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IBM Quality Insight
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| Resolve and prevent component failures
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When an automotive component fails, a complete quality analysis needs to be conducted to discover and fix the root cause as quickly as possible in order to reduce warranty claim costs and improve product quality. Through better quality analysis with IBM Quality Insight, you can view virtually all of the data related to a specific failure regardless of its source or format. Help ensure the right people have access to the information they need to develop fast corrective actions. Utilize historic data to enhance component designs and prevent future failures.
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| Benefit from IBM's extensive experience
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IBM is prepared to help automakers build a successful warranty management strategy that leverages improved quality analysis to enhance product quality using our extensive experience in the industry, and our leading products and services.
- We have more than 25 years of automotive industry experience with a client base that includes major automotive suppliers, OEMs, distributors and dealers.
- To support early detection of failure events, IBM has developed the Parametric Analysis Center, which enables automakers to collect and analyze large quantities of vehicle diagnostics data from handheld tools, vehicle flight recorders and call centers. We have a track record of successful implementations of complementary systems in the areas of vehicle diagnostics and telematics.
- Quality analysis through IBM Quality Insight is designed to help manufacturers comply with government reporting regulations under the Transportation Recall Enhancement, Accountability and Documentation (TREAD) Act.
- IBM business intelligence experts specifically tailored IBM Quality Insight analytics to the warranty management process.
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| Leverage powerful analytics
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Optimized quality analysis can deliver warranty-related benefits to automakers. IBM Quality Insight is designed to:
- Integrate critical symptom, cause and failure, and cost information across multiple formats—including structured, semi-structured and unstructured data from various sources, such as:
- Bill of materials (BoM)
- Parts traceability
- Supplier data
- Dealer diagnostics applications
- In-car telematics
- Field reports
- Call centers
- Internet chat rooms
- Foster innovation with best-of-breed quality analysis that correlates critical vehicle failure information to help automobile engineers identify the root cause and patterns of failure.
- Combine real-time and historical quality analysis data to facilitate long-term quality improvement, product development and strategic planning.
- Provide a unified view of this diverse data that helps users identify the most relevant information quickly, increasing productivity and improving quality analysis and visualization of failure events.
- Deliver real-time access to information with sophisticated search capabilities that allow for searches across multiple data sources and formats.
- Support seamless information exchange among various lines of business within your enterprise.
- Enable collaboration across the automotive community, integrating manufacturers' applications with external applications used by dealers, suppliers, regulatory agencies and other partners.
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| A scenario: responding quickly to safety issues
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A recently marketed new model car consistently malfunctions in a way that could affect consumer safety. Consumers worldwide have reported the problem through Internet chat rooms or regional dealers. An early warning system installed at the automotive manufacturer monitors and analyzes the semi-structured failure reports and call center data.
When the service department uses a unified information management system to share the details of the failure with quality engineers and vehicle designers. They conclude that the problem is caused by a defective design of the sensor component within the transmission control system of the particular model. The manufacturer immediately recalls the vehicles for manual repair or perhaps instructs dealers to recalibrate the sensors with wireless calibration systems. The fast response due to timely quality analysis helps prevent injuries and a possible catastrophic event.
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| Reduce component failure costs
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IBM Quality Insight can improve quality analysis to help you reduce costs associated with automotive component failures. We can help you:
- Cut warranty costs by improving the quality and reliability of components.
- Expedite the recall process to avoid a potential chain of failures and reduce related costs.
- Utilize insight from historic data to prevent future failures and limit the costs associated with them.
- Avoid enormous liability judgments by lowering the chances for component failures that could cause injury and death.
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Questions about this solution? Contact an IBM automotive specialist.
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