Validation of the intelligent and integrated Product Lifecycle Management ('i²PLM') based on data from smart factories and smart products
- Product engineering and subsequent phases of product lifecycles are predominantly managed in isolation. Companies therefore do not fully exploit potentials through using data from smart factories and product usage. The novel intelligent and integrated Product Lifecycle Management (i²PLM) describes an approach that uses these data for product engineering. This paper describes the i²PLM, shows the cause-and-effect relationships in this context and presents in detail the validation of the approach. The i²PLM is applied and validated on a smart product in an industrial research environment. Here, the subsequent generation of a smart lunchbox is developed based on production and sensor data. The results of the validation give indications for further improvements of the i²PLM. This paper describes how to integrate the i²PLM into a learning factory.
| Author of HS Reutlingen | Hummel, Vera; Schnabel, Benedikt |
|---|---|
| URN: | urn:nbn:de:bsz:rt2-opus4-46469 |
| DOI: | https://doi.org/10.2139/ssrn.4472239 |
| ISSN: | 1556-5068 |
| Erschienen in: | Proceedings of the 13th Conference on Learning Factories (CLF 2023), 9-11 May 2023, Reutlingen University, Germany |
| Publisher: | Elsevier |
| Place of publication: | Rochester, NY |
| Document Type: | Conference proceeding |
| Language: | English |
| Publication year: | 2023 |
| Tag: | CPS; i2 PLM; learning factory; lifecycle engineering; mass customization; product engineering process; product lifecycle management; smart customizable product families |
| Page Number: | 6 |
| First Page: | 1 |
| Last Page: | 6 |
| DDC classes: | 004 Informatik |
| Open access?: | Ja |
| Licence (German): |  Open Access |
