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.
Keywords
reprezentativni elementi;velika količina podatkov;funkcija nalaganja;simulacija;optimizacija pretoka materiala;representative elements;large data quantity;loading function;simulation;material flow optimisation;
Data
Language: |
English |
Year of publishing: |
2019 |
Typology: |
1.01 - Original Scientific Article |
Organization: |
UL FS - Faculty of Mechanical Engineering |
UDC: |
658.5(045) |
COBISS: |
16755995
|
ISSN: |
2076-3417 |
Views: |
175 |
Downloads: |
55 |
Average score: |
0 (0 votes) |
Metadata: |
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Other data
Secondary language: |
Slovenian |
Secondary keywords: |
reprezentativni elementi;velika količina podatkov;funkcija nalaganja;simulacija;optimizacija pretoka materiala; |
Type (COBISS): |
Article |
Pages: |
f. 1-15 |
Volume: |
ǂVol. ǂ9 |
Issue: |
ǂiss. ǂ7 |
Chronology: |
2019 |
DOI: |
10.3390/app9173482 |
ID: |
13805850 |