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008			231228s2023 sz | o |||| 0|eng d
020			_a9783031432811
024	7		_a10.1007/978-3-031-43281-1 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC _dES-VaUE
050		4	_aHG4521 _b2023 EB
100	1		_aMandl, Christian _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9518176
245	1	0	_aProcurement Analytics : _bData-Driven Decision-Making in Procurement and Supply Management _cby Christian Mandl
250			_a1st ed 2023
264		1	_aCham _c2023 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aSpringer Series in Supply Chain Management _x2365-6409 ; _v22
505	0		_aIntroduction -- Fundamentals of Data Analytics -- Data-driven spend management- Data-driven supplier management -- Data-driven inventory management -- Data-driven risk management -- Conclusions.
520			_aThis 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.
988			_aSpringer_Business_2023
650		7	_2embne _96217 _aInversiones
830		0	_aSpringer Series in Supply Chain Management, _x2365-6409 ; _v22
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-43281-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE _n0
998			_b01/2024 _db _ee _zSI