Big Data + Supply Chain Management: Examining Next Generation SCM Technologies
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My main thesis question is the following: “what are the ways in which Big Data technologies might impact Supply Chain Management?” I will also seek to address a secondary, more broad question if possible: “what are the societal implications of the increased use of Big Data technologies?” Chapter 1 will introduce Supply Chain Management (SCM), Big Data, and their junction. It will then provide operational definitions for both “Supply Chain Management” and “Big Data” by placing the subject areas in their respective historical and economic contexts. I will then attempt to answer my thesis question by focusing on two core subject areas. Chapter 3 will cover Block Chain integration, a bleeding edge and very trendy topic. It will provide a history and overview of the technology, and will suggest several potential SCM use cases. Chapter 4 will focus on a core SCM process that is ripe for Big Data disruption, Sales and Operations Planning (S&OP). I will provide a overview of the subject area, and will seek to enumerate the ways in which improved forecasting and planning technologies may prove disruptive. Finally, Chapter 5 will consider some of the societal implications of the increased adoption of Big Data technologies across industries. My primary advisor, Professor Genaro Gutierrez, teaches Supply Chain Analytics at the undergraduate and graduate level, while my second reader, Professor Michael Hasler, teaches Procurement and Operations Management at the undergraduate and graduate levels (in addition to directing the Masters in Science of Business Analytics Program).