Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/109546
Title: Indicative method of human failure in sustainable chain of custody management
Authors: Sławińska, Małgorzata
Wróbel, Kamil
Keywords: Industry 4.0
Business logistics -- Technological innovations
Industrial safety
Cognitive maps (Psychology)
Human engineering
Issue Date: 2021
Publisher: University of Piraeus. International Strategic Management Association
Citation: Sławińska, M., & Wróbel, K. (2021). Indicative method of human failure in sustainable chain of custody management. European Research Studies Journal, 24(s5), 709-725.
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).
URI: https://www.um.edu.mt/library/oar/handle/123456789/109546
Appears in Collections:European Research Studies Journal, Volume 24, Special Issue 5

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