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How to Overcome Your MRO Planning Dysfunction? Use Algorithmic Optimization Modelling
A radical shift is echoing through Maintenance, Repair and Overhaul (MRO) departments in verticals like Aerospace & Defense, Industrial Machinery and Equipment, Public Transport and Utilities.
Companies who fail to recognize this transformation risk getting left behind. This transformation results from a combination of multiple, large-scale changes occurring simultaneously within these industries. During the last decades systems have become more complex. Maintaining these systems requires specialized facilities and equipment. And MRO personnel require advanced levels of technical expertise to work with new technologies in these systems and structural components—along with the ability to maintain that valuable expertise.
New technologies each produce an overwhelming amount of information. This information has often to do with real-time performance monitoring that helps reduce maintenance costs and real-time generated stress data that can help extend lifecycles of the assets. Increasingly, MRO success will be driven by the availability and accessibility of this information within the maintenance ecosystem. Health monitoring based in this data leads to spot on predictive maintenance cycles. When you have your predictive maintenance cycles under control you can optimize your inventory which improves your assets availability and brings cost control, so control of Operational Data leads to control in the Workspace which leads to control of your assets.
Beyond the increasingly advanced technological requirements, the MRO market is growing in both size and scope. At the recent European MRO event of Aviation Week the consulting and technology services provider ICF International predicts that by 2025 the MRO Spend in Commercial Air Fleet alone already will be $ 96 billion, a growth of 4,1% per annum. Fleets have expanded over the past decade as well as efficient use of these assets. When this growth is coupled with the distinct differences between the primary maintenance activities, the complexity of this mix can challenge even the most seasoned MRO player.
For most enterprises, the ultimate goal in MRO is to find a way to reduce costs, without compromising the availability of assets or companies responsibility for maintenance and repair throughout the organization. Within the above mentioned challenges reside opportunities. Those companies who optimize their MRO planning by using algoritmic optimization models to balance their maintenance capacity with the demand of their assets will see higher availability of these assets. More over when these MRO departments optimize all constraints from a process based perspective instead of transactional based will take even more advantage of the opportunities presented by this volume of information.
Recently ICRON, as software supplier of a process based MRO planning solution, was referenced by a the retired CEO of SAESL, a joint venture between Singapore Airlines Engineering Company, Rolls Royce and Hong Kong Engine Engineering Services stating:
ICRON was the first ever able to rapidly generate the work schedule dynamically as the MRO investigation process reveals the true work scope. ICRON has transformed our planning capability, improving operating reactivity and flexibility which postively influenced our EBITDA.
ICRON is actively working with companies in above mentioned verticals. By using algoritmic optimization for MRO Planning their customers are innovatively leading the way. ICRON can help companies leverage this planning optimization capability and make a real difference for their customers and shareholders. When you recognize yourself please don’t hesitate to contact ICRON.