prikaz prve stranice dokumenta Model izračuna čimbenika spremnosti za industriju 4.0 usmjerenoga na projektiranje tehnoloških procesa
  Download
PDF 6.91 MB
doctoral thesis
Model izračuna čimbenika spremnosti za industriju 4.0 usmjerenoga na projektiranje tehnoloških procesa
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2021. urn:nbn:hr:235:330072
Trstenjak, Maja
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

Cite this document

Trstenjak, M. (2021). Model izračuna čimbenika spremnosti za industriju 4.0 usmjerenoga na projektiranje tehnoloških procesa (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:330072

Trstenjak, Maja. "Model izračuna čimbenika spremnosti za industriju 4.0 usmjerenoga na projektiranje tehnoloških procesa." Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:235:330072

Trstenjak, Maja. "Model izračuna čimbenika spremnosti za industriju 4.0 usmjerenoga na projektiranje tehnoloških procesa." Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:235:330072

Trstenjak, M. (2021). 'Model izračuna čimbenika spremnosti za industriju 4.0 usmjerenoga na projektiranje tehnoloških procesa', Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:235:330072

Trstenjak M. Model izračuna čimbenika spremnosti za industriju 4.0 usmjerenoga na projektiranje tehnoloških procesa [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2021 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:235:330072

M. Trstenjak, "Model izračuna čimbenika spremnosti za industriju 4.0 usmjerenoga na projektiranje tehnoloških procesa", Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:235:330072

Metadata
TitleModel izračuna čimbenika spremnosti za industriju 4.0 usmjerenoga na projektiranje tehnoloških procesa
Title (english)A model for calculating the process planning oriented industry 4.0 readiness factor
AuthorMaja Trstenjak
MentorTihomir Opetuk (mentor)
Committee memberHrvoje Cajner (predsjednik povjerenstva)
Committee memberMiro Hegedić (član povjerenstva)
Committee memberGoran Šimunović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2021-03-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Universal decimal classification
(UDC)		658 - Business management, administration. Commercial organization
Abstract
Koncept Industrije 4.0 čine integrirani alati kako bi se stvorila fleksibilna proizvodnja s visokim stupnjem autonomnosti. Digitalizacija, kao dio koncepta Industrije 4.0 je ključan dio prilagodbe trendovima na tržištu za održanje konkurentnosti tvrtki. To je viša razina informatičkih znanja i investicija, na koje male i srednje tvrtke često nisu spremne dok s druge strane njihovi veći konkurenti započinju s implementacijom koncepta te tako povećavaju prednost na tržištu. U okviru ove disertacije poseban naglasak je stavljen na projektiranje tehnoloških procesa, za koji je razvijen izračuna čimbenika spremnosti (eng. readiness factor) za prihvaćanje koncepta Industrije 4.0 pomoću metoda višekriterijskog odlučivanja i optimiranja. Budući da se radi o evaluaciji trenutnog stanja na temelju različitih kriterija, sustavi za potporu odlučivanju prepoznati su kao jedan od alata. Izračun čimbenika spremnosti tvrtki pomaže u definiciji optimalnog strateškog plana ka prihvaćanju koncepta Industrije 4.0, što je od neizmjerne važnosti zbog izazova koji nosi implementacija koncepta. Model za izračun čimbenika spremnosti proveden je pomoću metode analitičkog hijerarhijskog procesa, verificiran je analizom osjetljivosti, potvrđen simulacijom i primijenjen na studiji slučaja u tvrtki iz ciljane grupe.
Abstract (english)
Industry 4.0 concept is based on integrated tools in order to create flexible and highly autonomous manufacturing. Digitization, as part of the Industry 4.0 concept, is a key part of adapting to market trends to maintain competitiveness. This is a higher level of IT knowledge and investment, to which small and medium-sized companies are often not ready for, while, on the other hand, their larger competitors have already started implementing the concept and thus increase their market advantage. In this dissertation, special emphasis will be placed on the design of technological processes, for which a Industry 4.0 readiness factor calculation model using multicriteria decision-making and optimization methods will be developed. Nature of this problem is evaluation of the current situation based on different criteria, so decision support systems have been identified as one of the tools. The calculation of the company's readiness factor helps to define an optimal strategic plan towards the acceptance of the Industry 4.0 concept, which is of immense importance due to the challenges posed by the implementation of the concept. The model for readiness factor calculation was developed by use of analytic hierarchical process method, verified by sensitivity analysis, confirmed by simulation and applied in a case study.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:330072
Study programmeTitle: Mechanical Engineering and Naval Architecture
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti (doktor/doktorica znanosti, područje tehničkih znanosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-05-21 07:34:46