Engineer Quality

*** **** ***** **, ****** Anand Mishra *.********@*****.***

Arlington, TX, 76019. 817-***-**** linkedin.com/in/vick-mishra Summary:

Industrial Engineer certified in Six-sigma Green Belt with three years of experience creating and managing production systems in a fast paced manufacturing setup. Strong working knowledge of process improvement, quality systems, statistical analysis, and inventory management. Excellent decision-making skills & focused attention on details. Apt with new product introduction and technology transfer projects. Willing to relocate anywhere in USA.

Accomplished skills: • 5S • Ishikawa (Fishbone) Diagram • PFMEA • 5Why’s • JIT • Plan Do Check Act

(PDCA) • 8D Problem solving • Kaizen • Process improvement • APQP • KANBAN • Process flow diagram

• CA/PA •Labor Management • Quality systems • Capacity & resource planning • Lean Six-sigma • Root Cause Analysis • Continuous Improvement • Line Balancing • SPC • Cost analysis • Material Resource planning • TPM • Demand planning • Overall Equipment Efficiency • Time and motion studies • DMAIC • Poka Yoke(Mistake Proofing) • Value stream mapping • Forecasting • Takt Time • Cycle time reduction. Data Analytics: Capability studies (Cp,Cpk,Pp,etc), ANOVA, Statistical models, Data mining, Design of Experiments (DoE), Manufacturing systems, Predictive models Softwares: Microsoft Excel, Ms Office, Ms Project, Minitab, Microsoft Powerpoint, R-Studio, Python, SQL Soft Skills: Team player, strong communication, Cross-functional team collaboration, Critical Thinking, Flexibility, Interest and Aptitude for Technology, Self-starter, Ability to be Cross-Trained Industry Experience

Manufacturing Engineer Bhushan Steel Ltd, Feb, 2015 - Apr, 2016 Process control:

Used Statistical process control to assist in process improvement to eliminate waste, reduce costs, and improve safety. Created control plans and developed operating procedures, lead times and PFMEA. Root cause analysis in reducing the process variations using distribution analysis and FMEA tools. Continuous Improvement:

Prepared areas and conducted Kaizen events which resulted in 13-15% increase in throughput, and 20% in workspace.

Redesigned process layout, achieving 10% improvement in productivity and reduced manpower by 12%. Lean Manufacturing:

Implemented Pull Signals, Kanbans and identify opportunities with operations for improved line-side presentation and material flow.

Successfully led SMED project to reduce setup times by at least . Quality Management:

Managed the review and disposition of all non-conforming parts and products for the purpose of coordinating positive corrective action and resolution of issues. Documented corrective actions for line-speed, temperature and the sheet surface of galvanized steel. Lead efforts to understand non-conformances and reduce Cost of Poor Quality and achieved 12% lower rework and scrap

Workforce Management:

Conducted value stream mapping on the process line and detailed time/work studies identifying and eliminating non value added activities, reducing labor costs by $90,000 per year. Established work measurement programs and analyze work samples to develop standards for labor utilization.

New Product Introduction:

Worked with quality & warehouse team for new product introduction for manufacturing feasibility and capacity planning.

APQP team member for new product introduction, performed PFMEA analysis to identify and deal with risks confirming capability and reliability of the manufacturing process Inventory & resource planning:

Optimized product handling, warehouse storage, locating and allocating inventory using SAP. Initiated BOM changes and updated product routing, released warehouse requisitions and planned projects on monthly/ quarterly basis.

608 Wood Crest Ln, Vikash Anand Mishra *.********@*****.*** Arlington, TX, 76019. 817-***-**** linkedin.com/in/vick-mishra Process Engineer Bhushan Steel Limited, Angul, Orissa Oct, 2013 – Jan, 2015 Process Improvement:

Developed the daily and weekly strategy based on priorities and the utilization of downtime studies and gap analysis for continuous improvement activities and reduced preventive maintenance by 15% Created Excel workbook to plan out the day's production and reduce overproduction and downtime. Quality Control

Improved coating surface quality for galvanized sheets from a defect density of 0.2 defects /sq.ft to 0.025 defect density over a time period of 3 months using root cause analysis and FMEA. Assisted in integrating visual auditing systems into manufacturing process to automate monitoring equipment health and product quality with an annual savings of $70,000. Leadership

Participated in both internal and external audits for IT, cost, safety, inventory, quality and accident investigation and thus successfully achieved ISO 9001:2008 Lead a team of 15-20 employees for a smooth functioning of process for hot dip galvanizing line successfully producing full hard and soft material. Leading a team to document work instructions within manufacturing facilities, conducted training and safety program for the operators.

Qualification Summary

University Of Texas at Arlington: M.S. in Industrial Engineering Aug 2016- July 2018 Coursework: Operations Research, Quality Systems, Production & Inventory Control, Metrics and Measurement, Logistic Design & Transportation system, Manufacturing Systems Dr. M.G.R. University: B.Tech in Mechanical Engineering July 2009-Aug 2013 Coursework: Production process control, Statistical Quality Control, Design of machine elements. Projects and its Impact

Quality Control in semiconductor manufacturing:

The report identifies the defects encountered in laminating, etching, photolithography process of semiconductor manufacturing, testing the etchant process for the roughness at different levels The root cause analysis implemented, using FMEA tools, 5Why’s, Enterprise Excellence, and 8D. Process Optimization using multivariate regression: Data Quality & outlier testing were satisfied using f-test, Bonferroni test and variance inflation factor. Backward elimination and stepwise regression was used for the criterion selection and model was developed on multivariate linear regression and SVR

New product development process using SADT model:

The IDEF0 modeling method used in this study emphasizes describing the relationship between process function and cost using iGrafx tool.

Systems integration of the (process target deployment) PTD method was evaluated using analytical, computational and simulation experiments.

Operation Research: Design development and testing Developed tool design with the help of tools like Solidworks, and Computer-aided manufacturing, improved cycle time of the process by .5 min.

Productivity increased by 25% by providing ease of manufacturing at the same time reduced service life. Inventory control models

Inventory EOQ models was prepared namely Fixed Order Quantity, Lot for Lot, and Wagner-Whitin model. Optimal solution was based on factors such as demand, holding and setup cost w.r.t. service level at 90%. Rossman Drug store sales forecasting:

We trained model on SVR and to avoid the issue of over fitting we kernelized our model on Gaussian and polynomial kernel thus giving the percentage error of 26.8% and 16.3% respectively. The prior model was compared with random forest and linear regression having RMSPE of 52.7% and 12.3% Activities and Accomplishments:

ASQ Student member, Active member of APICS student chapter UTA, Member of National society of Black Engineers, Winner of intercollegiate Debate competition, Runner-up Intramural soccer competition, Participated and completed Mumbai Half Marathon.

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