Assessing the predictive maintenance readiness of enterprises in West Bohemian region

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F20%3A43958488" target="_blank" >RIV/49777513:23210/20:43958488 - isvavai.cz</a>

Výsledek na webu

<a href="https://reader.elsevier.com/reader/sd/pii/S2351978920306636?token=C909BB89873C9AC0BD2005136C7AFC27C0B4A92A5AA480637AF34D89F633BEE55C08C4D31E310493DED78757281953BB" target="_blank" >https://reader.elsevier.com/reader/sd/pii/S2351978920306636?token=C909BB89873C9AC0BD2005136C7AFC27C0B4A92A5AA480637AF34D89F633BEE55C08C4D31E310493DED78757281953BB</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.promfg.2020.02.098" target="_blank" >10.1016/j.promfg.2020.02.098</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Assessing the predictive maintenance readiness of enterprises in West Bohemian region

Popis výsledku v původním jazyce

The approach to machinery maintenance has changed during the four industrial revolutions; from reactive control towards fault prediction. The aim of this article is to monitor the preparedness for predictive maintenance implementation into companies with upcoming 4th Industrial Revolution in several (manufacturing and non-manufacturing enterprise) companies cooperating with University of West Bohemia in the region. Based on our previously published metamodels of machinery maintenance we can say that there is a growing trend between the development of maintenance and technologies used. The more sophisticated machinery maintenance, the more sophisticated technologies and skilled personnel is needed for its operation. The most evolved type of Machinery Maintenance is called Predictive maintenance or Maintenance using elements of Industry 4.0. This article deals with pilot study of predictive maintenance implementation in west-bohemian region. During April 2019, a questionnaire about the utilization rate of Industry 4.0 elements was sent to representatives of companies in region of West Bohemia, Czech Republic. Responses were received from thirteen companies, mostly from technical, division and executive directors. For the purposes of this questionnaire, only the answers of medium and larger enterprises with 140 or more employees engaged in production or research were interpreted. The final part deals with interpretation of results and their consequences for the future.

Název v anglickém jazyce

Assessing the predictive maintenance readiness of enterprises in West Bohemian region

Popis výsledku anglicky

The approach to machinery maintenance has changed during the four industrial revolutions; from reactive control towards fault prediction. The aim of this article is to monitor the preparedness for predictive maintenance implementation into companies with upcoming 4th Industrial Revolution in several (manufacturing and non-manufacturing enterprise) companies cooperating with University of West Bohemia in the region. Based on our previously published metamodels of machinery maintenance we can say that there is a growing trend between the development of maintenance and technologies used. The more sophisticated machinery maintenance, the more sophisticated technologies and skilled personnel is needed for its operation. The most evolved type of Machinery Maintenance is called Predictive maintenance or Maintenance using elements of Industry 4.0. This article deals with pilot study of predictive maintenance implementation in west-bohemian region. During April 2019, a questionnaire about the utilization rate of Industry 4.0 elements was sent to representatives of companies in region of West Bohemia, Czech Republic. Responses were received from thirteen companies, mostly from technical, division and executive directors. For the purposes of this questionnaire, only the answers of medium and larger enterprises with 140 or more employees engaged in production or research were interpreted. The final part deals with interpretation of results and their consequences for the future.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20301 - Mechanical engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

Procedia Manufacturing

ISBN

—

ISSN

2351-9789

e-ISSN

2351-9789

Počet stran výsledku

7

Strana od-do

422-428

Název nakladatele

Elsevier BV

Místo vydání

Netherlands

Místo konání akce

RENDE, COSENZA, ITALY

Datum konání akce

20. 11. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—