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Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system

Author

Listed:
  • S Robinson

    (University of Warwick)

  • T Alifantis

    (University of Warwick)

  • J S Edwards

    (Aston University)

  • J Ladbrook

    (Ford Motor Company, Dunton Engineering Centre (15/4A-F04-D), Laindon, Basildon)

  • A Waller

    (Lanner Group, The Oaks)

Abstract

The performance of most operations systems is significantly affected by the interaction of human decision-makers. A methodology, based on the use of visual interactive simulation (VIS) and artificial intelligence (AI), is described that aims to identify and improve human decision-making in operations systems. The methodology, known as ‘knowledge-based improvement’ (KBI), elicits knowledge from a decision-maker via a VIS and then uses AI methods to represent decision-making. By linking the VIS and AI representation, it is possible to predict the performance of the operations system under different decision-making strategies and to search for improved strategies. The KBI methodology is applied to the decision-making surrounding unplanned maintenance operations at a Ford Motor Company engine assembly plant.

Suggested Citation

  • S Robinson & T Alifantis & J S Edwards & J Ladbrook & A Waller, 2005. "Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(8), pages 912-921, August.
  • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:8:d:10.1057_palgrave.jors.2601915
    DOI: 10.1057/palgrave.jors.2601915
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    References listed on IDEAS

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    Cited by:

    1. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.
    2. Stewart Robinson & Stavrianna Dimitriou & Kathy Kotiadis, 2017. "Addressing the sample size problem in behavioural operational research: simulating the newsvendor problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(3), pages 253-268, March.

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