Model-Based Design Maturity: Benchmarking the Automotive Industry Vinod Reddy Manager, Consulting Services

Size: px
Start display at page:

Download "Model-Based Design Maturity: Benchmarking the Automotive Industry Vinod Reddy Manager, Consulting Services"

Transcription

1 Model-Based Design Maturity: Benchmarking the Automotive Industry Vinod Reddy Manager, Consulting Services 2014 The MathWorks, Inc. 1

2 Key questions from our customers about Model-Based Design What is the current industry maturity? What are the industry trends? How do I manage organization-wide deployment? How do I compare against others? How do I improve quality of my designs? How do I minimize risk during deployment? Am I getting the full value out of my tool investments? How do I reduce waste in the development life cycle? How can I unify and streamline various processes? 3

3 Model-Based Design Maturity Framework 4

4 Focus of today s talk What is the current industry maturity? What are the industry trends? How do I manage organization-wide deployment? How do I compare against others? How do I improve quality of my designs? How do I minimize risk during deployment? Am I getting the full value out of my tool investments? How do I reduce waste in the development life cycle? How can I unify and streamline various processes? 5

5 Model-Based Design Maturity Framework Key Features Perform comprehensive measurement of capabilities Independently measure each capability Apply to any level of expertise or domain 6

6 pillar details Pillar Process Groups Requirements Language Standards Architecture Algorithm Environment/ Plant 7

7 pillar details Pillar Process Groups Requirements Process Attributes Language Standards Architecture Algorithm Environment/ Plant Partitioning Size Hierarchy Interfaces Data Data Management Scheduling Testability 8

8 Structure of the Model-Based Design Maturity Framework Pillars Process Groups Process Attributes Maturity determined by rating: 6 Pillars, 32 Process Groups, 200+ Process Attributes 9

9 Sample Assessment Results Enterprise Management ENT Simulation and Analysis Process, Tools and Infrastructure Implementation Verification and Validation

10 Industry Benchmark 11

11 Profile of the industries in the benchmark OEMs and Suppliers from all regions of the world Automotive: Passenger, Commercial, Off-Highway Aerospace: Commercial, Military, Space Other: Industrial Automation, Medical, Transportation, Electronics 12

12 Profile of the users in the benchmark Engineers: Controls, Systems, Software, Mechanical, Hardware, Calibration, Test, Process, Quality Assurance, Certification Managers: Technical, Project, Program Executives: Chief Engineer, Director, Vice-President Over 700 participants 13

13 Auto Industry Maturity: Leaders (Top 20%) Enterprise Management Simulation and Analysis 20 0 Process, Tools and Infrastructure Implementation Verification and Validation 14

14 Auto Industry Maturity: Leaders and Average Enterprise Management Simulation and Analysis 20 0 Process, Tools and Infrastructure Implementation Verification and Validation 15

15 Auto Industry Maturity: Leaders, Average, Laggards (Bottom 20%) Enterprise Management Simulation and Analysis 20 0 Process, Tools and Infrastructure Implementation Verification and Validation 16

16 Leaders achieve better cost savings and quality Data from one production project Project Size Number of requirements 11,250 LOC on program 90,000 Cost savings of 40% with Model-Based Design Traditional Development Model-Based Design Cost $12,218,843 $7,282,948 Reducing field bugs and manual work Early detection of requirements issues Field bugs 11% < 0.5% Cost savings by MBD pillar 17

17 Automotive vs. Aerospace: Leaders Enterprise Management Simulation and Analysis 0 Process, Tools and Infrastructure Implementation Verification and Validation 18

18 Industry Trends 19

19 Automotive Industry Current Trends Plant modeling to support controls development ISO certification with Model-Based Design Further automation of V&V tasks 20

20 What s next Multi-core, multi-os and multi-language code generation System-level design to perform tradeoff studies, virtual calibration and optimization Optimize and scale up: size of deployment and scope of usage 21

21 Summary Strong correlation between maturity and ROI Maturity is planned and strategic. Strong leadership with long-term vision and sponsorship Organizational culture for continuous learning and improvement MathWorks can help improve your organization s maturity and maximize ROI 22