After completing the Measure phase, the Analyze phase is the third step in the DMAIC (Define, Measure, Analyze, Improve, and Control) approach to process improvement. This phase is critical in identifying the root causes of the problem and determining the relationship between inputs and outputs. In this post, we will discuss the types of deliverables to be produced by the project team in the Analyze phase of DMAIC.
1. Data Analysis Results
One of the main deliverables of the Analyze phase is the analysis of the data collected in the previous phase. This analysis should be conducted using statistical tools and techniques to determine the most significant factors contributing to the problem. The analysis results will provide insight into the causes of the problem and the relationship between the input and output variables.
2. Root Cause Analysis
Another key deliverable of the Analyze phase is the identification of the root cause(s) of the problem. Root cause analysis involves investigating the underlying factors that contribute to the problem. This analysis helps to ensure that the identified solutions address the underlying causes rather than just the symptoms.
3. Process Maps
Process maps are graphical representations of a process that illustrate the sequence of steps, decisions, and outcomes. Process maps (or process flow charts) help to identify process inefficiencies, bottlenecks, and waste. These maps help identify areas where improvements can be made and should be updated throughout the DMAIC process.
4. Value Stream Maps and other Lean Tools
Value stream maps visually represent the entire value stream for a product or service. They show the flow of materials and information throughout the process, from supplier to customer. Value stream maps help identify improvement opportunities, reduce waste, and increase efficiency.
5. Fishbone Diagrams
Fishbone diagrams, also known as Ishikawa diagrams or cause-and-effect diagrams, are a graphical representation of the potential causes of a problem. This tool helps to identify all the possible factors that may contribute to the problem and to narrow down the root cause(s) of the problem.
6. Hypothesis Testing Results
Hypothesis testing is a statistical tool used to test whether a hypothesis about a population is true or not. The Analyze phase involves testing hypotheses about the root cause(s) of the problem. The results of hypothesis testing provide evidence to support or reject the hypothesis.
7. Pareto Charts and other Graphical Tools
Pareto charts are bar charts that display the relative frequency or size of problems in descending order of importance. They help to identify the most significant problems and their underlying causes. Pareto charts help prioritize improvement efforts and resources.
8. Correlation and Regression Analysis Results
Correlation and regression analysis are statistical tools used to identify the relationship between variables. The Analyze phase involves using these tools to determine the relationship between the input and output variables. This analysis's results help identify which variables have the most significant impact on the output.
9. Statistical Process Control (SPC) Charts
Control charts are a graphical representation of a process that displays the performance of the process over time. These charts help identify any patterns or trends in the data and determine whether the process is stable. SPC charts help identify when a process is out of control and when action is required.
10. Value-add Analysis
Value-add analysis is used to identify non-value-adding activities or processes. This analysis helps to identify areas of waste and inefficiency and can be used to prioritize improvement efforts. The results of this analysis should be used to develop solutions that eliminate or reduce non-value-adding activities.
In conclusion, the deliverables of the Analyze phase in DMAIC are critical in identifying the root causes of the problem and determining the relationship between inputs and outputs.