000			01623nam a22001937a 4500
005			20231012154533.0
008			231012b |||||||| |||| 00| 0 eng d
020			_a9783030922238
082			_a658.70285 _bLIU
100			_aLiu, Kurt Y. _913490
245			_aSupply chain analytics: _bconcepts, techniques and applications
260			_bPalgrave Macmillan _aSwitzerland _c2022
300			_axix, 377 p.
365			_aEuro _b79.99
520			_aThis innovative new core textbook, written by an experienced professor and practitioner in supply chain management, offers a business-focused overview of the applications of data analytics and machine learning to supply chain management. Accessible yet rigorous, this text introduces students to the relevant concepts and techniques needed for data analysis and decision making in modern supply chains and enables them to develop proficiency in a popular and powerful programming software. Suitable for use on upper-level undergraduate, postgraduate and MBA courses in supply chain management, it covers all of the major supply chain processes, including managing supply and demand, warehousing and inventory control, transportation and route optimization. Each chapter comes with practical real-world examples drawn from a range of business contexts, including Amazon and Starbucks, case study discussion questions, computer-assisted exercises and programming projects. (https://link.springer.com/book/10.1007/978-3-030-92224-5#about-this-book)
650			_aBusiness logistics--Data processing _913808
650			_aBusiness logistics--Management _913809
942			_cBK _2ddc
999			_c5632 _d5632