The New Toolkit for Continuous Improvement webinar presentation slides
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A detergent production plant used a DMAIC approach to improve the solubility of a new eco-labeled detergent product. In the measure phase, they analyzed test result data and found the process was not stable or capable. The analyze phase identified mixing speed and equipment used as having strong impacts on concentration. A regression model and decision tree uncovered that concentration was too low with low mixing speeds or non-preferred equipment. In the improve phase, they established a benchmark and plan using the preferred equipment. Monitoring then confirmed the improvements reduced defects by 50% as intended.
The New Toolkit for Continuous Improvement webinar presentation slides
- 1. Mark Ellis Minitab EMEIA Integrated Marketing Specialist The New Minitab Toolkit for Continuous Improvement Gillian Groom Minitab EMEIA Technical Training Specialist Our Presenters
- 2. © 2019 Minitab, LLC. 2 Who Uses Minitab?
- 3. © 2019 Minitab, LLC. Minitab: Your Partner in Your Analytics Journey Software Services Training Learn first-hand by attending public or customized trainings in your facilities according to your requirements. Statistical Consulting Personalized help with statistical challenges from collecting the right data to interpreting analysis more. Support Assistance with installation, implementation, version updates and license management. Master statistics and Minitab anywhere with online training Tools and reporting to ensure process and product excellence. Machine Learning and Predictive Analytics software Powerful statistical software everyone can use. Data Analysis Predictive Modeling Project Oversight Online Stat Training 3
- 4. © 2019 Minitab, LLC. Throughout her career, Gillian has been applying statistical analysis to guide informed management decisions on business opportunities or problems. Gillian has a Master's Degree in Probability and Statistics from Sheffield University. Meet the Presenter: Gillian Groom Technical Training Specialist, Minitab 4
- 5. The New Minitab Toolkit for Continuous Improvement
- 6. © 2019 Minitab, LLC. Detergent Improvement Project A detergent production plant needs • Stabilize the performance of its new dedicated production line of eco-labeled detergents • Improve the solubility of this new product. Using a Classic DMAIC Approach to Manage The Project
- 7. RECORDING: Watch the video online >> TALK TO MINITAB: Discuss your specific analytical and CI initiative >> FUTURE WEBINARS, EVENTS AND ONLINE RESOURCES: Webinars >> Events >> Tutorial Videos >> Datasets >> Training Options >> Customer Case studies >> Articles on Minitab Blog >> Learn more at Minitab.com >> Webinar resources:
- 8. © 2019 Minitab, LLC. Define Business Understanding • Document the project in a project charter • Determine key stakeholders • Establish initial goals and benefits • Define resources– IT, Process Engineer, Blackbelt • Define the project– Determine and address the cause of lack of stability during washing tests • Establish metrics that measure the success of the project– Defect reduction of 50% • List assumptions and risk factors– Biggest risk factor was the ability to get the right data
- 9. © 2019 Minitab, LLC. Define Map your processes
- 10. © 2019 Minitab, LLC. Measure Data Understanding • Select the variables and records and aggregate and clean data– Data from different databases, determine applicable date range • Note issues with collection methods for the data • Verify validity and quality of the data • Characterize the current status of the variable of interest
- 11. © 2019 Minitab, LLC. Measure Gage R&R Gage R&R results are good: Within the 10% guideline for measurement fluctuations compared to overall fluctuations
- 12. © 2019 Minitab, LLC. Measure Statistical Summary Data from washing sample test results: Normally distributed 1st Quartile 86.308 Median 88.088 3rd Quartile 89.636 Maximum 93.780 87.696 88.304 87.805 88.369 2.195 2.627 A-Squared 0.20 P-Value 0.877 Mean 88.000 StDev 2.392 Variance 5.722 Skewness -0.121603 Kurtosis -0.193540 N 240 Minimum 81.139 Anderson-Darling Normality Test 95% Confidence Interval for Mean 95% Confidence Interval for Median 95% Confidence Interval for StDev 94929088868482 Median Mean 88.488.288.087.887.6 95% Confidence Intervals Summary Report for Test results
- 13. © 2019 Minitab, LLC. Measure Baseline Capability Soil removal needs to be as uniform as possible whatever water hardness, type of washing machine, wash loads … Capability is poor. Solubility test results often below the lower spec: 85
- 14. © 2019 Minitab, LLC. Measure Baseline Control Chart Special / Assignable causes impact the process These causes need to be identified Process is not in control (many out of control points) 464136312621161161 92 91 90 89 88 87 86 85 84 83 Sample SampleMean __ X=88.000 UCL=90.588 LCL=85.412 1 1 1 11 1 1 Xbar Chart of Test results
- 15. © 2019 Minitab, LLC. Analyze Modeling/Evaluation • Explore data and make initial observations about relationships between variables • Select modeling technique(s) • Build model(s) • Assess model(s) • Interpret final model • Discuss model results with key stakeholders Select modeling technique(s) Build model(s)Assess model(s)
- 16. © 2019 Minitab, LLC. Analyze Identify Key Input Use Brainstorming to try to identify key inputs
- 17. © 2019 Minitab, LLC. The impact of the concentration on solubility results after washing cycles is confirmed by data analysis Analyze Regression
- 18. © 2019 Minitab, LLC. Analyze Root cause identification Mixing Speeds and using equipment CL have a strong impact on concentration. Concentration is too low when Mixing speed are low and equipments other than CL are used.
- 19. © 2019 Minitab, LLC. Improve Model Deployment • Establish an improvement plan : benchmark based on CL tool • Implement the changes • Validate results with new data • Establish a monitoring and maintenance plan • Set schedule to verify that model results have not changed • Update model when changes occur • Present project results to key stakeholders • Close out project
- 20. © 2019 Minitab, LLC. Improve Capability Comparison Compare quality performance before and after improvement
- 21. © 2019 Minitab, LLC. Control Control chart Monitor mixing speed so that adjustments can be made when Mixing speed reaches low values.
- 22. © 2019 Minitab, LLC. Detergent Case Study Conclusions • Companion provided the framework to manage the project • In the Measure Phase we used Minitab to Check data quality Provide the baseline to measure any improvements • Companion provided the tools to document results from brainstorming and C&E Analysis
- 23. © 2019 Minitab, LLC. • Minitab and Salford Predictive Modeller used in Analyse Phase Regression modelled the relationship between concentration and Solubility Data available to identify “best” manufacturing process for our concentration requirements not suited to regression CART decision tree quickly identified the manufacturing settings required. Machine learning tools uncovered relationships that may have been missed otherwise, due to size and complex relationships in the data • Minitab Analysis used in Control stage of project Detergent Case Study Conclusions Events >>Events >>
- 24. RECORDING: Watch the video online >> TALK TO MINITAB: Discuss your specific analytical and CI initiative >> FUTURE WEBINARS, EVENTS AND ONLINE RESOURCES: Webinars >> Events >> Tutorial Videos >> Datasets >> Training Options >> Customer Case studies >> Articles on Minitab Blog >> Learn more at Minitab.com >> Webinar resources:
- 25. THANK YOU! See you soon! Minitab.com >>