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2018. 01. 05. (2017-007 호 )

.,. (hschin@spri.kr)

ICT, 2017 2022 9.3%.,,,. 4,... ABCi(AI, Big data, Cloud, IoT), CPS(Cyber Physical Systems) ICT.,,,,,.,,,.,,,..,

..,,,..,,.,,,.

With the development of ICT, smart factories are emerging and spreading around the world, and their market growth is fast, with CAGR of 9.3% from 2017 to 2022. Korea's economy is highly dependent on manufacturing, but its competitiveness is declining due to various factors. In order to strengthen the manufacturing competitiveness and to lead the fourth industrial revolution, the success of smart factories is necessary, and the underlying software technology must be well integrated. However the approach to smart factories from the viewpoint of software technology is insufficient. Therefore from the viewpoint of software technology, I analyze trends and policy to propose a policy direction. The Smart Factory is a factory that converges ICT such as ABCi(AI, Big data, Cloud, IoT) and CPS(Cyber Physical Systems) and manufacturing technologies to enhance productivity and profitability by integrating manufacturing processes. Software is an integral part of building a smart factory, and software allows flexibility, intelligence, real-time, connectivity, and reliability. I have summarized domestic and overseas policies, market size, and examples related to smart factories and have analyzed the technologies applied to smart factories from the viewpoint of software. In Korea, there is insufficient awareness of the importance of software in smart factories, and there is a lack of technology related to smart factories, lack of basic software technology, and lack of experts, It was identified as vulnerable. Therefore, in order to succeed in Korea's smart factory, it is necessary to change the basic perception that it is not simply a process automation of the manufacturing industry but a new type of factory that is led by software. To achieve this, it is important to acquire the necessary level of software related to a smart factory rather than to build a large number of smart factories. To this end, effective policies are needed to overcome software vulnerabilities.

Software policy direction for the success of smart factories should clarify policy objectives, policy tasks and implementation system under a priority of comprehensive viewpoint, and strategic implementation is necessary. The policy goal should be to raise the national software capacity to top class within the shortest period to secure competitiveness of our manufacturing industry. The key challenges for this are the development of software technology, the development of human resources, and the enhancement of software companies' competitiveness. It is essential to cooperate with the relevant ministries in the smart factory implementation system and to strategically promote the construction of smart factories according to the domestic manufacturing situation.

1. 1 2.? 4 (1) 4 (2) 8 3. 13 (1) 13 (2) 15 4. 19 (1) 19 (2) 24 5. 27 (1) 27 (2) 30

1. Introduction 1 2. What is the smart factory? 4 (1) Concept of the smart factory 4 (2) Current status of the smart factory 8 3. Software technical status of the smart factory 13 (1) Software technologies of the smart factory 13 (2) Overseas Cases 15 4. Current Status and Problems in Korea 19 (1) Smart factory and software technology status 19 (2) Problems as seen from the viewpoint of software 24 5. Future policy direction 27 (1) Assessment of Policy 27 (2) Policy direction 30

1. 4, ㅇ,, 4 (ICT) 1) ㅇ 2016 1200, 2017 2022 9.3% 3), ㅇ GDP 4) ㅇ,, 5) 1) World Economic Forum(2016.1.), The Future of Jobs, Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution pp6~8 2) IoT : Internet of Things, 3) Markets and Markets(2017.4.), Smart Factory Market by Technology (DCS, PLC, MES, ERP, SCADA, PAM, HMI, PLM), Component (Sensors, Industrial Robots, Machine Vision Systems, Industrial 3D Printing), End-User Industry, and Region - Global Forecast to 2022 4) (2017.2.), 16 1

상단 직선미국, 점선독일, 파란점선일본 [ 최근한국제조업전반의성장세둔화 ] [ 주요국의제조업부가가치율비교 ] 한국 중국 4, ㅇ 4 * 30 ~ 60%. 6) ㅇ, 5) (2016.1.),, 6) (2017.1.), 4, 2

* (23%), ( 46%), ( 16%), ( 34.6%) ( 1,861,, 2016 12 ) ㅇ,, *GE, (,, ), *, 4 CPS(Cyber Physical Systems) 7) 4 ㅇ, ㅇ 7) CPS :,, (2016.11.), CPS 3

2.? (1) ( ) ICT, ㅇ ( ), 8) (2016.1.), 9) (2016.), 4

ㅇ ( ) ABCi(AI, Big data, Cloud, IoT), CPS ICT, ㅇ (SW ), *SDX(Software Defined Everything), 10) PLM :, SCM :,,, MES :, ERP :,,,,,,, 11) (Twin).,, 3 12) Edge Computing 5

