Creating a knowledge base to support the concept of lean manufacturing using expert system NEST

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F14%3A%230002649" target="_blank" >RIV/47813059:19520/14:#0002649 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Creating a knowledge base to support the concept of lean manufacturing using expert system NEST
Original language description
We are currently living in the global market, which is characterized by hyper-competition all over world. This situation is the main reason why it is important to implement some of effective modern methods of management. We assume that using the principles of lean manufacturing is one form of gaining a competitive advantage. This article deals with lean manufacturing principles and its model. We will describe basic principles, metrics and rules for creating lean manufactur-ing knowledge base. The case study deals with creating of knowledge base for supporting implementing the concept of lean manufacturing. Knowledge base will be used for identification wasting in each level of production areas and then will be recommended appropriate methods and toolsof industrial engineering to re-duce this wasting. Knowledge base will be edited in expert system NEST, which is an empty expert system for diagnostic applications based on rules.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Computational Collective Intelligence -- Technologies and Applications
ISBN
978-3-319-11289-3
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
243-251
Publisher name
Springer Cham Heidelberg NewYork Dordrecht London
Place of publication
Switzerland
Event location
Seoul, Korea
Event date
Sep 24, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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