Week 12 | Session 4: Blockchain + Industry 4.0 Technology × SC Function Mapping & IoT Case Studies
Course: Supply Chain Digitization - Module 4: Digital Infrastructure
Session Agenda
Section titled “Session Agenda”1. Blockchain - Definition & Role
Section titled “1. Blockchain - Definition & Role”Definition: a distributed ledger technology where secure and transparent recording of transactions and data occurs across a network of computers.
Two defining properties - both simultaneously:
- Secure: tamper-proof, cryptographically protected.
- Transparent: visible to all authorized network members.
How it works: transactions are gathered into blocks and recorded as a chronological chain - hence ‘blockchain’.
Blockchain in SC - What it Enables
Section titled “Blockchain in SC - What it Enables”- Track suppliers, vendors, material sources, and pricing across the SC.
- Secure, tamper-proof record keeping of all transactions and product movements.
- Builds trust between SC partners - no single party can alter the shared history.
2. How Blockchain Works - 3-Step Process
Section titled “2. How Blockchain Works - 3-Step Process”- Transaction Recording: When a transaction occurs, all details are captured as a block of data. Details: who, when, where, for what, how much - full transaction metadata.
- Blockchain Formation: Multiple blocks are linked chronologically → forming a chain. Before a new block is added, it must be VALIDATED via a consensus mechanism - all network members must agree. Prevents any single party from adding fraudulent data.
- Immutability: Each new block re-verifies the previous block → strengthens the chain. Data is tamper-evident - any change is instantly detectable. Cannot be altered retroactively → trusted ledger for all members.
3. Types of Blockchain Networks
Section titled “3. Types of Blockchain Networks”| Network Type | Who Controls / Joins | Speed | Security | Typical Use |
|---|---|---|---|---|
| Public | Anyone - open access, fully decentralized | Slower | More secure (decentralized) | Cryptocurrency, decentralized apps |
| Private | Single org governs and controls who participates | Faster | High (limited access) | Internal process streamlining |
| Permissioned | Participants need approval from a governing body | Fast | High | High control over membership required |
| Consortium | Group of pre-selected orgs jointly govern | Fast | High | Inter-org collaboration, no single governing body |
| Hybrid | Combination of two or more of the above | Varies | Varies | Complex enterprise environments |
4. Industry 4.0 Technologies × SC Functions - Application Matrix
Section titled “4. Industry 4.0 Technologies × SC Functions - Application Matrix”Which Industry 4.0 technologies apply to each supply-chain process (✓ = applicable):
| Technology | Planning & Forecasting | Sourcing & Procurement | Production & Mfg | Inventory Mgmt | Distribution & Logistics | Customer Service |
|---|---|---|---|---|---|---|
| AI / ML | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| IoT | ✓ | ✓ | ✓ | ✓ | ✓ | - |
| Cloud Computing | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Big Data Analytics | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Simulation / Digital Twin | ✓ | ✓ | ✓ | ✓ | ✓ | - |
| Blockchain | ✓ | ✓ | ✓ | ✓ | ✓ | - |
| Autonomous Robots | - | - | ✓ | ✓ | ✓ | - |
| AR | - | - | ✓ | ✓ | ✓ | - |
| Additive Manufacturing | - | - | ✓ | - | - | - |
Key observations: AI/ML and Cloud/Big Data are applicable across all 6 SC functions. Autonomous Robots and Additive Manufacturing are more specific to production/logistics/inventory.
5. IoT - Case Studies Across 5 SC Functions
Section titled “5. IoT - Case Studies Across 5 SC Functions”| SC Function | Company | Challenge → Solution → Outcome |
|---|---|---|
| Planning & Forecasting | Omega Foods (Grocery Distributor) | Challenge: poor demand forecasting for perishables → spoilage or backorders. Solution: smart sensors tracking temperature + stock levels in real time. Outcome: predict consumption rate → adjust delivery schedules → targeted promotions → reduced spoilage. |
| Sourcing & Procurement | Acme Pharmaceuticals (Drug Manufacturer) | Challenge: frequent stockouts due to manual inventory tracking. Solution: shelf sensors → real-time stock data → auto-trigger purchase orders below threshold. Outcome: stockouts eliminated, procurement cycle optimized, cost reduced. |
| Production & Manufacturing | Newton Instruments (Violin Maker) | Challenge: humidity fluctuations cause violin cracks and warping → waste. Solution: humidity sensors → smart vents auto-adjust airflow. Outcome: consistent environment → higher yield → waste reduced → quality preserved. |
| Inventory Management | Vendor Guitars (Instrument Maker) | Challenge: instruments lost during shipping. Solution: location sensors in guitar cases → real-time visibility throughout SC. Outcome: lost instruments eliminated, logistics optimized, customer satisfaction improved. |
| Distribution & Logistics | Best Pharmaceuticals (Drug Distributor) | Challenge: temperature-sensitive medication spoilage due to inconsistent cold chain. Solution: container sensors track real-time temperature and humidity. Outcome: routes and storage optimized → medication quality preserved. |
Session Summary
Section titled “Session Summary”- Blockchain: distributed ledger - secure + transparent. 3 steps: Transaction Recording → Chain Formation (consensus) → Immutability.
- 5 network types: Public (open) | Private (single org) | Permissioned (approval-based) | Consortium (multi-org) | Hybrid.
- I4.0 × SC matrix: AI/ML + Cloud + Big Data → all 6 functions. Robots + AR → production, inventory, logistics. Additive → production only.
- 5 IoT cases: Omega Foods (forecasting) | Acme Pharma (procurement) | Newton Instruments (manufacturing) | Vendor Guitars (inventory) | Best Pharma (distribution).