AML Analyser Management is a system that monitors, evaluates, and improves the performance of online and offline analyzers in a cost-effective manner. It automatically collects real-time data from analyzers and manually entered data to interpret analyzer performance, provide maintenance guidance, and support periodic validation processes. Control charts and statistical analysis are used to monitor accuracy, precision, and validate performance against standards. The system also tracks maintenance activities and operational states to calculate availability and reliability metrics for analyzers.
I wrote this eBook for a software client based on the appropriate persona, available technical materials and interviews with internal subject matter experts. The client used this eBook for their content marketing lead generation campaigns targeted to international manufacturers.
Dynamic data processing tools to minimize time spent on chromatogram review and integration (Dynamic Data Linking, SmartLink, Cobra, SmartPeaks).
Learn more about our chromatography data system Chromeleon: http://www.thermoscientific.com/en/about-us/general-landing-page/chromeleon-resource-center.html?ca=chromeleon
I wrote this eBook for a software client based on the appropriate persona, available technical materials and interviews with internal subject matter experts. The client used this eBook for their content marketing lead generation campaigns targeted to international manufacturers.
Dynamic data processing tools to minimize time spent on chromatogram review and integration (Dynamic Data Linking, SmartLink, Cobra, SmartPeaks).
Learn more about our chromatography data system Chromeleon: http://www.thermoscientific.com/en/about-us/general-landing-page/chromeleon-resource-center.html?ca=chromeleon
Alrasmayat’s Laboratory Management Software is cost-effective and easy to implement. It covers all functions that are necessary for automating all laboratory functions. Through this software it is easy to concrete on business performance by managing and organizing data.
How to used an automatic method for the execution of a Failure Mode, Effects and Criticality Analysis (F.M.E.C.A). The F.M.E.C.A is carried out based on the F.M.E.A approach reported by Bull, Stecki, Edge and Burrows [1] in 1997 and by Stecki [2] in 1998 combined with a Markov analysis in order to obtained complete F.M.E.C.A. Linear Graph Theory, is introduced in order to achieve an automated assembly of the governing differential equations needed for the Markov analysis.
The purpose of "stress" screening such as environmental stress screening (ESS) or highly accelerated stress screening (HASS) is to precipitate failures in weak or defective populations using some load (stress) condition(s) without reducing the required useful life of the product
Acusera 24.7 is an interboratory data management software capable of automatically calculating measurement of uncertainty and six-sigma. With real time peer group updates and user friendly comprehensive charts and reports including Levey Jennings and histograms, our Acusera 24.7 software is now smarter, faster and more efficient than ever before!
Alrasmayat’s Laboratory Management Software is cost-effective and easy to implement. It covers all functions that are necessary for automating all laboratory functions. Through this software it is easy to concrete on business performance by managing and organizing data.
How to used an automatic method for the execution of a Failure Mode, Effects and Criticality Analysis (F.M.E.C.A). The F.M.E.C.A is carried out based on the F.M.E.A approach reported by Bull, Stecki, Edge and Burrows [1] in 1997 and by Stecki [2] in 1998 combined with a Markov analysis in order to obtained complete F.M.E.C.A. Linear Graph Theory, is introduced in order to achieve an automated assembly of the governing differential equations needed for the Markov analysis.
The purpose of "stress" screening such as environmental stress screening (ESS) or highly accelerated stress screening (HASS) is to precipitate failures in weak or defective populations using some load (stress) condition(s) without reducing the required useful life of the product
Acusera 24.7 is an interboratory data management software capable of automatically calculating measurement of uncertainty and six-sigma. With real time peer group updates and user friendly comprehensive charts and reports including Levey Jennings and histograms, our Acusera 24.7 software is now smarter, faster and more efficient than ever before!
Acusera 24.7 Interlaboratory Data Management - June 17 LT244Randox
Acusera 24.7 Live Online version 2.0 is here! Faster, smarter and more efficient than ever before, this interlaboratory data management program will be sure to help streamline internal QC in all laboratories regardless of size.
Seven tools of quality control.slideshareraiaryan448
7 tools of quality control help identify potential problem root cause and then target them for improvements and process optimization. These are widely used in all kind of manufacturing industries along with service industry as well.
Maintaining Quality Control in Lab Operations - Strategy and Impact.pptxMocDoc
Learn how to implement effective quality control strategies in laboratory operations and understand the impact it can have on your organization's success. Read on to discover the best practices and techniques for maintaining high-quality standards in your lab operations.
The preventive maintenance program is developed using a guided logic approach and is task oriented rather than maintenance process oriented. This eliminates the confusion associated with the various interpretations across different industries of terms such as condition monitoring, on condition, hard time, etc. By using a task oriented concept, it is possible to see the whole maintenance program reflected for a given item. A decision logic tree is used to identify applicable maintenance tasks. Servicing and lubrication are included as part of the logic diagram as this ensures that an important task category is considered each time an item is analyzed.
Maintenance Program Content
The content of the maintenance program itself consists of two groups of tasks.
• A group of preventive maintenance tasks, which include failure-finding tasks, scheduled to be accomplished at specified intervals, or based on condition. The objective of these tasks is to identify and prevent deterioration below inherent safety and reliability levels by one or more of the following means:
o Lubrication/servicing;
o Operational/visual/automated check;
o Inspection/functional test/condition monitoring;
o Restoration;
o Discard.
