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Questions & Answers

Q: Do you have a G/G/n model? Can your M/M/n model be expanded to say 1000 service points?

A: The maximum number of service points handled is 100, it can not be extended. Only a M/M/s queuing structure is modeled assuming an exponential distribution for both arrival and service. Full details and help at .

Question and Answer Item 2058532 - Browse All Question and Answer Items

Q: Downloaded the excel verison of Queuing Model for evaluation. I cannot open the file as it requires a password. Is there a way I can eval the product or do I need to puchase?

A: You should be able to open and extract the excel file from the download file. Then open the Excel file. In the Excel file input cells (blue) are not protected and are the only cells that should be changed for the software to function correctly. All input is via unprotected input cells, protected cells contain formula and should not be changed. The software is fully functional and the protection is in place to ensure the software formula and code is not corrupted. Please refer to the instructions sheet for details. If you continue to have difficulty please let me know exactly what you are doing and I can assist further.

Question and Answer Item 2058294 - Browse All Question and Answer Items

Q: I was wondering if there is a possibility to have a customized version, or at least be able to set some of the other variables. I am looking to determine how many service points are needed (based on a single queue/multiple service points model) that meet the following KPI baseline - Average Waiting Time: 10 minutes - Zero Occurences where customers wait for more than 30 minutes - 95% of all customers are served in less than 15 minutes I also would like to maximize the utilization of the service points.

A: The other "variables" are all calculations based on the inputs provided so they are not really variables at all. If the model was redesigned the inputs could be swapped for some of the calculations ie input average waiting time etc however this would be a substantial rework and it would probably be best to simply develop a queuing formula structure to suit your specific needs. You could achieve a similar result by adjusting current variables ie manually change the Number of Service points to find the best Average Waiting time required (as service points are integers the actual waiting time possibilities may never closely approach your required value). The zero occurrences and 95% requirements do not fit within standard formulation theory (more thought required). Maximising utilisation can be calculated by simply setting the Cost of Waiting to 0, this will usually result in a decrease in Service Points but an unacceptable Customer Waiting time. If you wanted to explore the model functionality we do offer Commercial licenses providing an unprotected software version allowing you to to view the formula applied, access cell contents to enhance your knowledge of software operation (macros remain protected) and undertake minor refinements (ie headings etc). In this format application sheets are unprotected, the workbook itself and the Terms and Conditions and Instructions sheets remain protected to maintain licencing and intellectual property rights notification. You can upgrade from a Non-Commercial license to a Commercial license at . To access the source code of our software including the visual basic code (macros) a Source License is required. This license allows you to modify and adapt all components of the software to meet your specific needs. Source licensing fees are 3 times Commercial licensing fees. Source Code License details are available at . Please note that Bizpep retain full copyright and intellectual property rights at all times. Hope this helps.

Question and Answer Item 2058251 - Browse All Question and Answer Items

Q: Still on the Queuing Model, during my 7 days evaluation I notice that sometimes the value of Average Waiting Time per Customer turns out to be negative. What does the negative values means? How about positive values?

A: A negative Average Waiting Time per Customer indicates that the Arrival rate exceeds the Capacity of the service ie you need more service points. If the Average Customer Arrival Rate is greater than the Service Rate Capacity per Service Pt * the Number of Service Points then even without allowing for arrival distribution the Service Capacity is too low. When the Service Capacity is able to manage the Customer Arrival rate the Average Waiting Time per Customer is positive and this is how long on average a customer will wait for service.

Question and Answer Item 10996 - Browse All Question and Answer Items

Q: I recently purchased the Queuing excel model and I have a question about additional functionality. The queuing input tab has a row that shows the "Probability of having No customers in que". I want to know if I can use this tool to determine the probability of having customers (a specific number of customers - eg, 1, 2, 3, etc...) in que. Please let me know if and how I can use this tool to determine those probabilities.

A: The model does not calculate the probability of a specific number of customers in a que but form the Probability of No Customers you can calculate the Probability of having X Customers using the formula Probability of X customers = (1 - Probability of No Customers) to the power X * Probability of No Customers In Excel the formula is Probability of X customers = POWER( 1 - Probability of No Customers, X) * Probability of No Customers Hope that helps.

Question and Answer Item 10926 - Browse All Question and Answer Items

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