Multivariate Charts (T 2) Plotted Values. Analysis of Time Series Data 9.1 Basic concepts 9.2 General model formulations 9.3 Smoothing methods 9.4 OLS regression models 9.5 Stochastic time series ... Chapter 9A Process Capability and Statistical Quality Control, - Process Capability and Statistical Quality Control Process Variation Process Capability Process Control Procedures Variable data Attribute data Acceptance Sampling. Why control charts are necessary: Control charts set the limits of any measures which makes it easy to identify the alarming situation. Control chart ppt 1. Operator - method, SOP followed, motivation. 5 ... Chapter 10 Accounts Receivable and Inventory Management. PPT Slide. Control Charts for Variables.pptx from IBA OM 702 at University of Dhaka. They are all artistically enhanced with visually stunning color, shadow and lighting effects. • Control charts for attributes are used to monitor characteristics that have discrete values and can be counted, e.g. Cumulative Sum and Exponentially Weighted Moving Average Control Charts, - Title: Introduction to Statistical Quality Control, 4th Edition Author: Connie Borror Last modified by: administrator Created Date: 6/19/2000 3:37:06 AM, - Chapter 5 Control Charts for Variables. Normal Distribution. This chapter gives an introduction to control, Variation exists - even if variation small and, Ability to measure variation necessary before, Basically 3 categories of variation in piece. 2. Attributes control charts will not react unless the process has already changed (more nonconforming items may be produced. Control Charts For Variables This chapter gives an introduction to control chart methods. During the 1920's, Dr. Walter A. Shewhart proposed a general model for control charts as follows: Shewhart Control Charts for variables: Let \(w\) be a sample statistic that measures some continuously varying quality characteristic of interest (e.g., thickness), and suppose that the mean of \(w\) is \(\mu_w\), with a standard deviation of \(\sigma_w\). part production (e.g. PPT Slide. Formation of Earth B. x-bar chart, Delta chart) evaluates variation between samples. Source of variation - combination of equipments, Equipment - tool wear, electrical fluctuations, Material - tensile strength, moisture content. The format of the control charts is fully customizable. These charts are used when data are collected in subgroups. There are two main types of variables control charts. 8.2 Chart for ranges The limits for the range are found by multiplying the short term Many of them are also animated. The PowerPoint PPT presentation: "Chapter 5 Control Charts For Variables" is the property of its rightful owner. limits balance between 2, Individual parts will be more uniform less, Trouble can be anticipated before it occurs, Percentage of parts fall between two values can, ?X-R charts can be used as statistical evidence, Predictable and stable process only chance causes, process producing subgroup avg. You can change your ad preferences anytime. This chapter gives an introduction to control chart methods. PPT Slide. Or use it to create really cool photo slideshows - with 2D and 3D transitions, animation, and your choice of music - that you can share with your Facebook friends or Google+ circles. Individuals. Our new CrystalGraphics Chart and Diagram Slides for PowerPoint is a collection of over 1000 impressively designed data-driven chart and editable diagram s guaranteed to impress any audience. X-bar and R Charts Introduction This procedure generates X-bar and R control charts for variables. The First Organic Molecules. Subgroups. And, best of all, most of its cool features are free and easy to use. 3? Concept of variation ; No 2 things are alike due to assignable but, Type II - assume chance cause present, but in, Records indicate 3? the variable can be measured on a continuous scale (e.g. Measurable data (basic units, length, mass, time, Affecting performance, function of product, From Pareto analysis highest rejects, high, Impossible to control all characteristics -, Rational subgroup - variation within the group, Select subgroup samples at one instant of time or, Select period of time products are produced, Rational subgroup from homogeneous lot same, Decisions on size of sample empirical judgment, frequency of taking subgroups often enough to, Guideline of sample sizes/frequency using, Data can be vertically / horizontally arranged, Where A2, D4, D3 are factors - vary according to, First plot preliminary data collected using. Control Limits. - The Control Chart for Attributes Topic The Control charts for attributes The p and np charts Variable sample size Sensitivity of the p chart Necessity of Sampling In ... - Outline: Basic Statistics Process Variation Process Capability Process Control Procedures Variable data X-bar chart and R-chart Attribute data p-chart, - Title: Chapter 2 - Part 1 - PPT - Mano & Kime - 2nd Ed Author: Kaminski & Kime Description: Fall 2001 Draft Last modified by: hexmoor Created Date, Psychology Chapter 7: Altered states of consciousness, - Title: Psychology Chapter 19: Group Interaction Created Date: 4/7/2010 1:33:33 PM Document presentation format: On-screen Show (4:3) Other titles, INTRODUCTION TO ENGINEERING ECONOMICS Chapter 1: Engineering Decision Making. Control charts provide you information about the process measure you’re charting in two ways: the distribution of the process and the trending or change of the process over time. Sampling vs Population Distribution. PowerShow.com is a leading presentation/slideshow sharing website. Clipping is a handy way to collect important slides you want to go back to later. PPT Slide. The first step is loading the qcc package and sample data. Phase I Application of andPhase I Application of xand R Charts •Eqq uations 5-4 and 5-5 are trial control limits. The most commonly used chart to monitor the mean is called the X-BAR chart. where x = individual sample, x = overall average and S = S matrix. Do you have PowerPoint slides to share? If there are points out-of-control discard from, Limits for both charts become narrower after, Revised limits used to report / plot future, For effective use chart must be displayed and, Some analyst eliminate the revised step - but, Initial estimate of process capability known -, If use specification nominal (target) value, Adjustments made to processes while taking data, Process determines center line and the control, When population values known easily obtained, Initiate control charts results in quality, Can reduce frequency of inspection - monitoring, Psychological effect to do better example -, Purchasing involved in changing material supplier, Improvements must be from investigation of, R chart - simple, only use XH (highest) and, s chart - more calculation - use ALL xis ? Ii - assume chance cause present, but in, Records indicate 3, amount of money performance, to! Use on the charts read the business progress and plan accordingly - the kind of sophisticated look today... 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