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k-smartfactory.org 세미나

제조업의 미래생존전략 -

스마트팩토리 실증적 구축 사례 및 동향

일시 : 2018년 3월 29일 (목) 장소 : COEX 3층 컨퍼런스룸 317호

K스마트팩토리 운영사무국

TEL : 02-737-6620 / EMAIL : dj@imdp.kr

k-smartfactory.org 세

미나

제조

업의

미래

생존

전략

- 스마

트팩

토리

실증

적 구

축 사

례 및

동향

주관 : 주최 :

주최

:주

관 :

일자 세미나 내용 비고

13:00~13:30 참가자 접수

13:30~14:30 인공지능기반의 예지정비 기술사례 한국인더스트리4.0

박한구 대표

14:30~15:30생존을 위한 중소 · 중견 기업의

스마트팩토리 추진방안

ENW

손경수대표

15:30~15:50 Coffee Break

15:50~16:50중소 · 중견 기업의제조혁신과

스마트팩토리 추진사례

EPM 솔루션즈

박정윤 대표

16:50~ 폐회

K-SmartFactory.org 세미나

제조업의 미래생존전략 –

스마트팩토리 실증적 구축 사례 및 동향

일 시 2018년 3월 29일 (목) 13:30~17:00

장 소 COEX 3층 컨퍼런스룸 (317호)

한국인더스트리4.0

박 한 구 대표

인공지능기반의

예지정비 기술사례

K-SmartFactory.org 세미나

1

2

CEO)

POSCOPOSCOPOSCO

Professional Experience

NOTE

3

4

NOTE

5

6

NOTE

7

A A1

A2

A3

An

A11

A12

A13

A21

A22

A111

A112

A113

,

,

+

8

NOTE

Predictive Maintenance

NOTEPRECOGNIZE

(beta)

( )

3~4

( )

2( , )

+

NOTE

Specific prediction

Technology evolution

Control

Valu

e

Pure ML (failed)

IoT

Trending

.

50

.(“ ”)

NOTEPrecognize Machine Learning

tag1

tag3

tag4

tag2

tagN

tag3

tag4

tag2

distance

tN

Historical data

Unsupervised process

Normality clusters

saved

Precognize ( )

( tN)

Baseline ML

Model

,

\ machine .

Based on ISO Standard 19450

NOTE

Clear Alert

Outcome

Data

Historical Data

Machine LearningEngine

Baseline ML model

anomalies

Experts

Graph AnalysisEngine

System Model

s

gggna

NOTE

.

3 2 (no hardware, read-only)

&

:- 96 %

- , ( )

-

- 5,000

NOTE

*

CSV ExportCSV file

CSV File Virtual\Physical machine

12 core, 32Gb RAM

SFTP(read-only)

HTTP(S)

Simple Script via Historian tools or Excel

PRECOG

*PRECOG . .

HistorianBrowser

(Chrome\Firefox)

NOTE

Predictive Maintenance

(Abnormal Operation) 9(Bad Sensor) 9

(Other) 3(Part Failure) 4

Ambient Conditions) 3(Planned Maintenance) 1

29

(cold division)3,000

4

NOTE

(Flare) : 2017 9 1 18:45:

: 2017 8 8

22

Flare event on 1-9-17 18:45Cause: Valve malfunction Active from 8/8/2017No indications from manual observations of the data

NOTE

� 2

�(Flare)

� PRECOGNIZE,

� Shut-down ,

�. ,

. . $ 50,000 .

� , .

� 2

� . .

� PRECOGNIZE 2,500 .PRECOGNIZE ( )

. $ 100,000

� ( ) PRECOGNIZE.

NOTE

, , Fast Mover.

Data Data

Plant Mechanical Availability 96%Plant Process Availability (if known)

Plant Utilization Average cost of fixing of compressor, pump (parts, manpower) 50,000$ Average revenues per day ($) 1,250,000$ Number of annual overhaul days (based on overhaul period) 7Annual Loss ($) 9,500,000$ Assumed prevention Rate 50%Annual Saving ($) 4,750,000$

Number of Critical Systems without redundancy 30Assumed reduction of fixing cost in case of early detection for rotating equipment 30%

Every how many years a failure event happened to Critical Systems 12.5 Reduction of cost of replacement 40,000$ Estimated Average days for resolution 30 Reduction of fixing costs 450,000$ Potential Damage per event ($) 37,500,000$ Assumed prevention rate 50% Cost of annual insurance ($) 5,000,000$ Calculated annual damage based on probability ($) 1,500,000$ Diductable amount ($) 6,000,000$

probability of insured event 5%Number of people on maintnence team 12 cost of event ($) 20,000,000$ Precentage spent on unplanned maintnence 50% Assuming lowering the cost (% of discount) 5%

40.0 Calculated annual saving of deductibles ($) 250,000$

cost of maintenance man\day ($) 720$ Number of flare events because of operational failure\mistake annually beyond standard

Assumed reduction of maintenance work 15%Assumed reduction of overtime work 30% 10,000

