Continuous Process Improvement

Course id: 8862
Duration: 2 Day/ 5 H per day


Inefficient or poorly defined processes result in lower productivity, lower quality and higher cost. Furthermore, in today’s highly competitive environment what worked yesterday is no guarantee of success today, even less so tomorrow. This workshop introduces participants to the fundamentals of process management and improvement. The workshop teaches the skills necessary to accurately and completely describe processes as a prelude to analysis and improvement. At the conclusion of this workshop, participants will be ready to become active members of Continuous Process Improvement teams.


General management background


The workshop is intended for anyone interested in applying quality tools to manage and control business processes. There is no prerequisite for the workshop The workshop is ideal for preparing people to participate on Continuous Process Improvement teams


At the end of the course participants will be able to: ? Learn how to identify and document key processes. ? Learn how to measure process performance ? Learn how to use the PDCA (Plan-Do-Check-Act) cycle to guide process improvement efforts. ? Identify root cause of poor performance, propose solution alternatives, select and implement the solution, evaluate the effectiveness of the solution, and standardize gains to prevent backsliding. ? Learn how to use basic quality tools including brainstorming, flowcharts, check sheets, run charts, histograms, control charts, cause-effect diagrams, Pareto charts, cause-effect trees, scatter diagrams, and Gantt charts.


  • Overview of TQM.
  • Overview of Process Management.
  • Management Functions and Processes.
  • Value chain and Control chain.
  • SIPOC Model.
  • Process Mapping and documentation
  • Ten steps of Continuous Improvement.
  • Performance Measure: Efficiency and Effectiveness
  • CPI Tools: Brainstorming and Nominal Group Technique Check Sheets Pareto Analysis Run and Control Charts Histogram Organisation Mapping Cause and Effect Analysis Scatter Diagram Decision Matrix Force Field Analysis



Dr. Mohammed Pedra
United Arab Emirates
Dr. Mohammed Pedra