Design for Six Sigma Black-Belt (12 days)

Background :

Problem solving is not a good alternative to take Organisation to reach to its dream in a predictable manner. Many of the problems are not due to operational failure, but ill-conceived design. Good design should anticipate future problems which can be experience by the stakeholders coming to the life cycle of the product and design the product to prevent such failures. Regular problem solving approach like Six Sigma- DMAIC or LSS, conventional approaches do not have enough strength to attack to Design and Development problems.

Design for Six Sigma (DFSS) is an approach which assembles host of design tools and methods to systematically convert ideas to good product or service or process design. There are more than 25 approaches of DFSS itself and that creates lot confusion. Hence, there is need to get clarity on the basic design process itself and take Six Sigma to upstream business process.

Who can benefit?

This program would be beneficial for Executives, Managers, Engineers, Scientists and Researchers working in area of Research and Development – R&D, Product Application and Engineering.

Certification

Training qualifying certificate by securing 70% marks in the test conducted on the last day of the course. Final Certificate will be issued after successful qualification in the test and completing one project. Till the candidate has attained all the above criteria for certification, he/ she will be awarded the certificate of participation of training.

Course Contents

• Introduction of DFSS in the context of Six Sigma for an Organisation
• Types of New product
• Define Phase: Project charter, Multigeneration Process and Multigeneration Annual Plan, Risk Mitigation Plan, Feasibility study, Voice of the Stakeholders (VoS), Consolidation of VoS to External Requirements (ERs), Classification Stakeholders' requirements and Kano Model, Freeze External CTQ Dashboard
• Measure Phase: QFD- 7 Layers, Design Scorebaord
• Analyse Phase: Transfer functions, Simulation, DFX- Design for X Family, Axiomatic design, TRIZ, Pugh Matrix, FTA-Reliability Block Diagram- Reliability Estimation- Reliability Engg., Context of Design of Experiments, Tolerance design
• Design Phase: Design levels, Control plans
• Verify Phase: Installation & Commissioning, ECTQ Dashboard
• Case studies
• Conclusion and Roadmap

Data Analytic Programs

Yesteryears’ trend suggests that the analysis of data have been more in improving operational processes like manufacturing, service provision, quality control and the likes. Literatures of data analysis are also tuned with the orientation to serve the purpose of operational excellence focused towards more of internal processes in the entire business processes. However, every businessman knows how important are the external influences on their processes and available analytical ability hardly succeeded to address the external concerns. Due to this, decisions to tackle external influences are often taken on intuition and perceptions. Many of such decisions often went counterproductive.

Current practices of developing business analytic to gather business intelligence are more focused towards tabular analysis and data visualization and less of even basic data analysis and scientific data mining activities requiring good depth of univariate and multivariate statistical techniques. Already known conclusions and wishful conclusions are presented in visual graphs and charts in many of the routinely exercised business analytic reports using quite costly `customized’ software! Discover unknown information from the available data, predict future with accuracy, and manage the knowledge of external environment impacting your business is a few key deliverables of business analytic. ISI, Pune’s Data Analysts and Miners are here to support you to reach out to these deliverables..

Who can enrole ?

Manager and above who would need to extract information from data, they routinely encounter from the areas such as Retail, Banking, BPO, IT, Sales & Marketing, Supply chain, Strategic management etc. We strongly recommend the participants to come from Mathematical and statistical background with acquaintance of data analysis software such as Minitab, JMP, R, SAS etc.

Certification

Data Analyst Certificate and ID Card will be issued after successful completion of Content Test and a Test of Presentation skill with >=70% marks in the test conducted on the last day of the session.

Course Contents

• Introduction to Data Analytic,
• Data Preparation
• Visual Analytics
• Exploratory Data Analysis (EDA)
• Classification (Regression, Logistic Regression, Tree-based modelling, ANN, SVM, Naïve Baye’s Classifier, Ensembling)
• Clustering
• Market Basket Analysis
• Time Series Analysis
• Case studies