Residents in one housing development were asked a series of Residents in one housing development were asked a series of questions by their homeowners’ association. Identify the type of data for each question. a. Did you play golf during the last month on the development’s new golf course? b. How many times have you eaten at the country club restaurant during the last month? c. Do you own a camper? d. Rate the new security system for the development (very good, good, poor, or very poor).

Residents in one housing development were asked a series of Residents in one housing development were asked a series of questions by their homeowners’ association. Identify the type of data for each question. a. Did you play golf during the last month on the development’s new golf course? b. How many times have you eaten at the country club restaurant during the last month? c. Do you own a camper? d. Rate the new security system for the development (very good, good, poor, or very poor).

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter10: Introduction To Simulation Modeling

Section: Chapter Questions

Problem 41P: At the beginning of each week, a machine is in one of four conditions: 1 = excellent; 2 = good; 3 =...

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At the beginning of each week, a machine is in one of four conditions: 1 = excellent; 2 = good; 3 = average; 4 = bad. The weekly revenue earned by a machine in state 1, 2, 3, or 4 is 100, 90, 50, or 10, respectively. After observing the condition of the machine at the beginning of the week, the company has the option, for a cost of 200, of instantaneously replacing the machine with an excellent machine. The quality of the machine deteriorates over time, as shown in the file P10 41.xlsx. Four maintenance policies are under consideration: Policy 1: Never replace a machine. Policy 2: Immediately replace a bad machine. Policy 3: Immediately replace a bad or average machine. Policy 4: Immediately replace a bad, average, or good machine. Simulate each of these policies for 50 weeks (using at least 250 iterations each) to determine the policy that maximizes expected weekly profit. Assume that the machine at the beginning of week 1 is excellent.
Under what conditions might a firm use multiple forecasting methods?
Daily high temperatures in St. Louis for the last week were as follows: 92, 91, 95, 95, 96, 90, 93 (yesterday). a) The high temperature for today using a 3-day moving average = 9393 degrees (round your response to one decimal place). b) The high temperature for today using a 2-day moving average = 91.591.5 degrees (round your response to one decimal place). c) The mean absolute deviation based on a 2-day moving average = 2.42.4 degrees (round your response to one decimal place). d) The mean squared error for the 2-day moving average = nothing degrees2 (round your response to one decimal place).
for the last week, daily high temperatures in st.louis were as follows: 93, 94, 93, 95, 96, 88 and 90. i. calculate the mean absolute deviation based on a 2-day moving average. ii. compute the mean squared error for the 2-day moving average. iii. calculate the mean absolute percent error fort he 2-day moving average.
Scenario 3: Kohl’s Department Store has experienced steady growth in every department over the past decade. Sales and market share continue to grow but Kohl’s wants to know the level of customer satisfaction among its existing target market. In addition, the company would like to know how to continue to expand sales over the upcoming decade and would like to know how they could better serve customers within their stores and online. Using any form of a Likert scale, create a questionnaire with a minimum of 10 questions that Kohl’s current customers could answer:
Step 1 of 4: Determine the three-period moving average for the next time period. If necessary, round your answer to one decimal place. Step 2 of 4: Determine the three-period weighted moving average for the next time period with weights of 33 (most recent), 22 (second latest time period), and 11 (oldest time period). If necessary, round your answer to one decimal place. Step 3 of 4: Determine the exponential smoothing forecast for the next time period using a smoothing constant of 0.500.50. If necessary, round your answer to one decimal place. Step 4 of 4: Which forecasting method is best and why?
Naïve method versus three period Moving Average The number of major plumbing repair jobs performed by Augur’s Plumbing Service in each of the last six months is listed below. Month Jobs October 92 November 94 December 98 January 95 February 99 March 104 Use the ‘textbook’ naïve method to forecast April jobs (Ft+1 = Xt + (Xt – Xt-1). Use the three- period moving average to forecast jobs in April Based upon the MAD (mean absolute deviation), determine whether the three-period moving average or textbook naïve method is more accurate, based upon forecasts for January through March.
Which one of the methods is most accurate (Exponential smoothing or 3 month moving average) based on MAD ?
A manufacturing firm has developed a skills test, the scores from which can be used to predict workers’ production rating factors. Data on the test scores of various workers and their subsequent production ratings are shown.a. Using POM for Windows’ least squares-linear regression module, develop a relationship to forecast production ratings from test scores.b. If a worker’s test score was 80, what would be your forecast of the worker’s production rating?c. Comment on the strength of the relationship between the test scores and production ratings.
Hawaiian resort is one of the largest entertainment groups and makes a major contribution through its role in tourism, employment, training, and its corporate responsibility programs. They own a chain of business with a greater focus on the customers. With the increasing number of customers worldwide the organization has significantly contributed in terms of economy, employment and community support. Assuming that the business group has been able to do this with the help of a CRM, answer the following question: How did the organization manage to collect and analyse data about their different customer groups?
Canton Supplies, Inc., is a service firm that employs approximately 100 people. Because of the necessity of meeting monthly cash obligations, the chief financial officer wants to develop a forecast of monthly cash requirements. Because of a recent change in equipment and operating policy, only the past seven months of data are considered relevant. The change in operations has had a great impact on cash flow. What forecasting model do you recommend? Use the Moving Average and Exponential Smoothing Excel templates or other Excel tools to help you answer this question. Cash Required Cash Required Month ($1,000) Month ($1,000) 1 186 5 233 2 219 6 241 3 216 7 204 4 270 Find the best number of months to use in a moving average forecast based on MSE. Do not round intermediate calculations. Round your answers to two decimal places. Number of months MSE 2 3 4 The model is the best. Find the best single exponential smoothing model by…
P7-What type of data could be used to monitor the performance of a restaurant such as McDonald's P8-What measures or actions would be used to improve the consistent quality and speed of preparing fast food for customers