MICROELECTRONIC ENGINEERING ROCHESTER INSTITUTE ... - People · Manufacturing vs Fabrication ......

54
Rochester Institute of Technology Microelectronic Engineering Manufacturing vs Fabrication Page 1 © November 25, 2012 Dr. Lynn Fuller MICROELECTRONIC ENGINEERING ROCHESTER INSTITUTE OF TECHNOLOGY 11-25-2012 lec_mfg.ppt Manufacturing vs Fabrication Dr. Lynn Fuller Webpage: http://people.rit.edu/lffeee Microelectronic Engineering Rochester Institute of Technology 82 Lomb Memorial Drive Rochester, NY 14623-5604 Tel (585) 475-2035 Fax (585) 475-5041 Email: [email protected] Department webpage: http://www.microe.rit.edu

Transcript of MICROELECTRONIC ENGINEERING ROCHESTER INSTITUTE ... - People · Manufacturing vs Fabrication ......

Page 1: MICROELECTRONIC ENGINEERING ROCHESTER INSTITUTE ... - People · Manufacturing vs Fabrication ... Dr. Lynn Fuller Webpage: Microelectronic Engineering Rochester Institute of Technology

Rochester Institute of Technology

Microelectronic Engineering

Manufacturing vs Fabrication

Page 1© Nov ember 25, 2012 Dr. Lynn Fuller

MICROELECTRONIC ENGINEERINGROCHESTER INSTITUTE OF TECHNOLOGY

11-25-2012 lec_mfg.ppt

Manufacturing vs Fabrication

Dr. Lynn FullerWebpage: http://people.rit.edu/lffeee

Microelectronic EngineeringRochester Institute of Technology

82 Lomb Memorial DriveRochester, NY 14623-5604

Tel (585) 475-2035Fax (585) 475-5041

Email: [email protected] webpage: http://www.microe.rit.edu

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ADOBE PRESENTER

This PowerPoint module has been published using Adobe Presenter. Please click on the Notes tab in the left panel to read the instructors comments for each slide. Manually advance the slide by clicking on the play arrow or pressing the page down key.

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OUTLINE

IntroductionFabrication vs ManufacturingManufacturing Early 1990’s, Today, Tomorrow

Semiconductor Manufacturing Includes:Factory Modeling: Logistics (Scheduling), Ramp UpFactory Floor Control, WIP TrackingCycle Time ManagementContamination Free Manufacturing, Yield, Metrology, TestProcess Integration, Evolution and Improvement,

Advanced Processes,Technology TransferTQM, CIM, SPC, 6 Sigma Manufacturing, DOE,

Statistical ThinkingCost Containment

Human ResourcesUndergraduate EducationUniversity IC Labs

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FABRICATION VS MANUFACTURING

FABRICATION involves the design and realization of a semiconductor device or circuit. The goal is achieved if one device or circuit is made to work. Research is centered on new technologies and materials, new, smaller and faster devices, novel circuits, etc.

MANUFACTURING involves the realization of a large number of semiconductor devices or circuits. The goal is achieved if large numbers of circuits are made, at low cost (at a profit), with high yield and quick turn around time. Research is centered on manufacturing methodology, operations research, statistical process control, factory simulation, process integration, etc.

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SEMICONDUCTOR MANUFACTURING IN 1991

NUMBERS FROM A MEDIUM SIZE SEMICONDUCTOR PLANT AT INTEL

WITH 5000 WAFER STARTS/WEEK, 0.7 µm PROCESS

5000 WAFERS 150 mm DIAMETER PER WEEK7 DAYS/WEEK, 24 HOURS/DAY OPERATION300 EMPLOYEESCOST OF PLANT $500 MILLIONLIFE OF PLANT 5 YEARSWAFER LOT SIZE = 25COST OF PROCESSING ONE LOT = $25,000SALES VALUE OF ONE LOT = $100,000 ($2.8 MILLION/DAY)TIME IN MANUFACTURING = 40 DAYSDISTANCE TRAVELLED IN FAB = 6 MILES13 PEOPLE TO JUST MOVE, LOAD, UNLOAD MACHINESMACHINE LOAD AND UNLOAD CYCLES = 6.8 MILLION/YEAR20,000 MACHINE LOAD AND UNLOAD PER DAYWORK IN PROCESS = 15,000 WAFERSVALUE OF WORK IN PROCESS = $60 MILLION

