For this assessment, you need to analyse two case studies and write a report discussing the recommendations to a problem.The purpose of this assignment is to develop your capability in applying your...

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For this assessment, you need to analyse two case studies and write a report discussing the recommendations to a problem.The purpose of this assignment is to develop your capability in applying your skills and knowledge in a real situation. For this assignment, you are required to apply queuing theory and simulation for case study number 1 and to apply decision making techniques for case study number 2.You will need to complete this in two components, and submit Assignment 3 as one zip file in Canvas.• a Word file for the report containing the details of the model, the solution, and the recommendations to the problem;• an Excel file containing the analysed data.


School of Engineering — MANU2469 Performance Management Foundations Assessment 3: Case Study Report Assessment Type: Report Word limit: 3000 (+/– 10%) Due date: Thursday of Week 7, 23:59 Melbourne time Weighting: 40% Overview For this assessment, you need to analyse two case studies and write a report discussing the recommendations to a problem. The purpose of this assignment is to develop your capability in applying your skills and knowledge in a real situation. For this assignment, you are required to apply queuing theory and simulation for case study number 1 and to apply decision making techniques for case study number 2. You will need to complete this in two components, and submit Assignment 2 as one zip file in Canvas. • a Word file for the report containing the details of the model, the solution, and the recommendations to the problem; • an Excel file containing the analysed data. Learning Outcomes This assessment is relevant to the following course learning outcomes: CLO8 Apply theories of mathematics and statistics to consolidate the provided data to an indicative decision support data structure. CLO9 Apply decision making techniques. After completion of this assessment you should be able to: − Conduct a statistical analysis. − Analyse the collected data using Microsoft Excel. − Provide relevant recommendations based on the data analysis − Apply the correct format decision tree and draw it. Page 1 of 5 Assessment details Part 1: Case Study 1 Your tutor will provide you with a set of data from a case study. Analyse the data provided by your tutor by applying what you have learnt in the previous modules. You will need to use the data analysis findings in conjunction with the queuing theory to: − Find the waiting time in the system. − Recommend solutions to reduce the waiting time in the system Part 1 of your report should be 1500 words. Part 2: Case Study 2 Your tutor will provide you with a set of data from a case study. You will need to analyse the data by applying what you have learnt in previous modules. Subsequently, you will need to draw a decision tree diagram and answer all questions regarding the case study. Part 2 of your report should be 1500 words. Suggested Structure of the Report: 1. Executive Summary 2. Table of Content 3. Lift of Figures/Tables 4. Case study 1 o Introduction, identify the problem and choose the topic o Data analysis o Problem o Formulation o Problem solving o Analysis and Discussion o Recommendation 5. Case study 2 o Introduction, identify the problem and choose the topic o Data analysis o Problem o Formulation o Problem solving o Analysis and discussion o Recommendation 6. References 7. Appendix Referencing guidelines Use RMIT Harvard referencing style for this assessment. You must acknowledge all the courses of information you have used in your assessments. Refer to the RMIT Easy Cite referencing tool to see examples and tips on how to reference in the appropriated style. You can also refer to the library referencing page for more tools such as EndNote, referencing tutorials and referencing guides for printing. Submission format You will zip the Word Document and Excel file and upload as one (1) single file via Canvas. Academic integrity and plagiarism Academic integrity is about honest presentation of your academic work. It means acknowledging the work of others while developing your own insights, knowledge and ideas. You should take extreme care that you have: • Acknowledged words, data, diagrams, models, frameworks and/or ideas of others you have quoted (i.e. directly copied), summarised, paraphrased, discussed or mentioned in your assessment through the appropriate referencing methods • Provided a reference list of the publication details so your reader can locate the