Reducing production variability using factorial optimisation: A case study from the food-packaging industry
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F18%3A78680" target="_blank" >RIV/60460709:41110/18:78680 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1080/23311916.2018.1455276" target="_blank" >http://dx.doi.org/10.1080/23311916.2018.1455276</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/23311916.2018.1455276" target="_blank" >10.1080/23311916.2018.1455276</a>
Alternative languages
Result language
angličtina
Original language name
Reducing production variability using factorial optimisation: A case study from the food-packaging industry
Original language description
Generally, there are phenomena and events that are not predictable because they are changing in the area of production. These random effects, and events can often significantly influence all aspects of the manufacturing process. Perfect design of any production system can be performed often on the basis of a complete and correct set of input information. Such a requirement is absolutely unrealistic, because a manufacturing system is affected by a number of random factors. Currently practice is based on respect for the worst possible conditions, in which could a production system run (the longest possible duration of outages in the supply chain, extreme weather conditions in agriculture etc.). This article aims to identify factors influencing the variability of the manufacturing process in the field of CNC machining for food production. Subsequent aim is also to minimize the variability of the manufacturing process using a factorial design. The resulting effect of reducing variability was verified usi
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
COGENT ENGINEERING
ISSN
2331-1916
e-ISSN
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Volume of the periodical
5
Issue of the periodical within the volume
1
Country of publishing house
NO - NORWAY
Number of pages
8
Pages from-to
1-8
UT code for WoS article
000430714800001
EID of the result in the Scopus database
2-s2.0-85045849990