Skip to main content

Systems engineering effective supply chain innovations

Journal Article


Abstract


  • When seeking to adopt innovative supply chain (SC) best practices from apparently better-performing organisations during re-engineering, it is important to acknowledge that context also impacts performance. Hence, the purpose of this study is to evaluate the SC uncertainty circle model for its potential to yield direct performance comparisons even when the benchmarked organisations are located in different business sectors and economic settings. Using a rigorous well-established audit methodology, longitudinal field research with an engineer-to-order SC company demonstrates how highly effective, potentially transferable best practices can be reliably identified when systems thinking is allied to a context-free uncertainty metric, and how reducing product delivery process uncertainty can itself increase innovation capability.

Publication Date


  • 2014

Citation


  • Boehme, T., Deakins, E., Pepper, M. & Towill, D. (2014). Systems engineering effective supply chain innovations. International Journal of Production Research, 52 (21), 6518-6537.

Scopus Eid


  • 2-s2.0-84908141185

Ro Metadata Url


  • http://ro.uow.edu.au/gsbpapers/429

Has Global Citation Frequency


Number Of Pages


  • 19

Start Page


  • 6518

End Page


  • 6537

Volume


  • 52

Issue


  • 21

Place Of Publication


  • United Kingdom

Abstract


  • When seeking to adopt innovative supply chain (SC) best practices from apparently better-performing organisations during re-engineering, it is important to acknowledge that context also impacts performance. Hence, the purpose of this study is to evaluate the SC uncertainty circle model for its potential to yield direct performance comparisons even when the benchmarked organisations are located in different business sectors and economic settings. Using a rigorous well-established audit methodology, longitudinal field research with an engineer-to-order SC company demonstrates how highly effective, potentially transferable best practices can be reliably identified when systems thinking is allied to a context-free uncertainty metric, and how reducing product delivery process uncertainty can itself increase innovation capability.

Publication Date


  • 2014

Citation


  • Boehme, T., Deakins, E., Pepper, M. & Towill, D. (2014). Systems engineering effective supply chain innovations. International Journal of Production Research, 52 (21), 6518-6537.

Scopus Eid


  • 2-s2.0-84908141185

Ro Metadata Url


  • http://ro.uow.edu.au/gsbpapers/429

Has Global Citation Frequency


Number Of Pages


  • 19

Start Page


  • 6518

End Page


  • 6537

Volume


  • 52

Issue


  • 21

Place Of Publication


  • United Kingdom