source if necessary. This includes material taken from Internet sites If you do not acknowledge the sources of your material, you may be accused of plagiarism because you have passed off the work and ideas of another person without appropriate referencing, as if they were your own. RMIT University treats plagiarism as a very serious offence constituting misconduct. Plagiarism covers a variety of inappropriate behaviours, including: • Failure to properly document a source • Copyright material from the internet or databases • Collusion between students For further information on our policies and procedures, please refer to the University website. Assessment declaration When you submit work electronically, you agree to the assessment declaration. Page 3 of 5 https://www.rmit.edu.au/library/study/referencing/referencing-guides-for-printing https://www.lib.rmit.edu.au/easy-cite/ https://www.rmit.edu.au/students/student-essentials/rights-and-responsibilities/academic-integrity https://www.rmit.edu.au/students/student-essentials/assessment-and-exams/assessment/assessment-declaration Assessment Criteria Criteria Ratings Pts HD D C P N Criterion 1 Conduct a statistical analysis The report shows a professional level of statistics calculation and deep understanding of the result. The report shows logical extrapolations statistics calculation from research and analysis. The report shows basic statistics calculation and basic comment on the result but there are some unclear areas. The report inadequately shows statistics calculation and General comment on the result. The report does not, or hardly, shows basic statistics calculation and No comment on the result. 10 to >7.99 7.99 to > 6.99 6.99 to > 5.99 5.99 to > 4.99 4.99 to > 0 10.0 Criterion 2 Analyse data using Microsoft Excel The report shows professional level of using Excel software to analysis the data The report shows using Excel software to analysis the data The report shows basic using Excel software to analysis the data The report inadequately shows using Excel software to analysis the data The report does not, or hardly, show using Excel software to analysis the data 10 to >7.99 7.99 to > 6.99 6.99 to > 5.99 5.99 to > 4.99 4.99 to > 0 10.0 Page 4 of 5 Criterion 3 Provide relevant recommendations Suitable recommendations provided. General recommendations, not beyond the common-sense types of solutions Recommendations based on basic understanding of literature and analysis Recommendations are logical extrapolations from research and analysis No recommendations, ambiguous recommendations, or recommendations not linked to research or analysis 10 to >7.99 7.99 to > 6.99 6.99 to > 5.99 5.99 to > 4.99 4.99 to > 0 10.0 Criterion 4 Apply the correct format decision tree and draw it The report shows a professional level of demonstration of using the right format decision tree and draw it correctly The report shows logical extrapolation using the right format decision tree and draws it correctly. The report shows basic demonstration of using the right format decision tree and draws it correctly. The report inadequately shows demonstration of using the right format decision tree and draws it correctly. The report does not, or hardly, shows demonstration of using the right format decision tree and draw it correctly 10 to >7.99 7.99 to > 6.99 6.99 to > 5.99 5.99 to > 4.99 4.99 to > 0 10.0 Total: 40 pts Page 5 of 5 School of Engineering Overview Learning Outcomes Assessment details Part 1: Case Study 1 Part 2: Case Study 2 Assessment Criteria School of Engineering Assessment 3: Case studies You need to choose one of the following case studies — Case study 1: Queing Theory “I hope this goes better than last time,” thought Craig Rooney as he thought about having to walk into the city council’s chambers next week. Craig is the assistant chief of police in Newport, VA, and, each September, he has to provide the city council with a report on the effectiveness of the city’s police force. This report immediately precedes the council’s discussion of the police department’s budget. So Craig often feels like a tightrope artist trying to find the right balance in his presentation to both convince the council that the department is being run well and also persuade them to increase the department’s budget for new officers. The city of Newport has a total of 19 police officers assigned to 5 precincts. Currently, precinct A has 3 officers assigned to it while the others each have 4 officers. One of the town council’s primary concerns each year is the amount of time
Answered 4 days AfterAug 11, 2021

Answer To: For this assessment, you need to analyse two case studies and write a report discussing the...