SOURCE: E.SHAMAH MAY 1991, SRC PRESENTATION

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SEMICONDUCTOR MANUFACTURING IN 2000

PARTIAL CIMTUNNEL AND CHASE FACILITY DESIGNCASSETTE TO CASSETTELIMITED AUTOMATIC MATERIALS MOVERSOUTPUT PARAMETER SPCEXSITU METROLOGYBATCH PROCESSINGCLASS 10 TO 1 VLFLIMITED INTEGRATED PROCESS TOOLS90% FAB YIELD60% SORT YIELD40% EQUIPMENT UTILIZATION2X THEORETICAL CYCLE TIME0.5 DEFECTS PER CM2 AT 1 MICRON100-150 mm WAFER SIZE

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SEMICONDUCTOR MANUFACTURING in 2010

200 mm Wafer Diameter (8”)

Ballroom Facility Design

8,000 wafers per week

0.18 µm5 levels metal, CMP

Cost of Plant $2 Billion

Equipment Reliability, Uptime Must be Maximized

100% Total Preventative Maintenance

Inter-Bay and Intra-Bay AutomationAdvanced WIP Tracking to Eliminate Queues

Automated Tools and Recipe Handling

Extend the Useful Life of Tools

Hug the 100% Loading Capacity

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TOMORROW’S SEMICONDUCTOR MANUFACTURING TODAY

I.C. FACTORY COST $3 BILLION

BALLROOM, MINI-ENVIRONMENTS

300 mm WAFER DIAMETER (12”)

TOTAL AUTOMATION

GIGABIT DRAMS

150 MILLION TRANSISTOR I.C.’S

LESS THAN 0.045 MICRON FEATURES

LESS THAN 0.01 DEFECTS/CM2

2000 MHZ

2 BILLION INSTRUCTIONS/SEC

1.5 VOLT

1 INCH BY 1 INCH CHIPS

400 LEADS

25 WATTS/CHIP

NEW DESIGN TOOLS FOR

BILLION TRANSISTOR CIRCUITS

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CLEANROOM DESIGN

Ballroom Design

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SEMICONDUCTOR MANUFACTURING INCLUDES

Factory Modeling: Logistics (Scheduling), Ramp Up, Factory Floor Control, WIP Tracking,

Cycle Time Management, Time to MarketContamination Free Manufacturing, Yield, Metrology, TestProcess Integration, Evolution and Improvement,

Advanced Processes, Technology TransferTQM, CIM, SPC, 6 Sigma Manufacturing, DOEStatistical ThinkingCost Containment: Cost of Ownership, Resource Modeling,

Activity Based Costing, Elimination of Non Value Added Activities

Human Resources

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FACTORY MODELING

Server1

Server4

Server3

Server2

End P2

Start P2

Start P1

End P1

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FACTORY MODELING

IFR_300mm_trailer.wmv

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FACTORY PROCESS FLOW

32

1

15

98

7

6

4

5

0

11 10

14

13

1617

RIT p-well CMOSprocess flow, 60 steps,9 photo steps, 7 oxidesteps, 6 implants

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WIP TRACKING

Logistics, Ramp Up, Factory Floor Control, WIP Tracking

Thousands of wafers say 25,000 in the factory, what to do next.300 products each with different mask sets for a total of 6000 masks to keep track of. 250,000 turns per day. 8000 wafer starts per week.

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LOGISTICS

LOT SELECTION RULES

Do Photo first

Do Oldest Lot Next

Separate Lots Current Step

Match Skill Level

Use Equipment that is Up

Apply Lot

Selection

Rules

Check

Equipment

Status

In Queue?

AccessMESALot Status

On Hold?

On Hold?

Prelininary

Quality

Check

Find

Wafers

Do Work

Follow MESA

Instructions Exactly

Do Move-In

Start Run

TimerPass ?

FINAL QUALITY CHECK

Count Wafers

Check Picture Log Book

Think

Do Results Make Sense?

Contact Person

Determine What

To Do Next

Final

Quality

Check

Yes

YesSee Lab Instructor

Yes

No

No

No

No

INITIAL QUALITY CHECK

Count Wafers

Check Picture Log Book

Think

Refer to Previous Process Step

Check MESA Move-Out Comments

START

Mesa

History

Who Did

Move-In

Find Queue Status

Step Number

Current Operation

Next Operation

Quantity

See Lab Instructor

Pass ?Clean Up

Return Wafers

Return Masks

Stop Run Timer

Move Out

Record Data

ENDNo

See Lab Instructor

Yes

Continue

A

Continue

A

Yes

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CYCLE TIME MANAGEMENT

CYCLE TIME - the time it takes to process wafers from start to finish. Various cycle times can be calculated depending on the exact definition. Usually cycle time is the number of calendar days to process a lot from start to ship. Other variations include single wafer cycle times, cycle time based on work days rather than calendar, etc.

