Development of Assembly Systems in Lean Learning Factory at the University of Split
| Autor: | Petar Ljumović, Marko Mladineo, Ivan Peko, Zeljko Stojkic, Ivica Veza, Marina Cotic, Stipo Celar, Nikola Gjeldum |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering Kaizen business.industry Process (engineering) Lifelong learning 02 engineering and technology 010501 environmental sciences 01 natural sciences Industrial and Manufacturing Engineering Manufacturing engineering Bridge (nautical) Value stream mapping 020901 industrial engineering & automation Lean Learning Factory Assembly systems Smart Enterprise Artificial Intelligence Robot Line (text file) business Curriculum 0105 earth and related environmental sciences |
| DOI: | 10.1016/j.promfg.2017.04.038 |
| Popis: | The analysis of mechanical engineering curriculums and industrial practice in Republic of Croatia has showed that assembly and assembly processes are taken for granted, without proper educational and practical learning. In order to bridge the gap between usual practice and real needs of industry, two assembly lines have been installed in Lean Learning Factory at the University of Split. First assembly line represents assembly process of a gearbox for Fiat-Zastava cars. It is a conventional, manual assembly line with implemented Lean elements and tools (5S, Heijunka, Supermarket, Value Stream Mapping, Kaizen, etc.). The second one represents assembly of ‘karet’ (traditional children vehicle in Split, Croatia). It is equipped with four intelligent assembly stations (RFID system and sensors, tablets, etc.). Additionally, a collaborative robot is planned to be implemented in this line. These assembly lines are used for education of students at the University of Split, and for Lifelong Learning of personnel from industrial practice. This paper presents a case study of two balanced assembly lines development in Lean Learning Factory at the University of Split, presenting achievements and giving directions for further research. |
| Databáze: | OpenAIRE |
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