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Methodology for searching representative elements
ID
Murovec, Jure
(
Author
),
ID
Kušar, Janez
(
Author
),
ID
Berlec, Tomaž
(
Author
)
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MD5: 7A8BF7440A45A3F751CC3B5A56A85A82
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https://www.mdpi.com/2076-3417/9/17/3482
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Abstract
Companies have to assure their share on the global market, meet customer demands and produce customer-tailored products. With time and production line updates, the layout becomes non-optimal and product diversity only increases this problem. To stay competitive, they need to increase their productivity and eliminate waste. Due to a variety of products consisting of similar components and variants thereof, a huge number of various elements are encountered in a production process, the material flow of which is hardly manageable. Although the elements differ from each other, their representative elements can be defined. This paper will illustrate a methodology for searching representative elements (MIRE), which is a combination of the known Pareto’s analysis (also known as ABC analysis or 20/80 rule) and a calculation of a loading function, that can be based on any element feature. Results of using the MIRE methodology in a case from an industrial environment have shown that the analysis can be carried out within a very short time and this provides for permanent analysis, optimisation and, consequently, permanent improvement in the material flow through a production process. The methodology is most suitable for smaller companies as it enables rapid analysis, especially in cases when there is no pre-recorded material flow.
Language:
English
Keywords:
representative elements
,
large data quantity
,
loading function
,
simulation
,
material flow optimisation
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2019
Number of pages:
15 str.
Numbering:
Vol. 9, iss. 17, art. 3482
PID:
20.500.12556/RUL-132784
UDC:
658.5(045)
ISSN on article:
2076-3417
DOI:
10.3390/app9173482
COBISS.SI-ID:
16755995
Publication date in RUL:
03.11.2021
Views:
898
Downloads:
138
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Record is a part of a journal
Title:
Applied sciences
Shortened title:
Appl. sci.
Publisher:
MDPI
ISSN:
2076-3417
COBISS.SI-ID:
522979353
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
01.09.2019
Secondary language
Language:
Slovenian
Keywords:
reprezentativni elementi
,
velika količina podatkov
,
funkcija nalaganja
,
simulacija
,
optimizacija pretoka materiala
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