Dates:
12th September, 2023 - 21st September, 2023 (4 days)
Duration: This course is run over 4 webinars (two mornings per week over 2 weeks, each of two 3 hours duration, with short breaks).
Location: Online
Accreditation: Certificate of Attendance
Full Fee: €500
Course code: PACOL
Programme overview
The ability to analyse and control performance is an essential requirement for the effective management of processes that deliver value to customers. Process control involves observation, data collection, tabulation, graphical representation, and both qualitative and quantitative analysis.
This online course aims to give participants a solid grounding in data collection, graphing and basic analysis techniques. Participants will be introduced to the Minitab statistical software application and will learn when and where to use analysis techniques in order to aid decision-making. It will enable participants to develop standards with regards to data collection, analysis, and reporting appropriate for their processes.
The course is run over 4 webinars, each of three hours duration, with short breaks. 12 hours in total. It is facilitated using live webinar, case studies, quiz, Q&A and assignments. Participants are required to spend an additional one hour per module on the assignment work. The assignment work is completed between modules.
Follow on courses:
Design of Experiments (DOE) online course
Who is the course for
The course is designed for a broad range of operations, engineering and quality personnel who need to use data collection & analysis methods on a regular basis in the workplace. Prior to participating, participants should have a basic knowledge of statistics. A foundation webinar can be arranged for those who need a grounding in statistics before the course commences.
Learning outcomes
At the end of the course attendees will:
- Understand data types and the importance of appropriate data collection methods;
- Understand the importance of validating measurement systems;
- Understand how to assess the statistical influence one or more input variables may have on an output variable;
- Understand when and where each statistical tool is best applied, and
- Be able to use Minitab as an everyday tool in support of data analysis and control.
- Deliverables
- Participation in live interactive webinars with case studies and Q&A.
- A recording of each webinar for future use by participants.
- Soft copy presentation files, with data sets and case studies, for future use by participants.
- On completion of all 6 modules in the series, participants will be awarded a certificate of completion.
Course Content
| Online programme: 4 modules x 3 hours each | |||
| Webinar # | Proposed time & Date | Content | Assignment |
| 1 | 9:00am | Introductions | No assignment – data provided for offline work (optional) |
| 3 Hours | Tuesday, 12th September, 2023 | Data types & data collection, Introduction to Minitab, Worksheets & displays, menu features, importing and saving files, data sets & interactive exercises | |
| Introduction to measurement systems analysis (MSA) | |||
| Graphing techniques: run, Pareto, box plot | |||
| Layout tool & exporting graphs | |||
| Assignment | |||
| 2 | 9:00am | Assignment review & quiz | No assignment – data provided for offline work (optional) |
| 3 Hours | Thursday, 14th September 2023 | Introduction to descriptive statistics, measures of location – mean mode & median, data sets & interactive exercises, measures of spread – range, standard deviation & variance | |
| Properties of the normal distribution, Z scores and prediction, other common data distributions | |||
| Assignment | |||
| 3 | 9:00am | Assignment review | No assignment – data provided for offline work (optional) |
| 3 Hours | Tuesday, 19th September 2023 | Scatter plots & simple linear regression, the regression equation, measuring the strength of the relationship, the residuals patterns | |
| Correlation, causation & prediction, confidence intervals & prediction intervals | |||
| Assignment | |||
| 4 | 9:00am | Assignment review | No assignment – data provided for offline work (optional) |
| 3 Hours | Thursday, 21st September 2023 | Multivari analysis | |
| Process observation and sampling plans, control vs. capability, calculating control limits, statistical process control for individuals | |||
| statistical process control for samples, out-of-control conditions, control plans | |||
| Statistical process control for attribute data. | |||
| Minitab Assistant, review of course contents and troubleshooting participant process problems. | |||
| 12 hours | Total contact time | ||
Trainer Profile
Bernadette Rushe, BSc Hons (Biochemistry & Maths), Dip SA, CPIM, MSc, ASQ Certified Six Sigma Black Belt
Lean Ireland
Bernie has been involved in the management of supply chain and business process improvement activities for over 30 years. She has designed and delivered hundreds of courses in process improvement and data analysis, from beginner to advanced levels. Bernie lectures in statistics in the Advanced Quality Management masters’ course at the University of Limerick. She holds a first class honours masters’ degree in supply chain management.
