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Products Software Calibration Interval Analysis Program Features
IntervalMAX 2.0 Program Features
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IntervalMAX 2.0 is the most comprehensive calibration interval analysis program available. It computes calibration intervals that are consistent with predetermined reliability targets. All computations are based on test or calibration service history and employ advanced statistical and measurement reliability techniques that have been developed over twenty years of theoretical research, coupled with practical experience. The result of these efforts are optimal methodologies for data analysis and calibration interval prediction. This guarantees that the computed calibration intervals are not only the best attainable, but are also arrived at with minimum expense and execution time. IntervalMAX 2.0 runs in Windows 95, 98, 2000, ME, NT, XP, 7, 8 and 10 operating systems.
Software details are listed below. Print quality product brochure and program features files are available in Adobe Acrobat pdf format via the hyperlinks below. To view these documents, you will need Acrobat reader 6.0 or higher. Click Acrobat Reader to download a free copy. To download the product files directly to your computer, right-click the appropriate link and select Save Target As.
Key Features Product Brochure Data Import-Export Guide
Details and Screen Shot Links
State-of-the-Art Analysis
Incorporates Methods S2 and A3 documented in NCSLI RP-1.
Utilizes reliability models that cover all types of test and
measurement equipment.
Adjusts calibration intervals to meet specified reliability
targets.
Uses
efficient algorithms to produce correct calibration
intervals in the shortest amount of time at minimum expense.
Practical User Interface
All
IntervalMAX functions and features are accessed from the
Main Screen.
The
Analysis Parameters Screen provides a convenient way to
set technical and administrative analysis criteria, controls
and options.
All
screens have access to a full-featured
On-line Help with content, index and search
capabilities for over 550 topics.
Multi-Level Calibration Interval Analysis
Calibration intervals can be determined for Instrument
Classes, Similar Equipment Groups, Instrument Model Numbers,
Instrument Serial Numbers, and Systems.
Calibration intervals can be computed for items with sparse
data by pooling data within Classes and Groups defined via the
Class Code Builder and
Similar Equipment Group Builder.
Calibration intervals can be determined for multi-component
Systems defined via the
System Builder. Component intervals can be adjusted
to meet individual reliability targets or an overall system
target. Several recall options are available including
stratified calibration, where recall cycles are adjusted to
optimize both logistics and reliability.
Outlier Identification
IntervalMax automatically identifies significantly bad or good
performers (dogs and gems).
Items
identified as dogs and/or gems can be reviewed on the
Serial Number Dogs/Gems Report.
Model
Number dogs and gems are also identified for Class and Group
Level Analyses. Results can be reviewed on the Model
Number Dogs/Gems Report.
Suspect activities, whose mean times to out-of-tolerance are
significantly higher or lower than the norm, can be identified
for common workloads or inventories.
Cost/Benefit Analysis
The
impact of implementing recommended intervals on workload and
cost can be assessed via the
Calibration Interval Impact Report.
Default workload and cost data can be specified via the Costs
tab on the Analysis Parameters Screen.
More
detailed workload and cost data can be specified by
manufacturer/model via the
Cost Variables Screen.
Detailed Analysis Results
Several
Analysis Screens are available for viewing intervals,
reliability targets and other related information for
different Analysis Levels.
The
Analysis Details Screen provides both graphical and
tabulated information regarding service history data and
analysis results for the selected Analysis Level.
Statistical information for selected reliability models are
displayed on the
Model Fit Parameter Data Screen.
Built-in Cumulative History Database
IntervalMAX establishes calibration intervals through analysis
of test/calibration history maintained in the Cumulative
History Database.
Several
Browse Screens are available for viewing information
for different Analysis Levels.
Various database cleanup functions provide useful tools for
maintaining the cumulative history data.
Data Import/Export
Test
or calibration service history data can be imported into the
IntervalMAX database from external sources. Import
connections for a variety of database, spreadsheet and other
external file formats are defined and stored using the
Import Configuration and
Edit Import Profile screens. Imported data are automatically screened for potential
data conflicts and duplicate records.
Data conflicts are flagged and re-identification
diagnostics and editing screens are activated for making
corrections.
Duplicate records are automatically omitted.
Calibration interval analysis results can be exported to an
external database via the
External Interval Assignment Screen. Export connections
are defined and stored using the
External Interval Assignment Setup Screen.
Comprehensive Analysis Reports
The
analysis reporting capability encompasses a wide range of
management objectives. Available
reports are listed below. Hyperlinks have been added to
selected reports for viewing.
Instrument Class Interval Report
Model Number Dogs/Gems
All
reports can be viewed, printed and exported to external files.
Advanced Features
Analyses can be run for specified combinations of users, service
date ranges, manufacturers, model numbers, classes, etc.
User
specified reliability model parameter constraints can be set and
stored via the
Initialize Parameter Constraints Screen.
Parameters, the variance-covariance matrix and summary
statistics for each reliability model that was fit to the
resubmission time series data can be viewed on the
Model Fit Parameter Data Screen.
Users
can accept recommended reliability model fits or select from a
variety of reliability models. All reliability model fits
are the result of maximum likelihood estimation.
Reliability models are automatically tested statistically for
goodness-of-fit and are selected on the basis of both
statistical and cost considerations. |
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Integrated Sciences Group
14608 Casitas Canyon Road • Bakersfield, CA 93306
Phone 1-661-872-1683 • FAX 1-661-872-3669
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Page Updated February 06, 2018