1. Maping out an industry strategy, up front
1.1. to transform Msian manufacturing industry to be smarter, systematic and resilience
1.2. evaluate digital maturity by
1.2.1. see
1.2.2. adapt to technology
1.2.3. understand
1.2.4. prepare
1.2.5. by
1.2.5.1. value stream mapping
1.2.5.2. material information flowchart
1.2.5.3. SWOT analysis
1.2.5.4. benchmarking studies
1.3. SMART tools
1.3.1. specific
1.3.2. measurable
1.3.3. attainable
1.3.4. time based
1.3.5. relevant
2. Simulations
2.1. Approx. imitation of the operation of a process or system that represent its operation in the real world
2.2. Used to leverage real-time data mirror the physical model
2.3. Drive down machine setup time Increase quality
3. Cybersecurity and data protection agreements.
3.1. Defending data, programs, computers & network from unauthorized acess
3.2. Thing to do before implemention
3.2.1. security risk evaluate
3.2.2. minimize recovery window
3.2.3. recover from disaster scenarios
3.2.4. backup & recover technologies
3.3. Aim
3.3.1. reduce resources overhead & management burden
3.3.2. enhance security through encryption
3.3.3. avoid downtime
3.4. Types
3.4.1. operational security
3.4.2. application of security
3.4.3. network security
4. Checking connectivity in integrating cyber-physical system and IOT
4.1. Data must be able to be transmitted across the organization thru the cloud
4.2. Integrate sensing, computational, control & networking into physical object
4.3. Modern control system, embedded software system & connected to IoT
4.4. Level of Industry 4.0 implementation
4.4.1. sensors & actuators
4.4.2. system & internal services
4.4.3. connectivity
4.4.4. new services & ecosystem
4.4.5. enterprise planning level
4.5. Enable new ways of production, value creation & real-time optimization
5. Check Cloud Readiness
5.1. Storing and acessing data & programs over the internet
5.2. Perform cloud readiness assessment before implementing
5.3. Cloud computing
5.3.1. on demand availability of computer resources without direct active management by the users
5.4. Things to be considered
5.4.1. meet key business operations stakeholder
5.4.2. prepare all the staffs
5.4.3. processes
5.4.4. technology
6. Big data
6.1. Extracting & analyzing massive amount of data sets in order to gain meaningful information
6.2. To ease decision making
6.2.1. data must be analyzed
6.2.2. to make full use of its potential
6.3. Characteristic of data, 8V
6.3.1. volume
6.3.2. velocity
6.3.3. variety
6.3.4. veracity
6.3.5. visualization
6.3.6. value
6.3.7. viscosity
6.3.8. virality
7. The Internet of Things, IoT
7.1. system of interrelated computing devices, mechanical and digital machine provided
7.2. Ability to transfer data over without interaction
7.3. Applications
7.3.1. smart homes
7.3.2. connected vechicles
7.3.3. smart cities
7.3.4. smart manufacturing
8. Addictive Manufacturing
8.1. 3D printing is process that build 3D object from CAD model
8.2. Use to produce small batches of customized products
8.3. Uses of AM
8.3.1. on demand manufacturing
8.3.2. design innovation
8.3.3. mass customisation
8.4. Enable
8.4.1. bypass high tooling cost
8.4.2. producing customized parts
8.4.3. faster & more cost efficiently
8.5. Before implenting
8.5.1. identify potential applications
8.5.2. develop own center of excellence
8.5.3. work closely with service providers & manufacturers
8.5.4. consider workflow and hardware
8.5.5. partner with universities and research instituitions
9. Augmented Reality
9.1. Interactive experience of a real-world environment, enhanced by computer-generated perceptual information
9.2. AR in manufacturing is 3D view
10. Autonomous Robot
10.1. Machines capable of performing tasks independently without human intervention
10.2. Types of industrial robot
10.2.1. articulated robot
10.2.2. cartesian robot
10.2.3. SCARA robot
10.3. Factor to be considered
10.3.1. load
10.3.2. orientation
10.3.3. speed
10.3.4. precision
10.3.5. duty cycle
10.3.6. travel & environment