Intelligent Maintenance Framework for Public Transport Mobility Assets

Australian rail industry employs nearly 200,000 employees to maintain a 12.6 billion AUD worth assets and infrastructure. However, recent findings revealed that inefficient knowledge transfer mechanisms are causing frequent service disruptions, higher maintenance costs and diminished workforce morale. The maintenance knowledge transfer framework proposed in this research, divides complex assets into functionality oriented sub-systems. The maintenance staff is allocated for each sub-system through a novel skill quantification metric called cognitive and psycho-motor skill index. The proposed framework has proven its effectiveness in case studies by decreasing asset maintenance costs by 25%, reduced training cost and time, and improved safety.