tata products design
TRANSCRIPT
Systems Engineering
For
Automotive Development
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Accelerating product introductions
Rapidly implementing changes
Improving time-to-market
Tightening Regulatory requirements
Efficiently transferring processesand best practices
More innovations
Automotive Challenges
Strategies
To meet these challenges, the automotive companies adjust their productdevelopment as follows:
Reducing the period of development
Optimizing the in-house capabilities
Modularizing the product
Increasing the number of products/ variants
Improving product performance i.e. Durability, NVH, Safety, andRide quality
Some of the steps connected to these strategies are
Introduction of new working methods
(Simultaneous Engineering, Concurrent Engineering, use of NPIprocess)
Usage of highly sophisticated functions of CAD systems
(Parametric, Feature based Design, Digital Mock Up)
Early concept evaluation
(Computation and Simulation)
Key elements
Some of the key elements to fulfil their objectives required by the globalcompetition are –
Integrated System to facilitate real-time connectivity among varioussystems, data and processes within and across the value net, provideconnection to partners, suppliers and customers, and enable active datamining and decision support.
CAD / CAM / CAE Systems
PLM Systems
ERP Systems
Visualization System to enable all the people involved in vehicledevelopment to have an accurate and real-time view of work-in-progress.
Knowledge Based Engineering System to transform superior know-howinto new technology, and thus generate value from it.
Traditional Evolutionary
environment
Systems Engineering
Automotive Systems Engineering
Automotive Systems Engineering is an integrated approach, thatcombines the product, process and resource view.
It is a logical sequence of activities and decisions that transformsrequirements to a description of the system configuration
It includes design, analysis and testing of the solution at the variousstages of the development process, i.e. system verification andvalidation.
It also includes planning and controlling the development process withits engineering and management aspects
The systems Engineering process is applied at levels of more and moredetails, i.e.
Systems
Sub-systems
Sub-sub-systems
Components etc
Executive
Director
Project
Office R&D HeadOperations
Head
Marketing
HeadProject
manager
A1
A2
Functional
reps
dedicated to
Project
The Project Organisation
Business Unit Head
Core Team
Members
Head Projects
Office
Project Team
Leader
R&D Manufacturing Marketing
Project Team Members
The Project Organisation Structure
Digital Vehicle Program
Year3Year2Year1 M01M02M03M04M05
M12M11M10M09M08M07M06M05M04M03M02M01
M12M11M10M09M08M07M06M05M04M03M02M01M12M11M10M09M08M07M06M05M04M03M02M01
Year3Year2Year1 M01M02M03M04M05
M12M11M10M09M08M07M06M05M04M03M02M01
M12M11M10M09M08M07M06M05M04M03M02M01M12M11M10M09M08M07M06M05M04M03M02M01
Strategy
Review
Concept &
Project Approval
Design
Release
Production
Release
Volume
Release
Project
Review
R2 R4 R5 R6R3R1 VOL
Product Strategy &
Concept Evaluation
Concept
Development &
Business Case
Product Design & Validation Productionisation Pre-production Ramp-up
Concept
Selection
Styling
Packaging
Product Specification & Vehicle Design
BIW Design
Pre Production Vehicle Manufacturing & Testing
Manufacturing Process
Production Tooling
Vendor Selection / Vendor Tooling DevelopmentVOL
Concept to Manufacturing - Digitally
IdeaI
ProductionIV
DesignII
PlanningIII
Product
Design
One Step
Analysis
Draw Surface
Development
Incremental
Analysis
(OPTRIS )
OPTRIS results
Transformed with
Hyper Works
DYNA_IN utility
Crash
Analysis with
LS-DYNA
Final
Optimised
Product Design
Product Design Optimization Workflow
Visualization : Optimization using Digital Mockup
Ability to handle large data in real time
Project Reviews with Marketing and Dealers
Packaging studies and distribution of weight
Manufacturing & Service feasibility for access
of tools and ease of assembly
Try out various configurations / variants to
create base platform
Knowledge Based Engineering System : KNEXT ©
KNEXT© is Next Generation Knowledge Based Engineering (KBE) System that
helps the organization in various stages of product life cycle such as
Conceptualization
Detail Design
Manufacturing Planning
Trouble shooting in prove-out
Sales
( KNEXT kernel is based on a specially designed language - Object Definition
Language, proprietary of TATA Technologies Limited )
KNEXT is used to
Capture Best Practice
Integrate Engineering Tools and Processes
Reduce Cost / Weight
Improve Performance and Quality
Shorten Design Cycle
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Summary : System Engineering Challenges
From component design to complete vehicle integration
When individual components are initially brought together, there areoften assembly problems
From local task optimization to end-to-end throughput
Optimization of an individual process will not necessarily improve theproductivity of an overall development process
From departmental organization to extended enterprise integration
More and more of a vehicle is designed and produced by suppliers andpartners of a vehicle manufacturers rather than an OEM itself
From individual performance to collaborative team work
By sharing component information within a team even before designcompletion, others can start working earlier
From individual know-how to “learning enterprise”
The industry looks to implement mechanisms which capture anddistribute expertise and even detect expertise being applied.
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