Difference between revisions of "ANLY482 AY2017-18 T1 Group2"
| Line 24: | Line 24: | ||
|} | |} | ||
| + | |||
| + | <!--Sub Header--> | ||
| + | | ||
| + | {| style="background-color:white; color:white padding: 5px 0 0 0;" width="100%" height=50px cellspacing="0" cellpadding="0" valign="top" border="0" | | ||
| + | |||
| + | | style="vertical-align:top;width:20%;" | <div style="padding: 3px; text-align:center; line-height: wrap_content; font-size:15px; border-bottom:1px solid #b21301; font-family:tahoma"> [[ANLY482_AY2017-18_T1_Group2| <b>Current</b>]] | ||
| + | |||
| + | | style="vertical-align:top;width:20%;" | <div style="padding: 3px; text-align:center; line-height: wrap_content; font-size:15px; border-bottom:1px solid #b21301; font-family:tahoma"> [[ANLY482_AY2017-18_T1_Group2 Project EZLin_Midterm| <b>Midterm</b>]] | ||
| + | |||
| + | | style="vertical-align:top;width:20%;" | <div style="padding: 3px; text-align:center; line-height: wrap_content; font-size:15px; border-bottom:1px solid #b21301; font-family:tahoma"> [[ANLY482_AY2017-18_T1_Group2 Project EZLin_Final| <b>Final</b>]] | ||
| + | |} | ||
| + | <!--/Sub Header--> | ||
<br/> | <br/> | ||
| Line 42: | Line 54: | ||
<br/> | <br/> | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
<br/> | <br/> | ||
<center> | <center> | ||
Revision as of 09:05, 16 October 2017
For this project, there will be a strong focus on helping XXX to do a detailed analysis on the price of the materials in their product BOM (Bill of Materials). The aim of doing so is to allow them to make informed and well-supported decisions when purchasing raw materials. This will potentially lead to higher profit for their business through extensive saving cost, allowing them to direct any additional resources to other parts of the business.
The data we were able to obtain from XXX includes: a list of materials with their respective prices, the company’s vendor information and the relationship between each plant and distribution center.
The Asia Pacific region for XXX has many plants and distribution centers all over Asia. Therefore, from the data, we are able to have a list view of the shipment flow for the materials which we will need to represent visually through mapping the plants and the distribution centers based on the information provided.
To help XXX better understand their data, we will firstly seek to use data visualisation tools to visualise the shipment relationship between each plant and distribution center. Following which, we will have a detailed comparison of the shipment in the different areas. Ideally, we would like to identify some of the factors contributing to the variance in the material prices and the shipment prices.
