PREDICTOR Asset Management

This implementation case also comes from COREALIS, a project aiming to define the future era of European ports using the latest technology available in order to face the greatest challenges on the agenda such as efficiency or environment.

Within this project, several pilots were implemented to test their outcomes. In this case it is of particular interest the pilot in the Port of Piraeus. Within this Living Lab, they tested the COREALIS Predictor Asset Management tool.

This kind of preventive maintenance is costly and does not capture asset-specific conditions. To overcome these issues, predictive maintenance (PdM) considers the operating conditions of vehicles by leveraging data collected from individual assets to predict failures in future. In this way, repairs can be done only when it is required (and avoided when it's not required).

It can be seen as a 3 steps process showed in the following figure:

Figure 1. Overview of the Predictive Maintenance Process[1]

The data comes from a module which collects real-time equipment data and maintenance historical. It is processed in a platform with an AI algorithm, which obtains benefits on reducing the asset timing and the maintenance cost while optimizing the Spare Parts Inventory. Therefore, the Predictor Asset Management is formed of the equipment List, the maintenance schedule and a learning algorithm. The spare parts inventory will be based on the predictive maintenance schedule with a JIT inventory.

In other words, it is a machine learning tool based Just in Time inventory with the objective of extending the lifecycle of yard equipment, improve its availability and reduce inventory cost and size. 

The tool monitors and predicts dynamically the life-cycle cost of port assets. It is made by an algorithm that predicts maintenance for yard trucks. It had an accuracy of 85/90% as the break down is concern. Using these results, the port can minimize the inventory that it keeps, and it manages better the maintenance time for the trucks as well as minimize the breakdowns during the operations. 

This tool was designed and developed in the project by NEC.

Currently, the system is kept in the port of Piraeus, and it is bringing multiple financial and operational benefits. It increases the efficiency of processes and its planning, and reduces costs, energy consumption and GHG emissions.