BASELINE CYCLE TIME (work days), (BSWCT and BWLCT) - this is the cycle time at the start of a cycle time improvement program. At that point in time a CIM system data base query is done to find the cycle time for each process flow (PMOS, NMOS, CMOS, EEPROM, etc.) This is used as the reference point for measuring cycle time improvement.

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CYCLE TIME IMPROVEMENTC

ycle

time,

X f

acto

r(t

imes

theo

retic

al c

ycle

time)

161514131211109876543210

Ap

r

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec

Jan

Fab 2 Cycletime

standarddeviation

Ave

range

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DEFECT REDUCTION

Particle Count in Vicinity of Photoresist Spinner

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DEFECT DENSITY AND DIE YIELD

YIELD = e -AD

Where: A is the chip area (cm2) and D is the density of defects (# / cm2)

EXAMPLE: Chip Area is 1 cm2 and Defect density is 1/cm2

YIELD = e -1 = 37%

Jan98

Jan97

Jan96

Jan95

0.1

1

100

10 Joe Juran Methodology Continuous Measurable

ImprovementYield

Time

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YIELD AND MANUFACTURING

DIE YIELD = NUMBER OF WORKING CHIPS/TOTAL NUMBER OF CHIPS

WAFER YIELD = [WAFER YIELD / STEP](NUMBER OF STEPS)

Example: YIELD = 98%(100) = 13%

Example: DIE YIELD = 52/61 = 85%

COST OF DIE YIELD LOSS

= 5000 wafers/wk x 52 wk/yr x $5/chip x 9chips/wafer = $1.2 million/yr

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PROCESS INTEGRATION

PROCESS IS: A VARIETY OF SEQUENTIAL STEPS WHICH RESULTS IN HUNDREDS OF THOUSANDS OF TRANSISTORS BEING MADE AT THE SAME TIME ON EACH CHIP

UNIT PROCESSES ARE:DEPOSITION - CVD, LPCVC, PECVD, PVDSURFACE ALTERING - DIFFUSION, OXIDATION, ION IMPLANTATIONPHOTOLITHOGRAPHY - G-LINE, I-LINE, EXCIMER LASER, X-RAYETCHING - WET CHEMICAL ETCHING, PLASMA ETCHING, RIECLEANING - RCA, MODIFIED RCA

PROCESS INTEGRATION: IS THE SEQUENCING THE UNIT PROCESSES INTO A SERIES OF STEPS THAT GIVES THE DESIRED RESULT

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EVOLUTION OF MANUFACTURABILITY

MATURE

PROCESS

PUSH FOR NEW

PROCESS

TECHNOLOGY

PROCESS

CAPABILITY

IMPROVEMENT

NEW

PRODUCTSLOW

MANUFACTURABILITY

HIGH

MANUFACTURABILITY

NEED FASTER CHIPS

MORE FUNCTIONS

INTRODUCTION TO

MANUFACTURING

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TECHNOLOGY TRANSFER

Technology is Transferred by PeopleTrainingExchanges

Copy ExactlyAttention to DetailDocumentation

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TQM - TOTAL QUALITY MANAGEMENT

“you are not paid for coming to work. You are paid to make the product

better”

TQM is a way to run a company that focuses on continually improving how you do what you do in order to satisfy all customer needs. TQM combines management methods and statistical tools in one package and gives all members of an organization a common goal.

Quality is defined as “conformance to customer requirements”, lack of defects and the companies own standards of final product.

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CIM - COMPUTER INTEGRATED MANUFACTURING

CIM - Concept in which computer software and hardware is integrated throughout a manufacturing facility to provide integration among functions such as engineering and research, production planning, plant operations, shipping, receiving, business management, marketing, everything (including CAD and CAM)

CAD - Computer Aided Design, software and hardware tools needed to design the product including, circuit simulators, layout editors, process simulators, and more,

CAM - Computer Aided Manufacturing - software and hardware tools needed for work in process tracking, statistical process control, facilities monitoring, robotics, artificial intelligence, expert systems, and more.

