Engineering Uncategorized

Combat Mission Effectiveness

OEEOverall Equipment Effectiveness, is a quantifying term which has been evolved from production lines effectiveness measurements. The term depicts in simple words to do the right function (Performance), in the right way (Quality) at the right time (Availability).

The mathematical equation is:

OEE= P x Q x A

Using this idea, which is well backed up by an industrial standard – “Overall Equipment Effectiveness – OEE 2002, AFNOR (a French standards organization), we can say the following:

While the Performance and Quality of a combat system are given by design, mission availability is statistical and time dependent, meaning it depends on various momentary inter-dependencies like combat field alternating threats, intrinsic MTBF statistics, operators fatigue, GUI considerations and many others.

Using our real-time QCM capabilities, we can actually integrate and quantify the overall system state of health by measuring of all combat system parameters, providing a quantification of availability in holistic and systemic terms. Furthermore, we can analyze and provide in a proactive way, only the instantaneous key contributors that put a given mission at risk – thus enabling to react in-mission according to pre-planned scenarios.       

In summary:  we can measure and analyze in a continuous manner combat platform readiness to increase the availability level in crucial mission times, thus achieving the ultimate effectiveness and mission results.

(submitted by A. Faran)

Established originally in 2005 in the USA, Ontonix is a technology company headquartered in Como, Italy. The unusual technology and solutions developed by Ontonix focus on countering what most threatens safety, advanced products, critical infrastructures, or IT network security - the rapid growth of complexity. In 2007 the company received recognition by being selected as Gartner's Cool Vendor. What makes Ontonix different from all those companies and research centers who claim to manage complexity is that we have a complexity metric. This means that we MEASURE complexity. We detect anomalies in complex defense systems without using Machine Learning for one very good reason: our clients don’t have the luxury of multiple examples of failures necessary to teach software to recognize them. We identify anomalies without having seen them before. Sometimes, you must get it right the first and only time!

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