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Germany:Internet of Things & New Technology in Industry 4.0

(Course Code: ST171027)

This is the pre-approved NTTS course. Eligible trainee can obtain maximum HKD19,780 training grant reimbursement from the Hong Kong Government. Maximum two staff from one company can apply

for this grant. For detail, please visit:

http://www.proact.edu.hk/proact/html/tc/training-schemes/technology.html

Date: 2017.10.27 - 2017.11.5

                                                                           Co-organizer:

Place: Germany, Stuttgart & Munich

Language: Putonghua / English

Application Deadline: 2017.09.15

Fee: 

Twin Room: HK$42,000 (Visa & Travel Insurance are not included)

Single Room: HK$46,000 (Visa & Travel Insurance are not included)

Application & Payment Method:

Fill in the application form (with a recent color photograph) and a copy of passport,send e-mail to: jacky@ced.edu.hk,or fax: 2770 3230

Crossed cheque mail to:

3/F., 201 Java Road, North Point, Hong Kong

Please make your cheque payable to "CED School of Business"

Course Fee includes:

Hong Kong-Germany round-trip ticket, hotel fees, breakfast and dinner, transportation fees, company visiting fees, training fees, attractions tickets and the fees of Hong Kong leader, Local guide and Putonghua interpreter (all tips are included).

Course Fee NOT includes:

Visa fee, travel insurance fee, fee of overweight baggage, all personal fees (e.g.:laundry, telephone, pay television fee, mail fee, Internet access fee, etc), tour coach overtime fee due to the tour members, loss and compensation caused by personal negligence and illegal issue, medical expenses and the fee of injury caused by activities outside itinerary.

Introduction:

‘Industrial 4.0’ is a high-tech strategy’s concept raised by German in 2013, which promotes the computerization of manufacturing, and has aroused broad attention nowadays. Under the current trend of automation and data exchange in manufacturing technologies, Industrial 4.0 includes cyber-physical systems, the Internet of things and cloud computing. This new industrial trend creates what has been called a "smart factory", the fourth industrial revolution. Within the modular structured smart factories, cyber-physical systems monitor physical processes, create a virtual copy of the physical world and make decentralized decisions. Over the Internet of Things, cyber-physical systems communicate and cooperate with each other and with humans in real time, and via the Internet of Services, both internal and cross-organizational services are offered and used by participants of the value chain.

 

By combining the traditional industrial technology with the cyber-physical system, the world is attempting to integrate informationization and automation. At the meantime, it also markedly enhances the mergence and communication between human being and technology or machines. Especially in recent years, China vigorously promotes the ‘Made in China 2025’, which correspond to ‘Industrial 4.0’ just in time. These gives a further impetus to the Mainland and Hong Kong’s enterprises’, allowing them to develop intelligently and professionally.

Course Objectives:

1. Enable delegates to fully understand the essence of German industry 4.0, learn operation models of smart factory and smart manufacturing.

2. To discover how to use the IoT, combine internet and internet of things, information networks and service, robots into a smart production capacity.

3. To enhance the overall operational capacity of enterprises.

4. To discuss how company can do to up-grade the competitiveness.

Course Outcome: 

Upon completion of the course, the delegates can obtain a clear understanding about the secure implementation of embedded hard and software with respect of side channel analysis’ result, and the architectures for secure hardware/software systems, tools to support developers in designing secure systems. Also, the course will deepen delegates’ knowledge about reliable protection for safety-critical information based on a combination of software and hardware.

       

Moreover, the delegates can maintain a better understanding on how cloud, cyber and mobile technologies can augment the traditional robotics operating technologies. Not only knowing the fascinating history of the German brand, but also afford illuminating insights into the future, or identifying and working with new ecosystem partners.

 

Apart from that, the delegates are able to find the software/app to meet with the enterprise’s need, in order to analyze the factory operation data, or realizing the intelligent control of the production line. Even more, they are able to exploring the connected vehicle ecosystem in 2017 from self- driving cars & ADAS to motorcycles, and discovering the importance of cloud platform

 

This course will be conducted in Germany. The delegates will attend the lectures, workshop, case studies and exchange knowledge with the experts to learn the new innovative technologies.

Course Content:

 

27/10/2017

Fly from Hong Kong to Stuttgart, Germany

 

28/10/2017

Origin of Industry 4.0 and its concept, what are the important signals that should be collected for industry 4.0

    A. Interoperability — machines, devices, sensors and people that connect and communicate with one another.

    B. Information transparency — the systems create a virtual copy of the physical world through sensor data in order to contextualize information.

    C. Technical assistance — both the ability of the systems to support humans in making decisions and solving problems and the ability to assist humans with tasks that are too difficult or unsafe for humans.

