Statistical Thinking for Operational Improvement
Introduction:
This 2-day course will teach operational staff to understand the strategic value of data and statistics in
solving real operational problems. The training will proceed from tangible examples to abstract theory; from the
big picture or "whole" to details or "parts" and from a conceptual understanding to ability to perform specific
tasks. The role of statistical thinking and methods for problem solving and process improvement will be discussed
to encourage use of the tools. Participants will learn the skills to improve operational processes, including
collecting data appropriate for a specified purpose, recognizing limitations in existing data, graphically
analyzing data using basic tools, deriving actionable conclusions from data analyses, and understanding the
limitations of statistical analyses.
Duration: 2 Days
Target Audience:
Operational personnel from both the manufacturing and service (including banking and finance, logistics,
healthcare, government and public service) sectors.
Programme Objectives:
- To take a "teach by example" approach, using real, sequential case studies from the business world to
motivate and illustrate topics and make them memorable.
- To present the "big picture" (i.e., overall approaches to operational improvement) first so that
participants will understand why they need statistical thinking and methods and what these tools can do for
them.
- To demonstrate that statistical thinking and methods are key to operational improvement, by utilizing the
powerful information contained in data.
- To address the fact that most real operational applications occur in a dynamic process, rather than a
static population. Assumes a "dynamic process" rather than "static population" context for data throughout the
course.
- To teach and illustrate fundamental concepts, such as the importance of a process viewpoint, the
omnipresence of variation, the need for understanding, quantifying, and reducing variation, how to integrate
individual tools into an overall approach to improvement, the value of good data, and the need to integrate
data with subject matter knowledge.
- To relegate calculation to the computer, freeing participants to develop their understanding of the
concepts behind the proper application of statistical methods.
- To develop learning and practical skills in data analysis by involving participants directly in applying
material to real problems.
Programme Outline:
- Statistical Thinking Concepts
- The Need for Operational Improvement
- The Overall Statistical Thinking Approach
- Understanding Business Processes
- The SIPOC Model for Processes
- Identifying Business Processes
- Analysis of Business Processes
- System of Processes
- Improvement Strategies and Basic Tools
- Problem Improvement and Problem-Solving Strategies
- The Process Improvement Strategy
- The Problem-Solving Strategy
- Process Improvement and Problem-Solving Tools
- Overview of Formal Statistical Methods
- Relationship of the Tools to the Strategies
- Data Collection Tools
- Data Analysis Tools
- Using the Tools Interactively to Achieve Continual Improvement
- Exploring Control Charts for Continual Improvement
- Common Cause Variation
- Special Cause Variation
- Structural Variation
Contact Us
Contact us today for a non-obligatory discussion on our Statistical Thinking
for Operational Improvement training and customisation of the training programme for your organisation:
Email:
Tel: (65) 68484109
When making an enquiry by phone, please leave your name, company name, contact number and email address for us
to respond to you. Your email address will be required in the event that you are unavailable when we attempt to
contact you by phone. We respect your privacy and all information will be kept strictly confidential. We will not
share or trade your contact information with any third parties.
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