| Title | Adoption of digital twin for sustainable manufacturing and achievements of production strategic-planned goals |
|---|---|
| ID_Doc | 70295 |
| Authors | Jawad, MS; Chandran, P; Bin Ramli, AA; Bin Mahdin, H; Bin Abdullah, Z; Rejab, MBM |
| Title | Adoption of digital twin for sustainable manufacturing and achievements of production strategic-planned goals |
| Year | 2022 |
| Published | |
| Abstract | To achieve the maximum return-of-investment for the adoption of Digital-Twin in manufacturing, organizations should be totally aware about the challenges that limit the widely adoption as well as opportunities that may create real-added values to their businesses at operational and strategic management. In this context, determining the most influential factors for successful adoption must be clear even at the early stages of planning towards high effective digital-transformation journey for business's sustainability. The beneficial achievements and outcome towards such successful planning and adoption of the industrial digital-twin are significant in terms of optimized processes, reduced costs and downtown of the operations, flexibility in product design and processes' adaptation to satisfy future markets demands The main purpose of this paper is to propose adoption modelling of digital-twin for optimized products and production processes. The methodology of the proposed modelling can be considered unique in the following aspects of: Determining the expected added-values of adopting digital-twin to the manufacturing business according to certain business's operational criticality, budget and size. Allowing processes' optimization at three levels of plant (factory) physical layout, Machines' operational fault tolerance and final products' design and quality. Allowing strategic-planning achievement for sustainable Production-Product and future demands. (c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) |
| https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9677070 |
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