Lessons learned in automating a global Statistical Process Control

  1. Communication
    Once top management agreed on the plan for a global implementation, the whole site should rally towards a common goal and set up key tasks aligned with management. The voice of the customers internal and external should be heard.
    Do not start implementation to a sister site that is not ready, CMMs/programs are not updated, machines and systems not validated or the site is busy with important priorities such as FDA inspection and quality issues.
  2. Key objectives and deliverables aligned from top management to bottom.
    Management prepares for a plan with measurable objectives and key results that are then translated to each site’s Quality and manufacturing engineers key objectives and key results.
  3. Identifying key areas that are needed to start the other tasks.
    System integration, JDEdwards, data sources are identified and set up early to prepare for configuration into an automated application such as InfinityQS.
  4. Training as step one in the implementation from managers, engineers to operators.
    Each site has a site admin but all QA and manufacturing engineers who will manage the SPC charts and operators who will enter the data must be trained with proper skills to execute the automated SPC system.  Part of the job description of each employee is to be able to do echo training or one-on-one training to others for backup purpose and to ensure continuity of manufacturing/quality operations. Formal training is then the final step but opportunities to share and train others must be a norm on a regular basis without waiting for a formal training or a rejected part to occur. Training documentation can take a manual or automated process.
  5. Measured results on weekly basis with set timeline and key leaders/implementors on site level.
    Meeting minutes must be representative of key players with set timeline and deliverables and each assigned person reports metrics weekly.

Objectives, communication, training and identification of key elements to prepare for a successful global SPC implementation

Do what counts. Now that you know the importance of data, keep in mind that more does not necessarily mean better. Data collected must have value and should be concise. Consider the following when determining if collected data has meaning. If the data values significantly change from the norm during production, would the change lead to a corrective action? Also, if a corrective action is needed, is there a procedure in place to deal with it?

Prior to monitoring a process, ensure you have an effective sampling strategy and systems in place to take corrective action. Decide which employees can take action based on real-time data intelligence and provide them with the necessary reports to do their job the best they can.

Data consumers: Who needs data? In the case where data is already being collected and reported, be bold and challenge the status quo. At one large airframe manufacturer, a new manager wanted to find out who needed, or was even reading, numerous scheduled reports from his department. He stopped all publications and waited for the phone to ring. All answers arrived in just a couple of weeks. Using the feedback from the few that contacted him, he completely revamped reporting content and schedules.

Give the process a leading role. True SPC involves three components: the process, the test characteristics being monitored, and the part being produced. When collecting data, the most important of these factors is the process, as it controls the consistency of the final product and influences manufacturing as a whole.

The process is needed to produce test characteristics, and test characteristics are needed to produce parts. Therefore, it is vital to include processes in data collection and analysis. You will achieve new insights by monitoring even the seemingly smallest pieces of the process, such as which nozzle filled a particular container.

Remember to identify the machines (processes) in your plant that are most critical to quality, and make sure you have a system that can measure their performance.

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