Maintenance is a dynamic and nonlinear function of production. Because the management of maintenance is so nonlinear and has so many variables such as Operationally Induced Events and spare parts availability, it is all but impossible to predict future maintenance costs. But, just because the many variables make it impossible to predict future costs it does not mean that a maintenance department cannot produce the lowest maintenance cost per unit of production possible if given certain support from senior management.

We offer several metrics such as the computation of our "True Risk/Reward Ratio for Deferring Maintenance" and our "Inverse-Square Rule for Deferred Maintenance" that can offer management exceptional real-time decision making tools to create the lowest maintenance cost per unit of production possible without a large capital injection to create improvement or recovery.

These metrics seem to work across all industries and types of equipment and gives each level of management easy rules of thumb to predict the consequences of deferring maintenance.

Knowing these metrics improves the quality of operational, training, safety, and budgetary decisions concerning production and maintenance.

If you should care to learn more about how the metric works, I am at your service.

Sincerely,

David Tod Geaslin