Reducing production variability using factorial optimisation: A case study from the food-packaging industry

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Reducing production variability using factorial optimisation: A case study from the food-packaging industry

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Reducing production variability using factorial optimisation: A case study from the food-packaging industry

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

COGENT ENGINEERING

ISSN

2331-1916

e-ISSN

—

Svazek periodika

5

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NO - Norské království

Počet stran výsledku

8

Strana od-do

1-8

Kód UT WoS článku

000430714800001

EID výsledku v databázi Scopus

2-s2.0-85045849990