Appendix 12.1: Using QM for Windows

For all these problems, from the Module menu, select Waiting Lines and then select New to enter a new problem. Then select the type of model you want to use from the ones that appear.

This appendix illustrates the ease of use of QM for Windows in solving queuing problems. Program 12.5 represents the Arnold’s Muffler Shop analysis with two servers. The only required inputs are selection of the proper model, a title, whether to include costs, the time units being used for arrival and service rates (hours in this example), the arrival rate (2 cars per hour), the service rate (3 cars per hour), and the number of servers (2). Because the time units are specified as hours, W and Wq are given in hours, but they are also converted into minutes and seconds, as seen in Program 12.5.

Program 12.6 reflects a constant service time model, illustrated in the chapter by Garcia-Golding Recycling, Inc. The other queuing models can also be solved by QM for Windows, which additionally provides cost/economic analysis.

A screenshot of a window illustrates the using of QM for Windows to Solve a Multichannel Queuing Model.

Program 12.5 Using QM for Windows to Solve a Multichannel Queuing Model (Arnold Muffler Shop Data)

A screenshot of a window illustrates the using of QM for Windows to Solve a Constant Service Time Model.

Program 12.6 Using QM for Windows to Solve a Constant Service Time Model (Garcia-Golding Data)

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