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Early management of human factors in lean industrial systems
- Source :
- Safety Science. 119:392-398
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- There is an obvious need to redefine approach to provide and develop human resources necessary for modern industrial systems and to find new models that will meet the demands of Lean philosophy and concepts of safety and ergonomics. The authors are suggesting Early Human Resources Management (EHRM) model, inspired by developed pillar structures of Lean based World Class Manufacturing (WCM) and Total Productive Maintenance (TPM) industrial systems and based on proactive approach referring to human resources. The EHRM model is designed through the integration of Early Management and Human Resources development concepts and uses the Vertical start-up (VSU) principle for a drastic reduction of time needed for reaching the full potential and achieving the desired level of knowledge and competencies of human resources in Lean industrial systems. Practical applications: EHRM contributes to reducing the gap between expected and real performances of human resources at an early stage of their professional careers and enables the effective and efficient transition from academic to industrial environment. At the same time, cooperation, communication and knowledge transfer between industry and universities are upgraded, development of educational curricula is facilitated and build around the applicative knowledge skills, and methods.
- Subjects :
- business.industry
Computer science
05 social sciences
0211 other engineering and technologies
Public Health, Environmental and Occupational Health
Pillar
Human factors and ergonomics
02 engineering and technology
Total productive maintenance
Engineering management
Human resource management
021105 building & construction
Industrial systems
0501 psychology and cognitive sciences
Safety, Risk, Reliability and Quality
Human resources
business
Safety Research
Curriculum
Knowledge transfer
050107 human factors
Subjects
Details
- ISSN :
- 09257535
- Volume :
- 119
- Database :
- OpenAIRE
- Journal :
- Safety Science
- Accession number :
- edsair.doi...........b88131e42500f68570b28f0e89927adb
- Full Text :
- https://doi.org/10.1016/j.ssci.2018.10.008