Of course CAPEX will effect OPEX, or it should…or will it? The idea makes sense, however, at what point will a piece of equipment cost you more to maintain than it would cost to simply replace that piece of equipment? Should a refurbish be considered? How should a new plant be configured for the highest cost benefit? Not properly designing a system or not being willing to spend the money to replace equipment at the right interval could be costing you. By modelling your system in easy to use tools you can make logical decisions as well as justifying these decisions.
Although we post a lot of web demos that cover analytical topics related to the Reliability Workbench let’s remember that the Availability Workbench is probably the most powerful tool of its kind on the market. There is a good chance someone you know is using the Availability Workbench!
Availability Workbench is used to optimise maintenance and spares policies, predict system availability and throughput and estimate life cycle costs. It includes well known modelling methods such as FMECA, Reliability Block Diagram Analysis and Fault Tree Analysis.
The following web demo is a high level overview of the software, if you have any questions or need more information on the software please let me know:
For anyone that has spent a bit of time in reliability the term Weibull distribution has probably come up, or should have come up. It is named after Swedish mathematician Waloddi Weibull, who was the first to describe Weibull in length in 1951. Although Waloddi didn’t actually come up with the math for Webiull, the formulas and even an application had been applied years before, he was the first to describe it and won the honour of having the Weibull distribution named after him.
Weibull Analysis is used to analyse historical failure data and produces failure distributions that we use during a system simulation.
The Weibull Analysis module of Availability Workbench analyses historical failure and repair data by assigning probability distributions which represent the failure or repair characteristics of a given failure mode.
The failure distribution assigned to a given set of times to failure (known as a Weibull set) may be assigned to locations in the RCMCost location hierarchy or failure models in the AvSim module.
The Weibull Analysis Module analyses times-to-failure and time-to-repair data using the following distributions:
1-Parameter Weibull Distribution
2-Parameter Weibull Distribution
3-Parameter Weibull Distribution
I have included a recorded webinar giving a general Webull overview. We of course do not go into detail on the formulas used. If you would like additional information please contact me: email@example.com
Secret might be the wrong word to use here, it could be a matter of just asking myself or technical support the right questions. Even if you’ve been using Reliability Workbench, Availability Workbench, AttackTree+, or Network Availability Prediction for years, you’re probably still finding new features and tips and tricks to help you out in the software. Maybe one day you discovered a time-saver and thought to your self “what else can this software do to make my day easier?”
While there are plenty of helpful features in Isograph’s software to make your day easier, perhaps none is so powerful, incredibly useful, and so under-utilized as Plugins and the DLL. These features allow you to extend the power of Reliability Workbench, Availability Workbench, Attack Tree, and NAP tools to absurd heights. From creating macros for accomplishing tedious tasks, to automating fault tree construction, and even adding new features to the software that we haven’t even thought about, the Plugins and DLL can do it.
As always if you have any questions or need additional information on our products please feel free to contact me
801 610 0045