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Introduction

Design of Experiments (DOE) techniques, a branch ofapplied statistics, deals with planning, conducting,analyzing and interpreting controllable tests to evaluate thefactors that control the value of a parameter or group ofparameters. A strategically planned and executedexperiment may provide a great deal of information aboutthe effect on a response variable due to one or morefactors. DOE simply helps to pin point the sensitive parts

and sensitive areas in designs that cause problems in yield.Designers are then able to fix these problems and producerobust and higher yield designs prior going into production.

This programme gives participants a comprehensiveunderstanding of planning and conducting scientificexperiments for collecting data and analysing the data tohave fruitful conclusions. The programme has beendesigned to be generic in nature for satisfying the needs ofstudents and faculty pursuing their higher studies fromacademic institutions and industry personnel carrying outresearch in any field. Lectures will be delivered on the basicprinciples of scientific research, identifying/definingresearch problem, design of experiments, data collection,and statistical tools for analyzing data.

Course outline

Module IIntroduction, Background and OverviewOverview of basic statistical concepts, Basic principles ofDOE and Types and purposes of DOE methods

Module IIFull Factorial DesignThe basics of "full factorials", ANOVA, Factorial effects andplots and Model evaluation

Module IIIFractional Factorial DesignThe one-half fraction and one quarter of the 2

kdesign, The

general 2

k-p

fractional factorial design and Resolution III, IVand V designs.

Module IVThe Robust DesignThe basics of robust designs, Taguchi designs and RobustDesign example

Module VResponse Surface MethodologyCentral Composite Designs, Box-Behnken Design, Analysisof second-order response surfaces and Processoptimization

Module VIMulti Response OptimizationGrey-Taguchi Method, Desirability function approach, Utilitytheory, Fuzzy inference system and Principal componentanalysis

Module VIIEvolutionary AlgorithmsGenetic Algorithm, Particle Swarm Optimization, Teaching-Learning based algorithm, Harmony search, single and multi-

objective optimization.

Resource persons

Faculties from NIT, Rourkela, IIT, Kharagpur and professionalsfrom industries

Who should attend?

All practicing engineers working in private, public, governmentorganizations/industries, scientists/engineers from R&Destablishments, faculties, research scholars and students fromengineering institutions are eligible to apply.

Course fee

Professionals from Industry & R&D Units : Rs.10,000/-

Outstation Participants : Rs. 4,500/-(Faculty/Research Scholars)

The course fee includes accommodation, course materialand working lunch.Participant who attends the full course will be issued acertificate of participation.

Mode of Payment

All payments should be made through A/C payee demand draftdrawn in favour of Continuing Education, NIT Rourkelapayable at SBI, NIT campus branch, Rourkela (Code-2109).

How to apply ?

Interested participants may send their application in prescribedform along with the registration fee to the program coordinatoron or before December 3rd, 2014.

Boarding and Lodging

Accommodation on twin sharing basis will be arranged in theinstitute guest houses/hostels if registration for the course ismade on-time. The participants registering late should arrangeaccommodation of their own.

Breakfast and dinner can be availed in the guest house onpayment.

TEQIP Sponsored Short

Term Training

Programme

on

esign of Experiments: An

Optimisation Tool

Organised

by

Department of Mechanical Engineering

National Institute of Technology

Rourkela- 769008

22

nd

ec. 25

th

ec. 2014

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Mechanical Engineering Department

The erstwhile Regional Engineering College, Rourkela wasconverted to a deemed to be university and renamedNational Institute of Technology, Rourkela on 26

th June,

2002. It was declared as an institution of nationalimportance through the act of parliament on 15

th August,

2007. The institute has made a rapid stride in earning areputation as a place of higher learning in the field of

engineering during the last decade. The mechanicalengineering department is one of the oldest departmentsbeing set up from the date of inception of the institute in theyear 1961. It is the first QIP center of the institute. Thedepartment offers four specialisations under M.Techdegree and has more than hundred Ph.D. researchscholars enrolled. The department is well equipped withinfrastructure to meet the requirements of UG, PG coursesand to carry out advanced level research work.

How to reach?

Rourkela is on the Howrah (Kolkata) - Mumbai main line ofSouth Eastern railway. The railway station and intrastatebus stand are 7.6kms and 2kms from NIT Rourkela campusrespectively. The airports near to Rourkela are Ranchi,

Bhubaneswar and Kolkata. Rourkela is well connected tothese cities by rail and train frequency is very good.

Important ates

Last Date of registration :15th Dec. 2014Selection Intimation to the applicant:17th Dec., 2014(Through e-mail only)Course date :22nd 25th Dec. 2014.

Program Coordinators

Dr. Siba Sankar MahapatraCoordinator, DOEOT -2014Department of Mechanical EngineeringNational Institute of TechnologyRourkela 769008 Odisha, IndiaPh. No: 0661-2462512(O)

09437115659 (M)

e-mail:ssm@nitrkl.ac.in: doeot2014@gmail.com

APPLICATION FORM

TEQIP SponsoredShort Term TrainingProgramme

on

Design of Experiments: An OptmisationTool

(DOEOT-2014)

(22ndDec. 25thDec. 2014)

Last date of registration: 15thDec. 2014

Name:

Gender: M / F

Highest Qualification:

Designation:

Organisation:

DOB:

Address: -------------------------------------------

---------------------------------------------------------

e-mail: ----------------------------------------------

Mobile No: -----------------------------------------

Details of registration fee:

D.D. No:

Amount: Date:

Place: SignatureDate: