Faster vehicle development: CAD, CAE and where to locate engineering centres

Key conclusions

The greatest time benefit from CAD and CAE is finding problems earlier and reducing physical rework. Faster model preparation and calculations allow more alternatives before design freeze. Avoiding a prototype revision and retest can have a larger programme impact. Overall timing depends on delays and rework removed from the critical path.

India deserves a place on the priority shortlist for global CAE capability centres. Manufacturers and suppliers already have mechanical-design, simulation, software and testing operations there. It is a strong candidate for substantial, mature workloads serving European programmes. Selection should compare total cost and turnaround for accepted engineering work.

Centralise methods and reusable capabilities while retaining decision-capable engineers near vehicle programmes. Programme engineers own performance targets, trade-offs and test interfaces; the capability centre owns methods, automation and analysis delivery. Both need the same controlled data versions.

Recruit first for physical modelling, test correlation and automation. Automation is reducing repetitive geometry cleanup, meshing and reporting. A staffing plan built mainly around manual repetition may need restructuring before it pays back.

What “drawing” and CAE actually involve

Automotive drawing covers several activities. Styling determines appearance and perception. Engineering CAD defines components and assemblies that can be manufactured and assembled. Drawings or three-dimensional product manufacturing information specify dimensions, tolerances, materials and inspection requirements. This article focuses on engineering definition and its connection to CAE.

CAD means computer-aided design; CAE means computer-aided engineering. For a battery tray, CAD defines shape, thickness, reinforcement, joints and packaging. CAE assesses behaviour under impact, vibration, loads or thermal conditions. Designers revise weak points and reconsider weight, cost, space and manufacturability.

CAE includes crash, durability, noise and vibration, aerodynamics, thermal management and forming. These disciplines require different methods and evidence: fluid domains for airflow, deformation and contact for crashes, and suitable load histories and material data for fatigue. Siemens CFD workflow; Ansys automotive applications

Preprocessing is easily underestimated. Geometry that looks complete may still require gap treatment, connections, materials and meshing. Engineers must decide which details to retain or simplify. Incorrect assumptions can send design changes in the wrong direction regardless of calculation speed.

How long it takes: labour, computing and waiting

Measure engineering effort, machine runtime and elapsed time from request to actionable conclusion separately. A one-day calculation may follow several days waiting for input, then wait again for a design review.

Sources: Ansys, Cadence, Dassault Systèmes. The latter two illustrate workflow opportunities through supplier disclosures.

Two priorities follow: update analysis models efficiently as designs change, and get findings into decisions promptly. More computing addresses solving. Manual rebuilding, missing material data and approval queues need separate process changes.

Drawing schedules should distinguish parameter changes to an established part, detailed design of a new structure, cross-system packaging and complete production release. Mature derivatives reuse information; new structures require manufacturing, purchasing, suppliers and other engineering teams to coordinate.

Build estimates from actual labour, waiting and rework by task class in previous programmes, rather than assigning a single turnaround standard to all CAD or CAE work.

Turning faster analysis into a shorter programme

Consider an illustrative ten-working-day iteration: three days waiting for and clarifying inputs, three preparing the model, one queuing and calculating, and three interpreting and deciding. Halving the calculation day produces a 9.5-day loop. Reducing the four stages to one, one, one and two days produces a five-day loop.

Organise improvement around the complete design iteration. Separate departmental speed targets can overlook handovers.

Programme benefits arise in different ways. If analysis is holding up design freeze, a trustworthy result releases tooling, prototype and procurement work. If it exposes a structural problem early, changes can avoid later tooling modifications and retesting. If another activity remains critical, faster analysis creates room for more alternatives while launch timing awaits improvement elsewhere.

Ask the centre to report analysis turnaround and the decisions advanced or rework avoided. Confirm schedule benefits through programme critical-path reviews.

Volkswagen offers a broader organisational reference. Its 2025 annual report states that development speed in China increased by up to 30%. Its explanation of the Hefei model also emphasises local decisions, development–purchasing coordination and early supplier involvement. This is an overall development-model outcome. 2025 annual report; 2024 development-structure explanation

What India already does

A centre of excellence can execute analysis and own methods, quality standards and training. Public names differ; actual responsibilities matter.

Sources: Mercedes-Benz; Renault role, accessed 26 October 2026; Volvo Group, March 2022; Volvo Group, 6 September 2024; Valeo India. Volvo Group here is the commercial-vehicle group.

Mercedes-Benz illustrates accumulated method capability. Volvo Group illustrates the importance of access to parts, materials and tests as responsibility expands.

For simulation automation and software/data collaboration, Bengaluru is a sensible first candidate. For mechanical design, component engineering and test interfaces, compare Pune and Chennai. These are proposed shortlist directions based on confirmed operations; validate them through specialist recruitment and trial work.

BMW TechWorks India is officially positioned mainly around vehicle software and business IT. It provides software-ecosystem context; the CAE assessment above uses explicitly identified simulation responsibilities. BMW innovation network

Allocate work before selecting a location

Concentrate work with stable methods, definable inputs and inspectable outputs: derivative load cases, standardised meshing, automation and data management. Shared tools, experts and compute capacity can balance programme demand.

Keep target-setting, cross-system trade-offs, unusual failure investigation and key test correlation closely connected to programmes. These depend on design context and physical evidence.

For battery-tray side impact, a global centre can maintain models and compare reinforcement or joint alternatives. Programme engineers decide with body, battery, manufacturing and test specialists which structure to adopt. If a new joint disagrees with testing, model experts should participate in diagnosis before updating the common method.

A three-part responsibility structure is useful:

• Vehicle programme: targets, boundaries, design approval, testing and programme outcomes.
• Global CAE centre: methods, model libraries, automation, computation and analysis quality.
• Local CAE interface team: daily design discussions, input checks, cross-discipline issues and connections to tests and global experts.

Give the centre responsibility for a complete analysis, from input checks to actionable recommendations. Splitting cleanup, meshing, solving and reporting among disconnected teams adds handovers and loses context.

Locations suited to different needs

For European-led programmes requiring scale, compare India with existing European engineering bases. India offers an established basis for expandable analysis and automation. European bases offer proximity to programme owners, tests and suppliers. Benchmark them using the same work packages.

Romania provides an example of integrated engineering and physical facilities near European programmes. Renault’s official description covers design in Bucharest, testing in Titu, tooling in Pitești and plant support in Mioveni. Titu has tracks, benches and materials facilities. Dacia/Renault Romania

For Chinese-led vehicles with frequent local-supplier interaction, prioritise a CAE collaboration team near the Chinese design and validation base. Mature tasks can be shared globally; changing structures, supplier data and test findings need prompt local resolution. Volkswagen’s Hefei model illustrates the value of local authority and supplier coordination.

For new materials, structures or difficult performance development, start where the relevant experts and tests already exist. Early judgement and validation matter more than headcount. Expand repeatable analysis after methods mature.

For North American-led programmes requiring rapid daily responses, retain a North American project interface and evaluate offshore execution separately. Time-zone handovers suit clearly defined work. Frequent joint decisions need reliable overlapping hours.

Engineers and computing infrastructure need not share a location. Place compute according to security, licences, connectivity and cost; place people according to engineering collaboration. Test the whole route from model access through solving to results.

How to make the decision

Apply entry requirements before comparing price and speed: credible discipline leaders, required model and test access, software and computing availability, and workable programme collaboration.

Give candidate teams the same authorised work packages: a mature task, a design change and an anomaly requiring explanation. Define inputs, acceptance criteria and deadlines in advance. Measure first-pass acceptance, elapsed time, review effort and problem-solving quality.

Calculate total cost per accepted work package. Include headquarters’ correction effort. Where work is critical, assess its schedule consequences too.

For stable, long-term work carrying core methods, retain internal ownership of discipline leadership, methods and quality. Engineering-service providers can supplement peaks and clearly defined standard tasks.

AI changes the hiring priorities

In July 2026, BMW reported thousands of virtual crash simulations weekly and more than one petabyte of historical data. Its Mistral AI collaboration explores faster analysis of those results. Efficiency investment is extending into interpretation and engineering knowledge. BMW, 7 July 2026

Recruit people who build reliable physical models, correlate them with tests and automate repeatable processes. Together, these capabilities determine how quickly analysis can support design.

Use AI prediction and automation initially within validated methods and defined design ranges for screening. Selected designs then follow the programme’s required high-fidelity analysis and validation. Preserve data provenance, model versions, applicability and error records.

For many European manufacturers, the configuration worth testing first combines scalable simulation and automation in India with project engineering and test-correlation teams at major vehicle bases. Chinese-led programmes need sufficient local authority. Real work packages should determine which team produces an acceptable conclusion sooner and reduces the next round of revision.