首页 > > 详细

讲解 32181 Decision Making and Control讲解 Python编程

Assignment/Coursework Remit

Programme Title BSc Accounting & Finance, BSc Money Banking & Finance

Module Title Decision Making and Control

Module Code 32181

Assignment Title Supplementary Individual Coursework Assignment

Level LC

Weighting 40%

Hand Out Date 8 th July 2024

Deadline Date & Time 8th August 2024                      12pm

Feedback Post Date TBC

Assignment Format Essay

Assignment Length 1750 words

Submission Format Online                           Team

Assignment:

Detail of the tasks that students are expected to complete as part of the assignment remit.

Module Learning Outcomes:

In this assessment the following learning outcomes will be covered :

LO 1. Explain the main concepts of management accounting and business analytics and the context in which they operate

LO 3. Apply the basic concepts, techniques and practices of business analytics and management accounting, to solve structured problems in managing organisations

LO 5. Discuss the use of management accounting and other information in organisational management and the strengths of varying approaches

LO 6. Assess the potential of analytic techniques in addressing business issues LO 7. Identify and apply a range of analytical techniques to business cases

Grading Criteria:

Grading criteria must be included, ideally a marking rubric should be attached at the end.

Feedback to Students:

Both Summative and Formative feedback is given to encourage students to reflect on their learning that feed forward into following assessment tasks. The preparation for all

assessment tasks will be supported by formative feedback within the tutorials/seminars.    Written feedback is provided as appropriate.  Please be aware to use the browser and not the Canvas App as you may not be able to view all comments.

Plagiarism:

It is your responsibility to ensure that you understand correct referencing practices. You are expected to use appropriate references and keep carefully detailed notes of all your information sources, including any material downloaded from the Internet. It is your responsibility to ensure that you are not vulnerable to any alleged breaches of the assessment regulations. More information is available at

https://intranet.birmingham.ac.uk/as/registry/policy/conduct/plagiarism/index.aspx .

Use of Generative AI:

Unless explicitly stated otherwise, students should assume that the use of generative AI

within an assessment or assignment is not permitted.  Any assessment submitted that is not a student’s own work, including that written by generative AI tools, are in breach of the

University’s Code of Practice on Academic Integrity

(https://intranet.birmingham.ac.uk/as/registry/policy/conduct/plagiarism/index.aspx

Wellbeing Extenuating Circumstances:

The process for Extenuating Circumstances is to support students who have experienced

unforeseen issues that have impacted their ability to engage with their studies and/or

complete assessments. Students should notify Wellbeing of any extenuating circumstances as soon as possible via the online form, following the guidance provided.

https://intranet.birmingham.ac.uk/social-sciences/college-services/wellbeing/index.aspx

Decision Making and Control 2023-24

07 31281

Supplementary Individual Coursework Assignment (40%)

Mangrove Ltd is a toy company based in the UK for which the demand is influenced  by changes in technology. Therefore, the company continually reviews the product lifecycles to survive in the competitive  environment  that it operates. The   production manager  has designed the manufacturing facilities in such away that it is able to produce all products on the same equipment and use the same multi-skilled workforce. Management estimate that the annual production capacity of the company is equivalent to a turnover value of £30m.

The turnover figures (actual and forecast) are shown below for each of products: ToyA, Toy B and Toy C from the beginning of the life cycle of each product up to 2023, which are the only products for which Mangrove Ltd has sales for the years 2018-2026 (actual or forecast). There are no other plans to introduce other product lines at this stage.

