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Pregled bibliografske jedinice broj: 902046

Process Planning in Industry 4.0 Environment


Trstenjak, Maja; Ćosić, Predrag
Process Planning in Industry 4.0 Environment // Procedia Manufacturing 11 / S.J. Hu (ur.).
Modena, Italija: Elsevier, 2017. str. 1744-1750 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Process Planning in Industry 4.0 Environment

Autori
Trstenjak, Maja ; Ćosić, Predrag

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

Izvornik
Procedia Manufacturing 11 / S.J. Hu - : Elsevier, 2017, 1744-1750

Skup
FAIM2017 - 27th International Conference on Flexible Automation and Intelligent Manufacturing

Mjesto i datum
Modena, Italija, 27.06.2017. - 30.06.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
industry 4.0, process planning, decision support, data management, lean manufacturing, scheduling, product planning

Sažetak
Over the past few years world is facing the fourth industrial revolution. Working environment is demanded to be changed, rapidly, with hope that it will bring significant benefits in the future. Usual manufacturing processes are being automatized and connected to other activities within the company. One of the most important factors in Industry 4.0 environment is data management, big data management to be correct. It is done with use of cyber-physical systems (CPS), internet of things (IoT) and cloud computing. Human professions are obligated to adapt and change so the roles that are known are suggested to get a different structure in the future. Workers have to learn to deal with new situation and accept the term of life-learning process, constantly improving their performance. In the end, with use of both technological and human improvements, bigger productivity, product quality and income with lower product delivery (manufacturing) time and product price are expected. Apart from that, the term of mass customization has become very important and that demands very flexible manufacturing. This paper will deal with change the role of process planner who will be presented as “product planner” in the environment of Industry 4.0. Product planner is not only new profession, but is the name of software that is being connected to other parts of supply chain and uses advanced optimization algorithms to generate process plan, order of operations and scheduling automatically. The idea and structure of “product planning software” will be presented, as a completely new approach to process planning, operation sequencing and scheduling.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Predrag Ćosić (autor)

Avatar Url Maja Trstenjak (autor)


Citiraj ovu publikaciju:

Trstenjak, Maja; Ćosić, Predrag
Process Planning in Industry 4.0 Environment // Procedia Manufacturing 11 / S.J. Hu (ur.).
Modena, Italija: Elsevier, 2017. str. 1744-1750 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Trstenjak, M. & Ćosić, P. (2017) Process Planning in Industry 4.0 Environment. U: S.J. Hu (ur.)Procedia Manufacturing 11.
@article{article, author = {Trstenjak, Maja and \'{C}osi\'{c}, Predrag}, year = {2017}, pages = {1744-1750}, keywords = {industry 4.0, process planning, decision support, data management, lean manufacturing, scheduling, product planning}, title = {Process Planning in Industry 4.0 Environment}, keyword = {industry 4.0, process planning, decision support, data management, lean manufacturing, scheduling, product planning}, publisher = {Elsevier}, publisherplace = {Modena, Italija} }
@article{article, author = {Trstenjak, Maja and \'{C}osi\'{c}, Predrag}, year = {2017}, pages = {1744-1750}, keywords = {industry 4.0, process planning, decision support, data management, lean manufacturing, scheduling, product planning}, title = {Process Planning in Industry 4.0 Environment}, keyword = {industry 4.0, process planning, decision support, data management, lean manufacturing, scheduling, product planning}, publisher = {Elsevier}, publisherplace = {Modena, Italija} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)
  • Scopus





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