The first collection of cases on “big data” analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker. Perfect for students, practitioners, and certification candidates in SCM, OM, and OR, these short, focused, to-the-point case studies illustrate the entire decision-making process. They provide realistic opportunities to perform analyses, interpret output, and recommend an optimal course of action. Contributed by leading “big data” experts, the cases in The Applied Business Analytics Casebook covers:
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Matthew J. Drake, Ph.D., CFPIM, is an Associate Professor of Supply Chain Management and the Director of International Business Programs in the Palumbo-Donahue School of Business at Duquesne University. Dr. Drake primarily teaches analytical courses in the Supply Chain Management program. He holds a B.S. in Business Administration from Duquesne University and an M.S. and Ph.D. in Industrial Engineering from the Georgia Institute of Technology. His first book, Global Supply Chain Management, was published by Business Expert Press in 2012. Dr. Drake’s research has been published in a number of leading journals including Naval Research Logistics, the European Journal of Operational Research, Omega, the International Journal of Production Economics, OR Spectrum, the Journal of Business Ethics, and Science and Engineering Ethics. Several of his previous cases and teaching materials have been published in INFORMS Transactions on Education and Spreadsheets in Education.
Dr. Drake lives in suburban Pittsburgh, Pennsylvania, with his wife, Nicole; his daughter, Noelle; and his dog, Bismarck.
The first complete casebook on business analytics for supply chain and operations management
This unique casebook in analytics for supply chain management places you in the role of decision-maker, exposes you to the entire decision-making process, and provides opportunities to perform analyses, interpret output, and recommend the best course of action.
Contributed by leading experts in “big data” for supply chain and operations management, these cases are short, concise, and to the point. You'll identify and test competing hypotheses; perform risk analyses; optimize decision-making in the face of uncertainty; and improve key processes such as routing and scheduling.
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