Organization:
The organization that is analyzed is Tesla, Inc. formally named Tesla motors. Tesla was founded in 2003, by an engineering group that wants to show consumers that driving electric is not a settlement to their lives. That driving electric can be enhanced, faster, and enjoyable than regular gasoline cars. Tesla’s mission is to accelerate the world’s transition to sustainable energy. Tesla is involved in the automotive, manufacturing, energy saving industry. The CEO, Elon Musk has a goal to have one million cars by 2020. Musk had an envision of the future all vehicles will be electric and fully autonomous. On April 17, 2017, they became one of the most valuable car makers. Since …show more content…
Based on this was Tesla ready to introduce, and implicate the ERP systems to the organization? Did they have the management, budget, allowed time to install successfully? Also, was the ERP system the right system for their business plans? If they were why, and if they weren’t why.
ERP Implication year of analysis:
Base on the analysis case, Data Analytics for Manufacturing the Tesla’s Case Study, published in April 2017, the first thought was 2017. However, after researching more about the ERP system and Tesla, and reading articles that talk about the system. The implication took place in and around 2016 when the organization was growing. The complete process and implication took four months which is a brief time for an extensive ERP system to be created and implicated. It’s not like other ERP systems that are involved in other organizations; those would take a year or more.
Workflow …show more content…
However, many employees only know a few of them, Tesla has put into place. Their technology consists of networks that their data is spread across. The primary systems are Manufacturing Execution System (MES), MYSQL Test, Web-Enabled QuickBase, Excel Spreadsheets.
The MES helps control the air traffic of their entire production processes. It helps tell an employee where a product should be going, keep track of the production, any quality issues, and necessary measurements that are needed. MES goes along with the use of Oracle SQL Server Databases. MYSQL test helps store the test data in separate databases. This database was created and established by Tesla’s team in-house. The web-enabled QuickBase helps track any changes in the process, quality issues. This system was easy and flexible to use. Tesla uses Excel Spreadsheets, for their one-off manual