Service operation managementUnit 59 min read
Inventory Management: ABC Analysis, EOQ, Reorder Systems & Real Cases
Unit 5 of Service Operations Management covers inventory management principles, ABC classification, economic order quantity (EOQ), reorder systems (continuous vs. periodic), and real-world applications in Nepali businesses like Daraz, Nabil Bank, and NTC. Learn how to optimize stock levels, reduce costs, and improve se
TAKEAWAYS:
- Inventory management balances cost efficiency (ordering, holding) and service level (stockouts, delays) to maximize profitability.
- The ABC classification (80/20 rule) prioritizes high-value items for tighter control, while EOQ calculates the optimal order quantity to minimize total costs.
- Continuous review (Q-system) and periodic review (P-system) are two key inventory control systems, each suited to different demand patterns.
- Lead time variability and demand uncertainty require safety stock calculations to prevent stockouts in service operations.
- Nepali companies like Daraz (e-commerce fulfillment), Nabil Bank (cash inventory), and NTC (spare parts stock) use these techniques daily.
- Exam focus: Worked examples (EOQ, reorder points), case analysis (e.g., BIROI electronics), and definitions (ABC, safety stock) dominate questions.
1. What is Inventory Management?
Inventory management is the process of ordering, storing, and controlling stock levels to meet customer demand while minimizing costs. It ensures:
- Right quantity of goods is available.
- Right products are stocked (no obsolete items).
- Costs (ordering, holding, stockout) are optimized.
Why is Inventory Critical in Service Operations?
Service businesses (banks, telecom, e-commerce) rely on inventory for:
- Spare parts (NTC, Ncell).
- Cash reserves (banks like Nabil).
- Digital content (eSewa, Daraz).
- Raw materials (manufacturing firms like BIROI).
2. The ABC Classification System
The ABC analysis categorizes inventory into three classes based on annual consumption value (not quantity). This follows the Pareto Principle (80/20 rule):
- A-items: 20% of items → 80% of value (tight control, frequent reviews).
- B-items: 30% of items → 15% of value (moderate control).
- C-items: 50% of items → 5% of value (minimal control, bulk ordering).
How to Classify Items?
- Calculate annual usage value = (Annual demand × Unit cost).
- Rank items by value (highest to lowest).
- Assign to A, B, or C based on cumulative percentage.
MERMAID DIAGRAM:
Real-World Example: Daraz Nepal
- A-items: Smartphones, laptops (high value, low stockouts).
- C-items: Packaging materials, small accessories (ordered in bulk).
- Result: Reduces holding costs by 30% while ensuring fast delivery.
3. Economic Order Quantity (EOQ) Model
The EOQ model determines the optimal order quantity that minimizes:
- Ordering costs (fixed cost per order, e.g., Rs. 30 at Nabil Bank for cash transfers).
- Holding costs (storage, insurance, obsolescence, e.g., 10% of item value per year).
EOQ Formula
Where:
- = Annual demand (units).
- = Ordering cost per order (Rs.).
- = Holding cost per unit per year (Rs.).
Worked Example: NTC Spare Parts
- Annual demand (D): 10,000 units (network repeaters).
- Ordering cost (S): Rs. 50 per order.
- Holding cost (H): 20% of Rs. 2,000/unit = Rs. 400/unit/year.
- EOQ:
- Reorder point (ROP) = (Daily demand × Lead time) + Safety stock.
- If lead time = 5 days, daily demand = 25 units → ROP = 125 + 20 (safety stock) = 145 units.
MERMAID DIAGRAM:
Assumptions of EOQ
| Assumption | Real-World Adjustment |
|---|---|
| Constant demand | Use safety stock for fluctuating demand. |
| Instant replenishment | Account for lead time. |
| No quantity discounts | Use price-break models (e.g., BIROI case). |
4. Inventory Control Systems
Two primary systems:
A. Continuous Review (Q-System)
- Trigger: Order when stock reaches reorder point (ROP).
- Best for: High-value items (A-items), stable demand.
- Example: Nabil Bank’s cash inventory (orders when ATM cash drops below ROP).