Preeta answered on Aug 15 2021
138 Votes
Executive Summary:
The report has been divided into analysis of two case studies.
Case Study 1: The aim of this part is to identify the problems from the given data set and then to find probable solutions in terms of proposal as per simulation theory with the application of queueing theory on the data set provided. The issue is that time devoted to caller is low. Hiring of new officers can solve the issue. This will help to ensure that both quality as well as quantity is being maintained.
Case Study 2:
The aim of this part is to take a decision based on the problems given and after the analysis of the probable solutions.  The problem is that if the farmer should continue to nurture the crop, the quality of which has already deteriorated or should plow out the crop. the analysis revealed that the main motive should be to reduce the amount of loss for the and that the farmer should continue to nurture the crop.
Case Study 1:
Introduction, identify the problem and choose the topic:
Queueing theory can be referred to as a branch of mathematics that deals with the formation of a line, mechanism of its function and the reason for its malfunction (Allen 2014). This is mainly used at the time of waiting in a line. The theory analyzes each and every component of standing in a queue including the process of arriving, the process of servicing, number of existing servers along with the places at which the system servers exist, the number of callers, etc. The customer can either be data packets or cars or people or any other entity as well as thing. In a lot of businesses organizations, queueing theory is applied in real life. It is used to find out solution for the real-life problems like reduce the burden of traffic, reduce the wait time of the callers to avail services, reduce waiting time at the warehouses, etc.
Simulation theory is a proposal regarding the nature of existence (Wainer and Mosterman 2018). The aim of this part is to identify the problems from the given data set and then to find probable solutions in terms of proposal as per simulation theory with the application of queueing theory on the data set provided.
Data analysis:
Kendal’s notation = (a/b/c):(d/e/f)
Where a = arrival distribution
b = departure distribution
c = number of parallel servers
d = queue discipline
e = maximum number allowed in the system
f = size of the calling source
Now,
λ = Arrival rate
μ = Service rate
As per the problem:
Arrival rate for each of the server is as follows (λ):
A = 1.944
B = 3.994    
C = 4.756    
D = 4.122    
E = 3.756
This rate has been calculated on an hourly basis.
Service rate for each of the server is as follows (μ):
A = 38.29
B = 36.11    
C = 40.97    
D = 41.11    
E = 36.70
This rate has been calculated on an hourly basis.
Now, utilization level (p) = λ/μ
Average number of callers in the system (Ls) = λ/(μ – λ)
Average number of callers in the queue (Lq) = p X Ls
Waiting time for the callers in the system (Ws) = 1/(μ – λ)
Waiting time for the callers in the queue (Wq) = p X Ws
The following table shows the calculation of the formulas mentioned above according to the data set provided.
     
    A
    B
    C
    D
    E
    Utilization factor
    0.051
    0.111
    0.116
    0.100
    0.102
    Average number of callers in the system
    0.053
    0.124
    0.131
    0.111
    0.114
    Average number of callers in the queue
    0.003
    0.014
    0.015
    0.011
    0.012
    Waiting time for the callers in the system
    0.028
    0.031
    0.028
    0.027
    0.030
    Waiting time for the callers in the queue
    0.001
    0.003
    0.003
    0.003
    0.003
All the calculations have been shown in hourly rate.
1. Arrival rate of 911 for each precinct is:
A = 1.944
B = 3.994    
C = 4.756    
D = 4.122    
E = 3.756
Service rate of 911 for each precinct is:
A = 38.29
B = 36.11    
C = 40.97    
D = 41.11    
E = 36.70
2. Yes. The arrival rate of calls for each precinct appear to follow a Poisson distribution.
3. Yes. Service rate for each precinct appear to follow an exponential distribution.
4. Average minutes must a 911 caller in each precinct wait before a police officer begins responding:
A = 1.68 minutes
B = 1.86 minutes
C = 1.68 minutes
D = 1.62 minutes
E = 1.8 minutes
5. Precinct in spite of having of having only three officers has lowest waiting time and so one officer from it can be exchanged with an officer at B precinct since that takes highest amount of time. This will reduce the overall waiting time of both precincts.
6. Average time is already less than 2 minutes. So, if that has to be maintained then no new officer is being required.
Problem:
The problems that can be identified is that the average time for which the customer needs to wait both for system as well as in the queue is very low almost even less than a minute, which arises the question that if the services are being delivered at such a fast rate, then if compromission is being made regarding the quality of the service. There is no data regarding the satisfaction of the callers and the overall quality of the service cannot be assessed. Both quality as well as quantity is to be maintained and reducing the...
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