Any AM team requires a balance of people.
Asset Management is a bridge between business strategy and technical delivery, and therefore must consider the right balance of attributes and skills to deliver this. Bluntly, an Asset Management team that is purely technical, or alternatively has no experience with assets, will struggle. Some experience in the team on front line delivery and, even better, existing relationships with the front line, especially maintenance, is invaluable, but AM also needs good analysis skills and business understanding.
More challenging for some technical people is the need for good communication skills. Since AM implementation is hugely about communicating what AM is about and facilitating the improvements, AM practitioners must at least value communicating. This will, sooner or later, require communicating some complex ideas and processes to people from the executive suite to the front line of service delivery – and including external stakeholders
AM functions have to see themselves as promoting, influencing and coordinating rather than directly delivering. (Wally Wells of Asset Management British Columbia calls this the folded arms approach.) This means developing good relationships with a range of other teams. AM practitioners have to be able to acknowledge and respect what other people know, and have some detachment, because their role is to bring together different teams and types of experience & knowledge into asset strategies and integrated planning, not to try to impose their own opinions on asset decisions. They must have a big picture view of the business such that they understand concerns within silos but can explain the needs of the entire organization to put the concerns into context.
Another specific requirement is for people who can ‘embrace uncertainty’, since AM is at its heart about planning for the future – and the future is always uncertain. For example, ProGas in the Netherlands in the early 2000s focused on promoting smart technical people into asset planning: the only ones who succeeded were those who could cope with making decisions on clearly imperfect knowledge and data. Many could not.
The ability to think probabilistically is not intuitive, but it is of great value and can be learned. Those that have developed their understanding of probabilities can use this thinking to help address the uncertainty that is essential to describing systems, predicting outcomes, and influencing outcomes.
A structured approach to problem solving, even to questions where there isn’t an obvious right answer, or the exact answer can’t be known, is important. AM practitioners should be curious and ask questions, working to discover root causes.
The strongest AM practitioners seem to know when there isn’t a single correct answer, and what set of constraints should be used to move forward with the next best alternative.