*GE (Simens), ( ) ICT 14) 13),, ㆍ 14) (2015.12.), ICT 6

ㅇ,,, ㅇ CPPS,,, ㅇ IIoT,,, ㅇ,, 7

(2) ( ) 4 15) ㅇ ( ) IT, IT *,, 16) *2020,, ㅇ ( ) 4.0 ICT,, 15) (2017.2.), 4, p2 (2015.7.), (2017.4.), / LG (2017.3.) 16) President's Council of Advisors on Science and Technology (PCAST, 2012.), Report to the President on capturing domestic advantage in advanced manufacturing 8

* B2B,,, ㅇ ( ) 2025 (2015 5 ) 30 3 ㅇ ( ) (2013 ), (2014 ), 17), KIAT(2017.3.), GT, 4.0-9

( ) 9.3%, ㅇ, ICT, 19) ㅇ ㅇ 2015 32.1 2020 54.7 10.9% 20) 년도 15년 16년 17년 18년 19년 20년 시장규모 32.1 33.7 39.8 44.3 49.2 54.7 18) Touch Screen Line, 19) Markets and Markets(2017.4.), Smart Factory Market by Technology (DCS, PLC, MES, ERP, SCADA, PAM, HMI, PLM), Component (Sensors, Industrial Robots, Machine Vision Systems, Industrial 3D Printing), End-User Industry, and Region - Global Forecast to 2022 20),, 2017-2019 10

( ), (Digital Twin), IIoT,,,,, ㅇ,, ㅇ ( ), * 5,000 (75% ), 99.5% 24 21) *1 1,200, 99.9988% 22) ㅇ ( 23) ), CSF (Connected Smart Factory, ) 21) Siemens(2017.), The Digital Enterprise EWA, Electronics Works Amberg 22) (2015.), 3.0 23), 22,500 80, 11

ㅇ ( ) e-f@ctory 12

3. (1),,,, ㅇ ICT,, ㅇ IoT, CPS,, 24), 25) (2015.12.),, The Journal of Korean Institute of Communications and Information Sciences, Vol.40 No.12, IoT,,,,, 13

ㅇ,,,,, 28),,, IoT ㅇ ( SW),,, ㅇ ( ), ㅇ (IoT ) IoT 26) (2015.12.),, The Journal of Korean Institute of Communications and Information Sciences, Vol.40 No.12 27) acatech(2015.3.), Integrated research agenda Cyber physical systems, CPS,,,,, 28) KSA (2015.12.), 14

(2) ( SW) ㅇ, ㅇ3D 29) 1981 15 3D 30) 15

( ) CPS ㅇ, * GE90,. GE 31) GE IoT 16

ㅇ *icad ㅇ (IIoT ) 단체플랫폼설명 OPC Foundation OMG OneM2M OPC UA DDS OneM2M 데이터수집및제어를위한산업장비및시스템과의통신에중점을두고있으며, 다양한운영체제나프로그래밍언어에종속적이지않고, 많은오픈소스가개발되어쉽게활용할수있는 IIoT 플랫폼데이터중심통신미들웨어로국방무기체계등고신뢰성과실시간성이동시에요구되는시스템에적합하고, 최근미국에서산업 IoT 분야에적극적으로활용중임에너지, 교통, 국방, 공공서비스등산업별로종속적이고폐쇄적으로운영되는응용서비스인프라환경을통합한사물인터넷공동서비스플랫폼개발을위해발족한사실상표준화단체및표준규격 32), 3,, http://ibowsol.com/icadplus-2/ 17

ㅇ IoT IoT 18

4. (1) ( ),, ㅇ 3.0 (2014 6 ) ㅇ 2025 (2017 4 ) ㅇ IT 4 33) 33) (2015.12.), 19

단계자동화공장운영 고도화 중간수준 2 중간수준 1 기초수준 ICT 미적용 제어자동화및디지털식별이결합된 IoT 이용자동화 설비제어자동화 설비로부터실시간데이터수집바코드, RFID를이용하여기초적물류정보수집수준 엑셀활용정도 CPS, IoT, 빅데이터를이용한자가진단과제어능력을갖춘지능형생산실시간의사결정및설비직접제어설비로부터집계된실적중심의공장운영분석공정물류중심의실적관리수준시스템을갖추고있지못한상태 ( ) IoT, CPS, IT, ㅇ, * 2800 : 79.1%, 1 19.2%, 2 1.7% (2016 ), 2017 2 3 구분 자동차 전자부품 화학 섬유 금속 전체 보급율 9.8 1.9 1.3 1.0 1.2 1.5 * 67%, 83.3% (2016, ) 20

ㅇ *MES 53.8%, ERP 53.1%, 47.5% ( ), ㅇ ( ), ㅇ ( ), 34) (2017.1.), 35) (2017.3.), 21

