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日期：2022-09-08 08:29

Assessed Coursework for the degree of MA/MSc

Business Analytics and Decision Science

100% Assignment

This assignment contains two parts which are both equally weighted:

Part 1 (50% marks – 1,500 words maximum):

As a consultant for a major international car manufacturing company, you have been asked to help

decide on which prototype technology to develop for a new car powertrain. You have been

approached by the car company to help model the decision using the Analytic Hierarchy Process (AHP)

and TOPSIS based on five criteria; development cost, expected carbon emissions, engine efficiency,

car acceleration, and the maximum speed in miles per hour. There are four alternatives of powertrain

technology: electric, hydrogen, hybrid, and petrol.

Alternatives

Electric Hydrogen Hybrid Petrol

C

ri

te

ri

a

Engine Efficiency ** *** *** *****

Acceleration ***** ***** *** ***

Top Speed (MPH) 160 140 210 210

Development Cost

(Million GBP)

100 120 50 10

Carbon Emissions Very Good Very Good Ok Bad

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Using this information model this decision using AHP and TOPSIS. You will have to make assumptions

based on the information provided to create the decision tables for AHP and TOPSIS. Your report has

two objectives:

1. Summarise the data used and outputs for the AHP and TOPSIS analyses, including your

workings in a single Excel file.

2. Respond to the car company on how to proceed with their decision. Provide justification for

your response using your analyses.

Your (1,500 word maximum) report should use tables and figures as appropriate as well as text to

present your findings. In addition to the report, you must submit all your workings/calculations in a

single Excel file. This Excel file must contain no annotations, all written work should be in the report.

No appendices are required, and any material provided in appendices will not contribute to the final

mark. This section will be marked using the following marking scheme:

Success Criteria Weighting

General

Presentation

Use of tables and graphics

Introduction

AHP and TOPSIS analyses

Identifying and summarising the data used

Providing and describing the outputs of the analyses

Response to Company

Summary of the way forward for the company

Technical details on how you came to give this advice

Note: Presentation includes structure/format of the report, clarity of expression, grammar, and

spelling. Your report will be rated on each success criterion using a six-point scale from 0 (very poor)

to 5 (excellent). The overall mark will be a weighted average of the ratings.

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Part 2 (50% marks - 1,500 words maximum):

A computer part retailer has approached you to find an innovative way of recommending central

processing unit (CPU). They have provided you with data on 74 different CPUs which have the

following columns (Q2Data.csv):

Name: CPU’s Name

Core Count: Number of Processor Cores

Core Clock: Base Speed of Processor Cores

Boost Clock: Boost Speed of Processor Cores

TDP: Thermal design power (watts)

Integrated Graphics: Does it have integrated graphics? (Yes/No)

Simultaneous multithreading: Does it have ability to do simultaneous multithreading?

Price: The price of the CPU

The retailer has asked you to group the 74 processors into unique clusters that can be recommended

to customers based on the attributes provided. The company will use the cluster information for

marketing similar CPUs to their customers. They are also missing a price for some of the CPUs. Identify

the missing values, use imputation to replace the missing values and then a suitable clustering

algorithm to cluster the CPUs.

Your report has two objectives:

1. Show how you can use imputation to replace the missing values and then evaluate the

imputed values.

2. Utilise a suitable clustering algorithm to cluster the CPUs. Provide and explain the

information in a dendrogram.

Your (1,500 word maximum) report should use tables and figures as appropriate as well as text to

present your findings. No appendices are required, and any material provided in appendices will not

contribute to the final mark. This section will be marked using the following marking scheme:

Note: Presentation includes structure/format of the report, clarity of expression, grammar and

spelling. Your report will be rated on each success criterion using a six-point scale from 0 (very poor)

to 5 (excellent). The overall mark will be a weighted average of the ratings.

Assignments should be a maximum of 3,000 words in length.

All coursework assignments that contribute to the assessment of a module are subject to a

word limit, as specified in the online module handbook in the relevant module area of the

MINERVA. The word limit is an extremely important aspect of good academic

practice, and must be adhered to. Unless stated specifically otherwise in the relevant

module handbook, the word count includes EVERYTHING (i.e. all text in the main body of

the assignment including summaries, subtitles, contents pages, tables, supportive material

whether in footnotes or in-text references) except the main title, reference list and/or

bibliography and any appendices. It is not acceptable to present matters of substance,

which should be included in the main body of the text, in the appendices (“appendix abuse”).

It is not acceptable to attempt to hide words in graphs and diagrams; only text which is

strictly necessary should be included in graphs and diagrams.

You are required to adhere to the word limit specified and state an accurate word count on

the cover page of your assignment brief. Your declared word count must be accurate, and

should not mislead. Making a fraudulent statement concerning the work submitted for

assessment could be considered academic malpractice and investigated as such. If the

amount of work submitted is higher than that specified by the word limit or that declared on

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your word count, this may be reflected in the mark awarded and noted through individual

feedback given to you.

The deadline date for this assignment is 12:00:00 noon on Monday 12th September

2022

An electronic copy of the assignment must be submitted to the Assignment Submission area

within the module resource on the Blackboard MINERVA website no later than 12 noon on the

deadline date.

Failure to meet this initial deadline will result in a reduction of marks, details of which can be

found at the following place:

https://lubswww.leeds.ac.uk/TSG/coursework/

SUBMISSION

Please ensure that you leave sufficient time to complete the online submission process, as

upload times can vary. Accessing the submission link before the deadline does NOT

constitute completion of submission. You MUST click the ‘CONFIRM’ button before 12 noon

for your assignment to be classed as submitted on time, if not you will need to submit to the

Late Area and your assignment will be marked as late. It is your responsibility to ensure you

upload the correct file to the MINERVA, and that it has uploaded successfully.

It is important that any file submitted follows the conventions stated below:

FILE NAME

The name of the file that you upload must be your student ID only.

ASSIGNMENT TITLE

During the submission process the system will ask you to enter the title of your submission.

This should also be your student ID only.

FRONT COVER

The first page of your assignment should always be the Assessed Coursework Coversheet

(individual), which is available to download from the following location:

http://lubswww.leeds.ac.uk/TSG/index.php?id=27

STUDENT NAME

You should NOT include your name anywhere on your assignment