From the choice of simple moving average, weighted moving average, exponential smoothing, and linear regression analysis, which forecasting technique would you consider the most accurate? Why?

Forecasting is said to be an "art" and a "science." Discuss how you would integrate both these very different techniques into a single forecast. What would be your goal in doing so?

Explain different forecasting techniques like moving averages, exponential smoothing, regression etc.

Which type of forecasting approach, qualitative or quantitative, is better?

Explain why is accurate forecasting so important to companies that use a continuous replenishment inventory system?

What are the major consequences of accurate forecasting? explain

The following monthly sales (in thousands of AUS dollars) of chocolate boxes have been recorded for January, February, March, and April, respectively: 8, 8, 5, 9. Focusing on sales forecast accuracy for the month of April only, explain which of the following forecasting method would you recommend: the Naïve method, the Average method, or the Simple exponential smoothing method (assuming alpha=0.8 and initial state of 7)?

What are the advantages and disadvantages of aggregating deman from a forecasting view? Are there other things that should be considered when going from multiple DC (Distribution Centers) to a DC?