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COMPUTER AUTOMATED SEMICONDUCTOR MANUFACTURING

Process EngineeringCAD, CAM, SPC START

Operation 2

Operation 1

Final Test

Operation N

SHIP

Data Collection,Lot Control,Scheduling,SPC, Rework

Facilities, Equipment,SuppliesPeople, Training, Technical Support

Expert System

Robotics

Evaluate

Feed Forward

Feed Back

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AUTOMATION

Material Handlingand Control Automation

Workflow Automation:People monitor

and manage exceptions

Equipment Automation:Hands-off

processing

Process Automation:Quality control

based on machine data

Goal:

All execution and control

fully automated

MaterialBuffer

OverheadTransport

Process&MetrologyEquipmentComputer Integration

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FULLY AUTOMATED 250,000 TIMES PER DAY

1.Processing finished2.Data to SPC and R2R uploaded3.Transport to next area started

4. Lot for next tool reserved 5. Carrier transport to tool

6. Process parameter determined

7. Processing started

Metrology

Etch

SPC: Statistical Process controlR2R: Run-to-run

Lithography

Metrology

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RUN TO RUN CONTROL

Lithography Dry Etch

Feed forward

Run-to-Runcontrol

Small fluctuations

of processingCompensation

of variationsFeed back

Run-to-Runcontrol

Measurement Parameter

adjustment

Parameter

adjustment

Goal: Automatically minimize process variations

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RUN TO RUN CONTROL

-350

-320

-290

-260

-230

-200

-170

-140

-110

-80

-50

-20

10

40

70

100

130

160

190

220

250

280

310

340

No

rma

lize

d V

alu

e (

De

lta

Ta

rge

t in

An

gst

rom

s)

10

/23

/20

05

10

/26

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05

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/29

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SAMPLE_DATE

B

D

SUBUNIT

Without R2R

Man

ual

up

dat

es

usi

ng

R2R

se

ttin

gs

With Automated R2R

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SPC - STATISTICAL PROCESS CONTROL

§ CIM system integrated with SPC software - Quality Analyst

§ operators review SPC charts before processing

§ process adjustments can be made if necessary

§ SPC alarms and actions if process violates SPC rules:

§ send notice to specific users

§ prevent further processing of job, operation or tool

§ Corrective Actions

§ List of actions (flow chart) if SPC rules are violated

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STATISTICAL PROCESS CONTROL (SPC)

0

1000

2000

3000

4000

5000

6000

0 50

Oxi

de T

hick

ness

, Å

Date

Jan

1997

Sep

1997

June

199

7

Mar

199

7

USL

LSL

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STATISTICAL THINKING

LITHOGRAPHIC ETCH CELL FORMATION

Overall VariationNo Cells

Cell 2Cell 1

Cell 3

Coat 1

Expose 1Coat 2

Coat 3Expose 2

Dev 1

Dev 2

Dev 3

Etch 1

Etch 2

36 Possible Pathswith cell formation

3 Possible Pathsand less variation

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SIX SIGMA CONCEPTS

03σσσσ3σσσσ

LSL USL

Mean

03σσσσ3σσσσ

LSL

Target Mean

USL

03σσσσ3σσσσ

LSL USL

Mean

Process Variationwithin specification

limits

Process Variationlarger than

specification limits

Process Meanoff target

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SIX-SIGMA CONCEPTS

Reduce Variation - locate 6σσσσ points within USL and LSL & Position Mean at Target

Goal of Cp=2.0, k=0, Cpk=2.0 to give less than 3.4 ppm defects

Cp = (USL - LSL)/6 σ, σ, σ, σ,

K = [Tget - µ]/(USL - LSL)/2,

Cpk = Smallest of: {(µ-LSL)/ 3 σσσσ;(USL-µ)/ 3 σσσσ }

Target

0 3σσσσ 6σσσσ3σσσσ6σσσσ

Mean, µ

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DESIGN OF EXPERIMENTS (DOE)

Power, watts40 50 60

100

200

300

Pre

ssur

e, m

Torr

Central Composite Designs

What can you measure?linear effectsinteractionsquadratic effects

# factors # runs2 93 154 255 43

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DOE, RESPONSE SURFACE ANALYSIS