87% ) *M&S(Modeling & Simulation) http://www.newsis.com/view/?id=nisx20170303_0014741587&cid=10401&pid=10400,. 22

( ), IoT, IoT 국내스마트공장관련소프트웨어기술 분류회사제품설명대규모디지털공장의생성및동작모의실험, 이지로보틱 DMWork 스 s 생산라인의공법모의실험, 로보틱스모의실험등을수행하는통합솔루션을제공생산설비를가상공간에모형화, 가상공장구모의실험 PLC 성을기반으로생산라인을가동하는 PLC 제어유디엠텍과 Studio 프로그램검증및시운전과라인의안정화시시뮬레이간을줄여주는솔루션을제공션실제생산현장의가상공장화공정모의실험소프트웨어로, 생산현장의문제점을파악하여개에쎄테크놀로 S-Prodi 지 s 선점도출및검증기능을통해신규공장구축, 기존공장의확장및생산효율극대화에활용 IIoT 플랫폼 IIoT 클라우드 한국전자통신연구원 전자부품연구원 삼성 EDDS Mobius ARTIK (2) 가능 OMG DDS 표준을준수하며, 22종의다양한 QoS (Quality of Service) 를제공하는 CPS 연동미들웨어전자부품연구원이개발한 OneM2M 표준을준수하는 IoT 표준플랫폼으로현재 OneM2M R2로업그레이드되어전세계 700개이상의대학및기업들이활용중임삼성전자가개발한범용 IoT 프레임워크로, 센서급디바이스로부터게이트웨이급디바이스까지다양한디바이스를지원하고, 각디바이스에서수집된정보를보안이보장되는채널로전송하는데이터공유플랫폼 ( ), ㅇ * : ( 14.12.) 57% ( 15.10.) 77% ( 16.12.) 91.9%, 2017 2 3 23

ㅇ ( ), ㅇ * SW ( =100) : (PLM) 20, (CAD) 20, (MES) 70, (SRM/SCM) 90, (2015.3.19.), 3.0 국내스마트공장시범사업공급기술점유율 (2014 년 ) 국가 점유율 (%) 적용분야 일본 59.1 핵심제어모듈 한국 34.1 기타부품 미국 4.6 센서, 영상카메라 기타 2.1 전원부품등 ㅇ, SI(System Integration) SI 36) (2017.7.), 4 R&D, 24

SI ( ),, ㅇ, *PLM, SCM, MES, ERP, ㅇ * CPS 32.8% 2020 17.1, 38) ㅇ 37) KT (2014.6.), 38) (2016.), 25

ㅇ * ( =100) : ( SW) 75.9, ( ) 76.9,, 2016 ICT * ( =100) : (CPS) 74.5, (IoT)81.5, ( )76.7, (2015.3.19.), 3.0 ㅇ 4 *,.,, 2017 4 3 26

5. (1), ㅇ, ㅇ, ㅇ * 2025 3, ㅇ 39) 3.0, 2025 27

,,, ㅇ *, 2, MES, CPS, APS, ERP, PLC, Sensor, (2017.4.20.), 2025 ㅇ *,,, ㅇ 40) (2017.7.), 4 R&D, 28

부처명 세부사업명 2016년예산 ( 백만원 ) 산업통상자원부 센서산업고도화전문기술개발사업 9,078 산업통상자원부 로봇산업핵심기술개발사업 72,193 산업통상자원부 스마트공장고도화기술개발 9,945 산업통상자원부 산업기술융합기반구축 ( 스마트제조혁신 ) 75,481 산업통상자원부 기계산업핵심기술개발 ( 제조생산시스템 ) 1,000 과학기술정보통신부 사물인터넷융합기술개발 8,030 과학기술정보통신부 ICT산업융합보안솔루션개발 2,850 과학기술정보통신부 USN산업융합원천기술개발 1,497 합계 180,000 ㅇ IT, ㅇ, ㅇ 29

(2),,, 3 * 3.3 (2015 ),, ㅇ * 79.2% (2.7 ), (2.2 ), DBMS(2.1 ) 30

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[ ] ㅇ, * Framework Programme 7 ARTEMIS Embedded / Cyber-Physical Systems(2014~2020) 41) * (2007, 2010 ) CPS, 2009 National Science Foundation 41) https://artemis-ia.eu/, artemis 33

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President's Council of Advisors on Science and Technology (PCAST, 2012), Report to the President on capturing domestic advantage in advanced manufacturing Siemens(2017.), The Digital Enterprise EWA, Electronics Works Amberg World Economic Forum(2016.1.), The Future of Jobs, Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution pp6~8 3. ( ) (2017.3.), http://www.newsis.com/view/?id=nisx20170303_0014741587&cid=10401&pid=10400,.,, 2017-2019 https://artemis-ia.eu/, artemis 35

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