1. summarize errors to avoid from [[📚Exam-Synthesis]]
2. distribution
supply (capacity + inventory) + demand
predictable variability,
todo1: summarize the inventory process (three + and three -) from [[📐EOQ-Classic(🟧Inventory, 💪Efficiency-Resilience)]]
# 🔺 The Six Questions Framework - Master Summary
## All Cases Analysis
| Case | 🟢 Capabilities | 🟣 Customer | 🟠 Goals | 🔴 Offering | 🔄 Coordinate | 🎯 Compel |
| ----------------- | --------------------------------------------------------------------------- | ----------------------------------------------------------------------------- | ------------------------------------------------------------------------ | -------------------------------------------------------------------- | --------------------------------------------------------- | -------------------------------------------------------- |
| **🍔 McDonald's** | • Standardized equipment<br>• Make-to-stock process<br>• Specialized layout | • Price-conscious families<br>• Speed seekers<br>• Want predictability | • Maximize throughput<br>• Minimize cost<br>• Ensure consistency | • Limited menu<br>• Fast service<br>• Low prices | Standardization enables cost leadership | Speed and price attract value customers |
| **✈️ JetBlue** | • Point-to-point network<br>• High aircraft utilization<br>• Lean staffing | • Value seekers<br>• Business + leisure mix<br>• Want better experience | • Maximize utilization<br>• Minimize costs<br>• Maintain service quality | • Affordable fares<br>• Premium amenities<br>• "Humanity" promise | Lean operations enable low fares but create vulnerability | Better service than competitors at similar prices |
| **🚗 Uber** | • Platform technology<br>• Matching algorithms<br>• Data analytics | • Urban riders (convenience)<br>• Drivers (flexibility)<br>• Two-sided market | • Maximize matches<br>• Minimize wait times<br>• Grow network | • On-demand rides<br>• Price transparency<br>• Reliable availability | Technology enables scale without owning vehicles | Better availability + driver flexibility vs. taxis |
| **🏥 PATA** | • Nurses, physicians<br>• Exam rooms<br>• Testing equipment | • Pre-surgery patients<br>• Often elderly/anxious<br>• Time-pressed | • Ensure safety<br>• Minimize waits<br>• Maximize throughput | • Medical clearance<br>• One-stop testing<br>• Comprehensive eval | Resource scheduling must match variable patient flow | One-stop convenience vs. multiple appointments |
| 👗Zara | | | | | | |
| **📰 Yedioth** | • Print infrastructure<br>• 8,000 retailers<br>• Weekly agent visits | • Small retailers<br>• No IT systems<br>• Weekly cycle | • Reduce 36% returns<br>• Cut print costs<br>• Free capacity | • Weekly magazines<br>• Full refund policy<br>• Agent support | Fixed infrastructure must support variable demand | Information flow enables pooling without physical change |
| **📐 EOQ** | • Working capital<br>• Warehouse space<br>• Forecasting systems | • Expect availability<br>• Variable demand<br>• Cost-sensitive | • Minimize total cost<br>• Maximize cash flow<br>• Balance trade-offs | • Right product<br>• Right time<br>• Right quantity | Balance capital investment with service requirements | Consistent availability builds loyalty |
## Pattern Recognition
### Common Capabilities Themes
- **Physical assets** (equipment, facilities, inventory)
- **Human resources** (staff, expertise, agents)
- **Information systems** (data, algorithms, forecasting)
### Common Customer Themes
- **Value consciousness** (price, quality, convenience)
- **Time sensitivity** (speed, availability, reliability)
- **Risk aversion** (predictability, safety, trust)
### Common Goals Themes
- **Efficiency** (cost, utilization, throughput)
- **Effectiveness** (quality, service, safety)
- **Growth** (scale, market share, capacity)
### Common Offering Themes
- **Core product/service** (food, transport, healthcare)
- **Delivery promise** (speed, reliability, convenience)
- **Value proposition** (price, quality, experience)
### Coordination Patterns
- **Enable:** How capabilities create competitive advantage
- **Constrain:** How capabilities limit strategic options
- **Transform:** How capabilities must evolve for goals
### Compel Patterns
- **Differentiate:** What makes offering unique
- **Attract:** Why customers choose this option
- **Retain:** What creates switching costs
## 🎯 Key Insights from Comparison
### 1. **Capability-Goal Alignment (Coordinate)**
- **Tight coupling** (McDonald's, EOQ): Capabilities directly enable goals
- **Vulnerable coupling** (JetBlue): Efficiency creates fragility
- **Innovative coupling** (Uber, Yedioth): New use of existing resources
### 2. **Offering-Customer Fit (Compel)**
- **Clear value prop** (McDonald's, Uber): Simple promise, clear delivery
- **Complex value prop** (JetBlue, PATA): Multiple attributes to balance
- **Evolving value prop** (Yedioth): Must adapt to changing customer needs
### 3. **Trade-off Patterns**
|Trade-off Type|Cases|Core Tension|
|---|---|---|
|**Speed vs. Flexibility**|McDonald's, Uber|Standardization limits customization|
|**Efficiency vs. Resilience**|JetBlue, EOQ|High utilization reduces buffer|
|**Focus vs. Scale**|PATA, Yedioth|Specialization limits market size|
### 4. **Information as Enabler**
- **Real-time info** (Uber): Enables dynamic matching
- **Predictive info** (EOQ): Enables inventory optimization
- **Periodic info** (Yedioth): Enables pooling benefits
- Shows how information flow can transform physical constraints