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 The increasingly dynamic and competitive automotive market has moved manufacturers to adopt a more flexible manufacturing process. While this flexibility helps to meet growing consumer demands for additional choices and options, it also contributes to a more complex manufacturing environment with the potential for increased errors and costs.
In order to adapt to these emerging requirements, manufacturers must continually strive to determine ways to reduce costs, optimize operations and adhere to and often exceed stringent quality requirements. Concurrently, they must address environmental issues and meet their sustainability objectives.
Rockwell Software recognizes the various challenges facing the automotive industry and offers applications that help to improve time to market of new model introductions, reduce costs, improve quality and increase enterprise agility to meet consumer demands.
| Reduce Costs |
Improve Quality |
Environmental Compliance |
- Improve throughput up to 15%
- Reduced energy costs up to 20%
- Reduce WIP up to 30%
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- Improve quality response times up to 90%
- Reduce scrap by up to 25%
- Improve first time through (FTT) up to 15%
- Decrease reject rates up to 75%
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- Reduced environmental compliance costs
- Achieved regulatory compliance goals every production day
- Reduced continuous emissions monitoring compliance costs up to 50%
- Minimized reporting data entry burden and total cost by as much as 50%
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The Operations & Manufacturing Intelligence applications help manufacturers improve their financial performance of production operations, increase operational flexibility to meet changing market demands, and identify opportunities for improved decisions more quickly and accurately.
The Real-time Compliance & Sustainability applications help organizations comply with sustainability initiatives by reducing environmental and product compliance risks and associated costs. Additionally, these applications assist in improving energy, raw material or human resources efficiencies and reduce waste.
The Model Predictive Control & Optimization applications help improves product quality, reduces raw material consumption and costs, increases first-pass yields, and economically optimizes the production rate.
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