Upcoming Sessions (Fee includes lodging and most meals) June 7-9, 2015 $4,000 Shorten Flow Time and Reduce Variability Generate a sustainable advantage in cost, quality, speed and customer service to achieve world-class performance. Using real-world case studies, group workshops and animated computer simulation models, you will explore a framework for diagnosing, improving and designing effective processing systems and for identifying leverage points with the greatest impact on the bottom line.
The business process flow paradigm examines an organization as a collection of business flows with a critical link between operational drivers and strategic success. You will analyze a set of "laws" representing the core science of lean operation in a collaborative learning environment.
Taken together, these tools provide a firm scientific foundation for the practice of lean six sigma operations to put into action in your organization.
Operations Management Week You may combine this program with our Supply Chain Management program in Operations Management Week. When taken consecutively, these programs are offered at a 10-percent discount and provide an executive summary of the innovative approach to operations management used in the highly-acclaimed Kellogg MBA program.
Who should attend If you are a high-level manufacturing or service manager who shapes your organization’s operations vision, or a manager who wants to improve your existing systems, this program is designed for you.
Consultants and engineers who seek to justify the cost of improvement projects, and production-control specialists are encouraged to attend.
Key benefits During this course, you will:
- Link day-to-day operational details to business strategies
- Analyze process flows to target improvement efforts
- Focus on operating policies that represent key leverage points with respect to the bottom line
- Work with your systems’ natural tendencies to develop customized policies for your environment
- Identify strategies for increasing throughput, shortening flow time, reducing variability, and improving quality