The Network Availability Prediction program enables users to predict the availability and reliability of communication networks. The Network Availability Prediction network block diagram model utilizes an extended Reliability Block Diagram (RBD) methodology that addresses the specific characteristics of network elements and their connections.
• Create clear, concise diagrams
• Model complex networks
• Import/export facilities to databases and spreadsheets
Our software has been in continuous development since the 1980s and is the recognized standard for safety and reliability professionals.
Why choose Isograph's NAP?
Model Complexity
Complex or simple networks may be modeled using Network Availability Prediction.Individual network element diagrams have been extended beyond traditional RBDs to allow users to model multiple interfaces and their interactions with common equipment Read More…
Clever Pathfinder
Network Availability Prediction will then automatically determine the allowable paths between a source and target, and hence determine the minimal cut sets that determine the availability of the network.
Time Saving
Network Availability Prediction provides many time-saving features to allow users to quickly construct the network diagram. These include a parts library facility that allows users to import their parts data in convenient groupings.
Why choose Isograph?
Our Credentials
Isograph’s software is used in over 1900 companies, across 12,000 sites in 75 countries. We have software certifications with SAP and are IBM Business Partners.
Premium Support
With support engineers located in the United Kingdom and the United States with same day response times our support is second to none.
Industry Standards
Our software complies with recognised standards, including but not limited to ISO 26262, IEC 61508, AIAG & VDA, ISO 21434, ARP 4761, SN29500, IEC 61709, FIDES, DO-356 and ED-203.
Development
Our software has been in continuous development since 1986 with upgrades and features driven by users and industry standards.