Industrial IoT and Business Operations · Study deck

Manufacturing IoT: Maintenance and Supply Chains

A plant can collect useful production and packaging evidence, but maintenance warnings and supply-chain signals still compete for attention.

Ada is your guide for this deck.

applicationdomainsmanufacturing
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After studying this chapter

Learning objectives

You will be able to:

  • calculate predictive-maintenance value from stated evidence
  • connect retail and supply-chain sensing to decisions
  • evaluate protocol, privacy, and deployment trade-offs
  • Explain: Reactive work starts after damage, so the plant pays for emergency callouts, late parts and whatever else broke on the way down.
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Major section

Predictive Maintenance in Manufacturing

Reactive work starts after damage, so the plant pays for emergency callouts, late parts and whatever else broke on the way down.

  • Preventive work starts on a calendar or run-hour count, which buys planning but throws away healthy parts and still misses early failures.
Maintenance Evolution - from reactive to predictive approaches showing cost and complexity tradeoffs
Maintenance Evolution - from reactive to predictive approaches showing cost and complexity tradeoffs
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Major section

Predictive Maintenance in Manufacturing (continued)

Predictive work starts when sensor trends show failure risk rising, so the job fits into downtime the plant already planned.

  • The strip along the bottom names what makes the third column possible: vibration, temperature, current, ultrasonic and oil data, streamed rather than sampled by hand.
  • A US DOE guide reports an estimated 25-30% reduction in maintenance costs for a functional predictive-maintenance program.
  • A US DOE guide reports an estimated 70-75% reduction in breakdowns for a functional predictive-maintenance program.
  • A US DOE guide reports an estimated 35-45% reduction in downtime for a functional predictive-maintenance program.
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Major section

Supply Chain Visibility Stack

Connectivity: Function: Wi-Fi, cellular at point of use; Impact: Real-time check against recall database.

  • Product identity comes first: a serial code or tag means the system can talk about one batch rather than one product line.
  • Connectivity then lets a scanner ask about that batch where the work happens.

Why it matters

Device Logic: Function: Refuse operation if safety issue; Impact: Prevent harm, not just warn.

Supply Chain Visibility Stack - layered architecture from product identity to device logic
Supply Chain Visibility Stack - layered architecture from product identity to device logic
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Major section

Mfg Relationships

Predictive Maintenance (PdM): Relates To: Vibration/Temperature Sensors; Relationship: Sensor trends can warn of developing faults so maintenance can be scheduled before a breakdown; measure warning lead time and downtime reduction for each asset.

  • Smart Packaging: Relates To: Cold-Chain Monitoring; Relationship: Time-temperature indicators can show whether a package experienced a temperature excursion; quantify prevented loss in a deployment study.
  • ERP/MES Integration: Relates To: Data Silos; Relationship: Plan and test interfaces so sensor alerts reach maintenance, production, and quality workflows.
  • Cloud: Relates To: Latency Requirements; Relationship: Safety-critical controls (machine stops) use edge (<10 ms); strategic analytics (OEE trends) use cloud.
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Deck summary

Key takeaways

Reactive work starts after damage, so the plant pays for emergency callouts, late parts and whatever else broke on the way down.

  • Predictive work starts when sensor trends show failure risk rising, so the job fits into downtime the plant already planned.
  • Connectivity: Function: Wi-Fi, cellular at point of use; Impact: Real-time check against recall database.
  • Predictive Maintenance (PdM): Relates To: Vibration/Temperature Sensors; Relationship: Sensor trends can warn of developing faults so maintenance can be scheduled before a breakdown; measure warning lead time and downtime reduction for each asset.
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Retrieval practice

Recall check 1 of 3

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

Q1A factory has 50 motors. With reactive maintenance, 8 fail per year at $15,000 each. Predictive maintenance with vibration sensors reduces failures to 2 per year. If sensors cost $300 each plus $150/year analytics, what is the first-year ROI?

A100% -- savings barely cover sensor costs
B200% -- savings exceed sensor costs by about twice
C300% -- savings significantly exceed sensor investment
D500% -- predictive maintenance always delivers extreme ROI
Show answer

Answer: C Savings = (8-2) x $15,000 = $90,000.

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Retrieval practice

Recall check 2 of 3

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

Q2A factory wants to reuse a proprietary machine link and add worker-location analytics. Which review covers the main trade-offs before deployment?

AApprove the vendor link from its speed claim and collect named worker trails by default.
BTest export and integration from the old link, and set aggregated-location, retention, and worker-review rules.
CAvoid all machine measurements because location analytics is sensitive.
DChoose the cheapest gateway and postpone data-use rules until after rollout.
Show answer

Answer: B The protocol path needs portability evidence, while location use needs a clear privacy boundary.

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Retrieval practice

Recall check 3 of 3

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

Q3What captures machine vibration with speed and time so later analysis can separate bearing faults from process changes?

AMachine Sensing
BPLC and Edge Control
CMaintenance Application
Show answer

Answer: A Machine sensing captures vibration with operating speed and time so later analysis can distinguish a bearing signature from a changing process.

Q4Complete the predictive maintenance alert checker:

Aif event['confidence'] < 0.8: return False
Bif event['confidence'] > 0.8: return False
Cif event['machine_id']: return False
Dif event['age_minutes'] < 10: return False
Show answer

Answer: A Predictive maintenance alerts should suppress stale or low-confidence machine events and open work orders only when a trusted event reaches warning or critical severity while the asset is operating.

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Print reference

Answers

Answer key.

  1. C · Savings = (8-2) x $15,000 = $90,000.
  2. B · The protocol path needs portability evidence, while location use needs a clear privacy boundary.
  3. A · Machine sensing captures vibration with operating speed and time so later analysis can distinguish a bearing signature from a changing process.
  4. A · Predictive maintenance alerts should suppress stale or low-confidence machine events and open work orders only when a trusted event reaches warning or critical severity while the asset is operating.
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