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Procurement Analytics

Data-Driven Decision-Making in Procurement and Supply Management

Christian Mandl
Livre relié | Anglais | Springer Supply Chain Management | n° 22
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Description

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 of industries.

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.


Spécifications

Parties prenantes

Auteur(s) :
Editeur:

Contenu

Nombre de pages :
268
Langue:
Anglais
Collection :
Tome:
n° 22

Caractéristiques

EAN:
9783031432804
Date de parution :
29-12-23
Format:
Livre relié
Format numérique:
Genaaid
Dimensions :
156 mm x 234 mm
Poids :
576 g

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