Assessment of the possibility of using Bayesian nets and Petri nets in the process of selecting additive manufacturing technology in a manufacturing company

• Autorzy: Topczak Marcin , Śliwa Małgorzata

Identyfikatory

DOI

10.23743/acs-2021-01

• Języki publikacji: EN

Abstrakty

EN

The changes caused by Industry 4.0 determine the decisions taken by manufacturing companies. Their activities are aimed at adapting processes and products to dynamic market requirements. Additive manufacturing technologies (AM) are the answer to the needs of enterprises. The implementation of AM technology brings many benefits, although for most 3D printing techniques it is also relatively expensive. Therefore, the implementation process should be preceded by an appropriate analysis, in order, finally, to assess the solution. This article presents the concept of using the Bayesian network when planning the implementation of AM technology. The use of the presented model allows the level of the success of the implementation of selected AM technology, to be estimated under given environmental conditions.

Słowa kluczowe

EN

additive manufacturing; Bayesian network; Petri nets; process modelling

PL

produkcja dodatkowa; sieć bayesowska; Sieci Petriego; modelowanie procesów

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2021
• Tom: Vol. 17, no 1
• Strony: 5--16
• Opis fizyczny: Bibliogr. 34, fig., tab.

Twórcy

autor

Topczak Marcin

• Institute of Mechanical Engineering, University of Zielona Góra

• https://orcid.org/0000-0003-2277-144X

autor

Śliwa Małgorzata

• Institute of Mechanical Engineering, University of Zielona Góra

• https://orcid.org/0000-0001-6453-5758

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).