Integrated analysis of chilling processes in food industry
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Integrated analysis of chilling processes in food industry
Original language description
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.
Czech name
Integrated analysis of chilling processes in food industry
Czech description
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.
Classification
Type
D - Article in proceedings
CEP classification
AH - Economics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CHISA 2008
ISBN
978-80-02-02052-3
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
Process Engineering Publisher
Place of publication
Praha
Event location
Praha
Event date
Aug 24, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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