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2023 | OriginalPaper | Chapter

4. Data-Driven Supplier Management

Author : Christian Mandl

Published in: Procurement Analytics

Publisher: Springer Nature Switzerland

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Abstract

This chapter presents analytical models and use cases for data-driven decision-making in buyer-supplier relationships. It covers standard sourcing strategies (e.g., make or buy), digital tender management, auction theory, bid analytics, game theory in supplier negotiations and multi-criteria supplier selection and evaluation techniques. It furthermore addresses analytical methods for supply network optimization under cost, sustainability, risk and resilience aspects and data-driven planning approaches for supply contracting and supply chain coordination.

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previous chapter Data-Driven Spend Management

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Volatility, Uncertainty, Complexity, Ambiguity.

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Title: Data-Driven Supplier Management
Author: Christian Mandl
Publisher: Springer Nature Switzerland
Book: Procurement Analytics
Print ISBN: 978-3-031-43280-4

Electronic ISBN: 978-3-031-43281-1

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-3-031-43281-1_4