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Creating a Knowledge Base to Support the Concept of Lean Administration Using Expert System NEST

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Book cover Computational Collective Intelligence (ICCCI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9875))

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Abstract

Concept of lean administration is a part of a comprehensive concept of lean company. The purpose of the concept of lean administration is to identify, classify and minimize waste in administrative processes. This paper discusses the following topics: lean administration principles, basic model of lean administration and creating lean administration knowledge base using IF-THEN rules. Case study focuses on process of creating a knowledge base that will support an implementation of lean administration concept. The main tasks of the knowledge base are mainly the following: identification of level of waste in administrative processes and recommendation of appropriate methods and tools of industrial engineering to reduce waste in administrative processes.

The knowledge base for lean administration was created in an expert system NEST and testing was done on the basis of fictitious data about administrative processes.

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Acknowledgement

The work was supported by the IGS project number IGS/20/2016 called “Creating a knowledge base of expert system to support the concept of lean administration”.

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Correspondence to Radim Dolak .

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Dolak, R. (2016). Creating a Knowledge Base to Support the Concept of Lean Administration Using Expert System NEST. In: Nguyen, NT., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9875. Springer, Cham. https://doi.org/10.1007/978-3-319-45243-2_26

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  • DOI: https://doi.org/10.1007/978-3-319-45243-2_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45242-5

  • Online ISBN: 978-3-319-45243-2

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