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Indicative Method of Human Failure in Sustainable Chain of Custody Management

Author

Listed:
  • Malgorzata Slawinska
  • Kamil Wrobel

Abstract

Purpose: The purpose is for the action chain (AC) of sustainable management (SM) by monitoring the failure rates of the operator of technical devices and presentation of the results of selected validation of the developed method. Design/Methodology/Approach: The presented method focuses on the monitoring and assessment of the organization’s state, diagnosis of the causes of deviations from the operator's desired state and modeling the state of the system as a result of the planned implementation of ergonomic interventions (IE). Measuring the operator's reaction creates knowledge about the interaction and possibilities of modifying the system thanks to objective data. Findings: The presented method allows to characterize the working environment (including employee workload) with the values of variables which constitute fuzzy cognitive maps (FCM) concepts. The state of the interaction process is determined by potential distractors, which include, inter alia, factors of the work environment, conditions of cognitive and decision-making processes, conditions of manual activities and personality traits. Practical Implications: The implementation of the indicator method enables the assessment of the potential of IE, which may prove to be a threat to safety, task efficiency and convenience. Originality/Value: The use of monitoring techniques and the analysis of operator loads and reliability in Industry 4.0 (I4.0) is possible in real time, when registering psychophysiological indicators for the so-called User experience (UX).

Suggested Citation

  • Malgorzata Slawinska & Kamil Wrobel, 2021. "Indicative Method of Human Failure in Sustainable Chain of Custody Management," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 5), pages 709-725.
  • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:special5:p:709-725
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    More about this item

    Keywords

    Human factor; work safety; ergonomic intervention; industry 4.0; fuzzy cognitive maps.;
    All these keywords.

    JEL classification:

    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development

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