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Linking operations objectives to actions: A plug and play approach

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  • Tan, Kim Hua
  • Platts, Ken

Abstract

This paper proposes a 'plug and play' (PnP) framework and software tool that allows managers to rapidly build simplified models of operations objectives. These models enable them to understand, study the cause-effect linkages of potential actions, and communicate such understanding to their colleagues. The salient features of the PnP framework are its ability to serve as scaffolding for managers building their own models, consulting other/prior models, and linking their own models to others', and to provide a rapid modelling approach to strategic deployment. This paper introduces the PnP principle, describes the proposed framework, and discusses the issues and challenges related to its development.

Suggested Citation

  • Tan, Kim Hua & Platts, Ken, 2009. "Linking operations objectives to actions: A plug and play approach," International Journal of Production Economics, Elsevier, vol. 121(2), pages 610-619, October.
    • Handle: RePEc:eee:proeco:v:121:y:2009:i:2:p:610-619
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    References listed on IDEAS

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    1. Tan, Kim Hua & Platts, Ken, 2004. "Operationalising strategy: Mapping manufacturing variables," International Journal of Production Economics, Elsevier, vol. 89(3), pages 379-393, June.
    2. Kenneth R. MacCrimmon & Christian Wagner, 1994. "Stimulating Ideas Through Creative Software," Management Science, INFORMS, vol. 40(11), pages 1514-1532, November.
    3. Kim Hua Tan & Ken Platts, 2002. "Managing Manufacturing Action Plans," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 6(04), pages 369-385.
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    Cited by:

    1. Silvestro, Rhian, 2014. "Performance topology mapping: understanding the drivers of performance," International Journal of Production Economics, Elsevier, vol. 156(C), pages 269-282.
    2. Pinheiro de Lima, Edson & Gouvea da Costa, Sergio E. & Angelis, Jannis Jan & Munik, Juliano, 2013. "Performance measurement systems: A consensual analysis of their roles," International Journal of Production Economics, Elsevier, vol. 146(2), pages 524-542.
    3. Youchao Tan & Yang Zhang & Roohollah Khodaverdi, 2017. "Service performance evaluation using data envelopment analysis and balance scorecard approach: an application to automotive industry," Annals of Operations Research, Springer, vol. 248(1), pages 449-470, January.

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