This webcast is the third in the four-part webcast series:
Making Warranties Work For You.
Learning Objectives
Participants in this webcast will learn:
- The uses and benefits of early warning systems,
- How early warning systems and processes fit into your company's business perspective,
- How to analyze/calculate the value of early warning programs,
- What successful (and unsuccessful) Early Warning implementations look like.
Program Content
The expanding number of government- and industry-mandated early warning programs are spurring companies to find new and more effective ways to collect, manage, analyze and report the required data. Progressive companies are seeing the business value of integrating this information back into their product design, manufacturing processes and service operations to improve product performance and customer satisfaction, reduce production and maintenance costs and minimize risk exposure.
Our panel will be discussing the various uses of early warning systems and programs, and how your business can achieve full value from a well-planned early warning strategy. Learn how you can detect emerging issues before they become major liabilities, identify production anomalies before defective products reach the market, or uncover unexpected failure modes in field operations.
In addition, we'll take a look at requirements and best practices for an effective early warning program, and review some successful (and unsuccessful) implementations. You'll come away with a better understanding of how your business can achieve both financial and operational benefits from a comprehensive early warning program.
Participant Level of Understanding
This program is intended for participants with a basic or intermediate level of understanding on the topic.
Who Should Attend
Executives, Directors, Managers and Analysts who want a better understanding of how the use of well-planned early warning programs and strategies can contribute to a company's success.
About Eric Arnum (Warranty Week), William Meeker (Iowa State University), Laura Madison (GM), David Froning (SAS)
Eric Arnum is the editor of Warranty Week, an online publication for the warranty professional. Launched in 2002, Warranty Week focuses on manufacturing industry's aftermarket, with analyses of warranty costs, regulatory reporting, market value, and warranty product and management trends. Warranty Week also hosts the Warranty Chain Management Conference, an annual event that gives warranty professionals the opportunity to meet and discuss warranty related issues and develop warranty management as a recognized discipline. Before launching Warranty Week, Mr. Arnum edited several newsletters in the telecom industry and performed research and consulting projects for a wide range of clients in North America, South America and Europe. Mr. Arnum received a degree in economics from Syracuse University.
William Meeker is a Professor of Statistics and Distinguished Professor of Liberal Arts and Sciences at Iowa State University. He holds a B.S. (1972) from Clarkson College and M.S. (1973) and Ph.D. (1975) from Union College. His interests are in the areas of reliability data analysis, statistical planning and inference, and statistical computing. He has worked eight summers at the General Electric Corporate Research and Development Center and fifteen summers at AT&T Bell Laboratories. He is a Fellow of the American Statistical Association (ASA) and an elected member of the International Statistics Institute. He has twice won the American Society for Quality Control (ASQC) Wilcoxon Prize. He is the co-author of two books, three book chapters, and of numerous publications in the engineering and statistical literature. Meeker is a former editor of Technometrics and co-editor of Selected Tables in Mathematical Statistics. He is currently an Associate Editor for International Statistical Review.
Laura Madison is Quality Warranty Data Manager, General Motors, Warren, MI. As the Quality Warranty Data Manager for General Motors (GM), Laura's mission is to acquire and analyze warranty data to monitor performance, to drive product/process improvements and to provide resource allocation decisions for the global company. Critical to GM's bottom-line, warranty performance impacts both cost and customer satisfaction at the company. Laura's group is tasked with providing the data needed to drive warranty cost reduction and improve customer satisfaction. Specifically, her focus is on developing and implementing tools to identify issues as quickly as possible. Identifying issues more rapidly enables product improvements throughout the vehicle development process and into the customer's driveway.
David Froning is the Product Manager for SAS Warranty Analysis. Mr. Froning works in partnership with manufacturers, suppliers, and industry organizations to develop and implement solutions for manufacturing industry issues such as warranty, quality, and early warning. Through participation in industry groups and independent research, Mr. Froning works with manufacturing companies to develop best practices for technology applications.
Before coming to SAS, Mr. Froning worked for General Motors. He managed the development, operation, and continual improvement of quality and warranty information systems utilized across GM's North American operations and supplier community. His experience also includes work with leading automotive market research firms. He holds a Bachelor of Science from Michigan State University and a Master of Science from the University of Wisconsin at Madison.
