7ENT1070 Individual AssignmentTopic 8: International Portfolio DiversificationTopic 8: International Portfolio DiversificationTopic 6 Solutions – Economic ExposureENT 101 Introduction to EntrepreneurshipTopic 6 Foreign Exchange Exposure – SolutionsTopic 6 Transaction and Translation ExposureLecture 5: Exchange Rate ExposureTopic 4 Solutions to Foreign Currency Derivatives

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School of Engineering and Computer Science
7ENT1070-REFDEF-CW-2019-20-v1.docx Page 1 of 4
Module Title: Operations Research
Module Code: 7ENT1070
Assignment Title: Referred Deferred Coursework
Individual Assignment
Tutor: Dr Funlade T. Sunmola
Internal Moderator: Dr Amit N. Pujari
If students have circumstances which make then unable to complete or submit
assessments on time, they should complete the new standard SAC form to self-certify.
The student guidance explains how to access the form: through AskHerts
(https://ask.herts.ac.uk/, search for SAC)
Penalties for Late Submissions
• Late submission of any item of coursework for each day or part thereof (or for hard copy
submission only, working day or part thereof) for up to five days after the published
deadline, coursework relating to modules at Levels 0, 4, 5, 6, 7 submitted late (including
deferred coursework, but with the exception of referred coursework), will have the numeric
grade reduced by 10 grade points until or unless the numeric grade reaches or is 40 (50).
Where the numeric grade awarded for the assessment is less than 40, no lateness penalty
will be applied.
• Late submission of referred coursework will automatically be awarded a grade of zero (0).
• Coursework (including deferred coursework) submitted later than five days (five working
days in the case of hard copy submission) after the published deadline will be awarded a
grade of zero (0).
Please refer to your student handbook for details about the grading schemes used by the
School when assessing your work.
Guidance on avoiding academic assessment offences such as plagiarism and collusion is
given at this URL: http://www.studynet.herts.ac.uk/ptl/common/LIS.nsf/lis/citing_menu
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This Assignment assesses the following module Learning Outcomes:
1. Select and apply quantitative modelling concepts for problem solving and decision making.
2. Use classical decision theory as aid to decision making.
3. Acquire a critical awareness of the logical process of modelling complex decision problems.
4. Apply techniques and practice to model real-world problems.
5. Derive solution(s) using a suitable software package when required.
6. Critically analyse and report results.
Assignment Brief:
This individual assignment requires that you answer Questions 1 and 2 below.
1. Linear Programming has been successfully applied in many Operations Research
applications. Therefore, a) describe, with the aid of two self-selected case studies from the
literature, examples where Linear Programming has been applied as a mathematical
technique to help Operations Research managers to plan and make the decision necessary to
allocate resources, and b) discuss limitations of Linear Programming.
2. Dr Wellman Hun is the Operations Director of XYZ-Brains Ltd based in Hertfordshire UK. The
company manufactures smart suitcases and they intend to introduce Radio-frequency
identification (RFID) technology into their manufacturing operations. Wellman has requested
for a simulation of their manufacturing operations to study the impact of RFID solution on their
productivity. You are required to: a) Explain to Dr Wellman Hun the advantages of simulation,
b) Develop a plan for the XYZ-Brains Ltd.’s proposed simulation study, and c) Critically discuss
the proposed plan.
Your technical report must be written in an appropriate format and must contain no more than
3000±10% words including any diagrams, calculations, figures and/or tables where appropriate.
Reports shorter than the word count will not lose marks but will lead to the omission of material
which can gain them. Any words over the suggested word count will not be marked. Do not use
any mechanism, such as embedded jpeg images containing significant text, to circumvent the
word count.
You are expected to provide secondary sources to underpin your work. These must be cited and
referenced according to the Harvard Referencing System. Include the word count in the header of
your report.
Ensure that your technical report is well-structured and choose appropriate number and titles for
the sections of the report please. There is no need to number the references section.
Your technical report must follow the content and guidance above and must include the specific
instructions outlined below.
1. Word-process the report on A4 paper size, using 1.15 line spacing.
2. Font type must be Arial, font size 11.
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3. Ensure that all diagrams (figures) / tables are labelled and numbered.
4. Title Page is NOT required.
5. Table of Contents page is NOT required.
6. Number all pages.
7. Grammar, spelling and style, as well as clarity, contribute towards the assessment of the
report; Use British Spelling i.e. ‘English (UK) Language’.
8. Justify paragraphs – Align text to both left and right margins, using your word processor to add
extra space between words as necessary.
9. Ensure that you focus on the requirements of the assignment brief. Be clear about the marking
scheme stated in the ‘Marks out of 100% awarded for’ section below.
Additional Note on Referencing
Mark is allocated for referencing in this assignment, and the mark is influenced by the
thoroughness and integrity of the work as evidenced by your referencing. Marks are awarded not
only for correct referencing practice, but also the extent to which the arguments have been
supported by cited sources. Related work must be cited and referenced according to the Harvard
Referencing System.
Submission Requirements:
Your technical report must be submitted as a Microsoft Word or PDF file via the assignment
platform on the Canvas module site.
This assignment is worth 40% of the overall assessment for this module.
Marks out of 100% awarded for:
Main Tasks/Allocations Marks
%Knowledge and Understanding of Operations Research in the context of the
questions in this assignment.101. Successful applications of Linear Programming. 35a) Selected case studies, description and analysis. 25b) Limitations of Linear programming. 102. XYZ-Brains Ltd.’s proposed simulation study. 45c) Explain to Dr Wellman Hu the advantages of simulation. 15d) Develop a plan for the XYZ-Brains Ltd.’s proposed simulation study. 20e) Critically discuss the proposed plan. 10Overall Presentation, report structure, effective communication, keeps to
word limit, and use of appropriate referencing system.10Total 100
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A note to the Students:
1. For undergraduate modules, a score above 40% represent a pass performance at
honours level.
2. For postgraduate modules, a score of 50% or above represents a pass mark.
3. Modules may have several components of assessment and may require a pass in all
elements. For further details, please consult the relevant Module Guide or ask the Module
Typical (hours) required by the student(s) to complete the assignment: 10 hours.
Date Work handed out:
Week 47
Tuesday 16 June 2020 10:00
Hours London UK time
Date Work to be handed in:
Week 49:
Monday 29 June 2020 23:59
Hours London UK time
Target Date for the return of
the marked assignment:
Week 52:
Monday 20 July 2020 23:59
Hours London UK time
Type of Feedback to be given for this assignment:
The report will have a percentage mark.

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