<?xml version="1.0"?>
<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Methodology for searching representative elements</dc:title><dc:creator>Murovec,	Jure	(Avtor)
	</dc:creator><dc:creator>Kušar,	Janez	(Avtor)
	</dc:creator><dc:creator>Berlec,	Tomaž	(Avtor)
	</dc:creator><dc:subject>representative elements</dc:subject><dc:subject>large data quantity</dc:subject><dc:subject>loading function</dc:subject><dc:subject>simulation</dc:subject><dc:subject>material flow optimisation</dc:subject><dc:description>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.</dc:description><dc:date>2019</dc:date><dc:date>2021-11-03 10:29:10</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>132784</dc:identifier><dc:identifier>UDK: 658.5(045)</dc:identifier><dc:identifier>ISSN pri članku: 2076-3417</dc:identifier><dc:identifier>DOI: 10.3390/app9173482</dc:identifier><dc:identifier>COBISS_ID: 16755995</dc:identifier><dc:language>sl</dc:language></metadata>
