Statistics and analytics training
 

Statistics and analytics

 

You learn to use statistics and analytics for fact-based problem solving.

We define a measurable goal, measure current situation, analyze why we are not where we want to be, solve root causes and ensure lasting results.

This course is 3 days virtual or physical classroom.

 
 

This course follows DMAIC:

 
  • Define: Understand the problem, make it measurable, and set specific goals.
  • Measure: Collect data about the current situation.
  • Analyze: Understand possible causes and prove the main ones.
  • Improve: Optimize settings using experimental design (DOE).
  • Control: Monitor key variables for lasting results.
 

Learning objectives:

 

You learn to use data analysis and visualization to answer the following questions:

 
  • What needs to be improved (define measurement) and what is the goal (specific)?
  • What is the current situation (data analysis and visualization)?
  • How do we collect data (population, sampling, confidence)?
  • How do we interpret data (center and spread)?
  • How do we visualize the current situation (Histogram, Run chart & Control charts)?
  • How do we know that the measurements are good enough (determine important characteristics)?
  • How do we choose the right improvement appraoch (SPC and capability)?
  • How can we understand and reduce variation (Control Charts with subgroups)?
  • How can we prove causal relationships (Pareto, Box plot, Scatter plot, correlation, and hypothesis testing)?
  • How do we determine optimal settings with the fewest possible experiments (DOE)?
  • How do we ensure lasting results by montitoring important variables and react properly (Control Charts)?

The course teach you how to use statistics and analytics to solve problems using DMAIC method:

 

Define

  • Problem Statement
  • CTQ's / KPI’s
  • «Operational definition»
  • Specific goals

Measure

  • Measure current situation
    • Historical data
    • Observational studies
  • Population & sampling
  • Sampling techniques:
    • Randomized
    • Systematic
    • Convenient
  • Sample size & confidence
  • Qualitative & quantitative data
    • Nominal & ordinal
    • Continuous & discrete
  • Data analysis
    • Center (average, median, mode)
    • Variation (standard deviation, range, variance)

Measure cont.

  • Data distribution
    • Normal distribution and probability
    • Skewed distribution
  • Visualization of current situation
    • Histogram
    • Run Chart
    • SPC (Control Charts)

Analyze

  • SPC (Control Chart)
    • Processvariable mapping
    • Common and special cause variation
    • Stability & capability
    • Improve capability
  • Fishbone and 5 x Why
  • Understand variation using Control Charts
    • Variation within and between sub groups
    • Quantify sources of variation
  • Measurement System Analysis (MSA)
    • Precision and accuracy
    • Repeatability and reproducability
    • Sensitivity and capability

Analyze cont.

  • Prove root causes
    • Observation
    • Turn on / off
    • Visualization with graphs
    • Hypothesis testing
  • Visualization with graphs
    • Pareto diagram
    • Box plot
    • Scatter plot
  • Correlation & regression

Improve

  • DOE (Design of Experiements)
    • Determine goal and select factors
    • Plan experiments (Fractional or full factorial?)
    • Conduct experiments
    • Analyze and implement measures

Control

  • Monitor and follow-up using Control Charts

Practical information

Courses can be arranged on request and customized to your business needs.

Your own data can be used in examples and exercises. 

Open courses are arranged according to the Course Calendar.

You can start e-learning when you want. You have access for a year and unlimited attempts to successfully complete multiple-choice exam.

Lunch, refreshments, and drinks during classroom training are included, and you receive a course completion certificate.

Location

Course location varies; check "Place" in Course Calendar.

Lean Tech is located at Igloo Innovation at SNØ (Snøfonna 5, 1470 Lørenskog) and organizes courses here.

We have an agreement with Thon Hotels and organize courses in other locations as needed.

Registration

Instructor

rsz img 3561 til sissel

Sissel Pedersen Lundeby is IASSC (International association for Six Sigma certification) accredited trainer associate:

"This accreditation publically reflects that you have met the standards established by IASSC such that those who participate in a training program led by you can expect to receive an acceptable level of knowledge transfer consistent with the Lean Six Sigma belt Bodies of Knowledge as established by IASSC."

Sissel has a Master in Chemical Engineering and more than 20 years' experience within manufacturing and environmental technology. She has practiced Lean Six Sigma since 2002, completing Black Belt projects and certification through Cytec (2004) and IASSC (2017).

She use Lean Six Sigma to create measurable results and want her course participants to be successful improving their processes. That's why her training focus on practical application.

Feedback

"Inspiring, professionally competent, popularize a theoretical discipline"

Espen Fjeld, Commercial Director at Berendsen

"Academic highly skilled and clear performance. Fun and builds trust"

Jon Sørensen, Production Manager at Berendsen

"10/10 good at reaching everyone"

Erlend Stene, Sales leader at Berendsen

"Clear and well presented. Good at asking questions and listen (check understanding)"

Morten Bodding, Production Manager at Berendsen

"Made a difference, engaged and skilled"

- Participant from EWOS

"You are inspiring, positive and professionally skilled"

- Participant from EWOS

Anonymous feedback:

"Clear presentations and well explained"

"I thought it was very rich, with good examples that made me reflect"

 

Thank you for your trust

Contact info

Lean Tech AS | Snøfonna 5

0047 481 23 070

This email address is being protected from spambots. You need JavaScript enabled to view it.

Lørenskog, Norway

Lean

L - Look for solutions

E – Enthusiastic

A – Analytical

N - Never give up

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