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- At the beginning of each week, a machine is in one of four conditions: 1 = excellent; 2 = good; 3 = average; 4 = bad. The weekly revenue earned by a machine in state 1, 2, 3, or 4 is 100, 90, 50, or 10, respectively. After observing the condition of the machine at the beginning of the week, the company has the option, for a cost of 200, of instantaneously replacing the machine with an excellent machine. The quality of the machine deteriorates over time, as shown in the file P10 41.xlsx. Four maintenance policies are under consideration: Policy 1: Never replace a machine. Policy 2: Immediately replace a bad machine. Policy 3: Immediately replace a bad or average machine. Policy 4: Immediately replace a bad, average, or good machine. Simulate each of these policies for 50 weeks (using at least 250 iterations each) to determine the policy that maximizes expected weekly profit. Assume that the machine at the beginning of week 1 is excellent.The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?Use the below formula to calculate the CLV for the following: A manager of a cable company wants to determine if it is strategic to acquire the Brett family, by estimating their household-level CLV. The manager estimates that it will cost the company $80 (A) to get the Bretts’ to switch, and the Bretts’ will generate $150 profit each year (M), with a $30 annual marketing cost to retain them (C). The estimated retention rate (r) is 65%, and the current discount rate is 5%.(d) i) CLV= ii) Based on your calculation, are the Brett’s profitable to the cable company?
- The long-term financial forecast plays a crucial part in the company's long-term strategic plan. True or False True False 25 28 étv N 4cosmetics manufacturer's marketing department has developed a linear trend equation that can be used to predict annual sales of its popular Hand&Foot Cream. F t = 80 + 15t where Ft = Annual sales (000 bottles) t is in years Are annual sales increasing or decreasing? By how much?A firm's short-term forecast helps top management in preparing a company budget. True or False True False < Prev 10 of 10 Next 27 28 tv S
- Use this data and build a model to forecast annual maintenance expenses based on the weekly usage in hours. If the machine is used for 38.4 hours, what should I expect my annual maintenance expenses to be? (Keep one decimal place) Weekly Usage (hours) Annual Maintenance Expense 13 17.0 10 22.0 20 30.0 28 37.0 32 47.0 17 30.5 24 32.5 31 39.0 40 51.5 38 40.0The following table shows a tool and die company’s quarterly sales for the current year. What sales would you predict for the first quarter of next year? Quarter relatives are SR1 = 1.10, SR2 = .99, SR3 = .90, and SR4 = 1.01.Quarter 1 2 3 4Sales 88 99 108 141.4Nyka cosmetics is planning to launch cosmetics in teen group caterigary. However,this market is crowded with a lot of competitors already Before the launch , nykaa cosmetics is trying to estimate the potential of thier cosmetics in the market by understanding the following for the next 2 years .The proportion of current cosmetics users( in teen category)who are going to switch to nykaa cosmetics. The source of business of nykaa cosmetics is the percentage of people who would use nykaa cosmetics in 2021 who once used each of the competitors for example 40% of the nykaa cosmetic users in 2021 used to use competitor 1 in 2019 In the next years ,30% of cosmetic users in teen category will switch to nykaa cosmetics .what will be the market share graph for 2021 including the 5 competitors
- The following table shows the three-period moving average and five-period moving average for monthly sales of Budget Furniture's during 2019. Moving averages of Budget Furniture's Time period Months Sales Three-period moving average (rounded off to Five-period moving average four decimals) R'millions 1 Jan 7 5.0000 6.2 February 5.6667 6.6 March 5 7.0000 B 4 April 8.3333 8.2 May 7 9.3333 8.4 June 8.3333 9.6 7 July 12 8.6667 9.6 August 4 A 9.2 September 10 10.6667 10 October 13 10.6667 11 November 9 12 December 10 The seasonal index for the month of February in 2019 is: LO.A 45 kW rated solar power system has its power output and the Solar irradiance on the PV system measured during daylight hours over a day. Based on the following data, create a scatter plot of the power output of the PV system vs the solar irradiance and comment on the relationship between the two. Based on the data, can you tell which season this day was in? Solar Irradiance on the PV system (kW/m²) 0 0.079 0.333 0.571 0.751 0.86 0.914 0.93 0.904 0.803 0.606 0.345 0.054 Power output from the PV system (kW) 0 3.098 12.438 20.124 25.703 28.498 29.587 29.69 28.798 26.264 20.434 12.223 2In the given problem, what other probability distributions might accurately describe Oakdale’s weekly usage of glue?
