PRESENTED BY: Navjot Sandhu

1. PRESENTED BY: NavjotSandhu The Innovator’s Toolkit- Techniques and tools for optimizing and finalizing designs

2. Agenda • Objectives • Process Capability • Predict the performance of your new solution • Robust Design • Make your design insensitive to uncontrollable influences • Design Scorecards • Develop a dashboard to track your design and its underlying processes • Discrete Event Simulation • Visualize and test your innovation through computer modeling

3. Agenda • Rapid Prototyping • Make a fast 3D model of your solution to explore its viability

4. Managerial challenge • Streamlining a products creation process to meet upper management demands, customer demands, and engineering guidelines • Create an infrastructure so products can be designed and tested quickly using repeatable processes and tools

5. Objective • Use tools to produce a design into a workable model that can be tested, while tracking changes and progress

6. Agenda • Objectives • Process Capability • Predict the performance of your new solution • Robust Design • Make your design insensitive to uncontrollable influences • Design Scorecards • Develop a dashboard to track your design and its underlying processes • Discrete Event Simulation • Visualize and test your innovation through computer modeling

7. Process capability • Engineers need to compare how well a design meets it’s performance expectations. • In the realm of innovation, we want to focus on predictive use. • Helps improve designs

8. Process capability - Steps • 1. Determine specifications • Come from customers, engineering calculations, or pre-evaluation • Make sure specifications are clear and unbiased • 2.Collect Appropriate Data • Quantitative data – Can be either short or long term (variable data or numbers) • Qualitative data- yes/no, a particular color

9. Process capabilities - steps • 3.Calculate Capability Metrics • Measure for central tendency’s • Helps to determine where the specifications of a product should lie • 4.Improve the Design or Process • Make it more robust to input variation • Tighten tolerances of specifications and its related processes for better performance

10. Process capabilities Moment of truth • Discussion • Examples • Bank is testing a new a kiosk for that provides customers with rapid approvals on refinancing mortgages • Measure customer reactions between request/information received – determined information should be displayed within 2 minutes. They expect .6 percent of customers to have wait time more than 2 minutes. If pressured with competition, they can redesign the kiosk to provide more information such as credit score, dollar amount of loan, etc…

11. Agenda • Objectives • Process Capability • Predict the performance of your new solution • Robust Design • Make your design insensitive to uncontrollable influences • Design Scorecards • Develop a dashboard to track your design and its underlying processes • Discrete Event Simulation • Visualize and test your innovation through computer modeling

12. Robust design • Helps reduce sensitivity of the innovation to uncontrollable noise variables. • Variation will occur through the lifecycle of the design through normal wear and tear. • Robust design helps predict the undesired behaviors of a design to minimize customer disappointment.

13. Robust design • In order to do this you need help from an experienced engineer and also have to know about the following techniques: • Performance and Perception Expectations • Axiomatic Design • Matrices of customers needs. • Design FMEA (Design Failure Mode and Effects Analysis) • Measurement of potential design errors • Design of Experiments • Design of all information gathering exercises where variation is present

14. Robust design - Steps • 1.Identify Customer Expectations • 2.Develop Conceptual Design • Create a high level design • 3.Identify Control Factors and Noise Variables • 4.Identify Potential Deterioration • Normal wear and tear, component wear down • 5.Experiment and Determine Optimum Design • 6.Determine Detailed Design Tolerances • Determine specifications that the design needs to operate within

15. Robust Design Moment of Truth • Discussion • Examples

16. Agenda • Objectives • Process Capability • Predict the performance of your new solution • Robust Design • Make your design insensitive to uncontrollable influences • Design Scorecards • Develop a dashboard to track your design and its underlying processes • Discrete Event Simulation • Visualize and test your innovation through computer modeling

17. Design scoreCards • Helps keep track of changes and progress • System Performance – Predicts how the overall design will perform against its expectations • Component Performance-Predicts of the performance of individual key components that affect overall system performance • Process Performance- Predicts the overall quality level of key processes that produce the product or deliver the service. • More robust a scorecard, more likely a problem can be fixed before customer dissatisfaction occurs

18. Design scorecards - Steps • 1. Identify the Critical Parameters of the Performance Score Card • Identify all relevant customer expectations for your design • For each expectations, identify the :i) type of variable(discrete, continuous) ii)measurement unit • Continous indicators are tracked by their mean and standard deviations • Discrete indicators are tracked by looking at their success rate

19. Design Scorecards - steps • 2. Determine Target and Specifications Limits on Performance Parameters • Obtained from customer input, regulatory requirements, or design functional requirements • Three scenarios apply: • i) more is better • ii) less is better • iii)achieve a specific target

20. Design scorecards- steps • 3. Predict the Performance Indicators • Predict what values the indicators should be, then these will be later compared to actual values • 4. Build the Overall and Individual Component Scorecards • Identify the critical components that significantly influence the overall system performance. • Identify their critical inputs ( weight, mass, area, etc..)

21. Design scorecard - steps • 5. Build the Overall and Individual Process Scorecards • Identify the critical manufacturing and/or service delivery processes and sub-processes • Build a score card for each critical process • 6. Interpret the Scorecard • Analyze the scorecards after there is enough data on them • Determine how much and what components and processes effect the overall performance the most • Consider what improvements can be made and where

22. Overall system performance score card

23. Overall Component scorecard

24. Component scorecard

25. Overall process scorecard

26. Process scorecard

27. Design scorecardsmoment of truth • Discussion • Examples

28. Agenda • Objectives • Process Capability • Predict the performance of your new solution • Robust Design • Make your design insensitive to uncontrollable influences • Design Scorecards • Develop a dashboard to track your design and its underlying processes • Discrete Event Simulation • Visualize and test your innovation through computer modeling

29. Discrete event simulation • Computer based modeling approach that allows the simulation of scenarios • Saves time and money • Has to be done correctly in order to model real world situations accurately

30. Discrete event simulation- steps • Choose software • AutoMod, SigmaFlow, ProcessModel, Arena, iGrafx • Vary in cost and features • Develop process flow • Create process maps • Include sub-processes, decision points, and queues • Assign process attributes • For each process step, enter associated attributes which could affect the process flow or outcome

31. Discrete event simulation - steps • Determine resources and attributes • Determine the resources of the processes and sub-processes • Determine process entities and attributes • Determine the entities and their associated attributes that will be a part of the processes • Run trial simulations • Look for deficiencies in logic

32. Discrete event simulations - steps • Run actual simulations • Run simulations while varying attributes and values • Verify results • Build a prototype to verify design

33. Discrete event simulationmoment of truth • Discussion • Examples

34. Agenda • Rapid Prototyping • Make a fast 3D model of your solution to explore its viability

35. Rapid prototyping • Creates a 3-dimensional model of a new innovation or product design • Use this when design needs to be assessed by designers and manufacturing engineers • Need the following • CAD • Rapid Prototyping Machine

36. Rapid prototyping • Three techniques available • Formative • Turn raw material into the desired shape • Subtractive • Start with a large solid, then remove material to obtain desired shape • Additive • Layer material over and over until desired shape and position is acheived

37. Rapid Prototyping - steps • Input CAD data • Create a computer design with the correct dimensions and attributes of your prototype • Export Data into Stereolithography Files • Export CAD file into an .stl file • Select Material and Specify Process • Depending on machine, we need to select the material • Thermoplastic resins, polycarbonate, wax, powdered materials, plastics, metals • Stereolithography technique-stacks horizontal slices on top of one another

38. Rapid Prototyping • Create Rapid Prototype • Clean and Finish the Prototype

39. Rapid prototyping • Discussion • Examples

40. Lessons Learned • Turning a design into a product requires patience, know how, experts, and expertise • There are tools available that help cut costs, streamline processes, analyze designs, and allow for organized documentation of details • Most great products need to be designed, tested, and then redesigned

41. Thanks