$1.$ Chapter $7$ discusses four different types of process strategies. For each process type, identify a manufacturing company and then a service firm that use that process and then describe the company$$s competitive advantage$($s$).$ NOTE: Examples listed in the textbook, PowerPoint, or course videos are NOT allowed. $(30$ points$)$

Process Type and Firm Type Company Name Competitive Advantage

Project $($manufacturing firm$)$

Project $($service firm$)$

Job Shop $($manufacturing

Job Shop $($service firm$)$

Flow Shop $($manufacturing firm$)$

Flow Shop $($service firm$)$

Continuous $($manufacturing firm$)$

Continuous $($service firm$)$

$2.$ Explain the differences between outsourcing and offshoring. When is each an appropriate strategy? Discuss some of the pros and cons of each. $(30$ points?$)$

$3.$ For the following problems, show your work by hand $($scan or photo your handwritten work$)$ or by typing out the values in Microsoft Word.

You will use the data in the table to calculate four separate forecasts for July. Remember that each calculation and answer is separate $($i$.$e$.,$ your answer from $$part a$$ has nothing to do with your calculation for $$part b$,$ and so on$).(40$ points$)$

PROBLEM: Derek Pashin, owner of the local sporting goods store, wants to forecast the demand for trampolines for the month of July. The demand values for the first six months of the year are presented in the table below:

MONTH DEMAND

January $9$

February $6$

March $7$

April $13$

May $14$

June $17$

a$.$ Using a simple three$-$month moving average, find the forecast for July.

b$.$ Using a three$-$month weighted moving average with weights of $\mathrm{.}60,\mathrm{.}30,$ and $\mathrm{.}10,$ find the forecast for July. $($REMEMBER: In your calculations, apply the highest weight to the most recent week, middle weight to the week before that, and so on$.)$

c$.$ Using exponential smoothing with $\backslash$alpha $=\mathrm{.}5$ and a June FORECAST equal to $15,$ find the forecast for July.

d$.$ Using trend projection $($simple linear regression with a trend line$),$ calculate the regression equation and the forecast for July.