BUS-FPX3022 covers how goods move from raw material to end customer — supply chain design, inventory management trade-offs, and logistics decisions — assessed through FlexPath's competency-based model.
Supply chain design and the bullwhip effect
BUS-FPX3022 covers the structure of a typical supply chain (suppliers, manufacturers, distributors, retailers) and the bullwhip effect — how small demand fluctuations at the retail end amplify into large, costly swings further up the supply chain due to information distortion at each stage.
Inventory management and logistics trade-offs
The course covers core inventory management concepts (economic order quantity, safety stock, just-in-time vs. just-in-case strategies) and the fundamental trade-off between holding costs and stockout risk, along with basic logistics and transportation mode decisions.
Key topics in BUS-FPX3022
- Supply chain structure: suppliers, manufacturers, distributors, retailers
- The bullwhip effect and demand information distortion
- Economic order quantity (EOQ) and safety stock
- Just-in-time vs. just-in-case inventory strategies
- Holding cost vs. stockout risk trade-offs
- Basic logistics and transportation mode decisions
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Worked example: the bullwhip effect in action
- Retail level: A 10% increase in customer demand is observed
- Distributor response: Orders 20% more from the manufacturer, adding a buffer against being caught short
- Manufacturer response: Orders 35% more raw materials from suppliers, adding its own buffer
- Result: A modest 10% demand increase becomes a 35% swing in raw material orders further up the chain
- Lesson: Small, real demand changes get amplified as each link in the chain adds its own precautionary buffer, causing costly overproduction and excess inventory
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Frequently asked questions
The bullwhip effect describes how relatively small fluctuations in actual customer demand at the retail end of a supply chain become progressively amplified into much larger swings in orders as they move upstream through distributors, manufacturers, and raw material suppliers — each link in the chain tends to add its own precautionary buffer when reacting to a demand change, and these buffers compound at each stage. BUS-FPX3022 teaches this concept because it explains a genuinely costly, widespread supply chain problem — the amplified swings lead to excess inventory and waste during demand upswings and stockouts during demand downswings — and understanding its cause (information distortion and buffer-stacking at each link) points toward solutions like shared, real-time demand data across the supply chain, which can significantly dampen the effect by reducing each link's need to guess and over-buffer.
A just-in-time (JIT) strategy holds minimal inventory, ordering supplies to arrive just as they're needed for production or sale — this minimizes holding costs (storage, insurance, capital tied up in inventory) but leaves a company vulnerable to stockouts if a supply disruption occurs, since there's little buffer inventory to absorb an unexpected delay. A just-in-case strategy holds larger buffer inventory specifically to protect against supply disruptions and demand spikes, reducing stockout risk but increasing holding costs and the risk of inventory becoming obsolete or wasted if it isn't used. BUS-FPX3022 teaches this trade-off because the COVID-19 pandemic's widespread supply chain disruptions prompted many companies to reconsider a purely JIT approach that had left them dangerously exposed to disruption, illustrating that the right inventory strategy depends on a company's specific risk tolerance and the reliability of its supply chain, not a single universally correct approach.