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Data Science In Supply Chain Management: Data-Related Influences On Demand Planning, Yao Jin
Data Science In Supply Chain Management: Data-Related Influences On Demand Planning, Yao Jin
Graduate Theses and Dissertations
Data-driven decisions have become an important aspect of supply chain management. Demand planners are tasked with analyzing volumes of data that are being collected at a torrential pace from myriad sources in order to translate them into actionable business intelligence. In particular, demand volatilities and planning are vital for effective and efficient decisions. Yet, the accuracy of these metrics is dependent on the proper specification and parameterization of models and measurements. Thus, demand planners need to step away from a "black box" approach to supply chain data science. Utilizing paired weekly point-of-sale (POS) and order data collected at retail distribution …