Dashboard Design of Shipping Container Reparation

This paper presents the shipping container reparation dashboard, which was designed based on a dataset of a logistic company in Surabaya, Indonesia. Based on the logistic company business model, containers are inspected and repaired first after being used by customers. Thus, the data from shipping container repair work are recorded and used for our study. MTBF (Mean Time Between Failure) and other important parameters that indicate the shipping containers performance and reliability are post-processed and analyzed in this study using the data mining method. The post-processed data are visualized using a dashboard to make it easier to monitor at a glance. In short, the data visualization dashboard (in this study) depicts the post-processed data of damaged containers, repair works, MTBF value, types of damage, damage location, types of repairs, supplies of the component, and other parameters. Therefore, the dashboard is expected to help the company make decisions to improve the containers reliability based on MTBF values and other data that affect the containers reliability