Industrial IoT and Business Operations · Study deck

Industry 4.0: Industrial Revolutions and Adoption

A factory has proved that one monitored machine can warn staff before a stoppage.

Ada is your guide for this deck.

iiot

Ada, the module guide, in a scene from this chapter.

After studying this chapter

Learning objectives

You will be able to:

Explain: They also identify new composite industries such as precision agriculture, digital healthcare, and digital mining as sources of new roles while highly automated work reduces demand for some unskilled tasks.
Explain: An IIoT proposal should name which task moves to a machine, which decision remains with a person, which skill the new workflow requires, and how the operator can intervene.
Explain: The slides connect that shift to lower-cost automated tasks, human supervision of more capable machines, and workers whose roles increasingly require digital and analytical skills.
Explain: Weak links or missing context make later action unsafe.

Major section

Steam to Cyber-Physical Systems

Electricity enables conveyor belts.

A Programmable Logic Controller (PLC) receives a digital blueprint, then automatically mills, drills, and shapes metal with zero human intervention.
Industry 4.0 (2011+): The same CNC machine now has vibration sensors detecting bearing wear 2 weeks before failure.
Industry 4.0's superpower is coordination - machines talking to each other and making decisions collectively.

Major section

ISA-95 Automotive Integration

The plant must integrate OT on the factory floor with IT and enterprise systems following ISA-95 boundaries.

The challenge: Customer order change arrives at Level 4 (ERP) requiring panel type switch mid-shift.
A plant running twins today still runs motors, controllers and a line somebody built decades ago.

Timeline showing the four industrial revolutions from mechanization to cyber-physical systems, with key technologies and productivity impacts at each stage.

Major section

Industry 4.0 Fundamentals Check

Each new tool changes both work and output.

Human effort gives way to machines.
Relay logic becomes software.
Digital skills then help teams run joined systems.
The output figures show scale, but they are not equal promises.

Four-column comparison of industrial revolutions showing how each revolution builds on the previous, with changing workforce requirements from mechanized work to digital and analytical skills.

Major section

Connected Ecosystems Change the Work

The slides connect that shift to lower-cost automated tasks, human supervision of more capable machines, and workers whose roles increasingly require digital and analytical skills.

An IIoT proposal should name which task moves to a machine, which decision remains with a person, which skill the new workflow requires, and how the operator can intervene.
A robot that senses, reasons, and acts still needs a defined human-supervision boundary.
They also identify new composite industries such as precision agriculture, digital healthcare, and digital mining as sources of new roles while highly automated work reduces demand for some unskilled tasks.

Major section

Hazards and Interoperability Stay in the System

Its hazard list includes hazardous substances, oxygen deficiency, particulates, radiation, and physiological stress.

Standardization is presented as the route to better system and application interoperability, with unresolved boundaries at semantic meaning, security and privacy, and radio access.
The named product examples make that boundary concrete.
Prediction uses models to warn of likely failures.

Six maturity stages build from computerization and reliable connectivity through visibility, causal understanding, prediction, and adaptable decisions.

Major section

Hazards and Interoperability Stay in the System (continued)

The final stage allows the system to adapt on its own.

A connected deployment therefore needs both a hazard record and an interoperability record; connecting more equipment does not remove either responsibility.
The next stage adds past context so teams can explain causes.
Weak links or missing context make later action unsafe.

Deck summary

Key takeaways

Electricity enables conveyor belts.

The plant must integrate OT on the factory floor with IT and enterprise systems following ISA-95 boundaries.
Each new tool changes both work and output.
The slides connect that shift to lower-cost automated tasks, human supervision of more capable machines, and workers whose roles increasingly require digital and analytical skills.
Its hazard list includes hazardous substances, oxygen deficiency, particulates, radiation, and physiological stress.

Retrieval practice

Recall check 1 of 2

Ada says: answer from memory, then check your reasoning.

Q1A plant wants an enterprise planning system to command a press directly. Where should the fast decision stay?

AIn enterprise planning because it has more storage

BIn the local control path, with summaries sent upward

CIn a monthly finance report after the press has stopped.

DIn an internet dashboard that refreshes when convenient

Show answer

Answer: B Fast control belongs near the machine; higher levels can receive context.

Retrieval practice

Recall check 2 of 2

Ada says: answer from memory, then check your reasoning.

Q2A manufacturing plant manager wants to implement Industry 4.0. They plan to add temperature sensors to 50 machines and log data to a spreadsheet for weekly review. Is this Industry 4.0?

AYes - adding IoT sensors to machines is the definition of Industry 4.0

BNo - Industry 4.0 requires real-time analytics, autonomous decisions, and system integration

CYes - any IoT sensors in a factory qualifies as Industry 4.0

DNo - Industry 4.0 requires replacing all equipment with new 'smart' machines

Show answer

Answer: B see answers page

Print reference

Answers

Answer key.

B · Fast control belongs near the machine; higher levels can receive context.
B · Industry 4.0 means: (1) Edge analytics processing data in real-time, (2) ML models predicting failures before they happen, (3) Automatic maintenance scheduling and ordering, (4) Integration with ERP and supply chain. Weekly spreadsheet review is fundamentally different from autonomous, real-time cyber-physical systems.