Operations Management
13th Edition
ISBN: 9781259667473
Author: William J Stevenson
Publisher: McGraw-Hill Education
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
Chapter 19, Problem 6DRQ
a)
Summary Introduction
To explain: The term “Basic variable”.
b)
Summary Introduction
To explain: The term “Shadow price”.
c)
Summary Introduction
To explain: The term “range of feasibility”.
d)
Summary Introduction
To explain: The term “range of optimality”.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Pls help ASAP for both
Calculating outcomes as equally likely would BEST describe:
O a. Maximax criterion
O b. Laplace criterion
O c. Regret criterion
Od. Maximin criterion
Determining the average payoff for each alternative and choosing the one with the BEST payoff is the approach called:
ea, maximax
O b. minimax regret
O c. laplace
Od maximin
M
I want to answer to solve ㅠㅠㅠㅠ.
Q1. A builder has located a piece of property that she would like to but and eventually build on. The land is currently zoned for four homes per acre, but she is planning to request new zoning. What she builds depends on approval of zoning requests and your analysis of this problem to advise her. With her input and your help, the decision process has been reduced to the following costs, alternatives, and probabilities
Cost of land $2 MillionProbability of rezoning .6If the land is rezoned, there will be additional costs for new roads, lighting, and so on of $1 million.
If the land is rezoned, the contractor must decide whether to build a shopping center or 1,500 apartments that the tentative plan shows would be possible. If she builds a shopping center, there is a 70% chance that she can sell the shopping center to a large department store chin for $4 million over her construction cost, which excludes the land; and there is a 30% chance that she can…
Chapter 19 Solutions
Operations Management
Ch. 19 - For which decision environment is linear...Ch. 19 - What is meant by the term feasible solution space?...Ch. 19 - Explain the term redundant constraint.Ch. 19 - Prob. 4DRQCh. 19 - Prob. 5DRQCh. 19 - Prob. 6DRQCh. 19 - Prob. 1PCh. 19 - Prob. 2PCh. 19 - Prob. 3PCh. 19 - A small candy shop is preparing for the holiday...
Ch. 19 - A retired couple supplement their income by making...Ch. 19 - Solve each of these problems by computer and...Ch. 19 - Prob. 7PCh. 19 - For Problem 6b: a. Find the range of feasibility...Ch. 19 - Prob. 9PCh. 19 - Prob. 10PCh. 19 - Prob. 11PCh. 19 - The manager of the deli section of a grocery...Ch. 19 - Prob. 13PCh. 19 - A chocolate maker has contracted to operate a...Ch. 19 - Prob. 15PCh. 19 - Prob. 16PCh. 19 - Prob. 1.1CQCh. 19 - Prob. 1.2CQCh. 19 - Prob. 1.3CQCh. 19 - Prob. 2.1CQCh. 19 - Prob. 2.2CQCh. 19 - Prob. 2.3CQCh. 19 - Prob. 2.4CQ
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.Similar questions
- It costs a pharmaceutical company 75,000 to produce a 1000-pound batch of a drug. The average yield from a batch is unknown but the best case is 90% yield (that is, 900 pounds of good drug will be produced), the most likely case is 85% yield, and the worst case is 70% yield. The annual demand for the drug is unknown, with the best case being 20,000 pounds, the most likely case 17,500 pounds, and the worst case 10,000 pounds. The drug sells for 125 per pound and leftover amounts of the drug can be sold for 30 per pound. To maximize annual expected profit, how many batches of the drug should the company produce? You can assume that it will produce the batches only once, before demand for the drug is known.arrow_forwardThe Tinkan Company produces one-pound cans for the Canadian salmon industry. Each year the salmon spawn during a 24-hour period and must be canned immediately. Tinkan has the following agreement with the salmon industry. The company can deliver as many cans as it chooses. Then the salmon are caught. For each can by which Tinkan falls short of the salmon industrys needs, the company pays the industry a 2 penalty. Cans cost Tinkan 1 to produce and are sold by Tinkan for 2 per can. If any cans are left over, they are returned to Tinkan and the company reimburses the industry 2 for each extra can. These extra cans are put in storage for next year. Each year a can is held in storage, a carrying cost equal to 20% of the cans production cost is incurred. It is well known that the number of salmon harvested during a year is strongly related to the number of salmon harvested the previous year. In fact, using past data, Tinkan estimates that the harvest size in year t, Ht (measured in the number of cans required), is related to the harvest size in the previous year, Ht1, by the equation Ht = Ht1et where et is normally distributed with mean 1.02 and standard deviation 0.10. Tinkan plans to use the following production strategy. For some value of x, it produces enough cans at the beginning of year t to bring its inventory up to x+Ht, where Ht is the predicted harvest size in year t. Then it delivers these cans to the salmon industry. For example, if it uses x = 100,000, the predicted harvest size is 500,000 cans, and 80,000 cans are already in inventory, then Tinkan produces and delivers 520,000 cans. Given that the harvest size for the previous year was 550,000 cans, use simulation to help Tinkan develop a production strategy that maximizes its expected profit over the next 20 years. Assume that the company begins year 1 with an initial inventory of 300,000 cans.arrow_forwardPlay Things is developing a new Lady Gaga doll. The company has made the following assumptions: The doll will sell for a random number of years from 1 to 10. Each of these 10 possibilities is equally likely. At the beginning of year 1, the potential market for the doll is two million. The potential market grows by an average of 4% per year. The company is 95% sure that the growth in the potential market during any year will be between 2.5% and 5.5%. It uses a normal distribution to model this. The company believes its share of the potential market during year 1 will be at worst 30%, most likely 50%, and at best 60%. It uses a triangular distribution to model this. The variable cost of producing a doll during year 1 has a triangular distribution with parameters 15, 17, and 20. The current selling price is 45. Each year, the variable cost of producing the doll will increase by an amount that is triangularly distributed with parameters 2.5%, 3%, and 3.5%. You can assume that once