1. Identify the various hidden costs mentioned in the article.

2. Identify a sunk cost trap in the article might be one or a couple.

Bonus: Identify other interesting concepts!

After years of offshore production, General Electric is moving much of its far-flung appliance-manufacturing operations back home. It is not alone. An exploration of the startling, sustainable, just-getting-started return of industry to the United States.

For much of the past decade, General Electric’s storied Appliance Park, in Louisville, Kentucky, appeared less like a monument to American manufacturing prowess than a memorial to it.

The very scale of the place seemed to underscore its irrelevance. Six factory buildings, each one the size of a large suburban shopping mall, line up neatly in a row. The parking lot in front of them measures a mile long and has its own traffic lights, built to control the chaos that once accompanied shift change. But in 2011, Appliance Park employed not even a tenth of the people it did in its heyday. The vast majority of the lot’s spaces were empty; the traffic lights looked forlorn.

In 1951, when General Electric designed the industrial park, the company’s ambition was as big as the place itself; GE didn’t build an appliance factory so much as an appliance city. Five of the six factory buildings were part of the original plan, and early on Appliance Park had a dedicated power plant, its own fire department, and the first computer ever used in a factory. The facility was so large that it got its own ZIP code (40225). It was the headquarters for GE’s appliance division, as well as the place where just about all of the appliances were made.

By 1955, Appliance Park employed 16,000 workers. By the 1960s, the sixth building had been built, the union workforce was turning out 60,000 appliances a week, and the complex was powering the explosion of the U.S. consumer economy.

The arc that followed is familiar. Employment kept rising through the ’60s, but it peaked at 23,000 in 1973, 20 years after the facility first opened. By 1984, Appliance Park had fewer employees than it did in 1955. In the midst of labor battles in the early ’90s, GE’s iconic CEO, Jack Welch, suggested that it would be shuttered by 2003. GE’s current CEO, Jeffrey Immelt, tried to sell the entire appliance business, including Appliance Park, in 2008, but as the economy nosed over, no one would take it. In 2011, the number of time-card employees—the people who make the appliances—bottomed out at 1,863. By then, Appliance Park had been in decline for twice as long as it had been rising.

Yet this year, something curious and hopeful has begun to happen, something that cannot be explained merely by the ebbing of the Great Recession, and with it the cyclical return of recently laid-off workers. On February 10, Appliance Park opened an all-new assembly line in Building 2—largely dormant for 14 years—to make cutting-edge, low-energy water heaters. It was the first new assembly line at Appliance Park in 55 years—and the water heaters it began making had previously been made for GE in a Chinese contract factory.

On March 20, just 39 days later, Appliance Park opened a second new assembly line, this one in Building 5, to make new high-tech French-door refrigerators. The top-end model can sense the size of the container you place beneath its purified-water spigot, and shuts the spigot off automatically when the container is full. These refrigerators are the latest versions of a style that for years has been made in Mexico.

Find the equilibrium vector for the transition matrix below. left bracket Start 3 By 3 Matrix 1st Row 1st Column 0.3 2nd Column 0.3 3rd Column 0.4 2nd Row 1st Column 0.2 2nd Column 0.4 3rd Column 0.4 3rd Row 1st Column 0.3 2nd Column 0.2 3rd Column 0.5 EndMatrix right bracket, The equilibrium vector is?

Trucks in a delivery fleet travel a mean of 100 miles per day with a standard deviation of 29 miles per day. The mileage per day is distributed normally. Find the probability that a truck drives at least 42 miles in a day. Round your answer to four decimal places.

Trucks in a delivery fleet travel a mean of 100 miles per day with a standard deviation of 33 miles per day. The mileage per day is distributed normally. Find the probability that a truck drives at least 169 miles in a day. Round your answer to four decimal places.

An air traffic controller spots two airplanes at the same altitude converging to a point as they fly at right angles to each other. One airplane is 120 miles from the point and has a speed of 480 miles per hour. The other is 160 miles from the point and has a speed of 640 miles per hour.

(a)At what rate is the distance between the planes changing? In MPH

(b)How much time does the controller have to get one of the airplanes on a different flight path? in MIN

A manufacturer of a certain type of tires claims that their tire lifetime is 30,000 miles. The Bureau of Consumer Protection wants to conduct an preliminary investigation on this claim.

a. If the true lifetime is only 29,000 miles, what is the chance that the Bureau won’t be able to detect such difference with data only on 16 tires? Assume that the SD of all tire lifetimes is about 1,500 miles.

b. How many tires should the Bureau test on so that they can detect the lifetime of 29,000 miles or less with 90% power?

miles of frequent travelers (miles) / # employees

Danube recently acquired a delivery van for $24,200 paying cash. Danube projects a 4 year useful service life and a remaining residual value on the delivery van of $2,200. Danube expects to drive the van 106,000 miles during the useful service life. Please compute the annual depreciation for the 4 year life of the delivery van for each of these methods:

1. Straight-line

Depreciation expense

2. Double-declining-balance. (Round your depreciation rate to 2 decimal places. Round your final answers to the nearest whole dollar.) End year ammounts. Years 1,2,3, with depreciation expense, accumulated depreciation and book value for each year.

3. Actual miles driven each year were 19,000 miles in Year 1; 29,000 miles in Year 2; 23,000 miles in Year 3; and 25,000 miles in Year 4. Note that actual total miles of 96,000 fall short of expectations by 10,000 miles. Calculate annual depreciation for the four-year life of the van using activity-based. (Round your depreciation rate to 2 decimal places.) end of year amounts year 1, 2, 3, 4, with depreciation expense, accumulated depreciation and book value for each year.

Please explain via excel with formulas

8b What is the probability that at least four of ten new customers would Enroll in the new Program (using all the data)? Exactly seven? Less than six? Now compute these same questions and report your findings based on the new probability value after you remove the customers that were given No Offer. Briefly explain how the results change.