Statistical Process Control and Kanban: A Powerful Combination

Statistical Process Control (SPC) and Kanban, while seemingly disparate methodologies, offer a surprisingly synergistic relationship when implemented together. SPC, with its focus on monitoring and controlling process variation, provides a robust framework for identifying and addressing potential problems before they impact the overall workflow. Kanban, on the other hand, provides a visual system for managing workflow, allowing for efficient identification of bottlenecks and opportunities for improvement. Combining the two results in a more streamlined, predictable, and efficient system.

One of the key advantages of integrating SPC with Kanban is the ability to track key process metrics in real time. This allows for quick identification of deviations from expected values. This can indicate a systemic problem which needs investigating. For example, you might use SPC charts to track lead times for each task in the Kanban system. By doing so you can quickly and effectively highlight which areas of the workflow may be experiencing excessive variability. Identifying these issues swiftly, rather than only discovering it downstream at the end product stage, means your problems are contained and easily solved.

Furthermore, by visualising your Kanban flow, and plotting values which you would use for control charts using the data from your kanban board, you will generate an easily interpretable and easily understood mechanism for understanding and improving your flow, You might even consider utilizing control charts to visualize your cycle times or lead times for each stage of your Kanban system. This visual representation not only helps to prevent any significant issues emerging but provides readily accessible metrics which show process improvements. Learn more about the specifics of choosing appropriate control charts by visiting this comprehensive guide.

Effective implementation often hinges on careful selection of appropriate metrics to monitor. This decision relies upon understanding of your processes, a point which should be elaborated in the planning phase. You might consider tracking things like defect rates and cycle times – see this page on the use of cycle times for further details – and using these metrics to actively monitor performance and identify areas for improvement. Similarly, it is useful to understand the methods behind tracking defects a more in depth explanation. You can start off with smaller projects as practice – check out our tips for initial project scope definition.

By proactively using data derived from Kanban implementations to populate statistical process control charts, organisations can more effectively understand, and manage the flows of their process systems. Consequently, such integration creates an powerful management tool set, yielding a strong system capable of managing large-scale complexities, resulting in higher productivity, and superior quality products, to name just two significant benefits.