Difference between revisions of "ANLY482 AY1516 G1 Team Skulptors - Change Management"
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<tr style="background-color:#E1F4FF;"><th colspan=7>Sponsor Requirement Change Log</th></tr> | <tr style="background-color:#E1F4FF;"><th colspan=7>Sponsor Requirement Change Log</th></tr> | ||
<tr style="background-color:#E1F4FF;"><th width="6%">Date</th><th width="10%">Milestones</th><th width="10%">Dataset</th><th width="10%">Feature</th><th width="30%">Feature Description</th><th width="8%">Status</th><th width="26%">Status Description</th></tr> | <tr style="background-color:#E1F4FF;"><th width="6%">Date</th><th width="10%">Milestones</th><th width="10%">Dataset</th><th width="10%">Feature</th><th width="30%">Feature Description</th><th width="8%">Status</th><th width="26%">Status Description</th></tr> | ||
Revision as of 20:29, 27 February 2016
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| Project Schedule | Change Management | Risk Management |
| Sponsor Requirement Change Log | ||||||
|---|---|---|---|---|---|---|
| Date | Milestones | Dataset | Feature | Feature Description | Status | Status Description |
| 6 Jan | Before Project Proposal | Etude House, Laneige, Innisfree, Sulwhasoo | Vertical lift | Determine the type and quantity of SKUs that should be placed for muti level storage, and the lift space optimization. | - | - |
| A,B,C classification | Development an algorithmn to sort SKUs into A,B,C classifications, based on their rate of movement (fast / slow moving). | |||||
| Dashboard | Develop a dashboard using Tableau for high level visualizatiion of warehouse process. | |||||
| Warehouse Utilization tool | To help employees understand fill and flow rate of the warehouse based on historical data, and also, determine pick rate of warehouse locations and identify most used and least used locations. | |||||
| Application development | Develop an application for long term sustainability use. This will allow client to continue analyzing new data via a uploading feature, even if the the project is over. | |||||
| 13 Jan | After Project Proposal | B. Braun Singapore, Heinemann Asia Pacific | Vertical lift | Determine the type and quantity of SKUs that should be placed for muti level storage, and the lift space optimization. | Removed | Client wished to change focus too analysis on inbound and outbound data. Concerns was that number of shelves, stories and size of lift have not yet been finalized in the new warehouse. |
| A,B,C classification | Development an algorithmn to sort SKUs into A,B,C classifications, based on their rate of movement (fast / slow moving). | Changed | Removed development of algorithmn. Values to determine SKUs category classification will be given by client instead. | |||
| Dashboard | Develop a dashboard using Tableau for high level visualizatiion of warehouse process. | Changed | Team will be using d3.js and SAS Enterprise Miner. D3.js to allow flexibility and customization of application by client. SAS Enterprise to gain more indepth analysis. These cannot be attained by Tableau. | |||
| Warehouse Utilization tool | To help employees understand fill and flow rate of the warehouse based on historical data, and also, determine pick rate of warehouse locations and identify most used and least used locations. | Remain | - | |||
| Application development | Develop an application for long term sustainability use. This will allow client to continue analyzing new data via a uploading feature, even if the the project is over. | |||||
| 29 Jan | After Project Proposal | B. Braun Singapore, Heinemann Asia Pacific | A,B,C classification | SKUs into A,B,C classifications, based on their rate of movement (fast / slow moving). | Changed | To include top 20 SKUs visualization. Client's rationale was that even with the classification of SKUs, there is a high probablty to have hundreds of categorical "A" SKUs, hence, he would also like to know the top best beforming SKUs. |
| Dashboard | Utilization of SAS Enterprise miner for data analytics and d3.js for data visualization and | Remain | - | |||
| Warehouse Utilization tool | To help employees understand fill and flow rate of the warehouse based on historical data, and also, determine pick rate of warehouse locations and identify most used and least used locations. | |||||
| Application development | Develop an application for long term sustainability use. This will allow client to continue analyzing new data via a uploading feature, even if the the project is over. | Changed | Client is looking into the possibility of linking the team's application with its onsite database. This would eliminate the need for frequent upload of data as this data will be pulled in from the client's inhouse WMS. | |||