    D.Decentralized decision-making — the ability of cyber-physical systems to make simple decisions on their own and become as autonomous as possible.

29/10/2017

1. Visit Mercedes-Benz Museum

2. Components of German industry 4.0 and the benefits vs challenges

    A. Components

        - Cyber-Physical Systems

        - The Internet of Things (IoT)

        - The Internet of Services (IoS)

        - Smart Factory

        - Future Employment

    B. Benefits

        - Optimization

        - Custmization

        - Pushing Research

    C.Challenges

        - Security

        - Capital

        - Employment

        - Privacy

30/10/2017

1. Visit Bosch

    A. Robot arms production line process discovery

    B. Intelligent transportation, experience Bosch's autopilot technology and the new artificial intelligence (AI) car computer for autopilot vehicles

    C. Discover the importance of Bosch's cloud platform (car networking, industrial internet and intelligent building, etc.)

    D. Internet of Things, experience the interconnection of the electronic products produced by the company (intelligent home, through the sensor to find parking spaces, sensor detect farmland soil temperature/water control, etc.) 

    E. Future development plan, exchange views

2. Industry 4.0 models’ introduction, application on artificial intelligence and robot

    A. The new business models in Industry 4.0 era

    B. Application of AI: Intelligent Simulation Systems, Intelligent Information Resources, Sensors, Effectors, etc.

    C. Application of Robot: Hard-working Robots, transporters, Insensible Steel Giants, Servants and Toys, etc.

31/10/2017

Develop and evaluate security mechanisms in IoT equipment (8 hours)

    A. Industries Vulnerable to Remote IoT Device Hacking

    B. A Basic Checklist of Issues to Address

    C. An IoT Security Framework

    D. Special Considerations for Cost, Size, and Power Sensitive IoT Applications

    E. Case Studies

        - Intel

        - Microsoft

1/11/2017

1. Real Time Manufacturing Intelligence

    A. Continuous Control System Monitoring (CCSM)

    B. Effective Data Management

    C. Cost savings and increasing productivity

    D. Remote monitoring and decreasing downtime

2. Visit KUKA Robotics

    A. Introduce the robot production line

    B. KUKA's smart factory using solutions by Microsoft and platform (Watson IoT) by IBM to connect and to control assembly-line robots and other devices

    C. KUKA control system discovery

    D. Future development plan (cooperate with Huawei in cloud computing, big data, mobile technology and industrial robots to help manufacturing customers transform and embrace smart manufacturing), exchange views.

2/11/2017

Application of Industry 4.0 on PCB Industry

A.    Application of AI on production line

B.    Does IoT play a role in PCB industry?

C.    Real Time Manufacturing in PCB Industry

D.    Case Studies

        - Schweizer AG

        - Würth Elektronik

3/11/2017

Necessary equipment and technology for Industry 4.0

A.    Digital Engineering Lifecycle management

B.    Importance and application for connected equipment

C.    Virtual Reality's (VR) role in Industry 4.0 and its usages in different sector

D.    Facilities for production process tracking

E.    Case Study

        - Schneider Electric

4/11/2017

1. How the German companies succeed in industry 4.0 & application to Hong Kong industries

A.    Industry 4.0 vs Industry 3.0

B.    Application of the Intelligent Planning and Scheduling Management (IPS) and the Intelligent Manufacturing Execution System on the production system

C.    Successful Management on the workforce of industry 4.0, such as big-data-driven quality control, robot-assisted production, self-driving logistic vehicles, etc.

D.    Application of industry 4.0 to Hong Kong industries

        - Smart Factory – Self-optimize production to cut cost

        - Customer-oriented Market – Meet the needs of Hong Kong people fast and smoothly

        - Development and Research on IT security – create more jobs in IT related industries

        - Development of intelligent vehicles and smart traffic system in high-dense population city such as Hong Kong

2. Visit: Siemens

A.    The SIMATIC Industrial Automation System (including centralized and distributed automation systems), introduction of controllers, software, programming equipment, etc.

B.    The Totally Integrated Automation System (TIA) operating procedure, introduction of this system and questions answering

C.    The operation of MindSphere system, exercise- try to find the software/app to meet the enterprise’s need to analyze the factory operation data, realize the intelligent control of the production line (predictive equipment maintenance, remote fault diagnosis, product tracking, energy management, resource optimization, etc.)

5/11/2017

Fly back to Hong Kong from Germany, Munich

* CED School of Business reserves the right to change the program agenda according to the actual circumstances.

Enquiry

Tel: 2770 3033, 2153 9887

Email: training@ced.edu.hk