| Title | Adapting Digital Twin Frameworks Toward Lean Manufacturing For The Circular Economy |
|---|---|
| ID_Doc | 28171 |
| Authors | Ferrero, V; Alqseer, N; Reslan, M; Morris, KC |
| Title | Adapting Digital Twin Frameworks Toward Lean Manufacturing For The Circular Economy |
| Year | 2023 |
| Published | |
| Abstract | Lean manufacturing is based on data collection and analysis that is used toward reducing waste and enabling continuous improvement. However, little research has been done bridging emerging topics of a Circular Economy and Digital Twins to lean manufacturing systems. A lean enabled manufacturing digital twin can provide more efficient interactions between these stakeholders and lean activities. Building on previous literature and the ISO 23247 standard-the Digital Twin Framework for Manufacturing- this paper identifies functional requirements for the adaptation of lean manufacturing to a digital twin model. The requirements are defined in terms of a multiple layers of the system: physical space, cyber-physical storage, primary processing, models and algorithms, analysis, feedback, and interfaces. To correlate a lean digital twin framework to the current standard effort, we identify the digitized-lean requirements that can be applied to standards in reference to ISO 23247. In practice, the digitalization of lean manufacturing can improve top-down management recognition, aid decision making, increase cost efficiency, sustain continuous improvement, enhance worker engagement, and support communication with stakeholders. Furthermore, the lean-adapted digital twin framework introduced and subsequent requirements can help interface lean to smart manufacturing systems, and apply standard lean principles to sustainability initiatives such as the Circular Economy. |
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