Quality Methods & Tools Masterclass: Boosting Performance

Explore the golden circle approach to solving manufacturing problems by applying quality tools from quality matrix and target chart to fishbone diagram, MSA, hypothesis testing, design of experiments, and FMEA.

Build an accepted process environment through leadership, the PDC cycle, and targeted visualization, guided by seven objectives to apply the polluter pays principle and sustain the golden cycle.

Explore the effective quality tools, including the quality matrix and target-actual chart, to map failures from the shop floor to process steps, prioritize top failure classes, and visualize improvement opportunities.

The Pareto diagram advanced reveals top issues and their performance. Management and area team members assign responsibility, track status with traffic-light indicators, and plan countermeasures with fixed dates.

develop a one-pager report (8d report or a3 sheet) for root-cause analysis, corrective actions, and lessons learned to prevent future failures and boost performance.

Learn how to measure improvement using target-actual charts by comparing failures before and after countermeasures, ensuring valid observation periods and accurate effectiveness calculations.

Use a check sheet to collect real-time failure data by location or machine, and a histogram to reveal root causes and diameter distribution against a 20 micrometer tolerance.

Explore the cause and effect diagram, known as Ishikawa or fishbone, a quality tool that maps failure causes across machines, methods, people, materials, environment, and measurements using the 5w2h approach.

Explore process capability by evaluating the normal distribution's sigma and mean. Calculate potential cp and actual cpk using a 0.02 mm specification width, revealing a cpk of 0.78.

Compare a higher actual process capability when the diameter distribution is centered, using cp and six sigma calculations to evaluate three-sigma spread and improvement.

Learn to identify random variation and intervene using SPC diagrams and control charts, applying intervention rules such as points outside control limits and runs or trends in the data.

Examine how the correlation diagram reveals the relation between input x and output y, highlighting a strong positive correlation (r = 0.973) and a p-value near zero, indicating significance.

apply measurement system analysis (msa) in the plan phase to validate data, quantify measurement variation, and address bias, stability, linearity, and reproducibility to improve measurement capability.

Analyze bias and stability in measurement systems, examine repeatability and reproducibility, and apply countermeasures such as calibration, maintenance, and operator training via gauge r&r experiments.

Learn hypothesis testing basics by defining the null and alternative hypotheses, collecting data, and deciding if observed differences reflect random variation or a true difference, highlighting power above 90%.

Apply design of experiments (DoE) to identify factor combinations for minimizing cracks, using three factors at two levels each and eight runs, with polymer concentration as a key influence.

Explore failure mode and effects analysis basics, including risk priority number, severity, occurrence, and detection, and learn to identify failure modes and implement countermeasures.

Learn to apply a broad set of quality tools—target-actual charts, quality matrices, radar diagrams, and countermeasure analysis—to drive learning, prevention, and effective problem solving.

Explore the next steps of the golden cycle, applying quality tools to analyze problems, implement solutions, standardize controls, and prevent failures in manufacturing. Learn the three problem-solving steps.

Execute problem solving with technical support and implement solutions using process control. Standardize the results to prevent failures and reference industry processes like dye casting and heat treatment.

Apply the golden cycle with quality tools like the quality matrix, target-actual diagrams, cause-and-effect analysis, DOE, and E or FBR to analyze root causes and prevent manufacturing failures.

Explore the golden cycle's problem solving with technical support, covering defining problems, analyzing goals, planning resources, root-cause analysis, and implementing and standardizing solutions to prevent failures.

Develop and evaluate ideas to solve problems using brainstorming, creative thinking methods, the theory of inventive problem solving, morphological analyses, affinity diagrams, SWOT analysis, and corrective action planning.

Describe a corrective action plan detailing the problem, action steps, deadlines, responsibilities, costs, and metrics, plus a weekly maintenance plan, and introduce poka ioka with fail-safe and visual controls.

Technical support unlocks new thinking and helps solve manufacturing problems by asking for help and sharing knowledge across processes like casting, heat treatment, welding, and precision measurement.

Implement a series of measures and evaluate them with process control, MSA, control charts, and sampling plans to ensure quality and compliance with AP and PCP guidelines.

Standardize the solution to prevent failures by training operators and applying FMEA, SPC, and control charts across the golden cycle.

Explore die casting of aluminum chassis parts, reduce cavity rejects using a cause-and-effect diagram, standardize rework, improve communication, and train to achieve 47% reduction in rejects in six months.

Explore inductive hardening of gear wheels and the related process chain, diagnosing cracks caused by internal and heat stresses from uneven cooling and polymer concentration in the cooling medium.

Improve gear wheel manufacture through inductive hardening and broaching by analyzing routing process, reducing geometry variance and uneven temperature distribution, and standardizing tool recording to control surface roughness and cracks.

Analyze the root cause of cast iron thread cutting failures using a fishbone diagram. Identify a weak factory foundation causing excessive cutter forces and apply deep foundation stabilization with boreholes.

Apply the 5w2h method to the bonding of a battery cover, exploring who detected failures, when and where components meet, and conditions to prevent leakage.

Improve heat treatment for allen keys through an annealing process using carbon fiber reinforced fixtures, boosting furnace loading and improving hardness, dimensional accuracy, and cycle efficiency.

Explores solving manufacturing problems quickly and sustainably via steps 3 to 5 of the golden cycle, reducing rejects and rework, boosting output, and enhancing customer satisfaction and profit.

Apply the golden cycle’s five steps to organize the process environment, analyze problems with quality tools, solve, implement, and standardize to prevent failures through continuous learning.