Quality Engineering

S hrenik S. Luniya

*** *********** ***, *******, **-14226 P hone: +1-716-***-**** E -mail:

********@*******.***

Objective: Seeking a fulltime opportunity with a company in the field of Mfg. / Quality/ SCM to effectively utilize

my skills in the area of Six Sigma, Material Planning & Process control.

Summary:

• Masters level Industrial engineer with experience in supporting manufacturing operations & Quality

i mprovement

• Experience in employing lean six sigma tools to reduce industrial wastes & increase the productivity

• Ability to determine and establish the most efficient methods for maximum utilization of production

facilities.

• Excellent interpersonal skills, effective oral and written communication skills, reporting, meeting

and analytical skills

• PC proficiency in working with MS Office, AutoCAD and working knowledge of process control

tools & techniques

Educational Background:

M aster of Science i n I ndustrial and systems Engineering

(Expected: Dec’14)

U niversity a t Buffalo, The State University of New York – NY, USA

GPA:3.5/4.0

B achelor of Engineering in Mechanical Engineering

(June’12)

U niversity of Pune, I ndia.

GPA:3.5/4.0

R elevant Coursework:

Graduate courses: Six Sigma Quality, Production Planning and Inventory Control, Quality

Assurance, Design & Analysis of Experiments, Supply Chain & Global Operations, Logistics, Facility

Design.

Undergraduate courses: M achine design, Manufacturing Processes, Automobile engineering,

Refrigeration and Air Conditioning, Structure of machines, Design of machines.

Technical Skills:

• Engineering competencies: Continuous improvement, Value Stream Mapping, SPC, AIAG, APQP and

PPAP, 5S system, DMAIC Implementation, Kaizen Principles, Lean Six Sigma methodologies

I nventory management, PPAP, Capacity Planning, Operations Scheduling, Work force

management/Aggregate planning, G D&T

• Design software: AutoCAD, CATIA, ANSYS, MATLAB

• Desktop software: M S Word, MS Excel, MS PowerPoint, MS Outlook, C, C++

• Packages: MS Visual Studio

• Statistical software: M IN ITAB 16, LogWare

R elated Work Experience:

Executive, Modification section in Business Development Dept., Cranedge (I) Pvt. Ltd, Pune, India

(July’12-June’13)

• Studied the plant layout in reference to material handling for efficient modernization of EOT cranes

• Executed time and motion study on the final assembly line thereby reducing cycle time by 2-4%

and improving working environment thus making the job easier, safer & faster

• Collaborated with the design team to suggest optimum solutions for crane modification

• Implemented DFMEA to identify the failure modes & their consequences, using the product design

• Estimated the costing of the entire project & submitted the Quotation to the client

Engineering Intern, Transmission dept., Force Motors Ltd., Pune, India.

(Jan’11-June’11)

• Executed a root cause analysis to detect the main causes of rejections in crown wheel

• Implemented process FMEA to study gear failure & identify failure mechanisms

• Implemented DMAIC to reduce defects & improve the process in manufacturing saving around

$2500 annually

• Designed & fabricated a Gauge using the Catia V5 R19, for measurement of the bore diameter

and check the concentricity of the bore with the tapped holes of a Crown Wheel

P rojects:

Implementing Six Sigma techniques at M ikey’s Way organization: Six Sigma Quality

(Aug’13-Dec’13)

• Implemented DMA IC methodology approach of six-sigma to define the issues in existing procedure to

optimize the order quantity, quality and service level and implemented Lean methodologies for the

reduction of wastes.

• Acquired & analyzed the data using statistical software M initab & delivered optimal solutions to

i mprove business processes.

• Measured the process using process chart, root cause analysis, Implemented KPIV-KPOV format for

data representation, improved the process & controlled using process FMEA, WHY- WHY analysis &

cause-effect.

• Mapped the current value stream map and future stream map for assuring continuous process

i mprovement.

• Extensively used M ini tab software and after implementing DM IAC, i t resulted in 20% increase in

service levels of organization.

• Improved the response of the organization in limi ted resources from current 22 days to 27 days in a

year

• Incorporated 5S and Kaizen to reduce the setup t ime to organize M ikey’s Way Day

• Performed a customer satisfaction analysis and created a feedback mechanism for the organization.

• Examined the process to determine the non-value added activities and reduced them by almost 30%

A nalysis of safety stock levels at Forbes Ma rshall: Production, Planning & Inv. Control

(Aug’13-Dec’13)

• Out of 1477 i tems used to make boiler 192 i tems were more than required safety stock and 524 i tems

were lesser than the required safety stock

• Rectified the existing safety stock levels by using (Q-R) continuous review model

• Implemented KANBAN system for the bulk i tems

• Reduced the Holding costs and shortage costs which resulted in total saving of $11,300

Statistical Quality Analysis to develop 9V Battery: Quality Assurance

(Jan’14-May’13)

• Achieved the main objective of developing a 9V battery using limited resources & varying main

parameters

• Reduced the variability in the multimeter by conducting Gauge R & R, linearity studies.

• 9V battery achieved by selecting the correct parameters using DOE and CCD

• Ensured the stability & consistency of the battery by determining the process capability & analyzing

control charts

Design & Analysis of Experiments

(Aug’13-Dec’13)

M ini Project 1:

• Achieved the primary goal to formulate a mix that produces a moister cake than the current “super-

moist” version

• Used M initab software and performed A NOVA and D unnett’s test, analyzed the data and residual

p lots

• Recommended the correct cup cake mix that can be int roduced in market against the competitor

M ini Project 2:

• A new lab process was having problems in producing batches of pure material. To be acceptable, there

had to be less than 50 mg of by-product in each batch of 100 gm.

• Used Minitab Software tools like t reatment design of fraction factorial, Alternate factorial and full

fold over design and analyzed the data and residual plots.

• Optimized the parameter settings in order to make the solution acceptable.

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