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Case Studies
Explore the transformative success stories of BQR, where our products have emerged as catalysts for excellence across a spectrum of industries.
Case Studies:
CARE
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Risk Matrix
Defense Firm Utilizes BQR Software for Safety Event Probability Calculations
Introduction:
A prominent defense company engaged BQR software to assess the probabilities of premature detonation throughout various mission phases of explosive devices. The objective was to demonstrate adherence to client safety requirements, which mandated a probability threshold lower than 5‧10-8. Given the multifaceted nature of explosive devices, encompassing mechanical, electrical, and electronic protections, potential safety events could arise from combinations of protection failures.
Analysis Steps:
MTBF Prediction
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Employ MTBF prediction software to calculate component failure rates in accordance with MIL HDBK 217F2 and NSWC standards.
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Utilize the MTBF software to generate predictions and assess main tree components.
FMEA
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Import MTBF data into BQR's Failure Mode, Effects, and Criticality Analysis (FMECA) software, automatically assigning component-level failure modes.
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Conduct FMECA analysis: a. Select the appropriate standard for analysis, with risk matrix, severities list, and criticality or probability groups automatically defined. b. Define effects of component failures on higher-level assemblies up to the system level. c. Specify severities of system-level failure modes.
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Automatically generate FMECA reports, detailing the number of failure modes in each severity and risk level.
Fault Tree Analysis (FTA)
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Import the FMECA project into BQR's FTA module as the foundation for Fault Tree Analysis.
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Conduct FTA analysis: a. Assign the top safety event. b. Define logical relations (gates) between relevant failure modes, eliminating non-relevant failure modes through a top-down process. c. Incorporate "external" events such as probabilities of severe weather and operator error.
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Automatically calculate the probability of the top event, leading causes, and event combinations.
Results:
The assessment revealed that the probability of safety events complied with client requirements. Key drivers for safety events were identified, highlighting a significantly higher probability of mechanical failures compared to electronic failures. Consequently, future product development will prioritize enhancing mechanical reliability. The project files were efficiently updated to analyze the safety of product variants.
MTBF prediction main tree
Case Studies:
CircuitHawk
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Seamless Integration of ADAS by Utilizing BQR's CircuitHawk
Challenge for ASIC Manufacturer:
ASIC manufacturers grapple with the imperative task of ensuring that their customers correctly employ ASICs according to specifications and adhere to the reference design. Mobileye encountered this challenge in integrating their Advanced Driver Assistance System (ADAS) technology with various car manufacturers.
Solution:
By leveraging BQR's CircuitHawk Automatic Schematic Review (ASR), Mobileye efficiently executed systems verification and conducted comprehensive testing of the electronic chip integrated into the vehicle.
Key Benefits:
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Significantly reduce manual checking time, saving weeks of effort.
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Accelerate time to manufacturing through shorter test cycles.
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Enhance chip reliability by identifying and eliminating hidden errors.
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Mitigate potential vehicle hazards, averting high costs and safeguarding reputation.
Case Studies:
fiXtress
Defense Firm Utilizes BQR Software for Safety Event Probability Calculations
Introduction:
A prominent defense company engaged BQR software to assess the probabilities of premature detonation throughout various mission phases of explosive devices. The objective was to demonstrate adherence to client safety requirements, which mandated a probability threshold lower than 5‧10-8. Given the multifaceted nature of explosive devices, encompassing mechanical, electrical, and electronic protections, potential safety events could arise from combinations of protection failures.
Analysis Steps:
MTBF Prediction
-
Employ MTBF prediction software to calculate component failure rates in accordance with MIL HDBK 217F2 and NSWC standards.
-
Utilize the MTBF software to generate predictions and assess main tree components.
FMEA
-
Import MTBF data into BQR's Failure Mode, Effects, and Criticality Analysis (FMECA) software, automatically assigning component-level failure modes.
-
Conduct FMECA analysis: a. Select the appropriate standard for analysis, with risk matrix, severities list, and criticality or probability groups automatically defined. b. Define effects of component failures on higher-level assemblies up to the system level. c. Specify severities of system-level failure modes.
-
Automatically generate FMECA reports, detailing the number of failure modes in each severity and risk level.
Fault Tree Analysis (FTA)
-
Import the FMECA project into BQR's FTA module as the foundation for Fault Tree Analysis.
-
Conduct FTA analysis: a. Assign the top safety event. b. Define logical relations (gates) between relevant failure modes, eliminating non-relevant failure modes through a top-down process. c. Incorporate "external" events such as probabilities of severe weather and operator error.
-
Automatically calculate the probability of the top event, leading causes, and event combinations.
Results:
The assessment revealed that the probability of safety events complied with client requirements. Key drivers for safety events were identified, highlighting a significantly higher probability of mechanical failures compared to electronic failures. Consequently, future product development will prioritize enhancing mechanical reliability. The project files were efficiently updated to analyze the safety of product variants.
Risk Matrix
MTBF prediction main tree
Case Studies:
apmOptimizer
Achieving a 22.6% Reduction in Annual Maintenance Costs for a Sheet Metal Company
Introduction:
In the realm of sheet metal production, the reliance on heavy equipment operating at extreme temperatures underscores the critical importance of equipment reliability and maintenance. Failures can lead to production line stoppages, requiring cooling before maintenance interventions can occur. Recognizing these challenges, our sheet metal company sought to enhance equipment reliability and reduce maintenance costs through strategic optimization.
Optimization Steps:
Collaborating with BQR consulting and leveraging the advanced capabilities of apmOptimizerTM software, our team embarked on a comprehensive optimization process. The key steps included:
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Analysis of Production Lines and Model Development: Engaged in collaborative efforts with on-site staff, we meticulously analyzed production lines and developed a robust reliability and logistics model. This step was crucial in understanding the intricacies of the equipment and its impact on production.
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Life Cycle Cost (LCC) Calculation and Identification of Key Drivers: Employing sophisticated methodologies, we calculated the Life Cycle Cost (LCC) and identified pivotal factors contributing to downtime and overall cost implications. This step provided a comprehensive overview of the economic landscape associated with the equipment's life cycle.
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Optimization of Inspections and Spare Parts Provisioning: With a granular understanding of cost drivers, our team strategically optimized inspections and spare parts provisioning. This involved streamlining the maintenance process to minimize LCC, ensuring a proactive and cost-effective approach to equipment upkeep.
Results:
The meticulous implementation of optimization strategies yielded significant results, with the sheet metal company realizing a remarkable 22.6% reduction in annual maintenance costs. This achievement stands as a testament to the effectiveness of the collaborative efforts, advanced modeling, and strategic decision-making facilitated by BQR consulting and apmOptimizerTM software. The company now enjoys improved equipment reliability, minimized downtime, and enhanced cost-effectiveness in its maintenance practices.
