Demand Forecasting Flashcards

1
Q

What is a forecast?

A

A prediction of what will occur in the future

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2
Q

When are forecasts used for planning?

A

In situations where demand is uncertain (push situations)

Used to predict demand to schedule inventory, production, ordering etc.

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3
Q

What is the Bullwhip Effect and how can it be related to demand forecasting?

A

A phenomenon where small fluctuations in customer demand cause increasingly larger fluctuations of orders upstream in the supply chain

  • Ordering is amplified for each upstream supplier as they try to match the demand
  • It is therefore important to have good demand forecasting strategies in order to prevent the bullwhip effect from occurring
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4
Q

What are the 3 laws of forecasting?

A
  1. Forecasts are always wrong
  2. Detailed forecasts are worse than aggregate
  3. The further into the future, the less reliable forecast
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5
Q

What are the 5 basic patterns of demand in terms of time?

A
  1. Horizontal: Data fluctuates around a constant mean/average
  2. Trend: Systematic increase/decrease of average demand over time
  3. Seasonal Regular, repeatable variations in demand
  4. Cyclical: less predictable, long term fluctuations in demand
  5. Irregular, unpredictable variations in data that cannot be forecasted
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6
Q

How can you control or change demand patterns? Name 4 out of 6 options

A
  1. Complementary products: even out the load on resources by producing products with different demand cycles
  2. Promotional pricing: Campaigns used to increase sales –> increased demand
  3. Prescheduled appointments: Encouraging customers to schedule their purchases or services, demand can be spread over time
  4. Reservations: Similar to prescheduled appointment:
    - Manage demand and plan resources
  5. Backlogs:
  6. Backorders: Allow orders even if stockout occurs, fulfilled once stock is replenished
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7
Q

What types of forecasting methods can be used?

A

Either

  1. Qualititative/judgment methods or quantitative methods
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8
Q

What are qualitative forecasting methods? Name 4 different techniques

A
  • Often used when historical data on demand is unavailable or unreliable
  1. Expert judgment: Experts estimates demand
  2. Delphi Method: Several stakeholders collaborate iteratively to predict demand
  3. Sales person estimate what sales will be in the region
  4. Market Survey: Input from potential customers via market survey
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9
Q

What are quantitative forecasting methods? Name 3 different techniques?

A

Methods that rely on historical data and mathematical models to predict demand

  1. Time series forecasting: Statistical approach that relies on historical demand: recognize trends
  2. Casual method: Collect historical data on independent variables like campaigns, competitors actions etc
  3. Linear regression: combo os both methods: Identify trendlines by analyzing demand
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10
Q

What is primary and secondary demand? And what is the difference?

A

Primary demand: The demand which comes from the market. (Independent demand)

Secondary demand: The demand for component and parts generated from the primary demand. (Dependent demand)

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11
Q

What is independent demand?

A

Demand for products that are not influence by the demand of other products

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12
Q

What is dependent demand?

A

Demand for products that are related to the production of finished goods/the demand for a finished product.

Tires for cars

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13
Q

What are positive and negative errors when it comes to demand forecasting?

A

Postivite errors: Too low forecast
Negative forecast: Too high forecast

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14
Q

What methods/indicators can be used to measure the accuracy of forecasts?

A
  1. Mean Square Error (MSE)
  2. Mean Absolute Deviation (MAD)
  3. Mean absolute percent error (MAPE)
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15
Q

What is direct and indirect demand?

A

Direct demand: The demand from end customer

Indirect demand: Demand by operators in the supply chain (not end customer involved)

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16
Q

What is a by-product?

A

Secondary/Excess product from the manufacturing of another product that is not the main focus of the production

17
Q

Talking about Time Series analysis forecasting, what are different forecasting methods under that category of forecasting?

A
  1. Naive method: The forecast= the previous demand
  2. Moving average: Average of demand for a certain number of previous time periods
  3. Weighted moving average: Gives more weight to more recent time periods. If 3: 0,5Dt+0,3Dt-1+0,2*Dt-2
  4. Exponential smoothing: More recent data are still given more weight controlled by a smoothing factor alpha
  5. Exponential smoothing with trend correction/Holts method:
    Exponential smoothing but also considers trends in data, two smoothing factors
18
Q

What is time series analysis forecasting?

A

Forecasting demand based on historical data. Future values can be estimated from past values

19
Q

Draw the different graphs for the five basic demand patterns

A

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