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Why modelling and model use matter

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  • M Pidd

    (Lancaster University Management School)

Abstract

When OR/MS analysts develop a model, how are they intending this model to be used? There are many different ways in which OR/MS models may be classified and one important categorisation is the intended use of the model. Some models are intended for routine use on a frequent basis, with little or no human intervention. Others form part of human decision process and provide support to that process. Considering model validation, data requirements, added value and possible pitfalls leads to a theory of model use based on four categories: decision automation, routine decision support, investigation and improvement, and generating insights for debate. A pilot investigation in an OR/MS group demonstrates that this categorisation could provide the basis for empirical research into a theory of model use in operational research. A theory of model use would be of value to academics, who could prioritise their work, and to practitioners, who could place their own work in a broader landscape.

Suggested Citation

  • M Pidd, 2010. "Why modelling and model use matter," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 14-24, January.
    • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:1:d:10.1057_jors.2009.141
    DOI: 10.1057/jors.2009.141
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    References listed on IDEAS

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    Cited by:

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    3. Maria Ljunggren Söderman & Ola Eriksson & Anna Björklund & Göran Östblom & Tomas Ekvall & Göran Finnveden & Yevgeniya Arushanyan & Jan-Olov Sundqvist, 2016. "Integrated Economic and Environmental Assessment of Waste Policy Instruments," Sustainability, MDPI, vol. 8(5), pages 1-21, April.
    4. Stephan Onggo & Michael Pidd & Didier Soopramanien & Dave Worthington, 2010. "Simulation of Career Development in the European Commission," Interfaces, INFORMS, vol. 40(3), pages 184-195, June.
    5. Gogi, Anastasia & Tako, Antuela A. & Robinson, Stewart, 2016. "An experimental investigation into the role of simulation models in generating insights," European Journal of Operational Research, Elsevier, vol. 249(3), pages 931-944.
    6. Janová, Jitka & Hampel, David & Nerudová, Danuše, 2019. "Design and validation of a tax sustainability index," European Journal of Operational Research, Elsevier, vol. 278(3), pages 916-926.
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    8. Lund, Henrik & Mathiesen, Brian Vad, 2012. "The role of Carbon Capture and Storage in a future sustainable energy system," Energy, Elsevier, vol. 44(1), pages 469-476.
    9. Keshtkaran, Mahsa & Churilov, Leonid & Hearne, John & Abbasi, Babak & Meretoja, Atte, 2016. "Validation of a decision support model for investigation and improvement in stroke thrombolysis," European Journal of Operational Research, Elsevier, vol. 253(1), pages 154-169.

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