Abstract
Today’s enterprises require effective systems of knowledge management (KM) that guarantee proper know-how recording and processing in order to create innovative products and technologies. Part of a company’s know-how is recorded in an enterprise resource planning (ERP) system database as data and information which could be transformed into knowledge. In this, paper, a model of a KM system for manufacturing companies that carry out engineer-to-order (ETO) production is proposed. The model is based on ERP systems and includes tools that enable data and information processing and its subsequent conversion into a form of knowledge. An analysis and understanding of the model may result in an improvement of innovation processes in high-tech manufacturing companies. The proposed model may additionally support the research and design activities of manufacturing enterprises. Illustrative examples are provided.
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Kłos, S. (2016). A Model of an ERP-Based Knowledge Management System for Engineer-to-Order Enterprises. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2016. Communications in Computer and Information Science, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-46254-7_4
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DOI: https://doi.org/10.1007/978-3-319-46254-7_4
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