General Accounting Reasoning Problem: Desert Sun Solar panels have a base output of 300 watts, but their efficiency is affected by temperature and dust. The temperature causes a loss of 0.5% per degree Celsius above 25°C, and dust reduces efficiency by 3% per week since the last cleaning. Calculate the output of the solar panel after 3 weeks at 35°C, considering both the temperature and dust reduction effects.

General Accounting Reasoning Problem: Desert Sun Solar panels have a base output of 300 watts, but their efficiency is affected by temperature and dust. The temperature causes a loss of 0.5% per degree Celsius above 25°C, and dust reduces efficiency by 3% per week since the last cleaning. Calculate the output of the solar panel after 3 weeks at 35°C, considering both the temperature and dust reduction effects.

Managerial Accounting

15th Edition

ISBN:9781337912020

Author:Carl Warren, Ph.d. Cma William B. Tayler

Publisher:Carl Warren, Ph.d. Cma William B. Tayler

Chapter14: The Balanced Scorecard And Corporate Social Responsibility

Section: Chapter Questions

Problem 1MAD: Den-Tex Company is evaluating a proposal to replace its HID (high intensity discharge) lighting with...

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A VMB pressure regulator allows gas suppliers and panel builders to provide compact gas handling equipment, thereby minimizing the space required in clean rooms. Veritech Micro Systems is planning to expand its clean room to accommodate a new product design team. The company estimates that it can reduce the space in the clean room by 7 square meters if it uses the compact equipment. If the cost of construction for a clean room is $5000 per square meter, what is the annual worth of the savings at 10% per year interest if the cost is amortized over 10 years?
A chemical company wishes to determine whether a new catalyst XA-100 changes the mean hourly yield of its chemical process and is different from the historical process mean of 750 pounds per hour. After 35 trials are conducted using the new catalyst, the following outputs were given: t = 6.943 at α = 0.01. The null hypothesis is Ho: __________. (no spaces in your answer)
A manager is trying to decide whether to buy one machine or two. If only one machine is purchased and demand proves to be excessive, the second machine can be purchased later. Some sales would be lost, however, because the lead time for delivery of this type of machine is 6 months. In addition, the cost per machine will be lower if both machines are purchased at the same time. The probability of low demand is estimated to be 0.30 and that of high demand to be 0.70. The after-tax NPV of the benefits from purchasing two machines together is $90,000 if demand is low and $170,000 if demand is high. If one machine is purchased and demand is low, the NPV is $120,000. If demand is high, the manager has three options: (1) doing nothing, which has an NPV of $120,000; (2) subcontracting, with an NPV of $140,000; and (3) buying the second machine, with an NPV of $130,000. a. Draw a decision tree for this problem. b. What is the best decision and what is its expected payoff?
A manager is trying to decide whether to buy one machine or two. If only one machine is purchased and demand proves to be excessive, the second machine can be purchased later. Some sales would be lost, however, because the lead time for delivery of this type of machine is six months. In addition, the cost per machine will be lower if both machines are purchased at the same time. The probability of low demand is estimated to be 0.20 and that of high demand to be 0.80. The after-tax NPV of the benefits from purchasing two machines together is $70,000 if demand is low and $170,000 if demand is high. If one machine is purchased and demand is low, the NPV is $100,000. If demand is high, the manager has three options: (1) doing nothing, which has an NPV of $100,000; (2) subcontracting, with an NPV of $140,000; and (3) buying the second machine, with an NPV of $120,000. What is the best decision and what is its expected payoff? Best decision is to buy nothing…
Can someone help me with part B of this problem?: Verasource Microprocessor Corporation sells 200 computer chips a month for $1,500 each. variable costs are $1,500,000. Fixed costs are $500,000. there's a defect rate of 8%. What is the hidden cost to the company of making this rate of defectives instead of 2,000 good chips each month? Suppose a six sigma effort can reduce the defects to a six sigma level. what is the impact on profitability?
An old, heavily used warehouse currently has an incandescent lighting system. The lights run essentially 24 hr/day, 365 days/yr and draw about 10 kW of power. Consideration is being given to replacing these lights with fluorescent lights to save on electricity. It is estimated that the same level of lighting can be achieved with 4.5 kW of fluorescent lights. Replacement of the lights will cost about $11,000. Bulb replacement and other maintenance are not expected to be significantly different. Electricity for the lights currently costs $0.045/kWh. The warehouse is scheduled for demolition in five years to make way for a more modern facility. The company has a MARR of 15%. Should the company replace the incandescent lights with fluorescent lights? State any assumptions you make.
3. Useful lives are equal to the study period At the Motorola plant in Mesa, Arizona, it is desired to determine whether oneinch-thick insulation or two-inch-thick insulation should be used to reduce heat loss from a long section of steam pipe. The heat loss from this pipe without any insulation would cost $2.00 per linear foot per year. The one-inch insulation will eliminate 88% of the heat loss and will cost $0.60 per foot. Two-inch insulation will eliminate 92% of the heat loss and will cost $1.10 per foot. The steam pipe is 1,000 feet in length and will last for10 years. MARR = 6% per year. Which insulation thickness should be recommended?
2. What revenue would the sale of the breakeven quantity for $5.50 per gallon generate? IceLess is an anti-icing solution sold in gallon plastic jugs. It is poured into the windshield washer bottle of your car. Wash your windshield and the solution prevents the glass from icing over for about four hours. Production incurs the following fixed and variable costs. It is priced initially at $5.50 per gallon. Fixed costs (per year) Variable Costs per gallon Rent: $18000 Glycol: $1.50 Utilities: 13200 FreezeFree 312: .50 Managerial salaries: 20000 Mfg labor: .20 Flammability permit: 12000 Packaging: .20 Other fixed expense: 2400 Inert ingredients: .60 Total fixed: $65600 Advertising: .30 Total: $3.30
Den-Tex Company is evaluating a proposal to replace its HID (high intensity discharge) lighting with LED (light emitting diode) lighting throughout its warehouse. LED lighting consumes less power and lasts longer than HID lighting for similar performance. The following information was developed: a. Determine the investment cost for replacing the 700 fixtures. b. Determine the annual utility cost savings from employing the new energy solution. c. Should the proposal be accepted? Evaluate the proposal using net present value, assuming a 15-year life and 8% minimum rate of return. (Present value factors are available in Appendix A.)
If the air-conditioning system for a 200,000 ft2 building is estimated to be 400 ft2 per ton and to cost $4000 per ton, then what will be the system cost? And If, through load management, the system capacity for the building in above problem is reduced by 10%, will the system cost be reduced by 10%? If not, why?
Consider a drill press containing three drill bits. The current policy (called individual replacement) is to replace a drill bit when it fails. The firm is considering changing to a block replacement policy in which all three drillbits are replaced whenever a single drill bit fails. Each time the drill press is shut down, the cost is $100. A drill bit costs $50, and the variable cost of replacing a drill bit is $10. Assume that the time to replace a drill bit isnegligible. Also, assume that the time until failure for a drill bit follows an exponential distribution with a mean of 100 hours. This can be modeled in @RISK with the formula 5RISKEXPON (100). (Note: If you have the academic version of @RISK, this problem will require more RISKEXPON functions than the 100 allowed, but there is an easy workaround. An exponentially distributed random variable can be generated with Excel functions only using the formula =-Mean*LN(RAND()). Then @RISK can still be used to run the simulation.)…