What should be the price of the resort accommodation

Assignment Help Supply Chain Management

Reference no: EM133598328

Problem #1

The SAS "Walmart_montly_22" dataset contains the monthly sales for a Walmart store. Redirect your SAS output to an "RTF" file and use the following methods to forecast the monthly sales for Department 22 for 6 months.

Exponential Smoothing
Double Exponential Smoothing
Multi-seasonal (MULTSEASONAL)

Which method is the best? Why?

Problem #2
Calculate the page rank of the following network.

Problem #3
Use the following utilities to perform the following analysis.

Utilities Table Based on the Usual Degrees of Freedom
Label	Utility	Variable
Intercept	7.5309	Intercept

Dest Beach	0.5556	Class.DestBeach
Dest City	-0.5556	Class.DestCity

activity City Tours	0.3704	Class.activityCity_Tours
activity Hiking	-0.3704	Class.activityHiking

Accom Resort	0.6173	Class.AccomResort
Accom _Cabin	-0.1235	Class.Accom_Cabin
Accom __Hotel	-0.4938	Class.Accom__Hotel

Price 10k	0.9259	Class.Price10k
Price 15K	0.0000	Class.Price15K
Price 20k	-0.9259	Class.Price20k

a) Tradeoff between price and accommodation:

What should be the price of the Resort accommodation in the following offerings?

Destination	Activity	Accommodation	Price
Beach	Hiking	Resort	?
Beach	Hiking	Cabin	15K

b) Market Share forecast:
What is the Market Share forecast for each of the following?

Destination	Activity	Accommodation	Price
Beach	Hiking	Resort	15K
Beach	City Tours	Hotel	20K
Beach	Hiking	Cabin	10K

c) Attribute importance:
What is the importance of each feature?

Problem #4

An owner of a successful restaurant in Hoboken has decided to open a new restaurant in Manhattan, NY. To find the best location of the new restaurant, the owner has combined the income demographics of Hoboken residents with the income demographics of all the zip codes in Manhattan in a SAS dataset ("Man_HB_zip" ). To recommend the best zip codes to be considered perform the following analysis.

a) Cluster the zip codes in the datasets into fifteen zip codes using hierarchical clustering and complete linkage and recommend the appropriate zip code(s).

b) Cluster the zip codes in the datasets into fifteen zip codes using Kmeans and recommend the appropriate zip codes.

Data dependency: Walmart_montly_22, Man_HB_zip sas dataset

Please show your calculations, or the details of your program(s) for each problem. The SAS programs should be commented so that each step is clearly explained. Redirect your SAS output to word (RTF) or pdf file(s).

Reference no: EM133598328

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