Case Study 2. The Liberty Cbok is a bookstore with three locations near the BS University campus. The bookstore has a program to sell personal computers to incoming freshmen and other students at a significant discount. The bookstore just covers computer costs, with a very small profit margin remaining. Orders come in throughout the summer, many only a few weeks before school starts in the fall, and the computer suppliers has a lead time of at least 6 weeks for delivery. Thus, the bookstore must forecast computer demand to build up inventory to meet student demand in the fall. The bookstore has a warehouse near campus where it must store all computers because it has no storage space at its retail locations. The number of computers ordered has effect to the number of temporary warehouses needed and workers who must be hired for handling and PC installations assistance. To get the forecast of computer sales the manager gets the computer purchase program for 14 years. Computer sales have been somewhat unstable. Here is the historical sales data for computers during the 1st month of fall registration: Computer sales 518 651 Computer sales 792 877 693 841 Year 1 Year 3 4 708 921 775 810 856 10 11 12 13 14 1,009 902 1,103 Question: 1. Think of the best forecasting model appropriate for Liberty Cbok to forecast the demand for following fall semester.

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Case Study 2.
The Liberty Cbok is a bookstore with three locations near the BS University campus. The bookstore has a
program to sell personal computers to incoming freshmen and other students at a significant discount. The
bookstore just covers computer costs, with a very small profit margin remaining. Orders come in throughout
the summer, many only a few weeks before school starts in the fall, and the computer suppliers has a lead
time of at least 6 weeks for delivery. Thus, the bookstore must forecast computer demand to build up
inventory to meet student demand in the fall. The bookstore has a warehouse near campus where it must
store all computers because it has no storage space at its retail locations. The number of computers ordered
has effect to the number of temporary warehouses needed and workers who must be hired for handling and
PC installations assistance.
To get the forecast of computer sales the manager gets the computer purchase program for 14 years.
Computer sales have been somewhat unstable. Here is the historical sales data for computers during the 1st
month of fall registration:
Computer sales
518
651
Computer sales
792
877
Year
Year
708
921
775
810
10
693
841
1,009
902
4
11
5n
12
13
856
14
1,103
Question:
1. Think of the best forecasting model appropriate for Liberty Cbok to forecast the demand for
following fall semester.
Transcribed Image Text:Case Study 2. The Liberty Cbok is a bookstore with three locations near the BS University campus. The bookstore has a program to sell personal computers to incoming freshmen and other students at a significant discount. The bookstore just covers computer costs, with a very small profit margin remaining. Orders come in throughout the summer, many only a few weeks before school starts in the fall, and the computer suppliers has a lead time of at least 6 weeks for delivery. Thus, the bookstore must forecast computer demand to build up inventory to meet student demand in the fall. The bookstore has a warehouse near campus where it must store all computers because it has no storage space at its retail locations. The number of computers ordered has effect to the number of temporary warehouses needed and workers who must be hired for handling and PC installations assistance. To get the forecast of computer sales the manager gets the computer purchase program for 14 years. Computer sales have been somewhat unstable. Here is the historical sales data for computers during the 1st month of fall registration: Computer sales 518 651 Computer sales 792 877 Year Year 708 921 775 810 10 693 841 1,009 902 4 11 5n 12 13 856 14 1,103 Question: 1. Think of the best forecasting model appropriate for Liberty Cbok to forecast the demand for following fall semester.
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