Industry of the future bases on people knowledge, creativeness and motivations. Although, the number of workers needed in factories of the future decreases, the requiremenets concerning employees skills have been increasing. The knowledge of employees determines the factory system quality and efficiency. The motivation of people determines continuous improvement and development realized by problems identification and elimination. Hence, adequate learning methods are required to be implemented to achieve the following goals: empower and motivate people. This paper presents chosen methods such as learning by doing, computer simulations and virtual reality which support knowledge acquisition by people being prepared for work in factories of the future. The presented methods also increase employee awareness concerning possibilities of improvements.

Human factor in industry of the future - Knowledge acquisition and motivation / Stadnicka, D.; Litwin, P.; Antonelli, D.. - In: FME TRANSACTIONS. - ISSN 1451-2092. - ELETTRONICO. - 47:4(2019), pp. 823-830. [10.5937/fmet1904823S]

Human factor in industry of the future - Knowledge acquisition and motivation

Antonelli, D.
2019

Abstract

Industry of the future bases on people knowledge, creativeness and motivations. Although, the number of workers needed in factories of the future decreases, the requiremenets concerning employees skills have been increasing. The knowledge of employees determines the factory system quality and efficiency. The motivation of people determines continuous improvement and development realized by problems identification and elimination. Hence, adequate learning methods are required to be implemented to achieve the following goals: empower and motivate people. This paper presents chosen methods such as learning by doing, computer simulations and virtual reality which support knowledge acquisition by people being prepared for work in factories of the future. The presented methods also increase employee awareness concerning possibilities of improvements.
2019
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2984073