Career Point Cares 1. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Process Capability Index Example A manufacturing process produces a certain part with a mean diameter of 2 inches and a standard deviation of 0.03 inches. Process Capability Analysis of a Centre Lathe Turning Process Andrew A. Erameh1, Nurudeen A. Raji2, Rasheed O. Durojaye3, Abiodun A. Yussouff4 1Department of Mechanical Engineering, Igbinedion University, Okada, Nigeria 2Department of Mechanical Engineering, Lagos State University, Ojo, Nigeria 1. Process Capability Analysis 1 Process Capability Analysis Specification limits Limits that define the Process Capability Analysis from Control Charts Control charts are used to monitor the process after the initial process capability evaluation. This prediction enables us to “qualify" a new manufacturing process as being fit for use in production. See more ideas about Process capability, Microsoft excel, Excel tutorials. Gauge and Measurement System Capability ... Microsoft PowerPoint - 405chapter8 [Compatibility Mode] Once you finished the case analysis, time line of the events and other critical details. Process Capability (Cp): Process Capability (Cp) is a statistical measurement of a process’s ability to produce parts within specified limits on a consistent basis; Its gives us the idea about the width of the Bell curve. Control chart method: attributes data. Process Capability Review. observed behaviour of the process. Presented by: Assess the performance of the process before improvements are made. PROCESS CAPABILITY Details step by step guidance to conduct Process Capability. Aug 11, 2019 - Explore Melody Spencer's board "pROCESS cAPABILITY" on Pinterest. Cp: Process Capability Index Cpk: Process capability considering location within the upper and lower specification limits or tolerance Cpk is the smaller of the Cpk u or Cpk L C pkU = (USL - X) 3σ C p = (USL - LSL) 6σ C pkL = (X - LSL) 3σ Process Capability Analysis 1 Process Capability Analysis Specification limits Limits that define the Mechanics Excel Macro for Data Collection and Analysis: DMM00024-EN-4.0 (located in PCP Library) This spreadsheet is widely distributed to Nokia mechanics designers and to our suppliers This spreadsheet is for the collection of measurement data and the carrying out of Process Capability Analysis and calculate: Mean Short-term standard deviation Long-term standard deviation Cp & Cpk … Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. MS PowerPoint Presentation including 101 slides covering - Introduction to Six Sigma, - Creating and analyzing a Histogram, - Basic Statistics & Product Capability, - Statistical Process Control for Variable Data, - Definitions of Process Capability Indices, - Confidence Interval Analysis for Capability Indices, - Capability Study for Non-Normal Distributed Processes, - and several Exercises. Chapter 6: Process Capability Analysis for Six Sigma 6 6 Length Frequency 5.96 5.98 6.00 6.02 6.04 30 25 20 15 10 5 0 5.95 5.999 6.05 Mean 5.999 StDev 0.01990 N150 Histogram of Length Normal Figure 6.3: Fitted Normal Curve with Reference Line for the Length Data It shows the exact process capability at current. Follow the guidelines presented in Part 1 of the Process Capability Series, How to Perform a Process Capability Study The Process Capability is a measurement of how the process is performing with respect to the desired outcome. Process Capability Analysis Using Designed Experiments. Process Capability Analysis for Normal Distributions CP and PPM interpretation The Figure below shows control charts for a process. This Process Capability presentation will provides information about changes and tendencies of the system during production. The lower and upper engineering specification limits are 1.90 inches and 2.05 inches. Conclusion Thursday, July 26, 2012. In the absence of any special or assignable causes of variation, a process … process capability analyses with continuous data, namely: • The process is in statistical control. • Attribute data can use confidence intervals to predict process performance.