Yogesh V B
Process Engineer @ Crane Authentication | CSSGB | Manufacturing Process Improvement | ASU MS Graduate
- Role
- Process Engineer at Crane Authentication (NXT)
- Location
- Lancaster, US
- LinkedIn followers
- 500 followers
About Yogesh V B
Results-Driven Process Engineer specializing in Process Optimization, Data Analysis…
Experience
Process Engineer
Oct 2024 — Present · Logan, UT, US
Gained cross-functional exposure by learning 10+ product lines and understanding end-to-end manufacturing processes, building a strong foundation in production flow, quality requirements, and customer specifications across diverse hologram label types.• Developed and implemented a Kaizen 5S plan across critical work areas to improve workplace organization, enhance safety standards, and ensure consistent product quality. • Led three high-impact process improvement initiatives, delivering measurable gains in quality, cost, and operational efficiency:o Sticky Label Reduction: Diagnosed worn die anvil as the root cause of adhesive-related defects in hologram labels. Replaced the component, reducing sticky labels from 4% to 0.2% and cutting scrap by 23%.o Keyence Camera Integration: Deployed Keyence VS Series camera system for automated inspection, after self-training on VS Creator software, decreasing inspection time by 42% from 55 to 32 minutes and boosted consistency by 29%.o Printer Migration: Evaluated outdated print systems, recommended and integrated a suitable printer model, leading to a 32% cost reduction and cut down on 10 hours weekly of troubleshooting printer errors.• Applied Failure Mode Effect Analysis (FMEA) and Fault-Tree Analysis (FTA) to assess and mitigate risks in labeling and inspection processes. Identified 4 high-risk failure modes and implemented controls, reducing defect rate by 42%. • Introduced a new die-cut quality verification process, improving early detection of defects and reducing downstream issues by 27%.• Utilized Minitab for process capability studies, improving Cp/Cpk from 1.1 to 1.42 and enabling tighter control limits on critical parameters.• Streamlined processes using Value Stream Mapping (VSM), integrating inspection into the label-on-label application and achieving a 43% overall efficiency gain.
Education
Arizona State University
Master of Science - MS
2022 — 2024
SSM School
X
2014 — 2014
SSM School
XII
2016 — 2016
SRM University
Bachelor's degree
2016 — 2020
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