ADAPTIVE WORK INSTRUCTION SYSTEMS IN CYBER-PHYSICAL INDUSTRIAL ENVIRONMENTS: INTEGRATION BETWEEN PHYSICAL SYSTEM DATA, DECISION LOGIC, AND HUMAN EXECUTION
DOI:
https://doi.org/10.56238/leved.esp.v12n30-003Keywords:
Cyber-Physical Systems, Work Instructions, Adaptive Systems, Human Execution, Industry 4.0Abstract
This article addresses Adaptive Work Instruction Systems in cyber-physical industrial environments, focusing on the integration between physical system data, decision logic, and human execution. The objective was to conceptually analyze how work instructions can be repositioned as active technical components of contemporary industrial systems. The methodology consisted of a qualitative, conceptual study based on a systematic analysis of recent scientific articles related to cyber-physical systems, augmented reality, human–machine interfaces, and operator assistance systems. The results indicate that adaptive instruction architectures, based on machine states, operational events, and real- time context, promote greater alignment between guidance and operational conditions, contributing to improved execution consistency. It is concluded that integrating work instructions into the functioning of cyber-physical systems enhances support for human execution and provides relevant contributions to the design of operator-oriented industrial systems.
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References
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