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Analyzing Monthly and Quarterly Demand: Forecasting Methods for Chemical Production Company

Submission Guidelines and Originality Score Information

Please Note: You are permitted to upload your Coursework in the final submission area as many times as you like before the deadline. You will receive a similarity/originality score which represents what the Turnitin system identifies as work similar to another source. The originality score can take over 24 hours to generate, especially at busy times e.g. submission deadline.


If you upload the wrong version of your Coursework, you are able to upload the correct version of your Coursework via the same submission area. You simply need to click on the 'submit paper' button again and submit your new version before the deadline.


In doing so, this will delete the previous version which you submitted and your new updated version will replace it. Therefore your Turnitin similarity score should not be affected. If there is a change in your Turnitin similarity score, it will be due to any changes you may have
made to your Coursework.

 

Please note, when the due date is reached, the version you have submitted last, will be considered as your final submission and it will be the version that is marked.


Once the due date has passed, it will not be possible for you to upload a different version of your assessment. Therefore, you must ensure you have submitted the correct version of your assessment which you wish to be marked, by the due date.2 | P a g e


Your overall total word count should not exceed 2,500 words (Weighted at 30% of final mark for the module)


Coursework Description:


UOLI Ltd is a chemical production company. One of the products they make is sold in three distinct markets: domestic, export and as an Original Equipment Manufacturer (OEM) for Bayes plc. The excel data file DEMAND.XLSX contains monthly demand over 50 months for domestic and export sales and quarterly demand figures for OEM over the same 50-month period.


You are required to analyse the data and produce a report providing a recommendation for a forecasting method for each market and use this to produce forecasts for the next year. Your analysis should be based on decomposition, exponential smoothing and regression forecasting
approaches for each time series.


With this course work you should produce a report containing:


An executive summary (approximately 250 words), which should summarise what was done, why, how, what was concluded and recommended (5%)


An introduction including discussing why forecasting of these variables is important to the organisation and how the forecast might be used. Also include some preliminary analysis of the data (15%)


A section on forecasting the domestic demand, explaining the application of the methods explored and the results obtained. (15%)

 
A section on forecasting the export demand, explaining the application of the methods explored and the results obtained. (15%)


A section on forecasting the OEM demand, explaining the application of the methods explored and the results obtained. (15%)


A concluding section including a summary of the findings, comparison of the accuracy of the ifferent methods employed for each time series, and recommendations on the appropriate method of forecasting, together with production of the required future forecasts. You should also provide qualitative commentary on the confidence you have in your forecasts.(20%)


An appendix giving a discussion of assumptions you have made in completion of this work and suggestions on how you might extend the work if time and resources were available. (15%)

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