2.4 Managing Unpredictable Variability Flashcards
Demand Forecast
Basic assessment of future demand based on
statistical methods
▪ Based on historical numbers/data (on demand)
▪ Statistical or causal models
Demand Plan
Complementing the demand forecast by expert knowledge and confirmation
▪ Based on demand forecast
▪ Complemented by expert knowledge from other corporate divisions
Fig. Production Management
Forecasting in the Supply Chain Context
▪ Coordinated forecast by all members of the supply chain
▪ Use point-of-sales data
Value of Improved Forecasts
▪ Decisions regarding ordering quantities are based on a demand forecast
▪ If demand exceeds supply → Stockouts result from the actual demand (lost sales)
▪ If supply exceeds demand → Overstocks increase the supply chain costs
→ Precise forecasts reduce costs of overstocks and understocks
Forecast Quality
▪ Normally distributed demand:
Mean value µ and standard deviation / forecast error 𝜎
▪ Measures:
Reduction of forecast error, for instance by improving market research leads to higher supply chain profits
→ Reach the same CSL with a lower safety inventory
Conclusion – Characteristics of Forecasts
▪ Forecast are always inaccurate
→ Include both the expected value of the forecast and a measure of forecast error
▪ The farther up the supply chain a company is (distance to the consumer), the greater the distortion of information it receives
▪ Collaborative / coordinated forecasts of demand along the supply chain
▪ Aggregate forecasts are more accurate than disaggregate forecasts
→ Aggregation over regions, products, components, etc.
▪ Accuracy of forecasts decreases with the length of the forecasting period
→ Reducing supply lead time allows using accurate short-term forecasts
Aggregation to Reduce Variability
Aggregating (safety) inventory for various customers / regions in centralized storage facilities in order to take
advantage of compensatory effects.
Comparison of Aggregated and Separate Orders
→ Lower values for the demand correlation 𝝆𝒂𝒃 imply higher potential savings from aggregation of orders.
Impact of Aggregation on Safety Inventory
Square-root Law: Reducing the number of independent stocking locations by a factor of 𝑛, the average safety inventory can be reduced by a factor of sqrt(𝑛).
→ However, response time and transportation cost to customers increase!
→ Alternative types of aggregation, which enable taking advantage of reduced safety inventories without having to physically centralize all inventories in one location.
Types of Aggregation
- Information centralization – aggregation of information
- Specialization – aggregation of inventory
- Product substitution – aggregation of demand
- Component commonality – aggregation of components
- Postponement – aggregation of products
Aggregation of Information
▪ Inventory of every stocking location is globally visible through information systems
▪ Orders are fulfilled by the closest location with stock
▪ In case of delivery problems, another stocking location fulfils the order
▪ Advantages:
– Higher responsiveness
– Lower transportation costs
– Higher product availability
– Lower safety inventory
Aggregation of Inventory
▪ Stocking certain products only in specialized locations
▪ Advisable if:
– Products have different demands depending on the region (e.g., snow shovels)
– Reduction of variety
– Reduction of safety inventory
– Small increase in transportation costs and response time
▪ Products suitable for specialization should have:
– High value
– Low demand
→ Only keep decentralized stock of slow moving products with unpredictable demand if customer is willing to pay a premium!
Aggregation of Demand
▪ Use of one product to satisfy demand for a different product
▪ Manufacturer-Driven Substitution (One-Way-Substitution): Substitution of a lower-value product that is not in stock with a higher-value product
▪ Customer-Driven Substitution (Two-Way-Substitution): Customer substitutes a product that is not in stock with a similar product that is in stock
→ Product substitution enables aggregation and therefore reduces safety inventory
Aggregation of Components
▪ Using a common technological platform for various products
- Advantages:
▪ Lower number of variants for parts → lower development and testing costs
▪ Component Commonality → Economies of scale
▪ Reducing inventory
- Disadvantages:
▪ Greater effort in product design, as common component needs to fit with every product
▪ Changing the common components causes changes in every product
▪ Potentially increased difficulty of product differentiation
▪ Quality issues affect all products which contain common component