Relex Markov
	Relex Markov analysis software employs an exceptionally easy to use interface to allow the user to easily create Markov models. Relex Markov analysis software uses a powerful, proprietary mathematical engine to quickly perform the difficult, time-consuming mathematical tasks required for Markov modeling. Intuitive reporting and integration with other tools in Relex Reliability Studio rounds out Markov's capabilities.

Markov models are a flexible system modeling tool that enables an analyst to consider scenarios that are not traditionally supported by other classes of analyses. Markov models are used to consider systems where future performance is determined solely by its current state. They are particularly useful where a simulated answer to a complex problem is not acceptable.

A typical analysis could begin by determining the:

• States of operation under consideration
• Operating condition of each state (good/failed/capacity)
• Connection between different states
• Transition rates for each connection

It may be useful to use Markov analysis to model:

• Systems with complex repair or restart procedures (e.g. Network operation or network reboot)
• Systems with event-dependant failure or repair properties (e.g. system cooling fan failing causes failure rates to double)
• Complex common cause failures

Markov models generally are displayed in a simple graphic form, but require extensive mathematics and time to complete even simple models.