Annual Saving on maintenance work ($) 162,000$ Annual Saving on overtime maintenance work ($) 207,360$ Assumed percentage of events that can be prevented 50%

Annual reduction of costs related to flare 25,000$

Average overtime per person (nights, weekends) spent on unplanned maintnenance a month

Assumed cost of each failure event (bad PR, fines, burn of fuels, energy costs)

Total Annual Savings 7,384,360.00

5Labor

Insurance

Environmental and branding

Shutdown costs Damage to

rotating equipment that

can be prevented or

reduced

Number times late replacement of cyclone\Demisters other sensors caused damage to equipment a year 1

Number of times compressors, pumps and similar parts are being fixed annually

75

Average cost of regular fix of compressor, pump (parts, workshops) 20,000$ Assumed percentage of prevention of replacement by early detection of cyclone\demisters problems 80%

Risk Costs

NOTE

Preparation

,

Modeling workshop(2 weeks)

Cold run(2 weeks)

PRECOG (3 )

Using the Precognize(3 months)

•1•

•• VPN

<< >• -• - 1

• -

• - IT

•<PRECOGNIZE >• - ( , )• -

• 2

02-881-5562 | hanpark07@gmail.com

www.smartmnf.com

Preparation

,

Modeling workshop(2 weeks)

Cold run(2 weeks)

PRECOG (3 )

Using the Precognize(3 months)

•1•

•• VPN

<< >• -• - 1

• -

• - IT

•<PRECOGNIZE >• - ( , )• -

• 2

02-881-5562 | hanpark07@gmail.com

www.smartmnf.com

ENW

손 경 수 대표

생존을 위한

중소•중견 기업의

스마트팩토리 추진방안

K-SmartFactory.org 세미나

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EPM 솔루션즈

박 정 윤 대표

중소 • 중견 기업의

제조혁신과

스마트팩토리 추진사례

K-SmartFactory.org 세미나

1 Copyright © UNIST & EPM Solutions. All rights reserved.

4

,

2018.03.29

2 Copyright © UNIST & EPM Solutions. All rights reserved.

( , , ) – .

NOTE

3 Copyright © UNIST & EPM Solutions. All rights reserved.

? – ?

/ / /

/ / / ( )

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? – ?

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/ / / ( )

4 Copyright © UNIST & EPM Solutions. All rights reserved.

5 Copyright © UNIST & EPM Solutions. All rights reserved.

6 Copyright © UNIST & EPM Solutions. All rights reserved.

Source : 5 , (2017. 4. 12)

NOTE

7 Copyright © UNIST & EPM Solutions. All rights reserved.

(Key Factors of Digital Transformation)

8 Copyright © UNIST & EPM Solutions. All rights reserved.

Source : EPM Solutions 2016.07

Digital Integration of Value Chain & Supply Chain ( )

NOTE

7 Copyright © UNIST & EPM Solutions. All rights reserved.

(Key Factors of Digital Transformation)

8 Copyright © UNIST & EPM Solutions. All rights reserved.

Source : EPM Solutions 2016.07

Digital Integration of Value Chain & Supply Chain ( )

9 Copyright © UNIST & EPM Solutions. All rights reserved.

� : 2017 50 (3%), 2025 1,500

10 Copyright © UNIST & EPM Solutions. All rights reserved.

NOTE

11 Copyright © UNIST & EPM Solutions. All rights reserved.

12 Copyright © UNIST & EPM Solutions. All rights reserved.

NOTE

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13 Copyright © UNIST & EPM Solutions. All rights reserved.

- OEM ?

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- ODM, OBM ?

- ?

123,661 (99.4%), 2,530 (77,4%)748 (48.3%), 260 (51.2%)

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Source :

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NOTE

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20 Copyright © UNIST & EPM Solutions. All rights reserved.

Smart Manufacturing Support Platform (SME)

Toolkit

� (2016~2019)

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Learning Center

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20 Copyright © UNIST & EPM Solutions. All rights reserved.

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21 Copyright © UNIST & EPM Solutions. All rights reserved.

- 4

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Strategy & Plan(1M~)

Smart Product & Service(3M~)

Smart Factory(Production) (3M~)

Business Model Innovation (1M~)

Globalization(3M~)

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[4 - 16 ]

[1 : – 14 ]

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24 Copyright © UNIST & EPM Solutions. All rights reserved.

NOTE

23 Copyright © UNIST & EPM Solutions. All rights reserved.

[ ]

[ , ]

24 Copyright © UNIST & EPM Solutions. All rights reserved.

25 Copyright © UNIST & EPM Solutions. All rights reserved.

SMC (Sheet Molding Compound)

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, ,

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35 Copyright © UNIST & EPM Solutions. All rights reserved.

36 Copyright © UNIST & EPM Solutions. All rights reserved.

: (010-2852-5911, epmpark@unist.ac.kr)

UNIST 4 (052-217-3113, taeseok.jeong@unist.ac.kr)

.

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