Model Equation: F = 5X2 - 1.5Y - 4XY + 12

Surface Plot Contour Plot

1

0

1 0.5 0 0.5 11

0.5

0

0.5

1

0.70.6

0.55

0.5

0.5

0.45

0.45 0.45

0.45

0.4

0.4

0.4

0.4

0.35

0.35

0.35

0.35

0.3

0.3

0.3

0.3

0.3

0.25

0.25

0.25

0.25

0.25

0.2

0.2

0.20.15

0.15

0.15 0.10.1

Tilt = 10° Rotation = 30°

(normalized response, X & Y in design units)

XY

F

X

Y

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COST OF OWNERSHIP (COO)

$COO =L x TPT x Y(THP) x U

$F + $V + $Y

Where:

$COO is Cost of Ownership in $/wafer

$F is Fixed Cost

$V is Variable CostL is Equipment Life

TPT is Throughput rate

Y(TPT) is Ideal Throughput Yiels

U is Utilization

$Y is Cost of Yield Loss

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INDUSTRY NEED FOR HUMAN RESOURCES

The semiconductor industry is forecasted to grow even larger. Worldwide industry sales are projected to reach $400 billion by the year 2010. Most projections indicate that the semiconductor industry will need about 40,000 more skilled operators and technicians during the next five years and 8,000 semiconductor manufacturing engineers (Process Engineers, Product Engineers, Device Engineers, Defect Reduction and Yield Enhancement, Test Engineers, Reliability, Process Integration ) in the next five years.

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TYPICAL UNDERGRADUATE MICROELECTRONICS EXPERIENCE AT A UNIVERSITY

VLSI Design (or Digital Systems)Analog IC Design (Electronics)

IC TechnologySemiconductor Device Fabrication Laboratory

Device Physics

All have very little Manufacturing ContentApproximately 1000 students/year

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DESIGN

VLSI DesignVHDLAnalog IC DesignCircuit SimulationLayoutDesign AutomationDesign Rule Checking

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IC TECHNOLOGY

OxidationDiffusionCVD/LPCVD/PECVDPlasma EtchRapid Thermal AnnealPhysical Vapor DepositionIon ImplantLithographyTechnology Modeling

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SEMICONDUCTOR DEVICES

ElectronicsDiodes, TransistorsAnalog Building Blocks

Physics of SemiconductorsMOS StructuresTransistors

Microelectromechanical DevicesSensors & Actuators

Semiconductor DevicesCCD’s, CID’s

Non-Silicon DevicesGaAs, III-V, II-VIFlat Panel DisplaysLiquid Crystal Devices

Device Simulation

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MICROLITHOGRAPHY

Exposure Tools, g-line, I-line, 248nm, 193nm, e-beamCoat and Develop ToolsResist Materials

Positive Novalac ResistsNegative Chemically AmplifiedContrast EnhancementDyed, ARCMultilayerTop Surface ImagingDUV, EUV, X-ray

ModelingPhase Shifting MasksDUV, EUV

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MATERIALS SCIENCE

Surface Analysis

SEM, TEM (EDAX)AUGER, SIMSXPS, ESCA

Materials Processing

Thin Films (metals, insulators)CVD (LPCVD, PECVD, etc.)Plasma EtchingRapid Thermal Processing

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SEMICONDUCTOR MANUFACTURING

Operations Research - Factory Floor Simulation, WIPTracking, Cycle Time Management, Materials Resource Planning, Scheduling, Productive Maintenance

Manufacturing - Process Engineering, Statistical Process Control, Process Capability Analysis, TQM, CIM, Cycle Time, Defect Reduction and Yield Enhancement

Statistical Process Control - DOE, Statistical Thinking, Time Series Analysis

Computer Automation - CAD, CAM, CIM, SECS I,II, Robotics, AI, Expert Systems

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UNIVERSITY IC LABORATORY

Most university IC labs exist to support research. Some are also used as educational IC labs. Sometimes separate IC labs are maintained for education.

The educational IC labs in universities exist to support courses in semiconductor technology, semiconductor devices, semiconductor manufacturing, microlithography and/or materials science.

Around 40 universities have IC lab facilities

About 15 universities have large complete facilities (> 10,000 sq.ft.)

