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Engineer Manufacturing

Location:
Warsaw, IN
Salary:
65000
Posted:
February 22, 2020

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Resume:

Mohit Shantilal Baffna (ASQ-CSSBB)

adbxgj@r.postjobfree.com, 716-***-****,www.linkedin.com/in/mohitbaffna SUMMARY

M.S in Industrial Engineering with 2+ years’ experience in Quality and Continuous Improvement

Certified Six Sigma Black Belt (ASQ) and detail oriented individual proficient at using Lean/ SPC to improve process efficiency SKILLS

Analytical Tools/Software : Minitab, Tableau, MS Excel, Arena Simulation, Gurobi, Python, C++,R,SQL Technical : QA, Six Sigma, SPC, Statistical Analysis, Kaizen, TQM, Simulation, JIT, Kanban, 5S, Linear Programming, KPI, VSM, FMEA, DOE, Capability Analysis, OEE, CAPA

EXPERIENCE

Manufacturing Engineer – Zimmer Biomet (Apr 2019-present)

Performing CAPA Action Item to Revise 1000+ Routers and BOMs using Change Management System (CMS)

Analyzed Gaps between procedures and actual practice by process walks and study of NCR’s

Remediated 10+ Design History Files (DHFs) and Device Master Records(DMRs) per regulatory requirements

Working with cross-functional teams to improve manufacturing workflow implementing Engineering Change orders (ECO)

Study of Plots using Plotview enabling operators to use the bonus tolerance using GD&T Practices Six Sigma Project Intern (Pro-Bono)–Unyts (Oct 2017-Dec 2017)

Implemented the Six Sigma DMAIC procedure for process improvement in maintenance of medical records

Achieved 50% reduction in the number of reworks saving $42000 annually

Utilized various Six Sigma tools like PFMEA, Pareto Chart, KPIV-KPOV Diagram, Capability Analysis, Statistical Analysis to analyze the 12 major areas of rework identified

Application of the Poka-Yoke mechanism (Excel Macro) and measles chart to reduce future errors Industrial Engineer – Raajguru Steels (Sep 2016-Aug 2017)

Utilized Lean tools (5S, KPI, 5-Why) for continuous improvement in the process lines

Conducted a measurement system analysis(MSA) using Gauge Studies like Linearity, R&R and bias on a regular schedule to ensure workability of the Gauge Measures like CMM, Micrometer, Calipers used

Analyzed Control Charts and performed Root Cause Analysis and troubleshooting techniques to reduce downtime by 11%

Performed VSM and prepared process flowchart to reduce process wastes and NVA activities by 20% ACADEMIC PROJECTS

Design of Experiments: Fractional Factorial of Specialty Medical Equipment (Minitab, Regression) (Sep 2017-Dec 2017)

Analyzed a 215-11 fractional factorial resolution III Design using ANOVA tests to estimate statistically significant factors in the least runs

Recommended the optimal settings of the significant factors and prediction of CCR at those levels while determining if the assumptions have been met to ensure the validity of results Process Control and Capability Test of a Standard Catapult (Minitab, MSA) (Feb 2018-May 2018)

Created a standardized Work Instruction to build the catapult to ensure there is no within difference between catapults

Carried out a Gauge Linearity Study to estimate the bias and usable range of the gauge –Air Measure to be used

Executed a Gauge R&R study to determine the optimal instrument to measure distances thrown by the catapult

Conducted a DOE to estimate the significant factors and prediction of distances using the regression equations

Estimated Process stability, overall and within capability and comparison to standards Simulation of Manufacturing Operation (Arena, Process Analyzer) (Feb 2018-May 2018)

Simulation of high mix medium volume manufacturing operation to minimize cycle time and waiting time

Scenario Comparison applying steady-state Simulation, PAN (Process Analyzer) in Arena to determine purchase of new machines on a constrained budget with effective use of CRN (Common Random Numbers) Demand Forecasting of SBI Safety Shuttle (RStudio, Time Series) (Sep 2018-Dec 2018) Data Analysis: Estimated ACF and PACF using graphs to determine least amount of parameters to improve accuracy

Forecasted Demand for different days of the week using multiple Time Series Models like ARMA, ARIMA and SARIMA and determined accuracy using AIC values against Test Data Data Visualization: Constructed plots for each model used to showcase forecast accuracy against test data EDUCATION

Master of Science, Industrial Engineering- GPA: 3.90/4 (Aug 2017-Feb 2019) University at Buffalo, State University of New York Buffalo, NY Coursework: Design of Experiments, Six Sigma, Quality Assurance, Simulation, Operations Research, Programming for Analytics Data Exploration: Determined the type of data to be a Time Series following a weekly schedule



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