**Title: Decision-Making in Residential Construction****Introduction:**As the manager of Smith Construction, you face a critical decision regarding the number of homes to build in a new residential area where you are the sole builder. A significant challenge is that you must determine the volume of homes to construct without prior knowledge of the market demand. In this scenario, there's a 60 percent chance of encountering low demand and a 40 percent chance of high demand in this large neighborhood.**Market Demand Scenarios:**The (inverse) demand functions corresponding to these two scenarios are as follows:1. **Low Demand Scenario:**\[ P = 400,000 - 4000Q \]2. **High Demand Scenario:**\[ P = 900,000 - 2500Q \]**Cost Function:**Your cost function for the number of homes built is given by:\[ C(Q) = 125,000 + 430,000Q \]**Decision Point:**How many new homes should you build, and what profits can you expect?**Evaluation of Homes to Build:****Number of homes you should build:** ______ homesClick here to understand how to calculate the optimal number of homes and expected profits based on the given demand and cost functions. Detailed explanations and step-by-step calculations are provided to guide you through the decision-making process. **Conclusion:**Making informed decisions in uncertain market conditions requires understanding demand scenarios and cost implications. As illustrated, a careful analysis can help in determining the optimal number of homes to build to maximize expected profits.For more detailed information, visit our comprehensive guides on economic decision-making in construction management.

Profit is maximized when the difference between TR and the TC is maximised. The difference is…

As the manager of Smith Construction, you need to make a decision on the number of homes to build in a new residential area where you are the only builder. Unfortunately, you must build the homes before you learn how strong demand is for homes in this large neighborhood. There is a 60 percent chance of low demand and a 40 percent chance of high demand. The corresponding (inverse) demand functions for these two scenarios are P = 400,000-400Q and P=900,000-2500, respectively. Your cost function is C(Q) = 125,000+ 430,0000. How many new homes should you build, and what profits can you expect? Number of homes you should build: homes

As the manager of Smith Construction, you need to make a decision on the number of homes to build in a new residential area where you are the only builder. Unfortunately, you must build the homes before you learn how strong demand is for homes in this large neighborhood. There is a 60 percent chance of low demand and a 40 percent chance of high demand. The corresponding (inverse) demand functions for these two scenarios are P = 400,000-400Q and P=900,000-2500, respectively. Your cost function is C(Q) = 125,000+ 430,0000. How many new homes should you build, and what profits can you expect? Number of homes you should build: homes

