SYSTEM FOR SHIFT OPTIMIZATION THROUGH COGNITIVE FATIGUE: AN INNOVATIVE APPROACH IN INDUSTRIAL ENGINEERING: SYSTEM FOR SHIFT OPTIMIZATION THROUGH COGNITIVE FATIGUE: AN INNOVATIVE APPROACH IN INDUSTRIAL ENGINEERING

Yordanka  Yankova-Yordanova

doi:10.46687/jsar.v29i1.458

Authors

Yordanka Yankova-Yordanova DEPARTMENT OF ENGINEERING LOGISTICS, FACULTY OF TECHNICAL SCIENCES, KONSTANTIN PRESLAVSKY UNIVERSITY OF SHUMEN, SHUMEN 9712, 115, UNIVERSITETSKA STR., E-MAIL: j.jordanova@shu

DOI:

https://doi.org/10.46687/jsar.v29i1.458

Keywords:

Biometric sensors, Cognitive fatigue, Error risk, Industrial engineering, Machine learning algorithms, Operational risk

Abstract

This paper presents an innovative system for workforce scheduling and optimization that integrates quantitative analysis of operators’ cognitive fatigue. Traditional scheduling models focus on staff availability and minimum task coverage while neglecting the dynamic nature of the human factor [12]. The proposed method utilizes data from behavioral and biometric sensors, combined with machine learning algorithms, to predict the onset of critical cognitive fatigue. This enables proactive and dynamic redistribution of tasks and breaks to minimize human error, enhance safety [3], and maintain consistently high productivity levels. Simulation study results demonstrate a significant reduction in error risk compared to standard rotational schedules.

Author Biography

Yordanka Yankova-Yordanova, DEPARTMENT OF ENGINEERING LOGISTICS, FACULTY OF TECHNICAL SCIENCES, KONSTANTIN PRESLAVSKY UNIVERSITY OF SHUMEN, SHUMEN 9712, 115, UNIVERSITETSKA STR., E-MAIL: j.jordanova@shu

DEPARTMENT OF ENGINEERING LOGISTICS, FACULTY OF TECHNICAL SCIENCES, KONSTANTIN PRESLAVSKY UNIVERSITY OF SHUMEN, SHUMEN 9712, 115, UNIVERSITETSKA STR., E-MAIL: j.jordanova@shu

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SYSTEM FOR SHIFT OPTIMIZATION THROUGH COGNITIVE FATIGUE: AN INNOVATIVE APPROACH IN INDUSTRIAL ENGINEERING