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

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Computational Collective Intelligence -- Technologies and Applications

ISBN

978-3-319-11289-3

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

243-251

Název nakladatele

Springer Cham Heidelberg NewYork Dordrecht London

Místo vydání

Switzerland

Místo konání akce

Seoul, Korea

Datum konání akce

24. 9. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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