|System interface for data capturing from exiting internal/external infrastructures||√|
|Secure system - proven compliance with defence organizations' requirements|| √
|Web based - Web access across multiple sites worldwide (all you need is a browser)|| √
|Data processing capabilities for partitioning data set into user defined projects|| √
|Data recorded among various projects will be linked for future analysis|| √
|Supports unlimited number of users/projects|| √
|Users/groups have appropriate privileges/authorities (screen view/data modification, import/export) according to clients' definition|| √
|Analysis capabilities to identify trends, root cause, MTBF, MTTR as well as connectivity to FMECA, and other reliability calculations|| √
|Provides alerts/notifications, according to user defined "trigger points"|| √
|Supports FRB activities by flagging significant events and tracking corrective actions to closure|| √
|Highly flexible to allow for user defined report metrics, data workflow, forms, fields etc|| √
|Satisfies common project certification requirements (FRACAS configuration control, SMS, ISO etc.)|| √
|System can interface with existing Reliability toolkit for RAMS analysis reporting|| √
Each individual event/incident/Non conformance or failure within the database can be associated ("connected") to a certain issue.
Issues are defined a systematic problem of repeated events or event with substantial impact, which requires an investigation and implementation of corrective action.
FavoWeb FRACAS System supports 8D methodology in its investigation protocol into issue's root cause.
By utilizing FavoWeb's Corrective Action module, the user can invite participations to the FRB/MRB meeting, list issues for discussion, assign action items and follow up on Corrective/Preventive Action implementation and effectiveness.
This interactive tool allows the authorized users to view concise real-time information such as trend analysis, failure distribution / pareto, MTBF level and correlations.
FavoWeb Dashboard helps decision makers to analyze trends, safety, availability, system status and grasp more than one dimension in one look.
The tool's "drill down" capabilities allow the user to look/investigate metrics and data outputs.
The module is customizable and therefore can be tailored according to customer's specifications.
FavoWeb is well integrated with existing OLAP based tools (both SQL Server and Oracle based).
FavoWeb FRACAS Dashboard Features:
• Alerting mechanism
• One look general view
• OLAP methodology
• Implemented on NET. Platform (no ActiveX)
Alert Module enables automated sending of messages to relevant professionals according to pre-defined "trigger points".
Example of such "trigger points" includes (but not limited to):
b. The due date of a certain action has passed – the relevant individual will receive an alert message.
c. The condition of a certain tool has reached an "abnormal" level (3 occurrence over a short period of time, or a high/low MTBF level etc.) – an alert will be sent (along with an attachment of the report) to the relevant individuals.
d. An incident has occurred during off-hour in the plant - a message will be sent to alert relevant people.
FavoWeb FRACAS Alerts allows creating an unlimited number of user-defined criteria for alerts and notification issuing.
FavoWeb Alerts Module plays a crucial part in the overall safety and efficiency of any process.
System / SN Traceability Module
All installed systems and sub-systems can be recorded with their respective serial numbers and LRU assemblies.
The module allows for systems usage data (clocks / meters) to be defined and their readings to be collected for future analysis over a certain timeline or usage metric (engine hours, Km, transition hrs., operation hours etc.). This information is crucial for accurate reliability calculations such as MTBF, Reliability Growth etc.
The module also serves for tracing an installation history of each serial number/system.
System and sub system information can be entered manually through FavoWeb GUI or imported form external database.
Most analysis is based on Weibull distributions.
The warranty claim database is a key tool in the deployment of a warranty plan/policy, which examines extended warranty scenarios.
• Make analysis to predict failure trends (Weibull curves) with associated costs
• Compare analysis made on different products, in different countries
• Have reliable quality data to be used as references for the development of new technologies
• Improve and simplify the management of warranty data towards customers or suppliers
• Trace action plan to solve the warranty problems
• Improve the reporting streamlining and cross information analysis
• Support the deployment of the ”Reliability” culture in the organization
Failure Reporting Software/Failure Data Collection
ALD Reliability and Safety Software Overview
Reliability&Safety Analysis Software Download
ALD Reliability, Safety and Quality Services