# Queuing Analysis/Logistics Challenges, Logistics Supply Chain Management Course Module 4 Case assignment

Here is Background and Case information for module 4:

# Module 4 – Background

## Queuing Analysis/Logistics Challenges

### Virtual World

EBBD EMAIL – for Internal Use Only

To: You

From: Danny Wilco <dwilco@ebbd.com>

You
asked for the specific details regarding the delivery process at the
receiving dock. Since you’ve been busy at your other jobs, I had this
information determined for you.

• Receiving dock open from 7am to 3pm, 8 hours, or 480 minutes.
• The average number of arrivals on any given day is 28, which is 3.5 arrivals per hour, average.
• The data we have collected indicate that we can unload 4.2 trucks per hour.

This
problem. I will get back to you with your specific assignment shortly.

~DW, VP LogOps.

### Learning Wizard

Case 4 Resources

Queuing
systems are “stochastic”, which means based on random variables. The
arrival rate of the customers is random but is theorized to follow a
specific probability function. The key to analyzing queues is using the
theory and equations that allow you to determine the probabilities

This website provides a good general overview of Queuing and waiting lines in business.

PART 2: http://youtu.be/NQdt2ldymaM

There are two Tabs – the first is for Single Server models, and the
second is for Multi-Server models. You enter the relevant information of
a queuing problem and it will calculate the pertinent results. The
values shown in this worksheet when you open it are the Phlebotomy
Examples in the PowerPoint.

You can use the QueueCalc spreadsheet to try all of the examples and exercises in the PowerPoint.

Once
you have mastered the examples and exercises you should be ready to
tackle the EBBD problem. You can use the QueueCalc for the EBBD problem
in the Case.

# Module 4 – Case

## Queuing Analysis/Logistics Challenges

### Virtual World

EBBD EMAIL – for Internal Use Only

To: You

From: Danny Wilco <dwilco@ebbd.com>

OK,
here’s what I want to know: how often do we have more than 5 trucks,
more than 6 trucks, and more than 7 trucks. What is the highest number
of trucks we may have in the system with a 95% probability? And then,
assuming the arrival rate of the deliveries does not change, what does
the unload rate need to be so that we can service up to five trucks 95%
of the time? In other words if we want a 95% probability of 5 or fewer
trucks in the system at any one time, what does the unloading (service)
rate need to be? Then, consider that we have two unloading teams, each
need to be for each team in order to ensure (100%) 5 or fewer trucks in
the system at any time? I know we don’t have room for two unloading
teams at this time, but there is a possibility we might make room in the
future.

Analyze this situation and determine what we need to know
and give me report. At this point in time, I am looking only for the
problem to be quantified and the unload rate determined for the current
situation (single server) and possible two servers.

Let me know if you have any questions.

~DW, VP LogOps.

### Learning Wizard

If
you have mastered the examples and exercises provided in the Background
from the Queuing PowerPoint, you are ready to tackle the EBBD problem.

The
current situation is a Single Server situation. Enter the arrival rate
and service rate to calculate the pertinent queuing system state data.
Find out the probabilities of 5 or more trucks in the system, then 6,
then 7. Then use trial and error to find the greatest number of trucks
or less that can be in the system with 95% (or as close to 95%).

For the Multi-server problem you will need to use a similar process.

Record the results of your calculations and save the Excel file.

Upload the Report to Case 4. Upload the Excel file with the solution to Additional Files in Module 4.

### Assignment Expectations of the written report – write the report to your boss, Danny Wilco.

• Problem situation: clearly elucidate the problem situation at EBBD
• Assumptions: what are the assumptions that need to be made and your critical evaluation
• Solution:
discuss how you developed the Solver solution. Keep in mind that your
audience is not too technical and do not need a lot of detail on this.
• Make sure you attach the Excel file.
• You should refer to the Excel file when necessary.
• Explanation: clear articulation of the results that you obtain, based on what Mr. Wilco is asking for.
• Conclusion:
Even though Mr. Wilco is not asking for a conclusion, you should
determine if there is a conclusion to this situation and elucidate what
it is.
• Writing style & Organization: well-formed sentences
and paragraphs, well organized with flow of reason, and good use of
language that pertain to concepts and terminology
• Use of
references & citations: If you use references, be sure to include
appropriate use of citations in the paper and reference list (APA is
required).