PRODUCTION ENGINEER Resume

TECHNICAL SKILLS:

Softwares: Minitab, Solid Works, Fusion 360, Auto CAD, PRO - E, CATIA, Tinker Cad, ANSYS, CFD

Programmable Tools: M.S Office Suite, CNC, MATLAB, Basics of C, SPC, FEMA, DOE

Areas of Interest: Production Planning & Quality Control, Lean Six Sigma, CAD/CAE/CAM, 3D printing, Design & Manufacturing, Industrial & Vehicle Automation

WORK EXPERIENCE:

PRODUCTION ENGINEER

Confidential

Responsibilities:

Directed and co-ordinated all the process flow, manforce flow and equipment flow.
Improved workspace at the site by identifying value added activities to the clients and re arranged the work flow which reduced lead time by 20%.
Maintained an everyday balance within manpower, production time, working hours, employee wages, day/night shifts and equipment availability to project’s/contract’s deadline.
Provided technical support and training to the labor with the new handouts of the latest equipment and estimated a record of 40% learning curve.
Scheduled preliminary maintenance and service checks at regular intervals of run time, resulted in zero machinery breakdown and production stoppage.
Optimized capacity strategy and production planning by identifying the machinery to purchase or lend upon the usage and returns on investment (ROI) in future.
Improved efficiency and effectiveness by 70% with Aggregate planning (constant workforce or Zero inventory).
Monitored all the road equipment, paving equipment, rollers, concrete mixers work with full efficiency, minimal energy consumption and track of individual equipment consumption details like fuel, gas, lubricants and electricity.

QUALITY ENGINEER INTERN

Confidential

Responsibilities:

Acted as an engineer responsible for quantifying field failures and technical collaborative alliance among Plant Vehicle team ( Confidential ), Centralized Quality Assurance (CQA) and Supply Quality Assurance (SQA).
Practiced the usage of Quality check tools Flow Chart, Check sheet, Histogram, Pareto Analysis, Cause and Effect Analysis, Scatter Diagram and Control charts with more than 95% success probability strike upon implementation in following two projects.
Proposed counter measures to report zero failures by improving stiffness of boot material by changing Neoprene to HNBR & Increased grease consistency by changing molykote 2/78 to molybdenum sulphate. And, proper routing to achieve minimum bending radius of 100 mm & improving stiffness of spring by implementing closed coil spring.
Standardized the process flow by updating the SOP in the assembly line and DCP at the supplier end.

QUALITY ENGINEER INTERN

Confidential

Responsibilities:

Defined a real case problem from Confidential ’s worrying on their poor inventory stock management which there by resulted total income loss in revenue.
Measured & Analyzed excess ingredients usage, not following SOP, FIFO and confusions in delivering orders are the reasons behind inventory shortage and revenue loss through data analysis, histograms, control charts, cause and effect analysis and current state map with process takt time: 360 sec and lead time: 410 sec.
Improved future state map with implying Kaizen at these stages in the process flow by following standard measures in ingredient usage and following FIFO while using inventory stock and delivering orders.
Controlled results with decrease of total lead time from 410 sec to 340 sec and estimated increase of revenue to $14000 annual.

QUALITY ENGINEER INTERN

Confidential

Responsibilities:

Addressed a need in designing and manufacturing of a hook that is small, lightweight, durable, user friendly and weighing 25lbf successfully without any yield, brake and fall.
Design selection and optimization is carried out by comparing and visualizing four different processes with their deformations upon the load, surface finish, lead times, weight of the hooks and effective costs to manufacture. SOLIDWORKS ANSYS
Pointed out the variations in the above parameters and chose Hook from Fused deposition modeling/3D printing as the best process with 0.0140 inch of deformation, 0.227lb of weight, 6.5 hours of processing time and $24.56/unit production. (Quote from 3D HUBS) (Project Report)
Proposed Mathematical Models and Sensitivity Analysis with some notations, features and assumptions in evaluating decision variables and objective functions.
Examined real data of a product from a leading furniture fittings manufacturer in India to evaluate and analyze, how the behavioral pattern of decision variables and objective functions vary with respect to model parameters for both coordinated and non-coordinated three level supply chain. MATLAB
Concluded, Coordinated model has increase in annual revenue of manufacturer & distributor, ordering quantity at three stages in SC, along with increase in annual variable cost at retailer end which has negative impact on his annual revenue, but this can be reduced by following Revenue/Profit sharing mechanism among all the stages of SC. (Project Report )

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