Certificate in Quality, Productivity and Cost Optimization Using AI

Program Overview

Quality and cost improvement methods such as Lean, Six Sigma and statistical process control become far more powerful when combined with machine learning and process analytics. This course shows how to use AI to predict defects before they occur, detect process drift, discover bottlenecks through process mining, forecast demand and capacity, and identify cost leakage in spend and operations data. Participants work through the DMAIC cycle with AI tools at each stage, learn to quantify savings credibly, and address data quality, validation and change management so that improvements are sustained in manufacturing, service and government operations.

Learning Outcomes

• ✓Apply AI techniques within each DMAIC phase to define, measure and analyse a quality or cost problem.
• ✓Build a predictive quality model that flags likely defects or non-conformances from process data.
• ✓Use process mining to identify bottlenecks, rework loops and deviations in a transactional process.
• ✓Analyse spend and operating cost data with AI to identify savings opportunities and cost leakage.
• ✓Quantify and validate productivity and cost benefits using baselines and control charts.

Target Audience

• Quality managers and quality engineers
• Operational excellence and Lean Six Sigma practitioners
• Production and operations managers
• Cost controllers and business performance analysts

Detailed Program Modules

Training Methodology

Applied Project & Assessment