UPSC MainsMANAGEMENT-PAPER-II201610 Marks
Q18.

Question 18

The daily demand for a component assembly item is normally distributed with a mean of 120 and standard deviation of 15. Furthermore, the source of supply is reliable and maintains a constant lead time of 4 days. If the cost of placing the order is ₹45 and the annual carrying cost is ₹ 0.75/unit, find out the economic order quantity and the reorder point to provide a 95% service level. The firm operates 5 days/week, 52 weeks/year.

How to Approach

This question tests the application of inventory management principles – specifically, Economic Order Quantity (EOQ) and Reorder Point (ROP). The approach should involve clearly stating the formulas for EOQ and ROP, defining each variable, substituting the given values, and calculating the results. Emphasis should be placed on understanding the concept of service level and its impact on safety stock. The answer should be structured logically, starting with the formulas, followed by calculations, and ending with the final results.

Model Answer

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Introduction

Inventory management is a critical aspect of supply chain operations, aiming to balance the costs of holding inventory with the risks of stockouts. Two fundamental concepts in this domain are the Economic Order Quantity (EOQ) and the Reorder Point (ROP). EOQ determines the optimal order quantity to minimize total inventory costs, while ROP indicates when to place a new order to avoid shortages. This question requires us to calculate both EOQ and ROP, considering a specified service level, to ensure efficient component assembly supply for a firm operating on a defined schedule.

Economic Order Quantity (EOQ) Calculation

The Economic Order Quantity (EOQ) is the order quantity that minimizes the total inventory costs, which include ordering costs and carrying costs. The formula for EOQ is:

EOQ = √(2DS / H)

Where:

  • D = Annual demand (120 units/day * 5 days/week * 52 weeks/year = 31,200 units)
  • S = Ordering cost per order (₹45)
  • H = Annual carrying cost per unit (₹0.75)

Substituting the values:

EOQ = √(2 * 31,200 * 45 / 0.75) = √(18,640,000 / 0.75) = √24,853,333.33 ≈ 4985.2 units

Therefore, the Economic Order Quantity is approximately 4985 units.

Reorder Point (ROP) Calculation

The Reorder Point (ROP) is the inventory level at which a new order should be placed. It considers the lead time and the demand during the lead time, along with a safety stock to account for demand variability. The formula for ROP is:

ROP = (d * L) + SS

Where:

  • d = Daily demand (120 units)
  • L = Lead time (4 days)
  • SS = Safety stock

To calculate the safety stock (SS) for a 95% service level, we need to determine the Z-score corresponding to this service level. For a 95% service level, the Z-score is approximately 1.645 (obtained from standard normal distribution tables).

SS = Z * σL

Where:

  • Z = Z-score (1.645)
  • σL = Standard deviation of demand during lead time. Since lead time is constant, σL = σd * √L
  • σd = Standard deviation of daily demand (15 units)

σL = 15 * √4 = 15 * 2 = 30 units

SS = 1.645 * 30 = 49.35 ≈ 49 units

Now, we can calculate the ROP:

ROP = (120 * 4) + 49 = 480 + 49 = 529 units

Therefore, the Reorder Point is 529 units.

Summary of Results

Parameter Value
Economic Order Quantity (EOQ) 4985 units
Reorder Point (ROP) 529 units

Conclusion

In conclusion, the firm should order approximately 4985 units of the component assembly item each time to minimize total inventory costs. Orders should be placed when the inventory level reaches 529 units to maintain a 95% service level, ensuring a low probability of stockouts. Regular review of these parameters is crucial, as changes in demand, lead time, or costs can necessitate adjustments to the EOQ and ROP.

Answer Length

This is a comprehensive model answer for learning purposes and may exceed the word limit. In the exam, always adhere to the prescribed word count.

Additional Resources

Key Definitions

Economic Order Quantity (EOQ)
The EOQ is an inventory management technique used to determine the optimal order quantity that minimizes the total inventory costs, including ordering costs and carrying costs.
Reorder Point (ROP)
The ROP is the inventory level at which a new order should be placed to avoid stockouts, considering lead time and demand variability.

Key Statistics

According to a report by the Council of Supply Chain Management Professionals (CSCMP), companies with best-in-class inventory management practices experience 15% lower inventory costs.

Source: CSCMP, 2023 State of Logistics Report

Inventory carrying costs typically range from 20% to 30% of the value of the inventory.

Source: APICS Dictionary, 16th Edition (Knowledge Cutoff: 2023)

Examples

Toyota Production System

Toyota's Just-in-Time (JIT) inventory system, a cornerstone of the Toyota Production System, aims to minimize inventory levels by receiving materials only when they are needed in the production process. This relies heavily on accurate demand forecasting and reliable supply chains.

Amazon's Inventory Management

Amazon utilizes sophisticated algorithms and data analytics to optimize its inventory levels across its vast network of fulfillment centers, considering factors like demand, seasonality, and shipping costs. They employ techniques like EOQ and safety stock calculations on a massive scale.

Frequently Asked Questions

What happens if the lead time is not constant?

If the lead time is variable, the ROP calculation becomes more complex. You need to consider the standard deviation of the lead time and incorporate it into the safety stock calculation. The formula for safety stock would then include both the standard deviation of demand during lead time and the standard deviation of the lead time itself.

How does demand forecasting impact EOQ and ROP?

Accurate demand forecasting is crucial for both EOQ and ROP. EOQ relies on annual demand, and an inaccurate forecast will lead to an incorrect EOQ. ROP also depends on daily demand, so forecasting errors directly affect the reorder point and the risk of stockouts or excess inventory.