Inventory is held at three distinct stages of the production‑distribution process. Each stage smooths the transformation from input to output, protects against uncertainty and creates economies of scale (see 4.1.1 of the syllabus).
Raw‑material inventory – materials waiting to be processed; provides a buffer before the first transformation.
Work‑in‑progress (WIP) inventory – partially finished goods at various production stages; bridges the gap between operations that have different cycle times.
Finished‑goods inventory – completed products ready for sale; ensures product availability for customers.
2. Costs & Benefits of Holding Inventory (4.2.1)
Cost
What it Represents (syllabus wording)
Benefit (why the cost may be acceptable)
Holding (carrying) cost
Warehouse space, insurance, depreciation, opportunity cost of capital
Allows higher service levels and protects against stock‑outs.
Economies of scale – larger, less frequent orders reduce total ordering cost.
Stock‑out (shortage) cost
Lost sales, back‑order handling, damage to reputation
Motivates maintaining safety stock to meet customer demand.
Obsolescence & wastage cost
Write‑offs for perishable, out‑of‑date or technologically obsolete items
Encourages accurate forecasting and timely replenishment.
3. Inventory Control – Re‑order Point, Safety Stock & Lead Time (4.2.1)
Lead time (L) – total time between placing an order and the goods being ready for use.
Safety stock (SS) – extra inventory kept to protect against variability in demand or lead time.
Re‑order point (ROP) – the inventory level that triggers a new order.
Formulae
$$\text{ROP}= (\text{Average demand per period} \times L) + \text{Safety stock}$$
$$\text{Safety Stock}= Z \times \sigma_{L}$$
$Z$ = service factor (standard normal deviate) that corresponds to the desired service level (e.g., 95 % → $Z \approx 1.65$). Students should know how to obtain $Z$ from a standard normal table.
$\sigma_{L}$ = standard deviation of demand during lead time.
Impact of lead‑time variability: Reducing lead time (through better SCM, reliable suppliers, or improved logistics) lowers the product $L$ in the ROP formula and often reduces $\sigma_{L}$, meaning both the ROP and the required safety stock fall.
4. Example: Interpreting a Simple Inventory Control Chart (4.2.1)
Simple inventory control chart – the horizontal red line is the ROP.
From the chart:
Identify the point where the inventory line first meets the ROP line (e.g., at 2 500 units).
Read the average daily demand from the slope (e.g., 200 units/day).
Given a lead time of 10 days, calculate the ROP: $200 \times 10 = 2 000$ units. Add the safety stock shown (e.g., 300 units) → ROP = 2 300 units. Compare with the chart to see whether the order was placed at the correct moment.
5. Economic Order Quantity (EOQ) (4.2.1 / 4.2.4)
The EOQ model gives the order size that minimises the total of holding and ordering costs.
Students can compare the EOQ with the company’s actual order size to discuss whether the firm is over‑ordering (high holding cost) or under‑ordering (high ordering cost).
6. Just‑In‑Time (JIT) vs. Just‑In‑Case (JIC) (4.2.2)
Aspect
JIT (Just‑In‑Time)
JIC (Just‑In‑Case)
Philosophy
Minimise inventory; receive goods only when needed.
Hold extra stock as a contingency against uncertainty.
Typical safety stock
Very low or zero.
Significant buffer.
Reliance on suppliers
Requires highly reliable, responsive suppliers (link to SCM).
Less dependent on supplier reliability.
Risk exposure
High – any disruption can halt production.
Low – disruptions absorbed by buffers.
Cost focus
Reduces holding cost; may increase ordering cost.
Higher holding cost; lower risk of stock‑out cost.
Enterprise Resource Planning (ERP) systems – Integrate order, production and inventory data across the whole chain.
Radio‑Frequency Identification (RFID) & Internet of Things (IoT) – Provide real‑time location and quantity data, reducing manual counts and improving accuracy.
10. Safety Stock Calculation Example (4.2.5)
Desired service level: 95 % → $Z \approx 1.65$ (from standard normal tables).
Standard deviation of demand during a 10‑day lead time: $\sigma_{L}=30$ units.
11. Comparison: Traditional vs. Integrated SCM (4.2.1)
Aspect
Traditional SCM
Integrated SCM
Information flow
Fragmented, paper‑based or siloed systems
Real‑time, shared digital platforms
Inventory levels
Higher safety stocks to buffer uncertainty
Reduced safety stocks through better forecasting
Lead times
Longer, less predictable
Shorter, more reliable
Cost control
Higher holding and ordering costs
Lower total inventory cost
Customer service
Variable service levels
Consistently high service levels
12. Practical Activities for A‑Level Students
Analyse a real‑world case study; identify SCM strengths/weaknesses and their impact on inventory levels.
Calculate the EOQ for the company and compare it with the actual order size; discuss reasons for any discrepancy.
Interpret a simple inventory control chart (as in section 4) and calculate the ROP from the data shown.
Discuss how ERP, RFID or IoT improve inventory visibility and reduce costs.
Evaluate the effect of a supply‑chain disruption (e.g., natural disaster, strike) on safety stock, ROP and overall service level.
13. Suggested Diagram
Flowchart of an integrated supply chain: Supplier → Manufacturer → Distributor → Retailer → Customer, with inventory control points (raw‑material, WIP, finished‑goods) highlighted at each stage. Arrows should indicate the flow of goods, information and finances.
Summary
Supply Chain Management is the backbone of effective inventory management. By coordinating activities across the whole chain, businesses can lower holding, ordering and stock‑out costs, improve service levels, and react swiftly to market changes. Mastery of these concepts – from the purpose of inventory to EOQ, safety‑stock calculations and the choice between JIT and JIC – is essential for success in the Cambridge 9609 (AS Level) examination and for real‑world business practice.
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