Question

In Model 3-1, suppose that instead of having a single source of parts, there are three sources of arrival, one for each of three different kinds of parts that arrive: blue (as before), Green, and Red. For each color of arriving part, inter-arrival times are exponentially distributed with a mean of 16 minutes. Run the simulation for 480 minutes, and compute the same performance measures as for Model 3-1. Once the parts are in the system, they retain their correct color (for the animation) but are not differentiated for collection of statistics on time in queue, queue length, or utilization (that is, they're lumped together for purposes of processing and statistics collection on these output performance measures): however, collect statistics separately by part color for total time in system. Processing times at the drilling center are the same as in Model 3-1 and are the same regardless of the color of the part. Make just a single replication. Put a text box in your Arena file with the values for the output performance measures mentioned (average time in queue for all part types together, average queue length for all part types together, server utilization for all part types together, and three average time-in-system results, one for each part type separately). Please include entity type, value, units etc. of each process.

Answer #1

I am asking how we can model that question detailly in Arena.
All information is below. There is similiar question and answers in
chegg, but these answers are not enough to model in Arena.
Two different part types arrive at a facility for processing.
Parts of Type 1 arrive with interarrival times following a
lognormal distribution with a log mean of 11.5 hours and log
standard deviation of 2.0 hours (note that these values are the
mean and standard deviation...

1.1 (M/M/1) model - use the qtsPlus or other software to answer
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Consider a manufacturing cell in company ABC that repairs
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single queue to be processed on a first-come-first-serve basis by
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Assume that the simulation begins at time 0 with a computer
(Computer #1) already being processed (scheduled to be complete in
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(with a process time of...

Suppose that the customers arrive at a hamburger stand at an
average rate of 49 per hour, and the arrivals follow a Poisson
distribution. Joe, the stand owner, works alone and takes an
average of 0.857 minutes to serve one customer. Assume that the
service time is exponentially distributed.
a) What is the average number of people waiting in queue and in
the system? (2 points)
b) What is the average time that a customer spends waiting in
the queue...

Suppose that the customers arrive at a hamburger stand at an
average rate of 49 per hour, and the arrivals follow a Poisson
distribution. Joe, the stand owner, works alone and takes an
average of 0.857 minutes to serve one customer. Assume that the
service time is exponentially distributed.
a) What is the average number of people waiting in queue and in
the system? (2 points)
b) What is the average time that a customer spends waiting in
the queue...

(M/M/c) model - use the qtsPlus or other software to answer the
questions. Now, you decided to hire one more cashier, so the store
has two cashiers. Customers arrive at the cashier counter according
to a Poisson process, which is same as the question 1. The arrival
rate is 18 customers per an hour. Customers are served in order of
arrival (FCFS: first come first service). The service time (i.e.
the time needed for scanning and paying) is exponentially
distributed....

1) A queuing model that follows the M/M/1 (single channel)
assumptions has λ = 10 per hour and μ = 2.5 minutes. What is the
average time in the system (in minutes)? Group of answer choices:
.41 minutes .5 minutes 25 minutes 1.78 minutes 4.29 minutes
2)
A waiting-line system that meets the assumptions of M/M/S
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approximately 0.2, and...

Items arrive from an inventory-picking system according to an
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1-Write 3 arguments that utilize at least 5 parts of the Toulmin
Model of Argumentation. The arguments can be ones that you're going
to use in your Thesis paper, or something random. But all three
should work together as a cohesive case for or against
something.
2. Label each part of the argument accordingly.
3. Craft one of your three arguments using a logical fallacy. Do
not tell us which one is the fallacious one.

Consider a packaging/warehousing process with the following
steps:
1. The product is filled and sealed.
2. Sealed units are placed into boxes and stickers are placed on
the boxes.
3. Boxes are transported to the warehouse to fulfill customer
demand.
These steps can be combined into a single processing time, as
depicted in the system schematic.
The system is subject to the following assumptions:
1. There is always sufficient raw material for the process never
to starve.
2. Processing is...

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