A DYNAMIC CURATION METHOD FOR MANUFACTURING-RELATED KNOWLEDGE - rev0.pdf (548.95 kB)

A dynamic curation method for manufacturing-related knowledge

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journal contribution
posted on 15.12.2016 by Robert Wood
A method for the dynamic curation of manufacturing-related knowledge is proposed, based on the impact of successive paradigm introduction on the network structure within manufacturing companies. This draws together manufacturing system structure in terms of interacting component network types, the nature and consequences of knowledge silos and the underpinning dichotomous influence of language. The need and opportunities for an objective- rather than subjective paradigm-based view of manufacturing are identified, leading to a curation process in which paradigms and other knowledge specialisms are different viewpoints based on particular models of manufacturing processes and resources. The consequences of this are explored in terms of knowledge silo reduction, improved communication within component social- and information networks, increased operational resilience and better informed decision-making for future business.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

International Journal of Production Research

Pages

1 - 13

Citation

WOOD, R.L., 2016. A dynamic curation method for manufacturing-related knowledge. International Journal of Production Research, 55 (3), pp. 891-903.

Publisher

© Taylor and Francis

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

02/08/2016

Publication date

2016

Notes

This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 18 Aug 2016, available online: http://dx.doi.org/10.1080/00207543.2016.1222089

ISSN

0020-7543

eISSN

1366-588X

Language

en

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