Which of the following is not part of the causes of the bullwhip effect?
Price fluctuations
Order batching
Forecast Inaccuracies
Information overload
In the newsvendor model, if p is the selling price, and c is the cost of buying an item, which of the following is true?
The underage cost is p minus c
The underage cost is c minus p
The overage cost is p minus c
The overage cost is c minus p
In the newsvendor model, if s is the salvage value for unsold items, and c is the cost of buying an item, which of the following is true?
The underage cost is s minus c
The underage cost is c minus s
The overage cost is s minus c
The overage cost is c minus s
A merchandize buyer who intends to sell branded caps for an event to a group of students for $9.95 per cap purchases the same caps from a dealer for $8.40 per cap. After the event the caps retain a salvage value of $3.00 each. The buyer estimates demand to be normally distributed with a mean of 5000 caps and a standard deviation of 20. How many caps should the buyer order?
4800
4985
4850
5200
According to the video, a prediction of future events used for planning purposes is?
Demand
Forecasting
Planning
Trending
Forecasts are almost always wrong
Statement 1: Forecasts are more accurate for longer periods than for shorter periods Statement 2: Forecasts can be excellent substitutes for actual demand Statement 3: Demand can show random variation over time
Only statement 2 and 3 are correct
None of the statement is correct
Only statement 3 is correct
Only statement 1 is correct
Only statement 2 is correct
Qualitative forecasting rely on data and analytical techniques
Statistical techniques such as linear regression are a type of which forecasting method?
Qualitative
Quantitative
Dominant
Random
Quantitative methods are more suited for short term forecasting, while qualitative methods are suited for long term.
For a particular product, demand for weeks 1-5 is 650, 680, 690, 710, 720, using a 4-period simple moving average to forecast demand for week 6 gives an estimate of?
690
700
710
720
According to the video, sometimes we use trial and error to determine the weights for a weighted moving average forecast?
Which of the following is not true for weighted moving average forecasting?
The weights must always add up to 1
The weights could all be equal
This forecasting technique can be used to give importance to more recent data
The weights do not have to add up to 1
For exponential smoothing, if the alpha value is low, there is a lot of reaction to differences
❌ is a measure of how often the forecast is above or below actual demand