurement knowledge in this relationship to find out if there are specificknowledge types that could be developed to improve the likelihood of fulfilling designintent. A proven systems-based approach was applied to an illustrative case to develop amodel of knowledge flows and identify key knowledge types. For this case study, it wasfound that knowledge about measurement is dispersed and managed through a variety ofpractices which are relatively isolated from design. Furthermore, conflict was uncoveredbetween the knowledge types, reinforcing the view that a more inclusive and integratedapproach is required. In the course of the research, a novel methodology was developed inwhich group modelling was used to generate questions, rather than the more typicalapproach of grounding a systems model on interview data.

Keywords

Knowledge managementmanufacturing measurementengineering design
Type
Research Article
Information
International Journal of Metrology and Quality Engineering , Volume 5 , Issue 2 , 2014 , 203
Copyright
© EDP Sciences 2014

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References

Swart, J., That’s why it matters: How knowing creates value, Management Learning 42, 319–332 (2011) CrossRefGoogle Scholar
Powell, J.H., Swart, J., This is what the fuss is about: a systemic modelling for organisational knowing, J. Knowl. Manag. 9, 45–58 (2005) CrossRefGoogle Scholar
Hubka, V., Design for Quality and Design Methodology, J. Eng. Design 3, 5–15 (1992) CrossRefGoogle Scholar
Mørup, M., A New Design for Quality Paradigm, J. Eng. Design 3, 63–80 (1992) CrossRefGoogle Scholar
M.S. Phadke, Quality Engineering using Robust Design (Prentice-Hall, Engelwood Cliffs, 1989)
A. Deshpande, The use of geometric uncertainty data in aero engine structural analysis and design, Ph.D. thesis, University of Southampton, 2013, pp. 111–138
Cristofolini, I., Filippi, S., Bandera, C., The role of product feature relations in a knowledge based methodology to manage design modifications for product measurability, Int. J. Prod. Res. 47, 2373–2389 (2009) CrossRefGoogle Scholar
National Measurement Office, Rolls-Royce Industrial Case Study: 2010, http://www.bis.gov.uk/assets/nmo/docs/nms/economic-reviews-august-2010-updates/rrcasestudy-july-2010.pdf [Accessed 13 April 2014]
McMahon, C., Lowe, A., Culley, S., Knowledge management in engineering design: personalization and codification, J. Eng. Design 15, 307–325 (2004) CrossRefGoogle Scholar
D. Wynn, J. Clarkson, Models of designing, in Design process improvement: a review of current practice, edited by J. Clarkson, C. Eckert (Springer-Verlag, London, 2004), pp. 34–59
T. Ray, S. Clegg, Tacit Knowing, Communication and Power: Lessons from Japan? in Managing Knowledge, edited by S. Little, T. Ray, 2nd edn. (Sage, London, 2005), pp. 319–347
M. Polanyi, The Tacit Dimension (Routledge and Kegan Paul, London, 1966)
Nonaka, I., A dynamic theory of organizational knowledge creation, Organiz. Sci. 5, 14–37 (1994) CrossRefGoogle Scholar
I. Nonaka, H. Takeuchi, The Knowledge-Creating Company (Oxford University Press, New York, 1995)
Wilson, T., The nonsense of “knowledge management”, Inform. Res. 8, 1–33 (2002) Google Scholar
Nonaka, I., Toyama, R., Konno, N., SECI, Ba and Leadership: a Unified Model of Dynamic Knowledge Creation, Long Range Planning 33, 5–34 (2000) CrossRefGoogle Scholar
H. Tsoukas, Do we really understand tacit knowledge? in: M. Easterby-Smith, in Handbook of Organizational Learning and Knowledge Management, edited by M. Lyles (Blackwell, Oxford, 2003), pp. 410–427
Cook, S.D.N., Brown, J.S., Bridging epistemologies: the generative dance between organizational knowledge and organizational knowing, Organiz. Sci. 10, 381–400 (1999) CrossRefGoogle Scholar
Sydenham, P., Relationship between measurement, knowledge and advancement, Measurement 34, 3–16 (2003) CrossRefGoogle Scholar
Kunzmann, H., Pfeifer, T., Schmitt, R., Schwenke, H., Weckenmann, A., Productive Metrology – Adding Value to Manufacture, CIRP Annal. Manufact. Technol. 54, 155–168 (2005) CrossRefGoogle Scholar
A. Koestler, The Ghost in the Machine (Hutchinson & Co, London, 1967)
NIST, Federal Information Processing Standards Publication 183 (National Institute of Standards and Technology, Gaithersburg, 1993)
Giaglis, G., A taxonomy of business process modeling and information systems modeling techniques, Int. J. Flexible Manufact. Syst. 13, 209–228 (2001) CrossRefGoogle Scholar
P.M. Senge, The Fifth Discipline: The Art and Practice of the Learning Organization, 2nd edn. (Random House, London, 2006)
Demoly, F., Yan, X., Eynard, B., Integrated product relationships management: a model to enable concurrent product design and assembly sequence planning, J. Eng. Design 23, 544–561 (2012) CrossRefGoogle Scholar
Maropoulos, P., Ceglarek, D., Design verification and validation in product lifecycle, CIRP Annal. Manufact. Technol. 59, 740–759 (2010) CrossRefGoogle Scholar
Ventana Systems, Vensim, http://vensim.com [Accessed 13 April 2014]
N. van Gestel, Determining measurement uncertainties of feature measurements on CMMs, Ph.D. thesis, University of Leuven, 2011, pp. 37–38
Wilhelm, R.G., Hocken, R., Schwenke, H., Task specific uncertainty in coordinate measurement, CIRP Annal. Manufact. 50, 553–563 (2001) CrossRefGoogle Scholar
Krogstie, L., Andersson, P., A Case Study on Reuse of Manufacturing Knowledge – Comparing Defense Practices with Automotive & Aerospace Practices, Proc. CIRP 3, 430–435 (2012) CrossRefGoogle Scholar
Nielsen, H.S., Recent developments in International Organization for Standardization geometrical product specification standards and strategic plans for future work, Proceedings of the Institution of Mechanical Engineers, Part B, J. Eng. Manufact. 227, 643–649 (2013) CrossRefGoogle Scholar
ISO 17450-2, Geometric product specifications (GPS) – General concepts – Part 2: Basic tenets, specifications, operators, uncertainties and ambiguities (ISO, Geneva, 2012)
M. Yearworth, Inductive Modelling of an Entrepreneurial System, 28th International Conference of the System Dynamics Society, 25-29 July 2010, Seoul, Korea