Manufacturing personnel task allocation taking into consideration skills and remote guidance based on augmented reality and intelligent decision making

ABSTRACT

In the realm of the fourth industrial revolution, the flawless and continuous operation of the technology-rich workplaces is a challenging problem. The assessment of technician skills could facilitate initially the personnel classification, and in continuation the adaptation of guidance instructions as well as the job allocation to their unique attributes. Hence, this paper presents the design and development of a tool for assessing human resources skills, job allocation and task-related support based on intelligent decision making and augmented reality (AR). Finally, the developed framework is validated in a real industrial case study of a CNC machine manufacturer.

KEYWORDS:

• Human resources allocation
• skills assessment
• knowledge management

Acknowledgments

This work has been partially supported by the H2020 EC funded project “Balancing Human and automation levels for the manufacturing workplaces of the future – MANUWORK” (GA No:723711).

Disclosure statement

No potential conflict of interest was reported by the author(s).