02480nam 2200493 450 991055938360332120221116180201.09783030922245(electronic bk.)3030922243(electronic bk.)9783030922238303092223510.1007/978-3-030-92224-5(OCoLC)1310076285(OCoLC)on1310076285on1310076285(MiAaPQ)EBC6949935(PPN)262172569(EXLCZ)992147942460004120221116d2022 uy 0engur|n|||||||||txtrdacontentcrdamediacrrdacarrierSupply chain analytics concepts, techniques and applications /Kurt Y. LiuCham, Switzerland :Palgrave Macmillan,[2022]©20221 online resource illustrations (chiefly color)Includes bibliographical references and index.This 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.Business logisticsData processingBusiness logisticsManagementBusiness logisticsBusiness logisticsData processing.Business logisticsManagement.Business logistics.658.70285Liu Kurt Y.1221597MiAaPQMiAaPQMiAaPQ9910559383603321Supply chain analytics2832765UNINA