Mirce Science Philosophy
The development of science started when people began to study phenomena not merely observing them. People developed instruments and learned to trust their readings, rather than to rely on their own perceptions. They recorded the results of their measurements in the form of numbers. Supplied with these numbers they began to seek relationships between them and to write down in the form of formulas. Then the formulas became the only things they came to trust when they began to predict things they could not physically experience.
The philosophy of Mirce science is based on the premise that the purpose of existence of any machine is to do a work, which is considered to be done when a measurable function is delivered through working process. It is measured by quantities of work deliver during a stated time, like: miles travelled, number of units produced, quantity of energy supplied and similar. However, experience teaches us that at any instant of a working process there is a chance of the work being interrupted by occurrence of compelling events caused by: natural phenomena, human conscious/unconscious actions or their interactions. Consequently, for the work to be continued it is necessary to take required actions like: performing required maintenance tasks, change the mode of working, select new location and so forth. Many of these actions required unique resources, like: trained personnel, spare parts, special tools, unique test equipment, purposely build facilities (launch pads, dry docks, etc.). Luck of any of these resources prevents machines form doing expected work.
To enable quantitative prediction of the work done by a machine during working process, Dr Knezevic introduced the concept of functionability, which is defined as a measure of the ability of a machine to deliver measurable function at an instant of time. Consequently, from a functionability point of view, during the working process, a machine could be in one of the following two functionability states:
- Positive Functionability State (PFS) – work is being done
- Negative Functionability State (NFS) – work is not being done, for whatsoever reason.
The motion of a machine through working process is govern by the controlling actions that are classified as following:
- Positive Functionability Action (PFA), a generic name for any natural process or human action that compels a machine to move to a PFS
- Negative Functionability Action (NFA), a generic name for any natural process or human action that compels a machine to move to a NFS.
The motion of a machine through working process is physically observed through occurrences of functionability events that are classified as following:
- Positive Functionability Event (PFE), a generic name for any physically observable occurrence that signifies transition of a machine from a NFS to a PFS,
- Negative Functionability Event (NFE), a generic name for any physically observable occurrence that signifies the transition of a machine from a PFS to a NFS.
Consequently, a quantity of work done by a machine during working process is directly proportional to the amount of time spent in PFS.
Mirce Science Axioms
Axiom 1: A machine enters working process in the positive functionability state.
Axiom 2: A machine stays in a given functionability state until compelled to change it by any imposed action whatsoever.
Axiom 3: A functionability event is an observable occurrence at which a machine changes a functionability state.
Axiom 4: A functionability event is occurring with a probabilistic regularity.
Axiom 5: A machine leaves working process in the negative functionability state.
These axioms are the bedrock for all predictions in Mirce science. Also, they limit its applications as they do not cover all aspects of a machine working process, like: marketing, insurance and many others.
The pattern generated by the motion of machines through functionability states during working process forms the functionability trajectory, which is uniquely described by Mirce Functionability Equation.
Mirce Science Mathematics
Generally speaking, Mirce Functionability Equation, formulated by Knezevic, is an infinite sum of probabilities of a given machine being in PFS state any instant of time during working process. Hence, expected work to be done by a given machine during a given interval of time is equal to the are under the curve. Thus, the same equation, when applied to the same machine expected to be exposed to different working process, in respect to operational, maintenance and support policies, generate different working performances and consuming different resources.
Mirce Science Applications
The practical applications of Mirce science is a creation of framework that enables quantitative comparisons of all feasible options and the selection of the machine configuration with the highest probability of success.