• Applications of statistics to Food, Drug, Biotech, Electronics, Automotive, Aerospace and more. Specific applications for supplier quality management, contract manufacturing, product release, customer feedback analysis and analysis of returned product.
• Work with teams of professionals (sites and corporate) to teach, apply and manage applications of Quality Engineering for Regulator Compliance, Corrective Action and Preventive Action, Problem Solving, Process Development and Characterization, Manufacturing, better project success rates (in other words: better adherence to schedule and faster completions, better budget performance and improved quality).
• Use my extensive experience in applied stats and problem solving to deliver major quality improvements as well as cost and delivery time improvements.
• Bring team members up to a very high level of competence in understanding and using an optimum interaction and sequence of quality improvement tools.
7 hr class: "Going beyond ANSI Z1.4; Understanding Attributes Accept.Sampling so YOU control your sample sizes." This class will allow you to set statistically valid plans and save resources too!
4 hr class: "Attributes Acceptance Sampling: Single Sample for Defectives" Learn how to make your own statistically valid sampling plans w/ or w/o reference to published standards.
Consultation & training to deliver results with qualitative & quantative tools for process improvements.
Results are developed by your team members themselves and are therefore owned by the team/employees. This enhances productivity, quality commitments and morale.
Examples:
Statistically valid sampling can be achieved by control of RQL (Rejectable Quality Level) not just AQL and often with fewer samples. Sampling concepts apply both to attributes and to variables data.
Sampling results can support confidence statements such as "Based on independent sets of samples, we can state with 99% confidence that our process-error rate is less than one in a thousand."
Measurement systems must be understood (accuracy, precision, replicates) to focus resources on the best 'bang-for-the-buck.' Compare improvements in measurements vs improvements in production processes.
Stabilize processes and then apply statistically designed experiments for improved bottom line costs.
SUGGESTED RESOURCES on the web:
PQCconsulting.com; Variation.com; SPCpress.com; and ASQ.org (Quality Engineering Certification)
