Andrew Thomas, a sandwich vendor at Hard Rock Cafe's annual Rockfest, created a table of conditional values for the various alternatives (stocking decision) andstates of nature (size of crowd)States of Nature (demand)Average$12,000$9,000$8,100BigSmall$22,000-$2,000AlternativesLarge StockAverage StockSmall Stock$12,000$6,000$9,000$4,000The probabilities associated with the states of nature are 0.20 for a big demand, 0.45 for an average demand, and 0.35 for a small demanda) The alternative that provides Andrew Thomas the greatest expected monetary value (EMV) is

Expected Monitory Value is a statistical technique which helps to predict the profit or loss based…

Answered: Andrew Thomas, a sandwich vendor at…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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Mention at least 5 specific points from this article
Very Favorable Average Market Unfavorable Alternatives Market Market Build new plant $250,000 $180.000 - S200,000 Subcontract $270.000 $185,000 - $220,000 Overtime S100.000 $50,000 - $12.000 Do Nothing SO SO $0 a) Using the decision making under uncertainty with the criterion of Maximax The appropriate decision will be The value of the return under this decision is $ b) Using the decision making under uncertainty with the criterion of Maximin The appropriate decision will be The value of the return under this decision is $ c) Using the decision making under uncertainty with the criterion of Equally Likely The appropriate decision will be The value of the return under this decision is $ (enter your answer as a whole number).
Year Sales 1) 123 2)118 3) 109 4) 112 5) 100 6) 110 7) 124 8)Determine the demand in Year 8 using a 3-month moving average using the sales table. Use weights of 0.40, 0.30 and 0.30
3. The manager for a manufacturing company must recommend whether to construct a large plant, construct a small plant or do nothing. He estimates the long-run profits in $ as follows: State of Nature Alternative Good Average Poor Market($) Market ($) Market ($) Construct a 100,000 35,000 -60,000 large plant Construct a 75,000 25,000 -40,000 small plant Do nothing -5,000 0 0 Probability 25% 50% 25% Solve using: A. Expected Opportunity Loss B. Expected Value of Perfect Information
Digital Controls, Inc. (DCI), manufactures two models of a radar gun used by police to monitor the speed of automobiles. Model A has an accuracy of plus or minus 1 mile per hour, whereas the smaller model B has an accuracy of plus or minus miles per hour. For the next week, the company has orders for 100 units of model A and 150 units of model B. Although DCI purchases all the electronic components used in both models, the plastic cases for both models are manufactured at a DCI plant in Newark, New Jersey. Each model A case requires 4 minutes of injection-molding time and 6 minutes of assembly time. Each model B case requires 3 minutes of injection-molding time and 8 minutes of assembly time. For next week, the Newark plant has 600 minutes of injection-molding time available and 1,080 minutes of assembly time available. The manufacturing cost is $10 per case for model A and $6 per case for model B. Depending upon demand and the time available at the Newark plant, DCI occasionally…
Tucson Machinery, Inc., manufactures numerically controlled machines (NCM), which sell for an average price of $12 million each. Sales for these NCMs for the past two years were as follows: Quantity (units) Quantity (units) Quarter Last year ||| III IV 12 18 20 24 Quarter This year | || ||| IV 20 24 28 32 Find the equation of a simple linear regression line using Excel, in the format of Y=a+bX. Keep two decimals of a and b. Forecast the first quarter sales for next year. Keep two decimals.
Cafe Michigan 's manager, Gary Stark, suspectsthat demand for mocha latte coffees depends on the price beingcharged. Based on historical observations, Gary has gathered thefollowing data, which show the numbers of these coffees sold oversix different price values:Using these data, how many mocha latte coffees would be forecastto be sold according to simple linear regression if the priceper cup were $2.80?
Find the MAD and Tracking signal in below table. Do you think this forecast is acceptable? Why? How many units this company shall keep as the safety stocks if service level is 90%? Period Actual Demand Forecast 220 200 2 300 310 3 400 340 4 340 350 5 280 300 250 270
The monthly demand for units manufactured by the Acme Rocket Company has been as follows:Month Units Month UnitsMay 100 September 105June 80 October 110July 110 November 125August 115 December 120a. Use the exponential smoothing method to forecast the number of units for June to January. The initial forecast for May was 105 units; α = 0.2.b. Calculate the absolute percentage error for each month from June through December and the MAD and MAPE of forecast error as of the end of December.c. Calculate the tracking signal as of the end of December. What can you say about the performance of your forecasting method?
Decision Making Under Uncertainty In the Table, we apply the concept of Maximax choice, the Maxmin choice, and the equally likely choice. Given the data/information in the Table, compute for the row average. After that, determine the amount of the ROW AVERAGE that would be adopted to be best alternative. The best alternative is the alternative with the highest value of the row average. In this case, which option is more attractive? Values in PhP State of Nature Favorable Unfavorable Maximum Market Minimum in Row Alternatives Market in Row Row Average Project A 80,000.00 20,000.00 80,000.00 20,000.00 Project B 40,000.00 25,000.00 40,000.00 25,000.00 Project C 30,000.00 10,000.00 30,000.00 10,000.00 Project D (Do Nothing)
Please help to solve step by step.
A warehouse manager at Mary Beth Marrs Corp. needs to simulate the demand placed on a product that does not fit standard models. The concept being measured is "demand during lead time," where both lead time and daily demand are variable. The historical record for this product, along with the cumulative distribution, appear in the table. Demand During Lead Time Cumulaive Probability Probability 120 0.01 0.01 140 0.12 0.13 160 0.35 0.48 180 0.20 0.68 200 0.04 0.72 220 0.08 0.80 240 0.20 1.00 The following random numbers have been generated: 9, 78, 40, 41, and 99. (Note: Assume the random number interval begins at 01 and ends at 00.) Based on the given probabilty distribution, for the given random number the demand during the lead time is: Random Number 9 78 40 41 99 Demand The average demand during the lead time is (enter your response as an integer). The total demand during the lead time based on the five simulations is (enter your response as an integer).

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