Assessing the effects of Human–Cyber–Physical Systems on Machine Reliability: An Agent-Based Simulation Approach | ||
| Industrial Management Journal | ||
| دوره 18، شماره 3، 2026، صفحه 325-358 اصل مقاله (1.7 M) | ||
| نوع مقاله: Original Research Article | ||
| شناسه دیجیتال (DOI): 10.22059/imj.2026.411894.1008292 | ||
| نویسندگان | ||
| Armina Sadat Daftarian1؛ Saeed Jahanyan* 2؛ Arash Shahin3 | ||
| 1PhD Candidate, Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran. | ||
| 2PhD, Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran. | ||
| 3. Prof., Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran. | ||
| چکیده | ||
| Objective: This study develops a quantitative Human–Cyber–Physical Systems (HCPS) framework to investigate how interactions among human operators, cyber systems, and physical assets influence machine reliability and maintenance performance in Industry 5.0. Methodology: An agent-based modeling (ABM) framework was developed to simulate interactions among three agents: a physical machine, an experience-based human operator, and a rule-based cyber decision-support system. The model was calibrated using empirical production-line data from a home-appliance manufacturer and evaluated under conventional and HCPS-enabled scenarios through 80 Monte Carlo replications and sensitivity analysis. Results: Relative to the conventional approach, the HCPS-enabled scenario was associated with lower machine downtime, fewer failures, and reduced mean time to repair (MTTR), alongside higher estimated system reliability. The observed differences were statistically significant (p < 0.05 for all metrics; Cohen's d = 31.67 for reliability), and cyber-feedback effectiveness emerged as an influential parameter in the model. Conclusion: The proposed framework demonstrates the suitability of ABM for modeling dynamic human–cyber–physical interactions and provides a reproducible approach for quantitatively evaluating HCPS in manufacturing. The findings offer practical insights for designing human-centric maintenance systems and contribute to operationalizing Industry 5.0 through measurable performance outcomes. | ||
| کلیدواژهها | ||
| Human&ndash؛ cyber&ndash؛ physical systems, predictive maintenance, agent-based simulation, machine reliability, artificial intelligence | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 63 تعداد دریافت فایل اصل مقاله: 72 |
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