this change is generated, it will be the same for each year. You can also assume that the company will change its selling price by the same percentage each year. The fixed cost of developing the doll (which is incurred right away, at time 0) has a triangular distribution with parameters 5 million, 7.5 million, and 12 million. Right now there is one competitor in the market. During each year that begins with four or fewer competitors, there is a 25% chance that a new competitor will enter the market. Year t sales (for t 1) are determined as follows. Suppose that at the end of year t 1, n competitors are present (including Play Things). Then during year t, a fraction 0.9 0.1n of the company's loyal customers (last year's purchasers) will buy a doll from Play Things this year, and a fraction 0.2 0.04n of customers currently in the market ho did not purchase a doll last year will purchase a doll from Play Things this year. Adding these two provides the mean sales for this year. Then the actual sales this year is normally distributed with this mean and standard deviation equal to 7.5% of the mean. a. Use @RISK to estimate the expected NPV of this project. b. Use the percentiles in @ RISKs output to find an interval such that you are 95% certain that the companys actual NPV will be within this interval.arrow_forward
- Formulate decision variable, objective function, and constraints only. Eastborne Realty has $2 million available for the purchase of new rental property. After an initial screening, Eastborne reduced the investment alternatives to townhouses and apartment buildings. Each townhouse can be purchased for $282,000, and five are available. Each apartment building can be purchased for $400,000, and the developer will construct as many buildings as Eastborne wants to purchase. Eastborne’s property manager can devote up to 140 hours per month to these new properties; each townhouse is expected to require 4 hours per month, and each apartment building is expected to require 40 hours per month. The annual cash flow, after deducting mortgage payments and operating expenses, is estimated to be $10,000 per townhouse and $15,000 per apartment building. Eastborne’s owner would like to determine the number of townhouses and the number of apartment buildings to purchase to maximize annual cash flow.arrow_forwardWhat is the best decision alternative under Maximax criterion? (Provide complete decision table solution) DIHL Co. is a Danao-based logistics company owned by Engr. Donald H. Lalican. Anticipating the growing demand for delivery services, he developed a strategic plan for the year 2022. The options are to hire additional delivery crews in their Mandaue facility, construct a new facility in Talisay City, or subcontract Ohlala Move, a small- time company. A study conducted by the marketing department forecasted the following payoff values, which are summarized in the table below. The values are expressed as gains and alpha = 0.6. States of Nature Decision Alternatives Failure Low Moderate High Hire additional Drivers in Mandaue -450,000 -250,000 250,000 500,000 Construct a facility in Talisay -800,000 -400,000 300,000 700,000 Subcontracting Ohlala Move -100,000 -10,000 150,000 300,000 Hire Additional Drivers in Mandaue Construct a Facility in Talisay O Subcontracting Ohlala Move Both…arrow_forwardA and B pleasearrow_forward
- Please see the image attached.arrow_forwardA decision maker is looking to minimising costs through three alternative decisions a1 , b2 and c3 under two states of nature/events S1 and S2 with S2 having a probability of 30% . For a1 payoffs for s1 K100 million and s2 K540 million For a2 payoff for s1 K150 million and s2 –K50 million For a3 payoff for s1 K350 million and s2 K320 million Find EMV and recommend the course of action Find the EMV under certainty Use the EVC to find the EVPI Determine the opportunity loss table Find the course of action that minimises EOL Compare the minimum EOL with the EVPI.arrow_forwardAn electronics factory operates on four production lines: laptops, mobiles, desktop computers, smart boards, and there were three cases of demand (weak, medium, and high), and the matrix of returns was as follows: Laptops Mobiles Risk Desktop Computers Smart Boards High 40 45 35 30 Economic state Medium 25 15 30 20 1. The problem presented above is decision-making under Certainty Uncertainty Weak 10 5 -10 -5 Save All Answers Save and Submitarrow_forward
- The following payoff table shows a profit for a decision analysis problem with two decision alternatives and three states of nature. In order to get full credit, show your all work done step by step including cell calculations using excel functions. State of Nature Decion Alternatives s1 s2 s3 d1 250 100 50 d2 100 75 100 a) Construct a decision tree for this problem. b) Suppose that the decision-maker obtains the probabilities P(s1)=0.65, P(s2)=0.15, and P(s3)=0.20. Use the expected value approach to determine the optimal decision.arrow_forwardAn optimistic decision-making criterion is sometimes called: a. equally like criterion b. decision making under certainty c. maximin criterion d. maximax criterionarrow_forwardCool Beans is a locally owned coffeeshop that competes with two large coffee chains, PlanetEuro and Frothies. Alicia, the owner, is considering two different marketing promotions and thinks that CLV analysis will help her decide the best course of action. An average specialty coffee drink sells for $4 and has a margin of 66%. One promotion is providing loyalty cards to her regular customers that would give them one free specialty coffee drink after 10 regular purchases. Alicia estimates that this will increase the frequency of their purchases by 16%. Currently, her customers average buying 2 specialty drinks per week.The second promotion is targeted at new customers. She would offer a free specialty drink to incoming college freshmen by providing a coupon with their orientation packages. Because of her location near the college, she expects that 330 students will come to Cool Beans for a free trial. Of those, she anticipates that 13% will become regular customers who will purchase at…arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Practical Management ScienceOperations ManagementISBN:9781337406659Author:WINSTON, Wayne L.Publisher:Cengage,
Practical Management Science
Operations Management
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:Cengage,