Industrial/Manufacturing Engineer

HARSH VARDHAN SHARMA

* ********* **, **********, ** • 217-***-****• *********@*****.***

OBJECTIVE

To work in an intellectually challenging position where I can leverage my knowledge in Industrial Engineering and software tools to collect, analyze and derive qualitative and quantitative decisions in support of the company’s goals

EDUCATION

Master of Science, Industrial & Systems Engineering, Northern Illinois University, DeKalb. Summer 2011 GPA 3.8/4.0

Bachelor of Technology, Mechanical Engineering, Visvesvaraya National Institute of Technology, Nagpur, May 2009 GPA 3.2/4.0

SOFTWARE COMPETENCY

Optimization: IBM OPL – CPLEX PLM/CAPP – Siemens Teamcenter 8.3 Microsoft Suite: incl. Visio & Project Statistical: Minitab, Excel Simulation: Arena 13 Design: AutoCAD, Pro-E Languages: C, C++, SQL

SPECIALITIES

Lean Manufacturing, Statistical Process Control (SPC), Time and Motion Studies, Six Sigma, DMAIC, Continuous Improvement, 8D, 5S, Root cause analysis, PFMEA, GD&T, Value stream mapping (VSM), CAD layout and drafting, Process Planning, Kanban, Standard work, Line balancing, Design of Experiments (DOE), Data analysis and manipulation, Operations research, DES -Simulation, Technical writing, Mathematical Modeling, Optimization, Industrial Engineering, NC programming, Optimization,.

INDUSTRIAL EXPERIENCE

Process Engineer (Certified Six Sigma Green Belt) Geometric Americas Inc., client: Caterpillar, Decatur, IL Oct '11 – Oct ‘12

• Analyze and re-arrange floor layout using AutoCAD (including relocating workstations & equipment, and reorganizing workflow after performing value stream mapping), following lean manufacturing, and six sigma principles.

• Implement 5S and assist in other kaizen activities, rapid improvement workshops under a CPS black belt. Successfully completed a Six Sigma Green Belt project and certification.

• Document engineering changes, resolve Continuous Improvement cards using root cause analysis; validate tools & torque specifications.

• Create and maintain work orders, visual aids for assemblers using tools like CAPP, and Teamcenter Vis Mock-up.

• Undertake Virtual Process Planning for Assembly through Teamcenter PLM and work towards SAP Implementation

• Create and manage changes to Parts, BOMs according to the ECOs, change notices and engineering drawings.

• Document and shift the routings/process plans from legacy production planning systems to Teamcenter.

• Assist lead production planner in maintenance of Bill of Material and troubleshooting, resolving Manufacturing Bill of Material grief, performing accountability checks, BOM audits.

• Conduct or participate in other Lean manufacturing activities aimed at improving Velocity, Safety and Quality aspect of Wheel Tractor Scrapers.

• Lead Training and development of Manufacturing Engineers, familiarizing them with Teamcenter production planning software in new SAP environment.

Industrial Engineering Intern, at Caterpillar Inc, Aurora-IL., May ‘10-Aug ‘10

● Learned Teamcenter Visualization Mockup™ and Manufacturing Execution System (MES)

● Researched, wrote, and implemented work standards for engine sub assembly

● Learnt the difference between using MODAPTS and stop-watch method of time studies by evaluating their feasibility.

● Performed time and motion studies on large (992) & medium (854) wheel loaders

● Implemented Lean/Six Sigma measures and 5S to eliminate waste and increase productivity.

● Suggested feasible measures to reduce WIP; and total cycle time of the 992k assembly line by at least 30%.

ADDITIONAL EXPERIENCE

Graduate Research Assistant, College of Engineering and Technology, Northern Illinois University, DeKalb, IL, Aug ‘10-Aug ’11

● Performed statistical analysis on operational data metrics and derived tangible improvement opportunities.

● Developed efficient mathematical models to optimize scheduling processes in a classification rail yard

Graduate Staff Assistant, College of Engineering and Technology, Northern Illinois University, DeKalb, IL Jan ‘10-May ‘10

● Head Tutor - planned working schedules of tutors, raised funds for the tutoring center.

● Assisted undergraduate students with assignments and test preparation

Graduate Staff Assistant, College of Engineering and Technology, Northern Illinois University, DeKalb, IL Aug ‘09- Dec ‘09

● Assisted with data collection for the research on nanotechnology and henceforth reported the findings

● Compiled and reported useful resources to help the Dean frame policies on college ethics and code of conduct

PROJECTS

Simulation Project – simulated a manufacturing test facility Oct ‘10 - Dec ‘10

• Used Arena software to simulate and analyze a product flow line in a test facility.

• Utilized advanced logic of conveyor, transporters, variable cycle time distributions etc. to model the flow.

• Optimized resources using constrained programming in OptQuest.

Linear Programming – solved a lot streaming MIP using CPLEX Mar ‘10 - Apr ‘10

● Studied the lot streaming problem - process of breaking a batch of jobs into smaller lots, and then processing them in an overlapping fashion on the machines.

● Compared and summarized results from two different formulations (using variable and constant size sub lots)

Six Sigma Project – applied DMAIC methodology for a case study on federal funding to the state universities. Aug ‘10 - Nov ‘10

● Examined the data from Illinois state board of education, using statistical (Minitab™) & design of experiments(DOE) tools

● Identified & analyzed the KPIs involved and their effects; hypothetically suggested, the ways to improve funding

Queuing Methods Project – for the drive-thru at McDonalds’ fast food restaurant Feb ‘10 - Apr ‘10

● Collected and analyzed the service, waiting times of customers in queue.

● Determined appropriate queue length, service time and server capacity after significant analytical study.

● Recommended practical measures to improve their service without compromising the quality and sale.

MASTER’S THESIS

Unrelated Parallel Machine Scheduling Problem - a classical NP-hard problem in the field of combinatorial optimization

● Improved and proposed a new formulation, implemented Lagrangian relaxation technique. Aug ‘10 – Aug ’11

Programmed the algorithms in C++ and IBM OPL™ with CPLEX™ coding, scripting

Performed extensive experimentation with large data sets with tens of thousands of variables/parameters.

Used Visual FoxPro and My-SQL to handle and manipulate large data sets.

Compared the results with state-of-the art Meta-heuristics (SA & Meta-RaPs)

● Obtained superior results and best known solution for 65% of the instances tested.

● BARNES & NOBLE | A Lagrangian relaxation heuristic for unrelated parallel machine scheduling problems.| H. Sharma

References on request.

And, open to relocation.

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