Are you Looking for a refresher training on #controlcharts?
we are excited to announce 8 hours online
#ControlCharts Refresher Training Program!
What You’ll Learn:
✅ Basics of Control Charts: Understanding how they work and why they’re essential.
✅ Types of Control Charts: Variable charts (IMR, Xbar, Xbar S, ZMR, IMRS/R),
Attribute charts (P, NP, C, U, LANEY P, LANEY U), Rare event charts (G, T)
✅ Interpreting Charts: Detecting trends, shifts, and special cause variations.
✅ Real-World Applications: Practical examples to enhance process stability and quality.
Who Should Attend?
Quality professionals, Process engineers, Production managers, Anyone passionate about driving operational #excellence
Why Join?
Control Charts are a cornerstone of statistical process control (SPC), helping organizations: Monitor process performance, Identify and eliminate root causes of variation, Enable data-driven decision-making.
Date & Time: 5th and 12th January 2025, 3PM to 7PM IST
Faculty : Vinothkumar Rajendran
What You’ll Learn: ✅ Basics of Control Charts: Understanding how they work and why they’re essential. ✅ Types of Control Charts: Variable charts (IMR, Xbar, Xbar S, ZMR, IMRS/R), Attribute charts (P, NP, C, U, LANEY P, LANEY U), Rare event charts (G, T) ✅ How to calculate control limits , How to draw control charts in excel and Minitab ✅ Interpreting Charts: Detecting trends, shifts, and special cause variations. ✅ Real-World Applications: Practical examples to enhance process stability and quality.
iTRACK Solutions
iTRACK Solutions
Choosing the Right Moving Average....
Use SMA for long-term, stable trends.
Use WMA or EMA when recent data is more relevant.
Use HMA or AMA for noisy or highly dynamic data.
Simple Moving Average (SMA) : https://youtu.be/p6UfbeqWPys
Weighted Moving Average (WMA) : https://youtu.be/e1lWsOP7Fu4
Exponential Moving Average (EMA) : https://youtu.be/KaoPHpNNCp8
Cumulative Moving Average (CMA) : https://youtu.be/V3RhKdlrULM
Adaptive Moving Average (AMA) : https://youtu.be/8wCNxveB6p4
Smoothed Moving Average (SMMA) : https://youtu.be/3YKBbQ4jg08
Hull Moving Average (HMA) : https://youtu.be/zm37YEeXy2s
5 days ago | [YT] | 0
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iTRACK Solutions
Are you Looking for a refresher training on #controlcharts?
we are excited to announce 8 hours online #ControlCharts Refresher Training Program!
What You’ll Learn:
✅ Basics of Control Charts: Understanding how they work and why they’re essential.
✅ Types of Control Charts: Variable charts (IMR, Xbar, Xbar S, ZMR, IMRS/R),
Attribute charts (P, NP, C, U, LANEY P, LANEY U), Rare event charts (G, T)
✅ Interpreting Charts: Detecting trends, shifts, and special cause variations.
✅ Real-World Applications: Practical examples to enhance process stability and quality.
Who Should Attend?
Quality professionals, Process engineers, Production managers, Anyone passionate about driving operational #excellence
Why Join?
Control Charts are a cornerstone of statistical process control (SPC), helping organizations: Monitor process performance, Identify and eliminate root causes of variation, Enable data-driven decision-making.
Date & Time: 5th and 12th January 2025, 3PM to 7PM IST
Faculty : Vinothkumar Rajendran
Registration link : forms.gle/5V19xqmUFbKSzksU6
4 weeks ago | [YT] | 2
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iTRACK Solutions
Registration Link : forms.gle/oX5ncMZavnjKk1ow5
What You’ll Learn:
✅ Basics of Control Charts: Understanding how they work and why they’re essential.
✅ Types of Control Charts: Variable charts (IMR, Xbar, Xbar S, ZMR, IMRS/R),
Attribute charts (P, NP, C, U, LANEY P, LANEY U), Rare event charts (G, T)
✅ How to calculate control limits , How to draw control charts in excel and Minitab
✅ Interpreting Charts: Detecting trends, shifts, and special cause variations.
✅ Real-World Applications: Practical examples to enhance process stability and quality.
1 month ago | [YT] | 1
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Looking for #LEANSIXSIGMA training.... registration link forms.gle/DUV41PVvcakwVcaN6
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Looking for #PMP training.... registration link forms.gle/CyYFdjawVi879uR78
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Looking for #LEANSIXSIGMA training.... registration link forms.gle/RwZWcdfaGgxzAcc38
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