Control Charts Archives -

Technical Analysis: Methods, Assumptions, and Benefits

Analysis, Charts, Manufacturing, Quality Management, Total Quality Management

Technical analysis is a method of predicting prices by considering charts of market movements for previous periods of time. Under the term “market movement”, analysts understand three main types of information: price, trading volume and open position. For a more comprehensive analysis of price changes, along with fundamental analysis, technical analysis of the market, also […]

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Measurement System Analysis (MSA)

Analysis, ISO 9001, Lean Management, Manufacturing, Measurement System Analysis, Process Management, Quality Management, Statistical Process Control, Total Quality Management, TS 16949

What is Measurement system analysis (MSA)? Measurement system analysis(MSA): A process where statistical studies are being conducted to analyse the variation present in the results of each type of measuring and testing equipment system. Now day, every organization is understanding importance and widely used measurement system to quantify the variation which is only way

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Advanced Product Quality Planning (APQP)

Advanced Product Quality Planning, ISO 9001, Manufacturing, Measurement System Analysis, Process Management, Quality Management, Total Quality Management, TS 16949

What is APQP? || APQP Classification || Initial Risk Evaluation || Advanced Product Quality Planning (APQP) Phases || APQP 23 Elements Since last 15 years, in manufacturing industry vast changes we can see due to awareness of system improvement, and focus on micro level management. A broader revolution of chain management impacts overall supplier chain, which makes compulsory to focus on weakness

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Root Cause Analysis (RCA)

Analysis, ISO 14001, ISO 18001, ISO 9001, Manufacturing, Process Management, Quality Management, Risk Management, Root Cause Analysis, Total Quality Management

What is root cause analysis? || When should Root Cause Analysis be performed? || Symptom Approach Vs. Root Cause Approach table || Root cause analysis process || When you are dealing with lots of machinery, equipment and involvement of human obviously cause raise problem on any process or any location. We can eliminate, prevent, and isolate issues through planning and preventive

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7 Quality tools (seven basic tools of quality)

ISO 9001, Manufacturing, Process Management, Quality Management, Root Cause Analysis, Statistical Process Control, TS 16949

In the present manufacturing world, Quality management and its methods undergoing transformation. Through the evolution of total quality management, we see that every department peoples that is top to bottom level people have being involved and its necessary for drastically changed or customer requirements being higher level. So how to achieve good quality product, and

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How to improve productivity and efficiency using lean six sigma

Analysis, Lean Management, Manufacturing, Process Management

Lean Six Sigma = Lean + 6 Sigma | Most of the businesses are expecting to improve operational efficiency, that will trigger an improvement in the quality of the product, and while reducing overall costs. But the question is how to improve operational efficiency? There are actually two approaches to improving operational efficiency, the first

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Statistical process control (SPC): Quality Tools

Analysis, Manufacturing, Process Management, Quality Management, Statistical Process Control

“Statistical process control (SPC) is a Process to determine the appropriate statistical technique to enhance visibility to quality information of product characteristic and process capability. “ What is Statistical process control (SPC)? || Why SPC? || Statistical process control (SPC) Process Flow: Table || Process Control || Variation || Process control chart || Type of data for statistical process control || X – Bar R chart (Average and range

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Pre-Control Charts | Pre-control Limits | Narrow-Limit Gauging

Manufacturing, Process Management, Statistical Process Control

Pre-Control Charts | Pre-control is a technique that can be used with X-bar and R, (Range), control charts. For example, for revealing process situations and variations that could produce defects (opposed to variations which are statistically noteworthy), and establish control limits without the using the normal calculations that are used with Upper control limits and

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