EXIN LSSA Lean Six Sigma Yellow Belt (LSSYB) Exam Syllabus

- The learning element ‘continuous improvement’ reviews the history, values and principles of the most common process improvement methodologies. Also, the culture within a continuous improvement organization as well as roles and responsibilities are reviewed
- The candidate can...

• recall the origins of quality management, Kaizen and Lean.
• understand that Lean philosophy and principles realize improvements in process lead times and efficiencies.
• recall the difference between Top-Down and Bottom-Up approaches.
• understand the different maturity levels of process management as described in the Continuous Improvement Maturity Model (CIMM).
• recall the various continuous improvement roles and responsibilities.

• understand the Voice of the Customer (VOC).
• understand that different customers have different needs, expectations, requirements, and desires.
• understand that VOC requirements need to be translated into Critical to Quality (CTQ) targets and specifications.

• understand the meaning and importance of the organization's True North.
• understand the meaning of Operational Excellence.

• recall that an organization's culture can influence the success of Lean Six Sigma deployment.

• understand the process of project selection.
• describe a proper problem statement in relation to customer requirements or complaints.

• understand project management methods that are used at the shop floor for Kaizen initiatives (e.g. PDCA, A3-report).
• understand and follow the DMAIC roadmap.

- The learning element ‘professional work environment’ is about good housekeeping and how to set up a proper and safe work environment in a structured manner.
- The candidate can…

• understand how organizing the work environment, by applying 5S (Sort, Straighten, Shine, Standardize, Sustain), will improve safety and moral.

• understand that standardized tasks are the foundation for continuous improvement.
• interpret standard operating procedures (SOPs) and one-point-lessons.

• understand quality procedures, the need to be disciplined and to work according to procedures.

• apply elements of Visual Workplace and understand how these can help to control the improved process.

• participate in stand-up meetings and Scrum sessions.
• describe and understand the importance of the Kaizen principles.
• participate in Kaizen events and continuous improvement initiatives.
• apply root cause analysis and understand the issues involved in identifying a root cause.

• understand brainstorm techniques: Affinity diagram, 5-Whys and Ishikawa.
• participate in brainstorm sessions.
• understand basic quality tools to visualize data: Scatter plot, Pareto chart, Bar chart, Pie chart, Time series plot and Histogram.

• understand the Spaghetti diagram and SIPOC.
• understand the importance of process mapping to visualize the flow of activities and decisions within a process.

• recall performance metrics related to time (e.g. takt time, cycle time and lead time).
• recall performance metrics related to quality (e.g. Yield and RTY).

• recall the different types of data and that there is a difference between counting and measuring.
• understand tools for collecting data such as data sheets and check sheets.

• understand the difference between value adding and non-value adding activities.

• identify and eliminate process Waste (Muda): Overproduction, Waiting, Transport, Overprocessing, Inventory, Movement, Defects and Unused expertise.

• understand the meaning of Flow.

• understand the meaning of Pull.

• understand the importance of First Time Right principles.
• understand the work has to be stopped when there is a quality problem (Jidoka).
• identify opportunities to apply Poka Yoke to avoid quality problems.

• understand the difference between special cause and common cause variation.
• understand it is important to follow systematic data collection.
• understand the basic terms of statistics e.g. mean and spread.

• recall that many processes are normally distributed.

• understand the importance of reliable measurement systems

• recall the basic principles of hypothesis testing.

• recall the basic principles of tests of means.

• recall the basic principles or correlation.
• recall the basic principles of linear regression.