代写澳洲assignment-MPT assignment-数学教学作业

发布时间:2011-08-17 09:30:38 论文编辑:代写硕士毕业论文

代写澳洲assignment-MPT assignment-数学教学作业Part (a)
This part of your assignment is concerned with Azouza who wish to review their operating systems in order to provide an appropriate service to their customers.

Azouza operate several service call centres, selling banking products, each call centre is allocated a sales region.
Azouza wishes to compare the efficiencies of these call centres using some or all of the data:
• Number of full time staff employed for more than 2 years
• Number of full time staff employed for up to 2 years
• Number of part time staff employed for more than 2 years
• Number of part time staff employed for up to 2 years
• number of calls per year
• number of sales per year
• Yearly profit


1) By identifying suitable input(s) and output(s) perform a preliminary graphical analysis using the data in table 1 to investigate the efficiency of the call centres.

Call centre Full time staff years  Part time staff years  Calls per year Sales per year Yearly profit
 <2  >2  <2  >2  ’00,000 ‘00,000 (‘000)
Ayton 4 16 7 13 520 120 2000
Beeham 8 12 8 8 350 150 2257
Cechester 12 18 6 2 736 100 2241
Deebury 12 14 9 12 561 180 2222
Feeby 14 6 12 10 444 130 2123
Table 1: staffing duties and sales breakdown

 

2) Extend your investigation of the efficiency of the call centres by including weighted attributes. Hence produce and solve a set of models using Xpressive software.
You must explain and justify, your choice of input and output attributes, which should be chosen to enable the analysis to discriminate between the units.

You are required to provide a report summarising the results from your investigation and providing information to enable the management to operate this firm efficiently and effectively.
 
Required Deliverables
Part (a)

• A word processed report style document, not exceeding 6 A4 pages, 
• Electronic copies of relevant Xpressive files.

 
Part (b)
You are required to review a published paper from the selection presented in Appendix A. These papers discuss the application of mathematical programming techniques to relevant case studies.

The titles of the available papers are given in the appendix. Each paper is available to one reviewee only, so select a paper and confirm your choice with the module leader as soon as possible.

You should read your chosen paper, briefly summarise the content, and critically review the paper. Your review should comment on the overall quality of the paper, how well any stated objectives are met, identify any shortcomings or errors, give any relevant suggestions or recommendations.

All sources should be correctly referenced using the Harvard system; electronic sources should be referenced according to the guidelines given in the Citing and Referencing document which can be found on the module website.

A word processed review, not exceeding 2 A4 pages, 

Note:
You may submit your report and review electronically, (via digital dropbox, e-mail attachment, Pendrive, CD), including any relevant software files. …You must ensure that you receive a receipt of submission, and retain evidence of electronic submission.


Marking Criteria

Credit will be awarded for
• Effective modelling of the problem and appropriate experimentation
• Obtaining a solution and interpretation of the results
• Presentation (e.g. use of tables, charts, graphs etc.)and evaluation of the findings
• A concise informative report communicating findings and recommendations.
• Effective critical review of a relevant journal paper

To obtain a GRADE A there will be evidence of:
effective modelling skills, critical interpretation and evaluation of findings.
Clear and effective communication of findings from both tasks.

To obtain a GRADE B there will be evidence of:
modelling skills, good interpretation of findings, a well-written report and a satisfactory review.

To obtain a GRADE C there will be evidence of modelling skills, interpretation and discussion of the results, a satisfactory report and review.

To obtain a GRADE D there will be evidence of some modelling skills, but limited interpretation of the results and an attempt at the review.
and shortcomings in both your report and review.