Efficiency and effectiveness are two of the most important objectives in the implementation of the Industry 4.0 strategy. They both strongly depend on an early error detection and troubleshooting. Therefore, the project mainly aims at the reduction of the rework and the avoidance of errors during the production of tractors at the John Deere factory in Mannheim. These two objectives are realized through a data analysis of the error information, the test protocols and their interdependencies. Based on the results of the data analysis, we can make prognoses and rules for the production planning that help the company to take one step further in the process of self-optimization.
Data Innovation Community
John Deere, IBM, KSRI
Roman Studenic, StudenicRoman@JohnDeere.com
Dec. 2016 – Apr. 2017