Polyhedrika

Course objectives: Understand the importance of process orientation Apply Six Sigma DMAIC (Define, Measure, Analyse, Improve, Control) methodology Experience the negative effects of variation, see ways to measure and reduce it Find out different types of process factors: dependent, independent, controllable or not Ask the right questions to get to the root cause of problems Identify potential problems before they actually take place Apply this methodology and tools to one's own process with an improvement project IASSC Green Belt Lean Six Sigma Body of Knowledge 1. Define What is important? What is the problem? Project Scheduling Project charter: Goals, objectives, scope, justification, project participants Current status: go to Gemba Problem definition: SMART The voice of the customer: translate it to process specs Process map and flow chart: SIPOC Process Value Stream Map with MS Excel. 2. Measure What to measure?: Voice of the customer, Voice of the process, Business results P

  Process variation analysis is essential in order to improve it. There is always variation. Sometimes we only have random variation such as in the case of dice throwing: https://polyhedrika.blogspot.com/2020/12/dice-throwing-exercise.html   Normally we have additional variation caused by special causes and these are the ones we should analyse and reduce first. Hourly Production  We are going to analyse the hourly production data collected during one month: Download this Excel file Trend Analysis.xlsx from OneDrive folder Process stability SPC charts allow us to check for stability: see if all variation is random. https://polyhedrika.blogspot.com/2020/12/spc-analysis.html We now apply an individuals SPC chart to our production data to check this: The green and red dots are a clear indication of lack of stability: there are special causes affecting production. Timestamp Data Collection When we collect process data either manually or automatically it is essential to collect the timestam