Socio-Technical Learning System at the Workplace

Enhancement of Employee Competence through Socio-Technical Assistance Systems for Flexible Use at the Workplace

JournalIndustrie 4.0 Management
Issue Volume 37, 2021, Edition 6, Pages 47-51
Open Accesshttps://doi.org/10.30844/I40M_21-6_S47-51
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Abstract

The complexity of manual activities in different areas of a company is increasing due to smaller batch sizes, higher product variants and shorter product life cycles. The balanced provision of information ensures shorter training times, higher acceptance among employees and can be used directly at the workplace. For system implementation, organizational factors must also be considered in accordance of a socio-technical system design.

Bibliography

[1] Ulich, E.: Arbeitssysteme als Soziotechnische Systeme − Eine Erinnerung. In: Journal Psychologie des Alltagshan- delns 6 (2013) 1, S. 4-12.
[2] Grote, G.: Autonomie und Kontrolle. Zur Gestaltung automatisierter und risikoreicher Arbeitssysteme. In: Ulich, E. (Hrsg): Schriftenreihe Mensch, Technik, Organisati- on. Band 16. Zürich 1997.
[3] Grote, G.; Wäfler, T.; Ryser, C.; Weik, S.; Zölch, M.; Windischer, A.: Wie sich Mensch und Technik sinnvoll ergänzen. Die Analyse automatisierter Produktionssysteme mit KOMPASS. In: Ulich, E. (Hrsg): Schriftenreihe Mensch, Tech- nik, Organisation. Band 19. Zürich 1999.
[4] Emery, F. E.: Characteristics of socio-technical systems. In: Tavistock Institute of Human Relations. Document No. 527. London 1959.
[5] Emery, F. E.; Trist, E. L.: Socio-technical systems. In: Churchman, C. W.; Verhulst, M. (Hrsg): Management science, models and techniques 2 (1960).
[6] Trist, E. L.: The evolution of sociotechnical systems. A conceptual framework and an action research program. In: Issues in the quality of working life, Occasional Papers No. 2. Toronto (Kanada) 1981.
[7] Friesling, E.: Arbeitsanalyse und Arbeitsgestaltung. In: Hoyos, C. G.; Frey, D. (Hrsg): Arbeits- und Organisationspsychologie. Ein Lehrbuch (1999).
[8] Oesterreich, R.: Konzepte zu Arbeitsbedingungen und Gesundheit – Fünf Erklärungsmodelle im Vergleich. In: Oesterreich, R.; Volpert, W. (Hrsg): Psychologie gesundheitsge- rechter Arbeitsbedingungen, Band 59 (1999).
[9] Hermann, T.: Kreatives Prozessdesign. Konzepte und Methoden zur Integration von Prozessorganisation, Technik und Arbeitsgestaltung. Berlin Heidelberg 2012.
[10] Adler, P.; Dander, H.: Digitale Unterstützung beim Lernen am manuellen Arbeitsplatz. In: Betriebspraxis & Arbeitsforschung. Zeitschrift für ange- wandte Arbeitswissenschaft 237 (2019), S. 24-31.
[11] Csikszentmihalyi, M.: Flow. The psychology of optimal experience. North Charleston, South Carolina (USA) 2018.
[12] REFA – Verband für Arbeitsstudien und Betriebsorganisation: Datenermittlung. Methodenlehre der Betriebsorganisation. München 1997.
[13] Bokranz, R.; Landau, K.: Produktionsmanagement von Arbeitssystemen. MTM-Handbuch. Stuttgart 2006.
[14] Wright, T. P.: Factors Affecting the Cost of Airplanes. In: Journal of the Aeronautical Sciences 3 (1936), S. 122-128.
[15] Dander, H.: Interaktives und wissensbasiertes Informationssystem für manuelle Tätigkeiten. Dissertation. In: Berichte aus dem Maschinenbau. Aachen 2018.
[16] de Greiff, M.: Die Prognose von Lernkurven in der manuellen Montage unter besonderer Berücksichtigung der Lernkurven von Grundbewegungen. Dissertation. In: Fortschritt-Berichte VDI, Reihe 2, Fertigungstechnik, 592. Düsseldorf 2001.

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