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The Applied Business Analytics Casebook - Matthew J. Drake

The Applied Business Analytics Casebook

Applications in Supply Chain Management, Operations Management, and Operations Research
Buch | Hardcover
224 Seiten
2013
Pearson FT Press (Verlag)
978-0-13-340736-5 (ISBN)
CHF 115,20 inkl. MwSt
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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: 



Forecasting and statistical analysis: time series forecasting models, regression models, data visualization, and hypothesis testing
Optimization and simulation: linear, integer, and nonlinear programming; Monte Carlo simulation and risk analysis; and stochastic optimization
Decision analysis: decision making under uncertainty; expected value of perfect information; decision trees; game theory models; AHP; and multi-criteria decision making
Advanced business analytics: data warehousing/mining; text mining; neural networks; financial analytics; CRM analytics; and revenue management models

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.

Part 1: Forecasting and Statistical Analysis

1. Forecasting Sales at Ska Brewing Company

2. Maintaining Financial Success and Expanding into Other Markets at FeedMyPet.com

3. Forecasting Offertory Revenue at St. Elizabeth Seton Catholic Church

4. Pizza Station

Part 2: Optimization and Simulation





5. Inventory Management at Squirrel Hill Cosmetics 6. Safety Stock Planning for a Hong Kong Fashion Retailer

7. Network Design at Commonwealth Pipeline Company

8. Publish or Perish: Scheduling Challenges in the Publishing Industry

Part 3: Decision Analysis





9. Narragansett Brewing Company: Build a Brewery 10. Aluminum vs. Plastic: A Life-Cycle Perspective on the Use of These Materials in Laptop Computers

11. HealthCare’s Corporate Social Responsibility Program

12. Paperbackswap.com: Got Books? 

13. Stranded in the Nyiri Desert: A Group Case Study

Part 4: Advanced Business Analytics

14. Joe’s Coin Shop: Entry into Online Auctions

15.  Vehicle Routing at Otto’s Discount Brigade

 

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The complete, up-to-date casebook for analytics in SCM, OM, and OR: concise, focused cases that make you the analyst and decision-maker.

Verlagsort NJ
Sprache englisch
Maße 163 x 232 mm
Gewicht 420 g
Themenwelt Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Technik Maschinenbau
Wirtschaft Betriebswirtschaft / Management Logistik / Produktion
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Wirtschaft Volkswirtschaftslehre Ökonometrie
ISBN-10 0-13-340736-5 / 0133407365
ISBN-13 978-0-13-340736-5 / 9780133407365
Zustand Neuware
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