Strategic Quality Management and Process Excellence

Apply the dmaic data-driven methodology to define, measure, analyze, improve, and control processes, using tools like pdca, fmea, and spc to reduce defects and align with customer requirements.

Master the PDCA cycle for continuous improvement and learn FMEA—root cause analysis, identify failure modes, assess severity, occurrence, and detection, and calculate the risk priority number.

Apply SPC to monitor processes with control charts and limits, assess capability with CP, CPK, and PPK, and use fishbone diagrams to identify root causes for improvement.

Explore overall equipment effectiveness (OEE) as the gold standard for measuring manufacturing productivity. Identify the percentage of manufacturing time that is truly productive and learn how to reduce losses.

Identify the three overall equipment effectiveness factors—availability, performance, and quality—and explain how availability loss, unplanned stops, changeover time, performance losses, and quality losses shape net runtime to fully productive time.

Capture oee data by separating plant production time from planned production time and excluding breaks or plant shutdowns, using first-time-through quality and the ideal cycle time as the theoretical minimum.

Learn to calculate OEE as the product of availability, performance, and quality, using planned production time, ideal cycle time, and good parts to measure manufacturing effectiveness.

Define the project by selecting a pilot area, start with small scale and expand with success, identify constraints, and implement a measurement method, manual or automated, to drive OEE improvements.

The idea methodology uses information, decision, and action to identify constraints, capture lost information, choose countermeasures, and implement improvements, linking data to action for productivity gains.

Identify the six big losses driving equipment-based productivity loss and their impact on availability, performance, and quality. Learn examples such as planned stops, small stops, production rejects, startup rejects.

Adopt total productive maintenance to maximize equipment efficiency through proactive preventative maintenance, empower operators, and create shared responsibility that boosts productivity, uptime, cycle times, and defect elimination.

Explore TPM versus OEE, detailing how availability, performance, and quality losses drive production time. Learn TPM's goal of 100 percent availability and perfect production, with typical discrete-manufacturer benchmarks.

Discover the eight pillars of total productive maintenance, including focused improvement, autonomous maintenance, planned and quality maintenance, safety, health and environment, and training, to boost reliability and cut costs.

This lecture explains TPM implementation with selecting pilot area, restoring equipment to prime condition, and launching a five-year autonomous maintenance program using audits and problem solving to cut major losses.

Explore product traceability across the cradle-to-grave and farm-to-fork supply chains, tracking components from raw materials to final consumer.

Learn how product traceability in manufacturing enables tracking the history, origins of components, and production steps from raw materials to final consumer, improving safety, quality, and continuous process improvement.

Explain downstream and upstream product traceability along the supply chain, from manufacturer to consumer and back to suppliers, and discuss internet visibility and recalls.

Examine critical traceability considerations for design and implementation, enabling recalls, granular quality control, and improved efficiency across industries, while driving customer satisfaction through robust traceability programs.

Establish reliable identification and rigorous record keeping to create a traceable product history, with real-time data in a central database and verify against the bill of materials for quality control.

Improve product traceability in manufacturing with accurate record keeping of batch numbers, production dates, expiration dates, and timestamps, enabling rapid recalls, real-time monitoring, and supply chain visibility.

Explore end-to-end product traceability to enable root cause analysis, continuous improvement, value stream mapping, and production stability insights for lean manufacturing and inventory management.

Explore the purpose and use of standard operating procedures, and learn techniques to write an effective SOP for business, manufacturing, production, and testing processes, including ideal SOP contents.

Master techniques to write effective standard operating procedures for business, manufacturing, and testing processes, detailing ideal SOP contents and practical guidelines.

Identify the purpose, scope, responsibilities, references, assumptions, precautions, warnings, and required materials and equipment to create a clear, scoped standard operating procedure with well-defined roles.

Evaluate and map existing material processes to define core, support, and management processes. Draft, review, test with dry runs, and distribute the SOP with training and metrics.

Discover kaizen as a lean transformation that fuels a culture of continuous improvement, driving change for good to steadily boost quality, efficiency, and profitability.

Apply the kaizen philosophy through a continuous, long-term plan of effective events that involve all employees, creating a culture of continuous improvement and standard work practices.

Kaizen principles emphasize continuous improvement of all issues, involving everyone in problem solving through five whys to root causes, with incremental improvements that never stop.

Kaizen pdca uses a plan, check, and act cycle to develop a hypothesis for improvements, implement it, and standardize improvements when validated after root cause analysis, then repeat.

Involve employees to drive kaizen, identify and prioritize workplace problems, pilot and implement solutions, audit results, standardize successful changes, and repeat the cycle for continuous improvement.

Benchmarking compares a company's performance with best-in-class leaders to identify opportunities for improvement, using iterative, continuous improvement to raise processes, operations, and strategies toward superior standards.

Explore how benchmarking is classified into internal benchmarking, competitive benchmarking, industry-specific comparisons, and generic benchmarking to improve processes across organizations.

Identify the most effective operating practices across discrete processes, projects, and strategic benchmarks. Compare price, technical quality, speed, reliability, and performance to gauge competitive offerings.

Identify current practices and key performance factors, benchmark with internal or external leaders to analyze, compare, and drive improvements toward best practices, advanced performance, and standard breakthroughs, repeating the cycle.