Planning
overview
      

Careful planning can help you avoid problems that can occur during the execution of the experimental plan. For example, personnel, equipment availability, funding, and the mechanical aspects of your system may affect your ability to complete the experiment. If your project has low priority, you may want to carry out small sequential experiments. That way, if you lose resources to a higher priority project, you will not have to discard the data you have already collected. When resources become available again, you can resume experimentation.

The preparation required before beginning experimentation depends on your problem. Here are some steps you may need to go through:

·    Define the problem. Developing a good problem statement helps make sure you are studying the right variables. At this step, you identify the questions that you want to answer.

·    Define the objective. A well-defined objective will ensure that the experiment answers the right questions and yields practical, usable information. At this step, you define the goals of the experiment.

·    Develop an experimental plan that will provide meaningful information. Be sure to review relevant background information, such as theoretical principles, and knowledge gained through observation or previous experimentation. For example, you may need to identify which factors or process conditions affect process performance and contribute to process variability. Or, if the process is already established and the influential factors have been identified, you may want to determine optimal process conditions.

·    Make sure the process and measurement systems are in control. Ideally, both the process and the measurements should be in statistical control as measured by a functioning statistical process control (SPC) system. Even if you do not have the process completely in control, you must be able to reproduce process settings. You also need to determine the variability in the measurement system. If the variability in your system is greater than the difference/effect that you consider important, experimentation will not yield useful results.

Minitab provides numerous tools to evaluate process control and analyze your measurement system.