SherTrack and AIT Group Joint Six Sigma Services

Description

For organizations with process improvement initiatives in the PLAN to PRODUCE disciplines,
SherTrack offers a unique, industry proven solution enabling the effective use of advanced Six Sigma
tools and techniques to reduce variation and operate closer to your feasible process capability limits.

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Shared by: Steven Bonacorsi
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posted:
2/10/2009
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English
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SHERTRACK & AIT GROUP 6σ SERVICES For organizations with process improvement initiatives in the PLAN to PRODUCE disciplines, SherTrack offers a unique, industry proven solution enabling the effective use of advanced Six Sigma tools and techniques to reduce variation and operate closer to your feasible process capability limits. FOR PLAN TO PRODUCE PROCESS IMPROVEMENT INITIATIVES THAT INCLUDE COMPETING & INTERDEPENDENT METRICS A UNIQUE PROCESS IMPROVEMENT TECHNIQUE THAT ENABLES EFFECTIVE UTILIZATION OF ADVANCED SIX SIGMA DOE TECHNIQUES • Shorter Lead Times Higher Fill Rates More Agile Accurately capture the physical process, planning policies and decision logic Use DOE to determine the feasible process capability and identify statistically significant cause and effect relationships Reduce implementation risk and build team consensus with realistic PLAN-PRODUCE “FLIGHT SIMULATOR” technology Accurately predict and control performance, increase efficiency and operate closer to your optimal feasible process capability • • Higher Yield Fewer Setups More Throughput More Profit Higher RONA Lower Working Capital • SherTrack and AIT Group, working with your Six Sigma team, can provide the expertise, tools and proven methodologies to execute complex supply chain process improvement initiatives in challenging, real-life environments to achieve significant performance improvements. Predict and Control Performance Increase Operating Efficiency Norco Inventory-Service Exchange Curve Inventory-Service ExchangeCurve 9,000 8,000 Identify Superior Policy Options DOE Studies – Throughput vs. Service Inventory (MM Lb) 7,000 Historical 6,000 5,000 4,000 3,000 SNAPPS 2,000 1,000 0 60% Higher Service w/ Lower Inventory 65% 70% 75% 80% 85% 90% 95% 100% Service Level WWW.SHERTRACK.COM WWW.THEAITGROUP.COM CONTACT: GREG SCHLEGEL EMAIL: GSCHLEGEL@SHERTRACK.COM SHERTRACK & AIT GROUP 6σ SERVICES Six Sigma initiatives in the PLAN to PRODUCE disciplines demand innovative techniques that effectively address challenges using advanced DOE techniques to quantify process capability, identify statistically significant cause and effect relationships, prioritize process improvement alternatives, predict the impact of changes and control sustainable process improvements. SherTrack’s Model Based Predictive Analytics enable rigorous application of advanced Six Sigma tools and techniques to reduce variation and operate closer to your feasible process capability. DEFINE PROJECT SCOPE DEFINE • • • Gain consensus on process improvement objectives Establish acceptable control targets for all performance metrics Integrate competing metrics into consolidated financial criteria MEASURE MEASURE SYSTEM PEFORMANCE • • • Identify data repositories and document measurement processes Compute operating ranges and statistical correlation/confidence Document relevant planning policies and decision rules that were active during the historical data collection period(s) ANALYZE Continuous Improvement ANALYZE OPPORTUNITIES for IMPROVEMENT • • • • Capture the physical process, planning policies and decision rules into a single integrated Digital Model of the process Correlate operating performance with historical records Determine feasible process capability, statistically significant cause-effect relationships and sensitivity to external factors Evaluate and compare alternative process improvement scenarios IMPROVE IMPLEMENT TARGETED PROCESS IMPROVEMENTS • • • Select prioritized process improvements and define target range(s) for predicted KPI/CTQ performance Use “FLIGHT SIMULATOR” to perform What If analysis, gain team consensus and reduce implementation risk Use Predictive Modeling and Predictive Analytics as decision support for process improvement activities as appropriate CONTROL MONITOR AND CONTROL • • • • Monitor performance against Model Predictive Control baselines Continuously update probability models, policies and constraints Track adherence to policies, isolate exceptions and identify the presence and influence of external factors Identify and prioritize incremental improvement opportunities CONTACT: GREG SCHLEGEL EMAIL: GSCHLEGEL@SHERTRACK.COM WWW.SHERTRACK.COM WWW.THEAITGROUP.COM

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