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Bаyаni Bulb Bаses Bayani Bulb Base, Inc (BBB) prоduces and sells Edisоn screw bases that are used by its whоlesale customers as inputs into the production of LED (light-emitting diode) bulbs. The six light bulb bases BBB produces are: E11 - Miniature Candelabra/Sconce (11 mm) E12 - Candelabra/Sconce (12 mm) E14 - European (14 mm) E17 - Intermediate (17 mm) E26 - Standard/North American (26 mm) E39 - Mogul/High Lumen (39 mm) BBB manufactures its light bulb bases in Appleton, Wisconsin; Greenville, South Carolina; and Henderson, Nevada. These modern factories are completely automated; all functions are performed by robots, so BBB factories are capable of production 24 hours per day and seven days per week. When BBB receives an order, it is immediately shipped from one of BBB’s warehouses to the customer, and one of BBB’s factories is immediately assigned to produce replacements and ship them to that warehouse to replenish BBB’s inventory. The finished bases are packed in cases of 244, and BBB’s factories each have limited capacity to temporarily store cases of finished bases before they are shipped to BBB’s warehouses in Boise, Idaho; Scranton, Pennsylvania; Jackson, Mississippi; and Sante Fe, New Mexico. The limited storage capacity at the factories compels BBB’s factories to ship cases of finished bases within 2.5 days of manufacturing and packing on average. Once the cases of finished bases arrive at the warehouses, robots automatically unload and store them as directed by BBB’s inventory control system. In addition to BBB management’s concern about the length of time cases of finished bases remain in temporary storage at each of its factories, BBB management also wants to determine whether any factory tends to produce cases of finished bases at slower or faster rates than the other two factories and whether any factory tends to ship cases of finished bases at slower or faster rates than the other two factories. Additionally, for each type of light bulb base, BBB management wants to monitor its monthly productivity by factory and the monthly number of cases of finished bases shipped from each factory to each warehouse. Members of the BBB executive team asked Marisa Vallejo, Directory of Information Technology (IT), to develop a tool that will enable them to quickly gain insight into the status of each of these issues. Marisa decided that her staff could design a dashboard that would effectively and quickly provide these insights in a visual manner that would be easy for BBB’s management to assimilate. Marisa’s first step was to task her staff with identifying and collecting the data necessary to support the development of this data dashboard. The IT staff collected the following data for each order placed with BBB over the past 36 months. Order Number Product Ordered Cases Ordered Factory in which the Order is Produced Warehouse to which the Order is Shipped Date Ordered Date Manufactured by Factory Date Shipped by Factory to Warehouse These data are available in the file bbb.xlsx. Because each row in these data represents an order of cases that has been fulfilled (produced and shipped), the field Cases Ordered also corresponds to the number of cases produced and the number of cases shipped Using Tableau, build the following charts: (no dashboard is required) A line chart showing the monthly average time to produce finished cases of bases for any BBB product(s). Is the average time to produce finished cases of bases by any BBB factory substantially higher or lower than the other BBB factories? (20 pts) A stacked bar chart with Month and Year on the horizontal axis, Average Days to Ship on the vertical axis, Average of Days to Produce and Average of Days Stored in Factory (which equals Average Days to Ship) on the legend, and interactive filters for Product and Factory. (20 pts) A clustered bar chart to show the monthly productivity for each factory for each BBB product, with Month and Year on the horizontal axis, Cases Ordered on the vertical axis, Factory on the legend, and interactive filters for Product, Year, and Factory (20 pts) A clustered bar chart to show the monthly number of cases of finished bases shipped from each factory to each warehouse with Month and Year on the horizontal axis, Cases Ordered on the vertical axis, Factory on the legend, and interactive filters for Product, Year, Factory, and Warehouse (20 pts) In each chart, add an appropriate title and a text box with your conclusion (20 pts) Upload the packaged completed Tableau workbook with the data (.twbx extension) to Canvas. Grading Line chart avg time to produce by product/factory 20 Stacked bar chart avg time to ship. 20 Clustered bar chart for monthly productivity 20 Clustered bar chart for cases of finished bases 20 Title and insight for each 20