Community Colleges are also starting programs to support the semiconductor industry and they are building educational facilities

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EDUCATIONAL LAB FACILITIES

BASIC

3-6 Tubes FurnaceResist Spinner

Bake oven or Hot PlateContact Printer/Aligner

Wet Etch HoodEvaporator

Optical Microscope4pt. Probe

Groove and StainSUPREM II

Manual ProberHP4145

CMOS CAPABLE

Basic FacilityPlus All Below:

LPCVD, Poly and NitrideWafer Coat/Develop System

SteppersPlasma Etch or RIE

SputteringIon Implant

SEM, Nanospec, AlphastepSUPREM III, IV

PROLITH

ADVANCED

CMOS Capable FacilityPlus Some Of Below:

Maskmaking(e-beam or Optical)

CIM SystemEDAX, AUGER, SIMS

XPS, ESCAPackaging

Semi Automatic Probeand Test

MBE, MOCVD, RTP

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UNIVERSITIES

Arizona State UniversityBoise State University*Boston UniversityBrown UniversityCarnegie-Mellon UniversityCase Western Reserve UniversityColumbia UniversityCornell University*Duke UniversityFlorida Institute of TechnologyGeorge Washington UniversityHarvard University*James Madison UniversityMassachusetts Institute of Technology*New Mexico State UniversityNorth Carolina A&T UniversityNorth Carolina State University*Northwestern UniversityPennsylvania State UniversityPurdue University*

Rensselaer Polytechnic Institute*Rochester Institute of Technology*Rutgers UniversityStanford University*San Jose State UniversitySanta Clara State UniversityTufts UniversityUniversity of ArizonaUniversity of California at Berkeley*University of California at Santa

BarbaraUniversity of California at Los AngelesUniversity of CincinnatiUniversity of FlordiaUniversity of Illinois*University of LouisvilleUniversity of MarylandUniversity of MassachusettsUniversity of Michigan*University of Minnesota*University of Mississippi

University of NebraskaUniversity of OklahomaUniversity of PennsylvaniaUniversity of RochesterUniversity of South CarolinaUniversity of Texas at ArlingtonUniversity of Texas at Austin*University of UtahUniversity of VirginiaUniversity of WisconsinVirginia Commonwealth University*

These Universities have IC Fabrication Laboratory Facilities

* Large IC Fabrication Facilities

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TWO YEAR SCHOOLS

Central Arizona CollegeChandler/Gilbert Community CollegeGateway Community CollegeGlendale Community CollegeMesa Community CollegePima Community CollegeMission CollegeSna Jose City CollegeOrange Coast CollegePikes Peak Community CollegeAims Community CollegeValencia Community CollegeIdaho StateSouthern Maine Technical CollegeWorcester Technical InstituteAlbuquerque TVINorthern NM Community CollegeSan Juan College

Santa Fe Community CollegeLuna Vocational Technical InstituteSW Indian Polytechnic InstituteDona Ana Community CollegeUniversity of New Mexico Valencia CampusChemeketa Community CollegeOregon Institute of TechnologyPortland Community CollegeUmpqua Community CollegeLinn Benton Community CollegeAustin Community CollegeCollin County Community CollegeEastfield CollegeGrayson CollegeMountain View CollegeNorth Central Texas CollegeNorth Lake CollegeRichland CollegeTarrant County Junior College

Texas State Technical College-Harlingen

Texas State Technical College-Sweetwater

Texas State Technical College-Waco

Weatherford CollegeVermont Technical CollegeCentraliaPierce CollegeDallas County Community CollegeCollin County Community College

These Community Colleges are developing programs to Prepare students for semiconductor manufacturing

technology positions

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MICROELECTRONICS EDUCATION IN UNITED STATES UNIVERSITIES

Number of ABET Accredited EE Programs 250Students in EE Programs 100,000 = 25,000/yearStudents taking VLSI Design 5,000/yearStudents in Fabrication Courses 1,000/yearGraduate Students Studying Semiconductors 2,400=300/yearChemical Engineering Programs

with Microelectronics Courses 10Undergraduate Microelectronics Programs 10

RIT has the only ABET accredited BS program in

Microelectronic Engineering

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RIT PROGRAM

Started in the Fall of 1982ABET Accredited125 Undergraduate Students15 Masters Students5 Ph.D. Students5 year Required Co-op Program for UndergraduatesOver 1000 Graduates

Addresses all Aspects of Microelectronics Manufacturing Starting in the First Year

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REFERENCES

1. ITRS International Technology Roadmap for Semiconductors, http://www.itrs.net/

2. Semiconductor Subway,

http://www-mtl.mit.edu/semisubway/

3. Semiconductor International Magazine,

http://www.e-insite.net/semiconductor/

4. Solid State Technology Magazine, http://sst.pennnet.com/home.cfm

5. EE Times, http://www.eetimes.com/

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HOMEWORK - MANUFACTURING

1. Look at all the references listed on the previous page.