Supply Chain Analytics : An Uncertainty Modeling Approach

by Işık Biçer

1. Introduction and Risk Analysis in Supply Chains -- 2. Theoretical Foundations: Predictive and Prescriptive Modeling -- 3. Inventory Management under Demand Uncertainty -- 4. Uncertainty Modeling -- 5. Supply Chain Responsiveness -- 6. Managing Product Variety -- 7. Managing the Supply Risk -- 8. Supply Chain Finance -- 9. Future Trends: AI and beyond -- Appendix: Introduction to Python Programming for Supply Chain Analytics -- Bibliography. .

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Year of publication:	2023
Authors:	Biçer, Işık
Publisher:	2023.: Cham : Springer Nature Switzerland 2023.: Cham : Imprint: Springer
Subject:	Supply Chain Management \| Business Analytics \| Inventory Management \| Supply Chain Risk Management \| Supply Chain Finance \| Uncertainty Modeling \| Product Variety \| Supply Chain Risks \| Data Analytics \| Financial Risks in Supply Chain \| Python \| Lieferkette \| Supply chain \| Risikomanagement \| Risk management \| Risiko \| Risk

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Extent:	1 Online-Ressource (XIV, 314 p. 101 illus., 85 illus. in color.)
Series:	Springer Texts in Business and Economics
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-3-031-30347-0 ; 978-3-031-30346-3 ; 978-3-031-30348-7 ; 978-3-031-30349-4
Other identifiers:	10.1007/978-3-031-30347-0 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014306638