Naslov
Industry 4.0-based improvement of the Lean game by using the innovative decision support system

Autori
Gjeldum, Nikola ; Mladineo, Marko ; Crnjac, Marina ; Aljinovic, Amanda ; Stojkic, Zeljko ; Bosnjak, Igor

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the Fifth European Lean Conference (ELEC 2018) "Lean Educator's Role in Lean Development" / - , 2018, 161-170

Skup
ELEC 2018

Mjesto i datum
Braga, Portugal, 14.11.2018. - 15.11.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
decision support system, improvement process, lean games, data gathering system, Industry 4.0-based equipment development, Learning Factory

Sažetak
The Lean Learning Factory is used for thee ducation of industry employees and students in the environment similar to the real factory shop floor. The education process has to be adapted to the increasing variability and changeability due to demands for personalized products in practice. By applying a concept of integrative procedure for management of production and service improvement process on the didactic lean game, it is decided which concept will be developed that will assist trainers during a simulation run. The simulation manual data gathering process and the simulation run results presentation require a large effort of the educator. This disadvantage is even more emphasized if slightly different or personalized products is to be assembled in one moment during the simulation run. The main aim of this research is the application of the developed decision support system within a defined procedure for the selection of the optimal improvement variant. It is based on the multi- criteria decision-making with the help of the HUMANT algorithm and Web application user- friendly interface for defining decision-makers preferences. The system is presented and tested. The decision has been presented. It is decided to use an application of Industry 4.0 concept related equipment, RFID readers and tags for real-time data gathering and automated analyzing and preparation of the gathered data for presentation.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA