Cosmo Tech

Automotive Industry

Automotive

Agile decision-making for tomorrow’s automotive industry

Automotive Challenges

The automotive industry is facing some of its biggest challenges to date. The unexpected event of Covid-19 has not just caused supply chain disruption, but also volatile market conditions. This can be compounded by a historical lack of visibility between OEMs and suppliers. Automotive companies are well-placed to weather hardships, recovery needs to be swift and data-driven. An enterprise digital twin provides the right fit for these challenges in determining an agile, resilient supply chain built with existing capabilities, for manufacturing efficiencies.

Our solutions for the Automotive Industry

Production Planning

Production Planning

Design an Enterprise Digital Twin of your supply chain and optimize your production plans to deliver value at every stage of your manufacturing process. Manage supply, production and demand to achieve operational efficiency and increase profitability.
Strategic Sourcing

Strategic Sourcing

Design an Enterprise Digital Twin of your supply chain network and virtually simulate any scenario, compare various sourcing options and anticipate potential cascading and bullwhip effects of several risks which could impact final service and inventory levels.
Asset Obsolescence

Asset Obsolescence

Build an optimal OPEX/CAPEX asset investment plan to replace and renew obsolete equipment and control risk exposure. Include real-world constraints, understand their impact and bridge the gap between operational and financial views to identify the right strategy.

Benefits for the Automotive Industry

  • Increased visibility Gain greater visibility into operations across the supply chain. Identify suppy chain constraints, bottlenecks and develop a resilient supply chain.
  • Agile scenario management Develop and run new what-if experiments when conditions look to be changing in the near-term and long-term future with comprehensive supply chain software. Accelerate supply chain decision making.
  • Anticipate supply chain disruptions Suppliers, factory constraints, logistics networks...all represent uncertainties in your supply chain. Include these uncertainties into the model and simulate the impact of each elements on your production. Find the optimal plan and ensure supply chain resiliency.
  • Improve collaboration with customers and suppliers Build customer and supplier data-gathering activities into your system for use in your enterprise digital twin. Gain greater system insights while strengthening business relationships and reducing supply chain costs.
  • Plan for all futures Take more rapid but resilient decisions that remain aligned with customer expectation and demand and create robust optimal plans for the short, medium, and long term.
  • Optimize use of constrained resources Leverage prescriptive automation to maximize efficiency. Uncover new optimizations under already tight operating conditions. Understand which resources can be altered for maximum ROI.

Case Studies

Production Planning

Achieve Production Planning Excellence

How a car manufacturer extended their car production with the same capacities, considering a volatile demand, a complex production process, and production flow bottlenecks.

Discover the case study
Asset Investment

Optimize Operational Asset Investments

How an international car manufacturer built an optimal OPEX/CAPEX asset investment plan to replace and renew obsolete equipment and control risk exposure.

Discover the case study
Factory Planning

Optimize Your Manufacturing Planning and Scheduling

How a car manufacturer took into account complex production sequences and met the needs of their dynamic supply chain.

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Customer quote supply chain planning

Thanks to Cosmo Tech, our entire network is modeled. When the S&OP process gives a new direction, we can modify the digital twin to quickly get the best production scenario. Every month, we adapt it according to the gap observed between forecasts of customer demand and reality.