Desired State Process Mapping
May 26, 2020
1:00 PM – 3:00 PM EDT
By the end of this course, participants will have learned how to map processes at three levels of detail (Level 1, 2 and 3 process maps); identify potential problem areas; differentiate between cycle and lead time; define the components of lead time; review and analyze ‘as-is’ process maps; and analyze and dissect current state process maps for improvement. They will also learn how to calculate process efficiency, distinguish between value added and non-valued activities, map desired state process flows and use process-mapping to facilitate continuous process improvements across the organization.
Participants enrolled in this course will learn to:
- Analyze and review the fundamentals of process mapping including symbol usage, and processes from 3 levels of perspective. The What (level 1), the Who (Level 2) and the How (Level 3).
- Familiarize themselves with several customer-focused, employee-friendly tools that will help them close gaps and improve key/core processes.
- Analyze processes from three perspectives: Activities, Decisions, and Sequences.
- Outline typical problem areas within processes and provide solutions to reduce them.
- Highlight the difference between cycle and lead time when calculating process efficiencies.
- Design and highlight ways to determine process efficiencies by focusing on the function of value-added as compared to non-value-added activities.
- Describe and conduct SWOT analysis’ that can be used to help implement better desired state processes.
- Share good practices and ideas for process improvement and practice desired state process mapping using fun case study exemplars.
Who Should Attend
- Any employee working in both service and manufacturing organizations.
- All employees, managers and quality professionals responsible for increasing the effectiveness of their workgroup or organization.
- Any employee looking to improve their process efficiency or who needs to learn a more formal approach to mapping and improving processes.