Naslov
APPLICATION OF THE INTEGRATIVE PROCEDURE FOR MANAGEMENT OF PRODUCTION AND SERVICE IMPROVEMENT PROCESS ON THE ASSEMBLY LINE

Autori
Gjeldum, Nikola ; Mladineo, Marko ; Crnjac, Marina ; Aljinovic, Amanda

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

Izvornik
29th DAAAM International Symposium / - , 2018, 30-40

Skup
29th DAAAM International Symposium on intelligent manufacturing and automation

Mjesto i datum
Zadar, Hrvatska, 24.10.2018. - 27.10.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
improvement process ; lean management ; multi-criteria decision-making ; assembly ; HUMANT algorithm

Sažetak
Continual improvement of production process consists of small incremental improvements combined with breakthrough improvement steps. These improvements are usually achieved through the improvement of the organization, processes and people skills using improvement concepts like Lean management. Sometimes, usually for breakthrough improvements, significant financial investments in technology are needed. On the other hand, improving of organization, processes and people skills usually do not require significant financial investments. Therefore, for industrial enterprises, it would be the most valuable to have a procedure for the management of the continual improvement process. The procedure that identifies and focuses on the most important processes or part of processes and selects the improvement action which will have the best effect on key performance indicators (KPIs) of the production process. In this research, an integrative procedure for management of production and service improvement process is experimentally tested on the real assembly line in the Laboratory at FESB, University of Split. The focus of this paper is on the innovative multicriteria decision making support system for prioritization of proposed improvement processes, based on the HUMANT algorithm. The result is that one proposed improvement process is selected as the most effective solution, according to pre-defined KPIs.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA