Infosys - Reuse designs and components across the automotive portfolio

Overview

The Infosys Automotive practice leverages digital technologies to address goals of product development: robust product portfolio, high quality benchmarks, shrinking lifecycle, mobility trends, and reduced waste as well as pollution. Our cross-industry experience in product engineering across mechanical, electronics and software platforms enables rapid prototype building and validation. Further, it enables a ground-up approach to product design, engineering and production services to enhance horizontal and vertical value chains.

The Infosys Asset Efficiency Testbed, developed in collaboration with the Industrial Internet Consortium (IIC), tracks uptime of industrial assets and boosts productivity via Internet of Things (IoT) technology and advanced analysis of near real-time data. We implement Industry 4.0 solutions to boost mission-critical dimensions of new products – strategy, development and resources management.

Our digital ecosystem for connected automobiles integrates product, supplier, enterprise, and customer data. This ensures better visibility into vehicle usage, recurring mechanical issues and driving behavior. The data serves as input to distill insights such as driving patterns that cause increased wear-and-tear or higher emissions, suppliers of components that fail frequently, minimum sales threshold for financial feasibility of a model, etc.

Integrated product development enables us to replace trial-and-error development methods with machine learning algorithms and knowledge-driven systems for systematic assessment of new models. In addition, it ensures new components are compatible with AUTOSAR tools and complies with standards / regulations.

Our data-driven engineering frameworks maximize R&D budgets, and drive big data analytics to improve remote diagnostics, modify control algorithms for driver assistance, and redesign infotainment systems, among other use cases. Significantly, our unified database helps automakers undertake root cause analysis and manage software updates for embedded systems. It also empowers product designers and development engineers to accelerate validation of vehicle platforms and reuse elements across engine families, vehicle configurations and delivery programs.

We combine integrated computer-aided systems with model-based design and development techniques to accelerate pre-series production, streamline serial production, and drive continuous improvement.

TALK TO OUR EXPERTS

Asset Efficiency

Quality control
Energy management
Performance optimization

Engineering Efficiency

Digital twin
Model-based systems
Knowledge-based engineering

Information Efficiency

Data security
Data visualization
Data standards and interoperability

White paper: Interdisciplinary collaboration accelerates product enhancement

A structured knowledge-based engineering methodology distils experiential skills and enables concurrent development.

Challenges & Solutions

You need to differentiate your brand while recouping engineering and capital investment.

Risk assessment, cost benefit analysis, and benchmarking of product development practices rationalize the time and effort for commercializing new models and variants.

You should manage several vehicle programs simultaneously to accelerate return on technology investment.

Collaborative engineering drives concurrent design, assembly and testing while addressing resource (capital and human) as well as production (capacity and logistics) constraints.

You should avoid significant changes to product design and development processes to manufacture lighter, safer and more fuel efficient vehicles.

Knowledge tools and scenario analysis help R&D, design and engineering teams build repositories of reusable designs and components that meet emissions, fuel economy and safety requirements.