Integrated analysis of chilling processes in food industry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F08%3APU76828" target="_blank" >RIV/00216305:26510/08:PU76828 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Integrated analysis of chilling processes in food industry

Popis výsledku v původním jazyce

Food related processes are usually difficult to measure as e.g. meat parameters varies significantly. However, cost analysis of such processes is very important because of market competitiveness. A classical quantitative (analytical and/or statistical) analysis is therefore not appropriate for some ill defined and/or very complex food engineering problems. The paper presents a model based on the following parameters: .. Type of Chilling equipment .. Temperature of air in chamber/tunnel .. Air velocity in chamber/tunnel .. Time in chamber/tunnel .. Chilling temperature .. Chilling air velocity .. Time of chilling .. Meat sort .. Mean weight side .. Quality grade .. Weight loss A fuzzy model will utilize data which are to a certain level inconsistent. Tominimize an information loss of valuable knowledge, conventional pre-processing (usually statistical analysis) of this knowledge is eliminated.

Název v anglickém jazyce

Integrated analysis of chilling processes in food industry

Popis výsledku anglicky

Food related processes are usually difficult to measure as e.g. meat parameters varies significantly. However, cost analysis of such processes is very important because of market competitiveness. A classical quantitative (analytical and/or statistical) analysis is therefore not appropriate for some ill defined and/or very complex food engineering problems. The paper presents a model based on the following parameters: .. Type of Chilling equipment .. Temperature of air in chamber/tunnel .. Air velocity in chamber/tunnel .. Time in chamber/tunnel .. Chilling temperature .. Chilling air velocity .. Time of chilling .. Meat sort .. Mean weight side .. Quality grade .. Weight loss A fuzzy model will utilize data which are to a certain level inconsistent. Tominimize an information loss of valuable knowledge, conventional pre-processing (usually statistical analysis) of this knowledge is eliminated.

Druh

D - Stať ve sborníku

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2008

Kód důvěrnosti údajů

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

Název statě ve sborníku

CHISA 2008

ISBN

978-80-02-02052-3

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

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Název nakladatele

Process Engineering Publisher

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

24. 8. 2008

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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