MANUFACTURING ENGINEER
Highly analytical and performance-driven engineer. My field of specialization is Manufacturing and Operations Engineering, with proficiency on performance and quality analysis of complex production systems, simulation, process effectiveness and quality, DOE, SPC, GD&T, Gauging/Tooling, Optimization and Dimensional Engineering. I am currently seeking a position in R&D, design, testing or/and advanced manufacturing.
Professional Experience
Chrysler Group LLC, 800 Chrysler Dr., 48326-2757, Auburn Hills, Michigan USA
From July 2014: Dimensional Engineering Innovation Specialist
Department: Advanced Manufacturing Engineering
Responsible for developing, testing and validating tooling/gauging CAD models during stamping/manufacturing design phase. Optimization software analysis, Finite Element Analysis
- Developed tooling/gauging models for exterior automotive sheet metal parts
- Defined the requirements to develop, test and advance the genetic algorithm software to optimize the tooling/gauging
repeatability (Collaboration with the University of Michigan)
- Tested, Validated and Utilized Finite Element Analysis software to analyze gravity effect on the sheet metal parts
- Defined tooling/gauging design changes to improve measurement systems repeatability and minimize costs
- Developed optimization process flow, built technical report and user’s guide to standardize the optimization software usage
June 2012 - June 2014: Dimensional Engineering Analyst
Department: Advanced Manufacturing Engineering
Responsible for product and process quality within the Dimensional Engineering group – body shop Metrology Laboratory:
- Responsible for critical sheet metal features for body shop build (CP/CPK)
- Used Capability Analysis to guarantee high-precision vehicle geometry in compliance with internal quality standards
- Responsible for Body Shop Geometry Stations accuracy and repeatability
- Responsible for Exterior Building Objective (flush and gap). Defined product control Key Performance Indicators to guarantee
internal quality standards
- Developed internal Excel Workbooks to enable manipulation of an immense amount of data related to the Jeep Grand
Cherokee body. Capability analysis, time series analysis, data clustering, regression analysis.
- Gauge Repeatability and Reproducibility analysis to validate and test measurement systems (LMI - Linear Measurement
Instruments)
- Implemented a product control audit procedure to extend the process to other plants
- Used data statistical analysis (SPC, DOE, Shainin System, Red-X, Component Search, BOB/WOW, and factorial plan),
documented case studies, created Kaizen/projects, identified corrective actions, solved design and manufacturing issues
utilizing strong analytical and problem solving skills
- Evaluated quality improvement countermeasures benefit/costs ratio and savings
September 2011 - June 2012: Process Support Engineer
Department: Power Train Control Engineering
- Developed and implemented Gantt Charts to plan, monitor, and validate the progress of projects to ensure compliance with
goals and deadlines
- Defined and developed Excel tools (issue log, risk log, time charts) to evaluate how issues and risks related to the project can
impact the milestones and goal achievement
- Developed engineering tracking process tools to be used as standard in powertrain project management
University of Michigan, 2350 Hayward St, 48109, Ann Arbor, Michigan USA
May 2010 - August 2011: Research Fellow
Department: Mechanical Engineering
Specialization in Manufacturing System Configuration. Conducted research related to performance evaluation of production
systems.
- Developed a throughput evaluation analytical model to analyze complex production systems. Markov Chain, difference
equations. The models have been implemented in Matlab. (Assembly/Disassembly/Split/Merge operations, Quality In/Out of
Control states, different processing times)
- Developed stochastic simulation models with Arena software to validate the analytical models developed
- Developed stochastic simulation models with Pro Model to identify inefficiencies and down times of the assembly lines
- Defined the best combination of process parameters for Ultrasonic Welding through a DOE and Factorial Plans analysis to
improve the operation yield for an important company of the automotive field
Certifications and Awards
Innovation Award received by Manufacturing En...
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