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

See similar textbooks

Similar questions

You are the manager of a firm that produces furniture. All your clients are in Kumasi (K) and Accra (A). Suppose the monthly inverse demand function for your furniture in in Accra and Kumasi combined is P = 1200 - 4Q. Because of prohibitive cost of transporting furniture between Accra and Kumasi, you set up two plants, one in each town. The cost of producing furniture at each facility is given by CA (QA ) = 8000 + 6QA² and Ck(@k) = 8000 + 6Qk² where Q = Qa + Qk and Qa and Qk are the quantity of furniture produced at Accra and Kumasi respectively. Determine the profit maximizing amounts of electricity to produce in the two facilities, the optimal price and the profit.
don't use ai answer,i will 5 upvotes
help me
You are the manager of Zokia Ghana Limited, a producer of beans. In Ghana, it is possible to produce beans or groundnut using the same resources. Therefore, producers are able to sw itch from beans to groundnut production depending on market conditions. Consequently, Zokia consulted an Economist who estimated the demand function for beans as: Qbd = 600 – 4Pb – 0.03M – 12Pg + 15T + 6Pe + 1.5N where Qbd is the quantity demanded of beans each month, ?? is the average price of beans (in Ghana Cedis), M is the average household income (in GH¢), ?? is the price of groundnut (in GH¢), T is a consumer taste index ranging in value from 0 to 10 (the highest rating), ?? is the price (in GH¢) consumers expect to pay next month for beans, and N is the number of buyers in the market for beans. Assume the following initial values: ??=5, ??= 40, T= 6.5, Pe= 5.25, N= 2000, Qbd = 2479 Explain to your Board of Directors why management should be worried about a rise in the price of groundnut.
Suppose your firm owns a retirement development that is composed of a gated housing community and a championship level private golf course designed to appeal to retirees that are avid golfers. The development is somewhat isolated and there are no other golf courses within easy driving distance. Obviously, one of the main revenue sources for your company is golf course operations. Suppose the annual individual demand for avid golfers is represented by the following inverse demand function (Q is in annual rounds played): P=100-1.250 Most of the cost to maintain the golf course is fixed in the sense that it is not related to the number of rounds played. Your firm has estimated that the variable cost per round is the result of the cost of leasing and maintaining golf carts and is $20 per round. That is, the variable cost function is: VC (Q) = 200 a. If your firm decides to charge a single price per round of golf, what price should it charge and how many rounds of golf can you expect an…
if the price of a minivan is 40,000 find the price and quantity of a passenger car that maximizes revenue when the demand for a passenger car is characterized by the following question Qd= 20,000 - 4P1+ 2P2
A manufacturer of automobiles is planning a new model and wants to determine the responsiveness of demand in a number of scenarios. The demand function for the new model is given by the following function: Q=30000-3P+2000ln(PA) +Y Where Q is the quantity sold of the new model, P is the price for the new model, PA is the price of the competitor's model and Y is the annual income of a typical purchaser. The new model price is planned to be £20,000 and the competitor is charging £25,000. The annual income of a typical purchaser is £30,000. (a) The manufacturer wishes to determine the responsiveness of the demand for the new model if the price of a competitor's model changes. Which measure of elasticity would be appropriate to fulfil this requirement? And provide a calculation of its value.
Question 9 A computer reseller needs to decide how many laptops to order next month. The lowest end laptop costs $220 and the retailer can sell these for $300. However, the laptop manufacturer already announced that they are coming out with a new model in a couple of months. Any laptops that will not be sold by the end of next month will have to be heavily discounted at half-price. The reseller also needs to consider that every time he fails to fulfill a laptop order, he stands to lose $25 for every unit. Based on the past months’ sales, the reseller estimates the demand probabilities for sales (S) as follows: P(0 units) = 0.3; P(1 units) = 0.4; P(2 units) = 0.2; P(3 units) =0.1. The reseller thinks it’s a good idea to conduct a survey on whether or not his customers are going to buy laptops and how many. The survey results will either be Yes (Y), No (N), or Don’t Know (DK). The probability estimates of the results based on the demand for the number of units are: P(Y|S = 0 units) =…
Presently, Alpha Chemical and Beta Cleaners are the only suppliers of services that clean and refurbish large holding tanks at manufacturing plants in the Northeast. No other suppliers have the equipment necessary to perform these treatments. The market inverse demand for these cleaning services is given below. P=800-80 where P is price per treatment and Q is total number of treatments per week. For simplicity, also assume that neither firm has fixed costs. From company records, you are given the following variable cost function for each firm: TVC₁ = 30 TVCg =5Q In the work that follows, you may round all your results to 2 decimal places to reduce the clutter in your answers. a. Suppose Elon Must is contemplating buying both companies and since Alpha has lower operating costs, his first thought is to shut down Beta and supply the entire market as a single plant monopoly. If he does this, what price will he charge per treatment and how many treatments will he sell each week? What…
A manufacturer of automobiles is planning a new model and wants to determine the responsiveness of demand in a number of scenarios. The demand function for the new model is given by the following function: Q = 30000 – 3P + 2000ln(PA) + Y Where Q is the quantity sold of the new model, P is the price for the new model, PA is the price of the competitor’s model and Y is the annual income of a typical purchaser. The new model price is planned to be £20,000 and the competitor is charging £25,000. The annual income of a typical purchaser is £30,000. (a) The manufacturer wishes to determine the responsiveness of the demand for the new model if the price of a competitor’s model changes. Which measure of elasticity would be appropriate to fulfil this requirement? And provide a calculation of its value.
PLZ SOLVE ASAP
A computer reseller needs to decide how many laptops to order next month. The lowest end laptop costs $220 and the retailer can sell these for $300. However, the laptop manufacturer already announced that they are coming out with a new model in a couple of months. Any laptops that will not be sold by the end of next month will have to be heavily discounted at half-price. The reseller also needs to consider that every time he fails to fulfill a laptop order, he stands to lose $25 for every unit. Based on the past months’ sales, the reseller estimates the demand probabilities for sales (S) as follows: P(0 units) = 0.3; P(1 units) = 0.4; P(2 units) = 0.2; P(3 units) =0.1. The reseller thinks it’s a good idea to conduct a survey on whether or not his customers are going to buy laptops and how many. The survey results will either be Yes (Y), No (N) or Don’t Know (DK). The probability estimates of the results based on the demand for number of units are: P(Y|S = 0 units) = 0.1 P(Y|S = 1…