ANLY482 AY2017-18 T1 Group1/Final Progress
| Home | Team | Project Overview | Midterm Progress | Final Progress | Project Management | Documentation |
| Item No. | Final Deliverables |
|---|---|
| 01 | Conference Paper (submitted on eLearn) |
| 02 | Presentation Poster (submitted on eLearn) |
| 03 | Project Artefacts (submitted on eLearn) |
Supply chain management is a complex process that is filled with information that can be mined using data analytics techniques. From procurement of raw materials to manufacturing the different compositions of a finished good to distribution and sales, there are a lot of information that a company can use to improve the efficiency of their supply chain. This can be done by uncovering discrepancies in the costs in procurement and distribution or creating demand forecasting models to anticipate future demand for a finished good.
This is the first iteration of a data project our sponsor has undertaken and thus the objective will be to source out data issues and create an overview of our client's supply chain. The data and insights obtained can then be used in the future for more complex analysis. For the project, we will be utilizing Python and R and respective data manipulation packages (Pandas, dplyr, etc.) to combine the client's disparate excel files into a single master table. Finally, Tableau will be used to visualize cost comparisons of the constituents of a product throughout its manufacturing and distribution.
