subject
Business, 14.02.2020 04:07 loredohome

A dry cleaner uses exponential smoothing to forecast equipment usuages at its main plant. August usage was forecasted to be 88 percent of capacity; actual usage was 89.6 percent of capacity. A smoothing constant of .1 is used.

a. Prepare a forecast for September.
b. Assuming actual September usuage of 92 percent, prepare a forecast for October usage

ansver
Answers: 1

Another question on Business

question
Business, 22.06.2019 10:00
In a chapter 7 bankruptcy, a debtor:
Answers: 2
question
Business, 22.06.2019 20:30
Caleb construction (cc) incurs supervisor salaries expense in the construction of homes. if cc manufactures 100 homes in a year, fixed supervisor salaries will be $400,000. with the current construction supervisors, cc's productive capacity is 150 homes in a year. however, if cc is contracts to build more than 150 homes per year, it will need to hire additional supervisors, which are hired as full-time rather than temporary employees. cc's productive capacity would then become 200 homes per year, and salaries expense would increase to $470,000. how would cc’s salaries expense be properly classified? fixed variable mixed stepped curvilinear
Answers: 3
question
Business, 22.06.2019 21:50
Assume that (i) setups need to be completed first; (ii) a setup can only start once the batch has arrived at the resource, and (iii) all flow units of a batch need to be processed at a resource before any of the units of the batch can be moved to the next resource. process step 1 molding 2 painting 3 dressing setup time 15 min. 30 min. no setup processing time 0.25 min./unit 0.15 min./unit 0.30 min./unit which batch size would minimize inventory without decreasing the process capacity?
Answers: 1
question
Business, 22.06.2019 22:50
Total marketing effort is a term used to describe the critical decision factors that affect demand: price, advertising, distribution, and product quality. define the variable x to represent total marketing effort. a typical model that is used to predict demand as a function of total marketing effort is based on the power function: d = axb suppose that a is a positive number. different model forms result from varying the constant b. sketch the graphs of this model for b = 0, b = 1, 0< b< 1, b< 0, and b> 1. (we encourage you to use excel to do this.) what does each model tell you about the relationship between demand and marketing effort? what assumptions are implied? are they reasonable? how would you go about selecting the appropriate model?
Answers: 1
You know the right answer?
A dry cleaner uses exponential smoothing to forecast equipment usuages at its main plant. August usa...
Questions
question
Spanish, 22.04.2020 19:14
question
Chemistry, 22.04.2020 19:15
question
Mathematics, 22.04.2020 19:15
question
Mathematics, 22.04.2020 19:15
Questions on the website: 13722367