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introduction to management science 13th
Introduction To Management Science A Modeling And Case Studies Approach With Spreadsheets 3rd Edition Frederick S. Hillier - Solutions
What is the effect of decreasing the variability of service times (without any change in the mean) on the performance of a single-server queueing system?
What happens to the values of Le and L for the M/M/ model when p is increased well above 0.97
What is the effect of giving a relatively large utilization factor (workload) to the server in a single-server queueing system?
What is the decision of Dupit's top management regarding which of the four proposed approaches will be adopted (except for particularly sparsely populated territories)?
For this application, what is the conclusion about the minimum number of tech reps per terri- tory needed to reduce waiting times for repairs to levels that appear to be satisfactory?
When applying the nonpreemptive priorities queueing model to the Dupit case study, what are the two priority classes?
For these models, which values of the utilization factor p enable the queueing system to reach a steady-state condition for all priority classes?
Except for using nonpreemptive priorities, the assumptions of the nonpreemptive priorities model are the same as for which basic queueing model?
Except for using preemptive priorities, the assumptions of the preemptive priorities model are the same as for which basic queueing model?
What is the difference between nonpreemptive priorities and preemptive priorities?
How does using priorities differ from serving customers on a first-come, first-served basis?
Compare the M/M/s and M/D/s models in terms of the amount of variability in the service times.
How many one-person tech rep territories need to be combined into a larger territory in order to satisfy Dupit's proposed new service standard?
Are there any measures of performance that can be calculated for the M/M/1 model but not the M/M/s model?
Which values of p correspond to the servers having a manageable utilization factor that allows the system to reach a steady-state condition?
For multiple-server queueing models, what is the formula for the utilization factor p? What is the interpretation of p in terms of how servers use their time?
What is the total additional cost of the approach suggested by Dupit's vice president for engineering?
For the M/G/1 model, what is the effect on L, L, W, and W, of decreasing the standard devi- ation of the service-time distribution?
Which service-time distribution is assumed by the M/D/1 model?
How does the M/G/1 model differ from the M/M/ model?
How much more would it cost Dupit to reduce this average waiting time to workday by decreasing the number of machines assigned to each tech rep?
Under Dupit's current policy, what is the average waiting time of customers until service begins on their failed machines?
Which values of p correspond to the server in a single-server queueing system having a man- ageable utilization factor that allows the system to reach a steady-state condition?
For which measures of performance (both expected values and probabilities) are formulas available for the M/M/1 model?
What are the assumptions of the M/M/1 model?
What are represented by the symbols A and ? By 1A and 1/? By p?
In the queueing system interpretation of this problem, what are the customers? The server?
Who now will be analyzing these approaches?
How many alternative approaches have been suggested for dealing with the issue facing top management?
What is the propesed new service standard?
What is the issue currently facing top management?
What is the company's current policy regarding the workload for tech reps?
In the queueing system interpretation of this problem, what are the customers? The server?
Who now will be analyzing these approaches?
How many alternative approaches have been suggested for dealing with the issue facing top management?
What is the propesed new service standard?
What is the issue currently facing top management?
What is the company's current policy regarding the workload for tech reps?
What kinds of probabilities can also be used as measures of performance of queueing systems?
What is the formula that relates L and L?
What is Little's formula that relates Land W? That relates Le and W?
What is the formula that relates W and W?
What is meant by a queueing system being in a steady-state condition?
What are the four basic measures of performance based on expected values? What are their symbols?
Which type of measure of performance tends to be more important for commercial service systems?
Which type of measure of performance of queueing systems tends to be more important when the customers are internal to the organization?
What are transportation service systems? Also give a new example (not included in Table 11.4) of such a system, including identifying the customers and server.
What are internal service systems? Also give a new example (not included in Table 11.3) of such a system, including identifying the customers and server.
What are commercial service systems? Also give a new example (not included in Table 11.2) of such a system, including identifying the customers and server.
What information is provided by the three parts of the label for queueing models?
What are the two most important service-time distributions?
What is the relationship between the mean of the service-time distribution and the mean service rate for a single continuously busy server?
What is the conventional assumption made by most queueing models about the queue capacity? About the queue discipline?
What is the distinction between the number of customers in the queue and the number in the system?
What is meant by customers arriving randomly? Which distribution of interarrival times cor- responds to random arrivals?
How would you characterize the amount of variability in the times given by the exponential distribution?
What is the shape of the exponential distribution?
What is the relationship between the mean arrival rate and the mean of the probability dis- tribution of interarrival times?
What might the server of a queueing system be other than an individual person?
What might the customers of a queueing system be other than people?
Now that you have a relationship between the weekly decentralized case volume and the weekly centralized case volume, you are able to forecast the weekly case vol- ume for the new center. Unfortunately, you do not need the weekly case volume; you need the daily call volume. To calculate call volume
Find a mathematical relationship between the decentralized case volume data and the centralized case volume data.
When might the Delphi method be used?
When is a consumer market survey particularly helpful?
How does the salesforce composite method begin?
How does the jury of executive opinion method differ from the manager's opinion method?
Are judgmental forecasting methods only used when statistical forecasting methods cannot be used?
Statistical forecasting methods cannot be used under what circumstances?
How does the MAD value for CCW's new forecasting procedure compare with that for the old procedure that used the 25 percent rule?
What is the name of the method for obtaining the value of the constants, a andb, for a linear regression line?
What is the form of the equation for a linear regression line with a single independent vari- able? With more than one independent variable?
When doing causal forecasting with a single independent variable, what does linear regression involve?
When applying causal forecasting to the CCW problem, what is the dependent variable and what is the independent variable?
What is causal forecasting?
What are the major components of CCW's total sales?
What is the consultant's recommendation regarding what should be forecasted instead of call volumes to begin the forecasting process?
What is the distinction between a stable time series and an unstable time series?
What is the explanation for why the average forecasting errors were higher for the other time- series forecasting methods than for the supposedly less powerful last-value method?
Is the probability distribution of CCW's average daily call volume the same for every quarter?
What is the goal of time-series forecasting methods?
What kind of variable is the next value that will occur in a time series?
What does the marketing manager say is the one big factor that drives CCW's total sales up or down?
What is the formula for obtaining the next forecast with exponential smoothing? What is added to this formula when using exponential smoothing with trend?
With exponential smoothing, when is a small value of the smoothing constant appropriate? A larger value?
How does the exponential smoothing forecasting method modify the moving-average fore- casting method?
What is the rationale for replacing the averaging forecasting method by the moving-average forecasting method?
Why did the averaging forecasting method not perform very well on the case study?
Why is the last-value forecasting method sometimes called the naive method?
What is the formula for calculating the forecast of the actual call volume from the seasonal factor and the seasonally adjusted forecast?
What is the formula for calculating the seasonally adjusted call volume from the actual cali volume and the seasonal factor?
What does a seasonal factor measure?
What is a time series?
What is MSE?
What is MAD?
What is CCW's 25 percent rule?
Who is the call center manager? What is her current major frustration?
What are the consequences of not having enough agents on duty in the CCW call center? Of having too many?
How does the Computer Club Warehouse (CCW) operate?
What are the two main measures of the accuracy of a forecasting method?
How does the linear regression forecasting method obtain forecasts?
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