Demand Forecasting in Supply Chain Management

1. What is one of the primary goals of supply chain management?

One of the primary goals is to effectively match supply with demand.

2. What is the biggest challenge encountered in supply chain management?

The biggest challenge encountered in supply chain management is uncertainty.

3. How does increased uncertainty affect forecast accuracy?

As uncertainty increases, forecast accuracy naturally decreases, leading to operational and financial risks.

4. Define the 'supply lead time gap'.

The supply lead time gap is the difference between the time required to source, produce, and deliver a product, and the time a customer is willing to wait.

5. What was the traditional method to bridge the supply lead time gap?

Traditionally, this gap was covered by holding inventory.

6. What is a better strategy to reduce the supply lead time gap than just better forecasting?

A better strategy is to reduce lead times or increase demand visibility, leading to a more agile supply chain.

7. What is 'real demand' in the context of demand forecasting?

Real demand is the actual signal from the end customer, representing the demand at the point of sale.

8. What is 'derived demand'?

Derived demand refers to orders placed by intermediaries such as wholesalers or distributors.

9. What problem arises from the difference between real and derived demand?

The difference can lead to significant distortion in the supply chain as intermediaries filter and modify the demand signal.

10. Explain the 'bullwhip effect'.

The bullwhip effect describes how small fluctuations in customer demand lead to large and variable fluctuations in orders placed upstream to manufacturers.

11. What are the consequences of the bullwhip effect on a supply chain?

It causes excessive volatility in inventory levels and production planning, increasing costs and lowering service levels throughout the supply chain.

12. What is the first key characteristic of forecasts regarding their accuracy?

Forecasts are always wrong, so it's crucial to focus on the 'expected error' rather than just a single number.

13. How does aggregation affect forecast accuracy?

Aggregate forecasts are generally more accurate; for example, forecasting total sales of 'carbonated beverages' is easier than a specific '0.33-liter diet cherry cola'.

14. What is the relationship between forecast horizon and accuracy?

Short-term forecasts are more accurate because the further into the future one looks, the more uncertainty is encountered.

15. What is a qualitative forecasting method?

Qualitative methods rely on human judgment or opinion, typically used when there is little historical data, such as for new product launches.

16. When are time series forecasting methods most effective?

Time series methods are most effective when the future is expected to resemble the past, as they solely use historical demand data.

17. What do causal forecasting methods assume about demand?

Causal methods assume that demand depends on environmental factors like the economy, interest rates, or a competitor's pricing.

18. Name the four basic demand components companies look for in historical data.

The four basic components are 'level', 'trend', 'seasonality', and 'random variability'.

19. What does 'level' represent as a demand component?

'Level' represents the current base demand.

20. What is CPFR and what does it stand for?

CPFR stands for Collaborative Planning, Forecasting, and Replenishment, a concept where different companies in a supply chain collaborate on a single forecast.

21. What is the main goal of implementing CPFR?

The main goal of CPFR is to eliminate the 'bullwhip effect' and ensure all partners are looking at the same 'real demand' data.

22. Which forecasting strategy should be used for a new, innovative product with no historical data?

For a new, innovative product with no historical data, qualitative forecasting methods, relying on expert judgment, should be used.

23. How can a company address high volatility or the bullwhip effect in its supply chain?

The solution involves information sharing, especially point-of-sale (POS) data, and implementing CPFR.