Speaker: Robert Lloyd, President Lloyd Consulting Group, Inc.
Bob is a Stanford-trained innovator and change agent, passionate about successfully deploying and leading strategic initiatives. His focus has been in customer-centered design, operational excellence and Agile development across consumer products and many sectors on an international basis with an impact of over $2 billion. At Motorola, Bob was trained in Shainin Methods directly by Dorian Shainin and Keki Bhote. This approach was used by Motorola to improve product reliability six-fold continuing to drive reliability to 1 million hours mean time between failures (MTBF). This allowed Motorola to beat all 5 Japanese competitors in cost, quality, performance, and on-time delivery to become the largest seller of radios in Japan. As Motorola Director of Product Reliability, Bob used Shainin Design of Experiments (DOE) methods to design a test that reduced product time-to-market by over 2.5 months, identified three times more correlated field issues, eliminated costly Engineering Change Orders, and slashed field failures and warranty costs by more than half. This test was institutionalized across Motorola for an impact exceeding $1 billion. At an ASQ World Conference Bob presented “Field Failure Analysis & Root Cause Pattern Diagrams” related to a graphical data mining technique by applying the Shainin practice of looking for data patterns.
Shainin Methods also known as Statistical Engineering and Shainin Systems™ is a problem-solving approach championed by Dorian Shainin (former VP and Executive Secretary of ASQ in the 1950s and 1970s and first winner of all four top ASQ medals). Shainin Methods is based on inductive reasoning, unlike Six Sigma that uses a deductive approach. It is structured as a direct and simpler approach to identifying root causes and their solutions. As a standardized problem-solving approach its main principles are to:
- Use convergent techniques to quickly narrow the focus
- Use simple comparison tools to quickly identify root causes
- Not rely on the use of heavy statistical software and training
- Allow use by employees at all levels, including the front line
- Need relatively smaller sample sizes (applicable to more firms)
Networking starts at 6:45, presentation starts at 7:00