Buch, Englisch, 442 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 846 g
Reihe: Studies in Big Data
Application of Data Envelopment Analysis
Buch, Englisch, 442 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 846 g
Reihe: Studies in Big Data
ISBN: 978-3-031-28246-1
Verlag: Springer International Publishing
The authors of this book tried to make these experiences available to those interested, considering the experience of several years of training, research, and implementation of projects in the supply chain performance evaluation field.
This book intends to identify the current performance and competitive position of that supply chain compared to other supply chains by presenting and reviewing the techniques and models for measuring the efficiency and performance of the supply chain. Determining the performance of a supply chain is a good description of the status quo (what is). Determining the performance of a supply chain is useful for describing the past and present of supply chain processes, and on the other hand, it can be used to set performance goals and initiate the improvement process. To realize this, a strategic framework or model is needed to be able to extract indicators related to the efficiency of the supply chain and design the appropriate model.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
Supply Chain Management.- Performance Evaluation of Supply Chain Management.- Main models and approaches in supply chain evaluation.- Supplier Performance Evaluation Models.- Examining supply chain crises and disruptions.- Data Envelopment Analysis.- Supplier selection.