Sales Revenue (£million) – actual (A) or forecast (F)

Product 2018 A        2019 A         2020 A       2021 A     2022 A   2023 A    2024 F     2025 F    2026 F

Toy A 3.0              6.0               9.0            10.5         6.75         4.5        3.0         2.25         nil

Toy B nil                nil                4.5             9.0          12.0       13.5       4.5           1.5         nil

Toy C nil                  nil                nil             6.0           7.5        9.75      11.25        12.0       10.5

Sales Volume in Units (‘000) – actual (A) or forecast (F)

Product 2018 A       2019 A        2020 A        2021 A         2022 A          2023 A       2024 F        2025 F         2026 F

Toy A 150            240             300             300              270              225            200             150              nil

Toy B nil              nil              125             160              240              300            180              96               nil

Toy C nil              nil               nil              400              600              780           1000            1200           1000

Other relevant actual and forecasted information relating to the products for the years 2018-2026 areas follows:

1.   Profit-volume ratios for each product are expected to be: Toy A (70%); Toy B (75%) and Toy C (60%).

2.   The company’s general fixed costs per year are £3.75m, which are equally

distributed to each toy. In addition, product specific fixed costs are estimated as follows:

2018 £m

2019 £m

2020 £m

2021 £m

2022 to 2026 £m

Toy A

1.8

1.8

1.8

1.8

2.0

Toy B

-

-

2.0

4.0

4.0

Toy C

-

-

-

3.2

3.2

Current Retail Price for Similar Equivalent Product in the UK Toy Market (£)

Product/Brand

Lego

Yotto

Brio

Lottie

Melissa & Doug

Toy A

19.99

21.50

18.71

-

-

Toy B

44.00

35.99

89.99

69.99

58.17

Toy C

75.00

-

29.90

-

-

Annual Demands of Toys in UK* (million units) - actual (A) or forecast (F)

Product

2018 A

2019 A

2020 A

2021 A

2022 A

2023 A

2024 F

2025 F

2026 F

Toy A

5.76

5.85

6.67

6.72

7.26

7.54

7.78

7.91

8.38

Toy B

2.24

2.36

2.61

2.78

3.26

3.55

3.72

3.91

4.05

Toy C

4.55

4.82

5.13

5.36

5.54

5.71

5.92

6.11

6.28

Note: The annual demand refers to all toy manufacturers in the UK

Required

Write a 1750-word individual essay, addressing the following information:

1.   Use proper data visualisation tools to visualise the following:

1)   Total revenue, total contribution, total profit and total fixed costs for all of Mangrove Ltd’sproducts during 2018-2026.

2)   The life cycle pattern for each of Mangrove Ltd’s products expressed in terms of total contribution (£m) during 2018-2026.

NB: You are expected to a report using proper data visualisation tools, showing the overall trend of total revenue, total contribution, total fixed cost and total profit for each product during 2018-2026. Select the correct chart types for each set of data and produce charts that convey the key messages to managers in a clear and understandable way.

2.   Discuss the different stages in the product lifecycle using the visualization prepared in 1 to assist your answer, identify proper pricing strategies that Mangrove may consider in each stage. Suggest how Mangrove Ltd can attempt to extend the product life cycle for their products.

NB: You are expected to identify different stages in the product lifecycle for each product, use results in the above step to assist your answer. Then, suggest proper pricing strategies that Mangrove may consider in different stages. Notice that a full income statement is not required to reach the contribution and profit for each product, but a table showing any calculative workings  must  be  clearly  shown  in  the  appendix.  You  are  also to  suggest Mangrove Ltd how to possibly extend the lifecycle for each of the product.

3.   Critically  evaluate  the  usefulness  of your analytical approach in analysing  product  life cycle.

NB: Your discussions should cover critical reflections on your data analytics and decision making include, but not limited to, the following points

•   What visualization tools did you use to present your data?

•   Why were they the best ways to communicate this data?

•   Do you think alternative techniques could be used for the same purpose?

•   To what extent is product life cycle a useful decision-making tool?

•   What other information would be useful for information users that have not been covered in your selected data?

4.   This assignment should be in an essay format, including a clear introduction, structured and logical discussion,  summative conclusion and reasonable academic presentation, within the word limit of no more than 1750 words excluding reference list.

5.   Reference should strictly follow Harvard (author-date) referencing system, see below for details:

https://intranet.birmingham.ac.uk/as/libraryservices/library/referencing/icite/harvard/i ndex.aspx



联系我们
  • QQ:99515681
  • 邮箱:99515681@qq.com
  • 工作时间:8:00-21:00
  • 微信:codinghelp
热点标签

联系我们 - QQ: 99515681 微信:codinghelp
程序辅导网!