Procurement analytics: data-driven decision-making in procurement and supply management

By:

Mandl, Christian

Material type: Text

TextSeries: Springer Series in Supply Chain Management, Vol. 22Publication details: Springer Cham 2023Description: xiv, 268 pISBN:

9783031432804

Subject(s):

DDC classification:

658.72 MAN

Summary: 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. (https://link.springer.com/book/10.1007/978-3-031-43281-1)

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	658.72 MAN (Browse shelf(Opens below))	1	Available		007891

Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: Operations Management & Quantitative Techniques Close shelf browser (Hides shelf browser)

Previous								Next
Previous	658.72 BAI Advanced supply chain management	658.72 HAN Sourcing and supply chain management	658.72 LAR A practical guide to e-auctions for procurement:	658.72 MAN Procurement analytics: data-driven decision-making in procurement and supply management	658.72 MEN Leading procurement strategy:	658.72 PAY Managing indirect spend: enhancing profitability through strategic sourcing	658.78 KHO Supply chain risk mitigation:	Next

Table of contents:
Front Matter
Pages i-xiv
Download chapter PDF
Introduction
Christian Mandl
Pages 1-12
Fundamentals of Data Analytics
Christian Mandl
Pages 13-67
Data-Driven Spend Management
Christian Mandl
Pages 69-97
Data-Driven Supplier Management
Christian Mandl
Pages 99-185
Data-Driven Inventory Management
Christian Mandl
Pages 187-215
Data-Driven Risk Management
Christian Mandl
Pages 217-266
Conclusion
Christian Mandl
Pages 267-268
(https://link.springer.com/book/10.1007/978-3-031-43281-1)

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.

(https://link.springer.com/book/10.1007/978-3-031-43281-1)

There are no comments on this title.

to post a comment.