Procurement Analytics

Data-Driven Decision-Making in Procurement and Supply Management
1. Auflage 2023
ISBN: 978-3-031-43280-4
Verlag: Springer Nature Switzerland

Buch, Englisch, Band 22, 268 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 594 g

Reihe: Springer Series in Supply Chain Management

This unique textbook explicitly addresses the intersection of advanced analytics and procurement. It is motivated by one core question: How can firms generate (economic) value from procurement data? It demonstrates that procurement is one of the major functions within a firm where data analytics, artificial intelligence, and operations research can successfully be leveraged to reduce cost and risk and to achieve resilience and sustainability goals.

The book provides a methods-based overview of data-driven optimization of purchasing decisions. Besides presenting key concepts and applications, it particularly focuses on implementation, so as to help (future) procurement managers and data scientists quickly evaluate the value generated by a given data-driven solution. What sets this textbook apart is its combination of rigorous, state-of-the-art methodologies from academic research and first-hand experience from various application-oriented consulting projects in a range ofindustries. 

Though primarily intended for graduate students with a major in procurement and supply chain management, the book will also benefit purchasing managers with and without specific knowledge of advanced analytics techniques, and data scientists with and without specific experience in procurement.

Zielgruppe

Graduate

Autoren/Hrsg.

Mandl, Christian

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management

Inhaltsverzeichnis

Introduction.- Fundamentals of Data Analytics.- Data-driven spend management- Data-driven supplier management.- Data-driven inventory management.- Data-driven risk management.- Conclusions.

Über Autor(innen)

Christian Mandl is a Professor of Digital Procurement and Supply Chain Analytics at Deggendorf Institute of Technology (Germany) and a consultant in the field of procurement analytics. His research has been published in top-ranked journals such as Manufacturing & Service Operations Management and Production and Operations Management and has been honored with various awards (e.g. the Practice-Based Research Award, by the Manufacturing and Service Operations Management Society; and the Science Prize, by the German Federal Association of Materials Management, Purchasing and Logistics.) He holds a Ph.D. in Operations Research from the Technical University of Munich (TUM, Germany) and is a visiting scholar at Cornell University (USA).