Control Charts Control Charts are use to distinguishes between specialcause or common-cause of variation that is present in a process. There are two basic types of control charts:- Variables - Quantitative data (Measured) Attributes - Qualitative data (Counted) Variable Control Charts Use actual measurements for charting Types:- Average & Range charts Median & Range charts Average & Standard deviation charts Individual & Moving Range charts Run Charts Attribute
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Statistical P S i i l Process Control C l 26 August 2009 University Malaysia Perlis P li Presented by Dr Zaharah Wahid DRZ CONSULTANT 1 An Overview of Statistical Process Control (SPC) DRZ CONSULTANT 2 What is SPC Statistical : A universal language to describe and analyse the physical variability of a process. Process : The transformation of inputs including f f man‚ machinery‚ methods‚ materials‚ energy and information to attain a desired result result. Control : To make a process behave
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Control Charts Control charts‚ also known as Shewhart charts are tools used to determine if a manufacturing or business process is in a state of statistical control. The control chart was invented by Walter A. Shewhart‚ (also known as the father of statistical quality control) while working for Bell Labs in the 1920s. The company’s engineers were seeking to improve the reliability of their telephony transmission systems. The engineers had realized the importance of reducing variation in a manufacturing
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Basic Tools for Process Improvement Module 10 CONTROL CHART CONTROL CHART 1 Basic Tools for Process Improvement What is a Control Chart? A control chart is a statistical tool used to distinguish between variation in a process resulting from common causes and variation resulting from special causes. It presents a graphic display of process stability or instability over time (Viewgraph 1). Every process has variation. Some variation may be the result of causes which are not normally
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5.4 5.4 5.5 3 5.9 5.6 5.2 5.2 5.6 4 5.5 5.5 5.9 5.3 5.3 5 5.5 5.4 5.8 5.3 5.2 6 5.4 6.0 5.9 5.3 5.6 7 5.6 5.2 5.3 5.6 5.9 8 5.8 5.2 5.3 5.6 5.5 Construct control charts for the shaft diameter for 3-sigma limit of confidence. Find whether the process is in control or not? Test with following data and find whether it meets specifications or not. Sample No. No. of Observation Sample No. No. of Observation 1 2 3 4 5 1 2 3 4 5
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Statistical Process Control: GMS-401 F2013 In GMS-401 we study 2 types: 1. Inspection for variables —there is typically one dimension most indicative of QUALITY or lack of Quality of an item being studied for compliance to a Quality Standard. Here it is a dimension such as the contents of a jar of fruit jam‚ the size of a pair of shoes etc. These are called X-bar and R charts. One calculates X-bar-bar and R-bar averages and these are the centre lines of the SPC run-charts that will be drawn
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IE 421 INDUSTRIAL QUALITY CONTROL ACKNOWLEDGEMENT The sincerity and abyss gratitude is greatly expressed to all the people who in different ways have reinforced and contributed to the course of carrying out this project. We would like to extend our appreciation to all of them for their indispensable help and support. A heartfelt gratitude to Engr. Christel B. Nuñez‚ our instructor in Industrial Quality Control for her unreserved help and unwavering guidance throughout the completion
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Fadi Kotob Team Members: Chua Hock Lai (4335120) Ho Wei Giin (4398063) Koh Hee Ting (4337062) Ong Wen Pin‚ Sean (4397940) TABLE OF CONTENTS 1.INTRODUCTION 3 2.DEFINE 3 3.MEASURE 4 4.ANALYZE 7 5IMPROVE 13 6.CONTROL 19 1. INTRODUCTION In every business‚ quality control is the most important portion that affect the business concept hence in order to strive a better profits in business‚ we need to make sure that quality of services is provided to consumers. In our project team case study
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quality problems in the production process as well as in the product itself. Statistical Quality Control (SQC) is a set of statistical techniques intended to aid in the improvement of system quality.[i] DEFINITION The Statistical Control of Quality is application of statistical principles and techniques in all stages of design‚ production‚ maintenance and service. The phrase “statistical quality control” (SQC) refers to the application of statistical methods to monitor and evaluate systems and to
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Process Capability Assessment Control Charts for Individual Measurements Cumulative-Sum control charts Control Charts for Large Sample . . Statistical Process Control - Part II IE 330‚ Spring 2013‚ Instructor: Yu-Ching Lee March 14‚ 2013 1 / 127 Process Capability Assessment Control Charts for Individual Measurements Cumulative-Sum control charts Control Charts for Large Sample Use of the histogram Process Capability Indices Statistical Assignment of Tolerances Loss
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