Abstract
This article deals with lean manufacturing principles and its model. We describe basic principles, metrics and rules for creating lean manufacturing knowledge base. The case study included in this paper deals with creating of a knowledge base that supports an implementation of the concept of lean manufacturing. The knowledge base could be used for identification of waste in each level of production areas. The knowledge base also can be used for a recommendation of appropriate methods and tools of industrial engineering to reduce the waste. The knowledge base is build using the expert system NEST.
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Dolák, R., Górecki, J., Slechan, L., Kubát, M. (2014). Creating a Knowledge Base to Support the Concept of Lean Manufacturing Using Expert System NEST. In: Hwang, D., Jung, J.J., Nguyen, NT. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2014. Lecture Notes in Computer Science(), vol 8733. Springer, Cham. https://doi.org/10.1007/978-3-319-11289-3_25
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DOI: https://doi.org/10.1007/978-3-319-11289-3_25
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11288-6
Online ISBN: 978-3-319-11289-3
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