1. Statistical process control, hypothesis testing, and control chartsConsumers value prompt service when they order takeout or delivered pizza, and pizza restaurants compete for customers by making time promises.Papa John's, for instance, offers a 10-minute takeout guarantee. Domino's advertises a 30-minute delivery time.Suppose that the quality control manager at a nationwide pizza chain defines this production variable: An order is processed on time or late. Everynight, a random sample of pizza orders is selected, and data are collected on the production variable for each order in the sample.To detect a change in the number of orders that are late, the quality control manager usesBased on the control chart, the quality control manager decides that the variation in output is due to assignable causes. Consequently, the managerconcludes that the production process is; it isStatistical procedures for process control use a hypothesis-testing framework. The null and alternative hypotheses are the states of the productionprocess, and the decision to continue or to adjust the production process is based on sample data.If the null hypothesis is true, the quality control manager has made a

Process control can be defined as a process of monitoring a process and controlling it with an aim…

Answered: 1. Statistical process control,…

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.
Which one of the following methods eliminates short term and random fluctuations in a time series? a. Moving Average b. Semi-Average c. Neither moving average nor semi average d. Both moving average and semi-average
1.The reported unemployment is 5.5% of the population. What measurement scale is used to measure unemployment? Interval Nominal Ordinal Ratio 2.Which one of the following is NOT an example of discrete data? Number of employees reporting in sick Number of households watching the Home Shopping Network Number of miles between New York City and Chicago Number of members of the Denver Lions Club
Kathleen McFadden's restaurant in Boston has recorded the following data for eight recent customers: a) McFadden wants you to graph the eight points (x;, y1), i = I, J 2, ... 8. She has been concerned because customers have been waiting too long for their food, and this graph is intended to help her find possible causes of the problem.b) This is an example of what type of graph?
Mr. Ferdinand is a well known entrepreneur who sells fresh organic beef to persons in the localcommunity. Customers love the quality of meet that Mr. Ferdinand sells so they tend torecommend his product to other persons. Recently, Mr. Ferdinand has been running out of beefto sell to his customers. One customer suggests to him that he must use past sales records toforecast demand for his beef so that he can meet his customers demand.I. Using a numerical example, demonstrate to Mr. Ferdinand how he can use a threeweek and a four-week weighted moving average to forecast demand for his beef.II. Show how Mr. Ferdinand can test the accuracy of his forecast. III. Explain to Mr. Ferdinand two ways in which he can benefit from doing forecast forhis beef.
Mr. Ferdinand is a well known entrepreneur who sells fresh organic beef to persons in the localcommunity. Customers love the quality of meet that Mr. Ferdinand sells so they tend torecommend his product to other persons. Recently, Mr. Ferdinand has been running out of beefto sell to his customers. One customer suggests to him that he must use past sales records toforecast demand for his beef so that he can meet his customers demand. I. Using a numerical example, demonstrate to Mr. Ferdinand how he can use a three week and a four-week weighted moving average to forecast demand for his beef.II. Show how Mr. Ferdinand can test the accuracy of his forecast. III. Explain to Mr. Ferdinand two ways in which he can benefit from doing forecast forhis beef.
b. The mean absolute deviation as of the end of week 10 is___ rentals enter your response here. (Enter your response rounded to two decimal places.)
Mr. Ferdinand is a well known entrepreneur who sells fresh organic beef to persons in the localcommunity. Customers love the quality of meet that Mr. Ferdinand sells so they tend torecommend his product to other persons. Recently, Mr. Ferdinand has been running out of beefto sell to his customers. One customer suggests to him that he must use past sales records toforecast demand for his beef so that he can meet his customers demand. 1. Using a numerical example, demonstrate to Mr. Ferdinand how he can use a three-week and a four-week weighted moving average to forecast demand for his beef.
Describe how you would randomise observations and why it is important that the service user is unable to predict when you will observe them.
A student group on a college campus wanted to create a survey about parking availability on campus. The student group randomly selected 300 students to take the survey. One of the questions read, “Many students believe the lack of available parking is a major problem. Do you agree or disagree?” Of the 300 students that took the survey, 285 surveys were returned. This survey will most likely suffer from which of the following types of bias? There is no bias in the way this survey is carried out. Response bias Selection bias Non-response bias
Deborah Hollwager, a concessionaire for the Amway cener in Orlando has developed a table of conditional values for the various altenatives(stocking decision) and state of nature (size of crowd) Alternatives large average small large inventory $20,000 $10,000 -$2,000 average inventory $12,000 $12,000 $8000 small inventory $10,000 $6,000 $5,000 probabilities associated with the states of nature are 0.35 for a large crowd, 0.50 for an average crowd, and 0.15 for a small crowd. a) The alternative that provides Deborah the greatest expected monetary value (EMv) is the EMV for this decision is $________ b) For Deborah, the expected value of the perfect information (EVPI)=$______
Bill Kime's bowling ball factory makes bowling balls of adult size and weight only. The standard deviation in the weight of a bowling ball produced at the factory is known to be 0.39 pounds. Each day for 24 days, the average weight, in pounds, of 9 of the bowling balls produced that day has been assessed as follows Day 1 2 3 4 5 6 Average (lb) 9.9 9.9 10.1 10.1 99 99 Day 7 8 9 10 11 12 Average (lb) Day Average (b) 13 14 15 16 17 18 10.1 10.0 10.0 10.1 10.1 10.0 9.9 10.1 10.1 10.0 10.1 10.1 Day 19 20 21 22 23 24 Average (lb) 99 10.0 10.1 9.9 10.0 10.0 a) Establish a control chart for monitoring the average weights of the bowling balls in which the upper and lower control limits are each two standard deviations from the mean What are the values of the control limits? Upper Control Limit (UCL)=b (Round your response to two decimal places)

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