Operations Management

Order Description

Question 1:
SB Coffee has a large, nationwide supply chain” rel=”nofollow”>in that must efficiently supply over 200 stores. Although the stores might appear to be very similar, they are actually very different. Dependin” rel=”nofollow”>ing on the
location of the store, its size, and the profile of the customers served, SB Coffee management configures the store offerin” rel=”nofollow”>ings to take maximum advantage of the space available and customer
preferences. SB Coffee’s actual distribution system is much more complex, but the in” rel=”nofollow”>information below is directed at only a sin” rel=”nofollow”>ingle item that is currently distributed through five distribution centres
in” rel=”nofollow”>in Australia. The item is a logo branded coffee maker that is sold at some of the larger retail stores. The coffeemaker has been a steady seller over the years due to its reliability and rugged
construction. SB Coffee does not consider this as a seasonal product, but there is some variability in” rel=”nofollow”>in demand. Demand for the product over the past 13 weeks is shown in” rel=”nofollow”>in the followin” rel=”nofollow”>ing table. The
demand at the distribution centres (DCs) varies from a maximum of 68 at Sydney in” rel=”nofollow”>in Week Number 13 and a min” rel=”nofollow”>inimum of 10 in” rel=”nofollow”>in Week Number 12 at Darwin” rel=”nofollow”>in.
Management would like you to experiment with some forecastin” rel=”nofollow”>ing models to determin” rel=”nofollow”>ine what should be used in” rel=”nofollow”>in a new system to be implemented. Their in” rel=”nofollow”>initial request is provide recommendations over two
forecastin” rel=”nofollow”>ing models: simple movin” rel=”nofollow”>ing average and exponential smoothin” rel=”nofollow”>ing.
c. Compare all the techniques in” rel=”nofollow”>in Part a and Part b (The table have been done above) and explain” rel=”nofollow”>in which of these would be preferable. Explain” rel=”nofollow”>in the reasons for your choice.

d. What other factors (other than past demand) would you consider to draw up more accurate forecasted figures? Describe also what mathematical technique (or techniques) you would use to derive the
new forecast which will take all these factors in” rel=”nofollow”>into account.
(Note: Limit your answer to 350 words)

e. SB Coffee is considerin” rel=”nofollow”>ing simplifyin” rel=”nofollow”>ing the supply chain” rel=”nofollow”>in for their coffeemaker. Instead of stockin” rel=”nofollow”>ing the coffeemaker in” rel=”nofollow”>in all five distribution centres, they are considerin” rel=”nofollow”>ing only supplyin” rel=”nofollow”>ing it from a
sin” rel=”nofollow”>ingle location. What are the advantages and disadvantages of aggregatin” rel=”nofollow”>ing demand from a forecastin” rel=”nofollow”>ing view?
Are there other factors or issues that should be considered when goin” rel=”nofollow”>ing from multiple DCs to a sin” rel=”nofollow”>ingle DC?

find the cost of your paper