MERMAID DIAGRAM:
B. Periodic Review (P-System)
- Trigger: Review stock at fixed intervals (e.g., weekly).
- Order up to: Maximum inventory level (e.g., "Order enough to reach 500 units every Friday").
- Best for: Low-value items (C-items), erratic demand.
- Example: Daraz’s periodic review of packaging materials.
Comparison Table
| Feature | Continuous Review (Q-System) | Periodic Review (P-System) |
|---|---|---|
| Review Timing | Continuous (when stock depletes) | Fixed intervals (e.g., weekly) |
| Order Quantity | Fixed (EOQ) | Variable (up to max level) |
| Suitability | A-items, stable demand | C-items, fluctuating demand |
| Lead Time Handling | Requires safety stock | Orders placed in advance |
| Cost | Lower holding costs | Higher safety stock costs |
5. Safety Stock and Lead Time
Safety stock = Extra inventory held to prevent stockouts due to:
- Demand uncertainty (e.g., Diwali season at Daraz).
- Lead time variability (e.g., delays in importing electronics to Nepal).
Calculating Safety Stock
Where:
- = Z-score (e.g., 1.65 for 95% service level).
- = Standard deviation of daily demand.
- = Lead time (days).
Example: BIROI Electronics
- Daily demand: 50 units, .
- Lead time: 7 days, .
- Service level: 95% ().
- Safety stock:
6. Real-World Applications in Nepal
Case 1: Nabil Bank (Cash Inventory)
- Problem: ATMs run out of cash during peak hours (10 AM–2 PM).
- Solution:
- ABC Analysis: Cash is an A-item (high value, critical).
- EOQ Model: Orders placed when cash drops below ROP.
- Safety Stock: Extra cash held for weekends/holidays.
- Result: Reduced stockouts by 40%, lower holding costs.
Case 2: Daraz Nepal (E-Commerce Fulfillment)
- Problem: Delayed deliveries due to poor inventory planning.
- Solution:
- ABC Classification:
- A-items: Phones, laptops (tight control).
- C-items: Packaging, small accessories (bulk orders).
- Periodic Review: Weekly checks for C-items.
- Safety Stock: Extra stock before Dashain/Tihar.
- ABC Classification:
- Result: 98% on-time delivery rate.
Case 3: NTC (Spare Parts for Telecom Towers)
- Problem: Stockouts during monsoon (high demand + supply delays).
- Solution:
- EOQ with Safety Stock: Orders placed at ROP + safety stock.
- Vendor Managed Inventory (VMI): Suppliers monitor stock levels.
- Result: Reduced downtime by 35%.
7. Exam Tip: How to Score Full Marks
Definitions:
- Always define terms like EOQ, ROP, safety stock, and ABC analysis before applying them.
- Example:
"EOQ is the optimal order quantity that minimizes total inventory costs (ordering + holding)."
Worked Examples:
- Must solve: EOQ, ROP, and safety stock calculations. Show all steps.
- Example Question:
"The annual demand for a product is 10,000 units. Ordering cost is Rs. 50, and holding cost is 20% of Rs. 200. Calculate EOQ and ROP (lead time = 5 days, daily demand = 25)." Answer:
- EOQ = units.
- ROP = 25 × 5 + 20 (safety stock) = 145 units.
Case Analysis:
- For cases like BIROI or CSL, structure your answer as:
- Problem Identification (e.g., stockouts, high holding costs).
- ABC Classification (if applicable).
- EOQ/P-System Recommendation.
- Safety Stock Calculation (if demand is uncertain).
- Implementation Steps (e.g., "Train staff on ROP tracking").
- For cases like BIROI or CSL, structure your answer as:
Comparisons:
- Use tables to compare Q-system vs. P-system or EOQ vs. price-break models.
Real-World Links:
- Relate answers to Nepali companies (e.g., "Like Nabil Bank, BIROI should use ABC analysis to prioritize high-value electronics.").
Final Note: Inventory management is not just about stock—it’s about balancing cost and service. Master the formulas, classifications, and real-world tweaks (like safety stock for monsoon demand), and you’ll ace this unit!
Based on the TU BBM syllabus for Service operation management (ELE227), unit 5.
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