Methodology for searching representative elements

Murovec, Jure (author), Kušar, Janez (author), Berlec, Tomaž (author)

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

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