Abstract
In general, process control automation affects operator work knowledge and can potentially hamper development of the operators ability to handle production disturbances. In this case study the effects on work knowledge caused by automation at a chemical industry is studied, and possibilities for overcoming negative effects of automation with computer-supported learning are explored. The aim is to develop a learning environment where a continuous dialogue on recurring problems in production can support operators in developing better skills to handle production disturbances.
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© 1998 Springer Science+Business Media Dordrecht
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Nilsson, J. (1998). Handling the unexpected — a case study of computer support for workplace learning in chemical industry. In: Smeds, R., Riis, J.O. (eds) Experimental Learning in Production Management. IFIP — The International Federation for Information Processing. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35354-8_6
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DOI: https://doi.org/10.1007/978-0-387-35354-8_6
Publisher Name: Springer, Boston, MA
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