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Modelling human performance within manufacturing systems design: from a theoretical towards a practical framework

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  • T S Baines
  • O Benedettini

Abstract

Computer-based simulation is frequently used to evaluate the capabilities of proposed manufacturing system designs. Unfortunately, the real systems are often found to perform quite differently from simulation predictions and one possible reason for this is an over-simplistic representation of workers' behaviour within current simulation techniques. The accuracy of design predictions could be improved through a modelling tool that integrates with computer-based simulation and incorporates the factors and relationships that determine workers' performance. This paper explores the viability of developing a similar tool based on our previously published theoretical modelling framework. It focuses on evolving this purely theoretical framework towards a practical modelling tool that can actually be used to expand the capabilities of current simulation techniques. Based on an industrial study, the paper investigates how the theoretical framework works in practice, analyses strengths and weaknesses in its formulation, and proposes developments that can contribute towards enabling human performance modelling in a practical way.

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  • T S Baines & O Benedettini, 2007. "Modelling human performance within manufacturing systems design: from a theoretical towards a practical framework," Journal of Simulation, Taylor & Francis Journals, vol. 1(2), pages 121-130, May.
    • Handle: RePEc:taf:tjsmxx:v:1:y:2007:i:2:p:121-130
    DOI: 10.1057/palgrave.jos.4250017
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    Cited by:

    1. Maria Chiara Leva & Micaela Demichela & Carlos Albarrán Morillo & Franco Modaffari & Lorenzo Comberti, 2023. "Optimizing Human Performance to Enhance Safety: A Case Study in an Automotive Plant," Sustainability, MDPI, vol. 15(14), pages 1-22, July.

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