Note: The complimentary book offer mentioned during this Webcast will expire on August 15, 2008.
This Webcast is the second of five episodes in the Supply Chain Excellence Series, which examines emerging supply chain strategies and technologies for manufacturers.
Learning Objectives
- AMR study – What are the latest research findings, and what will they mean to you?
- Demand-Driven Forecasting – What is demand-driven forecasting and how does it differ from traditional demand forecasting?
- Sensing and Shaping Demand – How are companies using new technologies to sense and shape demand to gain a competitive advantage?
- Inside the John Deere model – How does John Deere perform demand forecasting to drive profitability within its organization?
Program content
Do you know how to align your business model and processes to meet the true demand of your customers? How do you separate yourself from the competitive pack?
A panel of experts from Purdue University, John Deere and SAS will explain how leading companies develop an accurate, predictive view of customer demand that helps them work in step with their customers, enabling them to “pull” products through the supply chain. Hear recent research findings and find out which technologies are essential to support this “pull vs. push” model.
The discussion will provide perspectives about the evolution of business models:
- Build to order
- Build to stock
- Build to true demand
These perspectives will provide valuable context in which you can consider your own business practices and identify opportunities to refine them.
Ultimately, you’ll see new ways to pinpoint true customer demand and meet individual preferences and customizations in a cost-effective manner.
Participant level of understanding
This program is intended for executives and managers who want to understand how they can compete effectively with supply chain and demand forecasting programs.
Who should attend
- Demand forecasting directors and managers.
- Executives responsible for aftermarket or service support.
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Learn how SAS® Demand-Driven Forecasting combines the power of automation, analytics and workflow to generate the most unbiased and accurate forecast on a large-scale basis. |
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About Kenneth Kahn, Purdue University; Tom Reynolds, John Deere; and Charles Chase, SAS
Kenneth Kahn, PhD
Kenneth B. Kahn (BIE, Georgia Institute of Technology; MSIE, Virginia Polytechnic Institute and State University; PhD in marketing, Virginia Polytechnic Institute and State University) is Professor of Industrial Technology and the Avrum and Joyce Gray Director of the Burton D. Morgan Center for Entrepreneurship at Purdue University. His teaching and research interests concern product development, product management and demand forecasting of current and new products. He has published in a variety of journals, including the Journal of Product Innovation Management, Journal of Business Research, Journal of Forecasting, Journal of Business Forecasting, Journal of Business Logistics, Marketing Management, and R&D Management.
He is the author of Product Planning Essentials (Sage Publications, 2000) and New Product Forecasting: An Applied Approach (M.E. Sharpe, 2006) and is editor of the PDMA Handbook on New Product Development, Second Edition (Wiley & Sons, 2004).
Prior to joining Purdue University, Kahn was the co-founding Director of the University of Tennessee's Sales Forecasting Management Forum, an education and research consortium involving market analysis and sales forecasting. He was also previously Director of Georgia Tech's Marketing Analysis Laboratory and co-founder of Georgia Tech's Collaborative Product Development Laboratory, both of which conducted corporate-sponsored research. Kahn is currently Vice President of Publications for the Product Development and Management Association.
Kahn's industrial experience includes serving as an industrial engineer and project engineer for the Weyerhaeuser Company and a manufacturing engineer for Respironics Inc. He has consulted with and facilitated benchmarking sessions with numerous companies, including 3M, Acco Brands, Alticor Corporation, Amgen, Biolab, Borden, Cargill, Cheps USA, Ciba Specialty Chemicals, Coca-Cola, Corning, Enterasys Networks, Gillette, Hanes/L'eggs, Hewlett-Packard, Lifescan, Mary Kay Cosmetics, McNeil Consumer Healthcare, Miller Brewing Company, Moen, Motorola, Mrs. Smith's Bakeries, Nabisco, Pharmavite, Schering-Plough, Smithkline-Beecham, Springs Industries, Symbol Technologies, Tropicana, Unilever and Xerox.
Tom Reynolds
Tom Reynolds is Manager of Agricultural Economic Research with John Deere's Agricultural Division, where he is responsible for reporting economic conditions of the North American farm equipment market within the company and providing industry forecasts to the sales and operations process.
Reynolds also oversees the development of a single long-range economic analysis and industry projection for the division. He is a member of the Global Forecast Team that redesigned Deere's forecast process and currently serves on Deere's Farm Bill Analysis Team and the Global External Insights Team.
His previous employment includes Assistant Professor of Economics at North Carolina State University and Research Associate at the Center for Agricultural and Rural Development at Iowa State University, where he developed a regional econometric model of the US farm sector. Reynolds has published several journal articles about econometric models and long-range forecasts of the US farm sector.
Charles Chase
As Business Enablement Manager at SAS, Charles Chase is the principal architect and strategist for delivering finished goods forecasting solutions to SAS customers to improve their supply chain efficiencies. Chase has more than 26 years of experience in the consumer packaged goods industry and is an expert in sales forecasting, market response modeling, econometrics and supply chain management.