Mitsubishi Heavy Industries Engineering (MHIEG)
Mitsubishi Heavy Industries Engineering optimizes the maintenance of its transportation systems with AVEVA PI System
Mitsubishi Heavy Industries Engineering (MHIEG) has undertaken a major transformation in the transportation sector, moving from a time-based maintenance model to an approach based on the actual condition of equipment. Until then, the organization relied on scheduled maintenance cycles that were poorly suited to the actual use of each asset and generated avoidable costs. To support this transition, MHIEG deployed AVEVA PI System as part of a pilot project dedicated to its onboard CO2 capture system for trucks. The platform continuously collects the data needed to anticipate predictive maintenance interventions. The results validate the approach: truck availability has increased, safety has improved and maintenance costs have fallen, with faster, more efficient repairs. MHIEG now plans to roll out the program on a larger scale to build a safer, more convenient and lower-carbon future for transportation.
FAQ
How can you move from time-based to predictive maintenance with AVEVA PI System?
MHIEG previously relied on a maintenance model based on scheduled time cycles, which was poorly suited to actual truck usage. AVEVA PI System continuously collects equipment operating and condition data, making it possible to trigger interventions based on actual condition rather than a calendar. This shift to predictive maintenance optimizes asset availability, avoids unnecessary interventions and focuses resources on real needs, transforming industrial performance.
How does AVEVA PI System support a pilot project for onboard CO? capture?
MHIEG deployed AVEVA PI System for its innovative CO? capture system mounted on its trucks. The platform collects the operational data needed to ensure the system runs properly and to anticipate maintenance needs. This real-time data management is essential to validate the reliability of an emerging technology and demonstrate its value on a larger scale. It is an exemplary use case combining digital transformation and the energy transition in the transportation sector.
What operational results has MHIEG achieved with AVEVA PI System?
The results of the MHIEG pilot are significant: greater truck availability, improved safety, lower maintenance costs and faster, more efficient repairs. Operational KPIs confirm the value of the predictive approach. These gains, combined with lower carbon usage and costs, validate the strategy of deploying on a larger scale, demonstrating the value of AVEVA PI System for machine builders (OEMs) engaged in connected service programs.
Why should an OEM offer AVEVA PI System to its customers?
For a manufacturer like MHIEG, AVEVA PI System makes it possible to build a value-added connected service offering: real-time monitoring of equipment sold, predictive maintenance and performance optimization. This strategy turns the customer relationship into a long-term partnership and generates recurring revenue beyond the initial sale. It is an increasingly strategic business model for industrial OEMs seeking to support their customers' digital transformation.
How does AVEVA contribute to safer, lower-carbon transportation?
MHIEG aims for a safer, more convenient and lower-carbon future for transportation. AVEVA PI System supports this vision by providing the real-time data needed to optimize truck operation, anticipate failures and maximize the efficiency of CO? capture systems. The platform thus combines industrial performance, operational safety and environmental sustainability, three major strategic issues for the transportation and logistics sector today.