| Title | Digital Twins in Product Lifecycle for Sustainability in Manufacturing and Maintenance |
|---|---|
| ID_Doc | 73551 |
| Authors | Rojek, I; Mikolajewski, D; Dostatni, E |
| Title | Digital Twins in Product Lifecycle for Sustainability in Manufacturing and Maintenance |
| Year | 2021 |
| Published | Applied Sciences-Basel, 11, 1 |
| Abstract | A "digital twin" is a dynamic, digital replica of a technical object (e.g., a physical system, device, machine or production process) or a living organism. Using this type of solution has become an integral part of Industry 4.0, offering businesses tangible benefits, in addition to being particularly effective within the context of sustainable production and maintenance. The purpose of this paper is to present the results of research on the development of digital twins of technical objects, which involved data acquisition and their conversion into knowledge, the use of physical models to simulate tasks and processes, and the use of simulation models to improve the physical tasks and processes. In addition, monitoring processes and process parameters allow for the continued improvement of existing processes as regards intelligent eco-designing and planning and monitoring production processes while taking into account sustainable production and maintenance. |
| https://www.mdpi.com/2076-3417/11/1/31/pdf?version=1608887799 |
Similar Articles
| ID | Score | Article |
|---|---|---|
67091
|
Martínez-Olvera, C Towards the Development of a Digital Twin for a Sustainable Mass Customization 4.0 Environment: A Literature Review of Relevant Concepts(2022)Automation, 3, 1 | |
| 70295
|
Jawad, MS; Chandran, P; Bin Ramli, AA; Bin Mahdin, H; Bin Abdullah, Z; Rejab, MBM Adoption of digital twin for sustainable manufacturing and achievements of production strategic-planned goals(2022) | |
| 28171
|
Ferrero, V; Alqseer, N; Reslan, M; Morris, KC Adapting Digital Twin Frameworks Toward Lean Manufacturing For The Circular Economy(2023) | |
| 14684
|
Popescu, D; Dragomir, M; Popescu, S; Dragomir, D Building Better Digital Twins for Production Systems by Incorporating Environmental Related Functions-Literature Analysis and Determining Alternatives(2022)Applied Sciences-Basel, 12, 17 | |
| 62775
|
Li, LH; Mao, CL; Sun, HX; Yuan, YP; Lei, BB Digital Twin Driven Green Performance Evaluation Methodology of Intelligent Manufacturing: Hybrid Model Based on Fuzzy Rough-Sets AHP, Multistage Weight Synthesis, and PROMETHEE II(2020) | |
| 22597
|
Tota, R; Facchini, F; Iavagnilio, RP; Mossa, G; Sassanelli, C Digital twin supporting environmental performance evaluation according to ISO certification: an application case in the tire industry(2024)Production And Manufacturing Research-An Open Access Journal, 12.0, 1 | |
| 44486
|
Botín-Sanabria, DM; Mihaita, AS; Peimbert-García, RE; Ramírez-Moreno, MA; Ramírez-Mendoza, RA; Lozoya-Santos, JD Digital Twin Technology Challenges and Applications: A Comprehensive Review(2022)Remote Sensing, 14, 6 |