The University of Miami bookstore stocks textbooks in preparation for sales each semester. It normally relies on departmental forecasts and preregistration records to determine how many copies of a text are needed. Preregistration shows 85 operationsmanagement students enrolled, but bookstore manager Vaidy Jayaraman has second thoughts, based on his intuition and some historical evidence. Vaidy believes that the distribution of sales may range from 65 to 85 units, according to the followingprobability model:Demand6570758085Probability0.150.200.300.200.15This textbook costs the bookstore $65 and sells for $90. Any unsold copies can be returned to the publisher, less a restocking fee and shipping, for a net refund of $30.a) Based on the given information, Vaidy's conditional profits table for the bookstore is:Demand6570758085Stockp = 0.15p = 0.20p = 0.30p = 0.20p = 0.1565

Given: a demanding range of 65-85 is given, as well as the probability associated with each demand…

Answered: The University of Miami bookstore…

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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For the Hawkins Company, the monthly percentages of all shipments received on time over the past 12 months are: Monthly Proportion of All Shipments Received On Time 80 81 85 83 84 86 85 85 82 81 85 84 Estimate the average of MSE of a three-month moving average and an exponential smoothingfor α = 0.3. Group of answer choices 1.24 2.4 3.56 4.25 4.58
A restaurant manager with analyzing records of the last 6 weeks summarizes the daily demand figures in terms of the number of meals served as follows (Please fill the empty cells of the following table): Weeks Number of Meals 3-periods Moving Average [Actual - Forecast] (Actual - Forecast)2 1 60 -- -- -- 2 96 -- -- -- 3 103 -- -- -- 4 61 5 122 6 101 1. Which one of the following is closest to the forecast of the next week ( F7 ) for the number of meals to be served daily using the 3-periods moving average method ? a)143 b)95 c)57 d)62 2. Which one of the following is closest to the forecast error ( in terms of MAD ) for the weeks 4, 5 and 6 using the 3-periods moving average method ? a)22 b)29 c)30 d)24 3. What is the forecast error ( in terms of MSE ) for the weeks 4, 5 and 6 using the 3-periods moving average method ? a)641 b)577 c)705 d)897
10. Quarterly demand for Jaguar XJ8’s at a Tacloban Auto dealership is forecast with the equation, Y = 10 + 3x Where; X = time period (quarterly): Quarter 1 of 2021 = 0Quarter 2 of 2021 = 1Quarter 3 of 2021 = 2Quarter 4 of 2021 = 3 and so on...The demand for the luxury car is seasonal, and the weights of quarter 1, 2, 3, and 4 are 80%, 100%,130%, and 90% respectively. Using the trend projection, forecast the demand for each quarter of2023 and 2024. Then adjust each forecast with the weighted indices.
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).
The demand data for Double T Computer Services appears below. The company wants you to forecast the demand for period 4. What is your forecast using the least squares method? Period Demand 1 37 2 40 3 40
The University of Miami bookstore stocks textbooks in preparation for sales each semester. It normally relies on departmental forecasts and preregistration records to determine how many copies of a text are needed. Preregistration shows 85 operations management students enrolled, but bookstore manager Vaidy Jayaraman has second thoughts, based on his intuition and some historical evidence. Vaidy believes that the distribution of sales may range from 65 to 85 units, according to the following probability model: Demand Probability 65 0.05 Stock 65 70 75 80 85 70 0.25 This textbook costs the bookstore $82 and sells for $107. Any unsold copies can be returned to the publisher, less a restocking fee and shipping, for a net refund of $30. a) Based on the given information, Vaidy's conditional profits table for the bookstore is: Demand 75 P=0.30 65 P = 0.05 0000 70 P = 0.25 75 0.30 ☐☐☐☐ 80 0.15 00000 80 85 P = 0.15 P = 0.25 30000 85 0.25 ☐☐☐☐
A restaurant manager with analyzing records of the last 6 weeks summarizes the daily demand figures in terms of the number of meals served as follows (Please fill the empty cells of the following table): Weeks Number of Meals 3-periods Moving Average [Actual - Forecast] (Actual - Forecast)2 1 60 -- -- -- 2 96 -- -- -- 3 103 -- -- -- 4 61 5 122 6 101 1. Which one of the following is closest to the forecast of the next week ( F7 ) for the number of meals to be served daily using the 3-periods moving average method ? a)143 b)95 c)57 d)62 2. Which one of the following is closest to the forecast error ( in terms of MAD ) for the weeks 4, 5 and 6 using the 3-periods moving average method ? a)22 b)29 c)30 d)24 3. What is the forecast error ( in terms of MSE ) for the weeks 4, 5 and 6 using the 3-periods moving average method ? a)641 b)577 c)705 d)897
A shop is planning an order for a popular Christmas festive season product. Demand for the product usually starts from first week of December till first week of January and reduces sharply thereafter. For this reason, and to stimulate sales for leftovers, the product is sold at a significantly reduced price from the second week of January to the fourth week of January. Any leftover after the fourth week of January goes waste. The table below gives past data on total demand for the period from first week of December to first week of January, and from second week of January to fourth week of January, together with their respective chances of occurrence. The product can be purchased at a wholesale price of GHS60 per unit for a pack containing 600 products, GHS57 per unit for a pack containing 800 products, and GHS52 per unit for a pack containing 1000 products. The shop plans to sell the product for GHS80 per unit from first week of December to first week of January, and at a reduced…
Please do fast ASAP fast
Andrew Thomas, a sandwich vendor at hard rock café annual rockfest, created a table of conditional values for the various alternatives (stocking decision) and state of nature (size of crowd) Alternatives Large stock average stock small stock probabilities associated with states of nature are Big Big 35000 20000 10500 0.3 State of nature (demand) Average Small 15000 10000 8000 Average 0.5 determine the alternative that gives Andrew the greatest expected monetary value (EMV) compute the extpected value of perfect information (EVPI). Small -3000 5000 3000 0.2
Tasty Bread Company has monthly demand for one of its products as follows: March= 520; April=490; May=550; June=580; July=600; August=420. Compute the three-month moving average for July.
The department manager is using a combination of methods to forecast sales of toasters at a local department store. The demands are shown in the table below. Use two decimals in your answer. Week Actual Demand 24 2 30 3 32 4 35 40 6 43 Using weights of 0.50, 0.30, 0.20, Calculate the weighted three-week moving average for week 6 29.80 O 33.10 36.90 O 40.50

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