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008			230627s2023 sz | s |||| 0|eng d
020			_a9783031303470
024	7		_a10.1007/978-3-031-30347-0 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC
050	0	4	_aHD38.5 _b2024
100	1		_aBiçer, Işık. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	0	0	_aSupply Chain Analytics: _bAn Uncertainty Modeling Approach _cby Işık Biçer
250			_a1st ed 2023
264		1	_aCham _c2023 _bSpringer International Publishing
300	0	0	_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aSpringer Texts in Business and Economics, _x2192-4341
505	0		_a1. 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. .
520			_aThis textbook offers a detailed account of analytical models used to solve complex supply chain problems. It introduces a unique risk analysis framework that helps the reader understand the sources of uncertainties and use appropriate models to improve decisions in supply chains. This framework illustrates the complete supply chain for a product and demonstrates the supply chain's exposure to demand, supply, inventory, and financial risks. Step by step, this book provides a detailed examination of analytical methods that optimize operational decisions under different types of uncertainty. It discusses stochastic inventory models, introduces uncertainty modeling methods, and explains methods for managing uncertainty. To help readers deepen their understanding, it includes access to various supplementary material including an online interactive tool in Python. This book is intended for undergraduate and graduate students of supply chain management with a focus on supply chain analytics. It also prepares practitioners to make better decisions in this field.
830		0	_aSpringer Texts in Business and Economics, _x2192-4341
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-30347-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
912			_aZDB-2-BUM
912			_aZDB-2-SXBM
942			_2lcc _cLE
988			_aSpringer_Business_2023
999			_c238587 _d238587