Doktorarbeit: Beurteilung der Industrie 4.0-Readiness von Supply Chain Netzwerken

Beurteilung der Industrie 4.0-Readiness von Supply Chain Netzwerken

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Logistik-Management in Forschung und Praxis, volume 64

Hamburg , 294 pages

ISBN 978-3-339-10004-7 (print) |ISBN 978-3-339-10005-4 (eBook)

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In view of the rising challenges posed to companies by growing international competition, increasingly individual customer requirements and shorter product lifecycles, coordinated and collaborative cooperation in supply chain networks is gaining in importance. In this complex and changing environment, flexibility becomes a key competence of supply chain networks. In this context, the development of the increasing digitization and networking of production systems discussed under the catchword "Industry 4.0" offers new possibilities for inter-company cooperation and thus for creating the flexibility required to survive in competition as a supply chain network.

The basic technologies of Industry 4.0 are information and communication technologies such as the Internet of Things and Services, which leads to autonomous processes, networked devices and machines as well as central data availability in the cloud. To evaluate the maturity of supply chain networks using industry 4.0 technologies to create network-wide flexibility, a practical and application-oriented instrument for assessing the Industry 4.0-Readiness of supply chain networks is developed in this thesis. To this end, the Industry 4.0-Readiness-Compass is presented as a qualitative instrument for assessing Industry 4.0-Readiness. The subsequent quantitative instrument is based on the standardized framework of the Supply Chain Operations Reference (SCOR) model and uses the integrated SCOR key figure system to operationalize the Industry 4.0-Readiness. An integrated AHP-PROMETHEE approach, the weights of which are generated by expert surveys, is used to determine the significance of the identified key figures for the Industry 4.0-Readiness. The implementation of benchmarks enables the assessment of the Industry 4.0-Readiness of a specific supply chain network and the identification of improvement potentials. The application of the two-part instrument is illustrated using a case study from the automotive industry.

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