Shooting-inspired Fuzzy Logic Expert System for Ready-mixed Concrete Plants

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00201360" target="_blank" >RIV/68407700:21110/13:00201360 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3233/IFS-120655" target="_blank" >http://dx.doi.org/10.3233/IFS-120655</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/IFS-120655" target="_blank" >10.3233/IFS-120655</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Shooting-inspired Fuzzy Logic Expert System for Ready-mixed Concrete Plants

Popis výsledku v původním jazyce

With a goal of reducing the overall production process variability of Ready-mixed concrete (RMC) and decrease production costs, a fuzzy logic-based expert system was developed. Inspired on shooting sports, the system guides the plant chief technician byrecommending the actions to be taken to reduce variability. Such guidance is based on the evaluation of the compressive strength and coefficient of variation results from the samples molded by those responsible for testing concrete. The system was testedin a RMC plant with monthly production of about 3300 m3. The results indicate that no major interventions are necessary for the investigated plant; however, training is likely recommended for some of the staff so as to attain a lower overall variability. These conclusions are in agreement with the technician?s interpretation, proving that the system is satisfactory to be applied in the process. Additionally, a cost analysis was performed, and the results show that a potential reduction

Název v anglickém jazyce

Shooting-inspired Fuzzy Logic Expert System for Ready-mixed Concrete Plants

Popis výsledku anglicky

With a goal of reducing the overall production process variability of Ready-mixed concrete (RMC) and decrease production costs, a fuzzy logic-based expert system was developed. Inspired on shooting sports, the system guides the plant chief technician byrecommending the actions to be taken to reduce variability. Such guidance is based on the evaluation of the compressive strength and coefficient of variation results from the samples molded by those responsible for testing concrete. The system was testedin a RMC plant with monthly production of about 3300 m3. The results indicate that no major interventions are necessary for the investigated plant; however, training is likely recommended for some of the staff so as to attain a lower overall variability. These conclusions are in agreement with the technician?s interpretation, proving that the system is satisfactory to be applied in the process. Additionally, a cost analysis was performed, and the results show that a potential reduction

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JN - Stavebnictví

OECD FORD obor

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Projekt

<a href="/cs/project/GAP105%2F10%2F2098" target="_blank" >GAP105/10/2098: Alternativní popis účinků únavy na betonové konstrukce</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Journal of Intelligent and Fuzzy Systems

ISSN

1064-1246

e-ISSN

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Svazek periodika

25

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

11

Strana od-do

481-491

Kód UT WoS článku

000319616400022

EID výsledku v databázi Scopus

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