Short-Run SPC for Manufacturing and Quality Professionals

The principle of value comes from the production of parts rather than charts and applies when using practical statistical process control (SPC). PRE-Control and short-run SPC use product specifications to set appropriate limits, while cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) charts can also be used. Specialized charts can track multiple part characteristics, and parts with different specifications, simultaneously. Process owners and quality engineers will be able to perform all supporting calculations in Microsoft Excel, without the need for advanced software.

Format: Paperback / softback
Length: 84 pages
Publication date: 07 September 2022
Publisher: Taylor & Francis Ltd

The principle of value holds significant importance in the realm of manufacturing, particularly when employing practical statistical process control (SPC). In this context, the focus shifts from relying solely on charts to generating parts as the source of valuable information. This principle becomes particularly crucial when dealing with short production runs, where process history may be limited. While traditional SPC relies on estimating process parameters and setting control limits using sufficient data, practical applications often necessitate alternative approaches.

One such method is PRE-Control, which solely relies on the product specifications to establish appropriate limits. On the other hand, short-run SPC assumes a capable process, starting with a 4-sigma assumption and gradually adjusting control limits based on the process data. Additionally, cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) charts can be employed for this purpose. Specialized charts are also available to track multiple part characteristics simultaneously, particularly when dealing with mixed-model production scenarios.

By utilizing these methods, readers can effectively deploy practical and straightforward control charts for production runs where prior history is unavailable. These charts provide immediate actionable insights, enabling the identification of out-of-control situations and the implementation of corrective actions as defined by control plans. The simplicity and mathematical precision of the solutions presented in this book make them accessible to a wide range of manufacturing professionals, enhancing their ability to optimize production processes and achieve improved quality outcomes.

Weight: 206g
Dimension: 177 x 251 x 16 (mm)
ISBN-13: 9781032249896