Track and Trace with digital Products
dc.contributor.author | Sivasubramaniam, Arcsuta | |
dc.contributor.mentor | Hinkelmann, Knut | |
dc.date.accessioned | 2024-12-03T19:15:49Z | |
dc.date.available | 2024-12-03T19:15:49Z | |
dc.date.issued | 2024 | |
dc.description.abstract | The study analyzes State Machine Diagrams, Event Condition Action (ECA) rules, and the Case Management Model and Notation (CMMN) to explore the complexities of systems with digital products. A Swiss company has been used to provide practical insights into real-world applications. While digital products rely on automation and event-based methods, physical products require transaction-based events and human intervention. | |
dc.identifier.uri | https://irf.fhnw.ch/handle/11654/48829 | |
dc.language.iso | en | |
dc.publisher | Hochschule für Wirtschaft FHNW | |
dc.spatial | Olten | |
dc.subject.ddc | 330 - Wirtschaft | |
dc.title | Track and Trace with digital Products | |
dc.type | 11 - Studentische Arbeit | |
dspace.entity.type | Publication | |
fhnw.InventedHere | Yes | |
fhnw.StudentsWorkType | Master | |
fhnw.affiliation.hochschule | Hochschule für Wirtschaft FHNW | de_CH |
fhnw.affiliation.institut | Master of Science | |
relation.isMentorOfPublication | 6898bec4-c71c-491e-b5f8-2b1cba9cfa00 | |
relation.isMentorOfPublication.latestForDiscovery | 6898bec4-c71c-491e-b5f8-2b1cba9cfa00 |