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 the product specifications to set appropriate limits, while cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) charts can also be used. Specialized charts can also 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: Hardback
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, such as multi-part characteristics and parts with varying specifications, can also be utilized to track multiple aspects simultaneously, particularly in mixed-model production scenarios.

By utilizing these practical and straightforward control charts, readers will gain the ability to effectively manage production runs with limited or no prior history. These charts provide actionable insights into out-of-control situations, enabling timely corrective actions to be taken. The simplicity and mathematical precision of the solutions presented in this book make them accessible to a wide range of professionals, enabling them to enhance their manufacturing processes and achieve improved quality control.

Weight: 340g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032249902