It is this group of tasks, which is determined by RCM analysis, e. it comprises the RCM based preventive maintenance program.
• A group of non scheduled maintenance tasks which result from:
• Findings from the scheduled tasks accomplished at specified intervals of time or usage;
• Reports of malfunctions or indications of impending failure (including automated detection).
The objective of this second group of tasks is to maintain or restore the equipment to an acceptable condition in which it can perform its required function.
An effective program is one that schedules only those tasks necessary to meet the stated objectives. It does not schedule additional tasks that will increase maintenance costs without a corresponding increase in protection of the inherent level of reliability. Experience has clearly demonstrated that reliability decreases when inappropriate or unnecessary maintenance tasks are performed, due to increased incidence of maintainer-induced faults.
Continued...
GenesisLab360, a laboratory information management system (LIMS), the strongest and more flexible LIMS/LIS Platform that is tailored not only to manage an organization´s laboratory information but to provide an integrated informatics solution and platform that allow for outstanding laboratory capabilities for workflow management, optimizing productivity and operating cost with increasing quality.
Ctrl Vision is a module for monitoring and managing incoming and outgoing production quality levels. Based on ISO2859 and ISO3951 quality standards, Ctrl Vision allows you to confidently accept or reject production batches using proven data driven methods.
These ready to use LIMS are designed for versatility, security, accessibility ensuring any time connectivity over
a secure web network interface, cross platform and cross database compatibility with customization
possibilities. Well established research organizations and laboratories choose to implement enterprise edition
of LIMS after a lot of deliberation and for a bunch of good reasons
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Aml analyser management (bro101 pe)
1. AML Analyser Management
Reliable measurements from analyser systems are the foundation for
efficient and effective operation of a plant, regardless whether online laboratory or field analysers are used. Analyser systems require
frequent validation and maintenance in order to meet performance
requirements. AML Analyser Management provides the
infrastructure for managing and maintaining analysers in the field
and in the laboratory with a minimum of resources. AML Analyser
Management is not a replacement for “LIMS”, but serves as a
harmonizing platform between analysers in the field, in the
laboratory and if used the “LIMS”.
AML Analyser Management
AML Analyser management is a system to monitor,
evaluate and improve the performance of on– and
offline analysers in a cost-effective manner. It
automatically collects real-time data from analysers
by direct readout or via the plant control system,
collects manually-entered data, interprets analyser
performance and provides guidance for maintenance.
Next to this AML Analyser Management can be used in
the periodic validation process of critical process
measurements, such as fiscal metering points and
safety related measurements.
Analytical Performance
Analyser performance is monitored, validated and
controlled by statistical process control methods.
Validation is the process of confirming actual analyser
performance against traceable and accepted
standards and is a non-corrective metrological
procedure.
Test on Systematic Errors (Student’s T-test)
Test on Variance (F-test)
Test on Reproducibility Rate
Using one of these methods, the person responsible
for assuring correct quality measurements, can clean
up data before the analyser performance is
determined using the control charts.
Control Charts
The control chart is a tool used to determine whether
an analyser measurement is in a state of statistical
control or not. AML Analyser Management provides
five types of control charts for monitoring accuracy
and precision:
Individuals Chart (monitoring accuracy)
Moving Range Chart (monitoring precision)
Mean Chart (monitoring accuracy)
Range Chart (monitoring precision)
Standard Deviation Chart (monitoring precision)
AML Analyser Management provides support for six
validation methods that can be executed manually or
(semi-)automatically:
Reference Sample Method
Line Sample Method
Reference Measurement Method
Filter Method
Response Time Method
Timed Response Method
Validation scripts are configured with Java, Function
Blocks or Sequential Function Charts.
Significance Tests
A sufficient level of integrity of the validation data is
required for further performance evaluation.
Erroneous data (e.g. caused by defective equipment)
should be rejected from the data set and not be used
for further testing. AML Analyser Management offers
a set of most commonly used significance tests:
Test on Outliers (ASTM-E178, Dixon, Grubbs)
Test on Non-Randomness
AML Analyser Management makes use of the VDISoft
Analytics library, a .NET version of QC Charter.
Decision Rules
The performance of an analyser is evaluated by
interpreting the control charts. Decision rules are
functions that help to detect special cause variation
in the validation data of control charts.
AML
Analyser Management, Metering & Loading
2. Rule violations are recorded in the central event
table:
Single result plots outside the control limits
Two out of three consecutive results plot outside
the warning limit
Four out of five consecutive results plot outside
half the warning limit
Eight or more consecutive results on one side of the
centre line
The difference between eight consecutive results
have the same sign (trend detection)
Maintainability
AML Analyser Management provides an indispensable
set of functions to monitor and control the
maintainability of analysers:
Recording Maintenance Activities
Scheduler (planning Automatic Validations and
Maintenance Activities)
Online Access to Documents (Procedures,
Datasheets, vendor documentation, etc.)
Availability
The availability of analysers is monitored and
controlled by keeping track of the operational state
of each analyser and calculating the time rated
performance indicators.
Operational States
A set of the most common operational states is
supported by AML Analyser Management. This set can
be adjusted to customer requirements:
NORMAL
MAINTENANCE
CHECKING
BREAKDOWN
OUT OF USE
Time Rated Performance Indicators
AML Analyser Management calculates time rated
performance indicators for each analyser in realtime. The review period for the performance
indicators is user-configurable:
Availability Rate [%]
Checking Rate [%]
Breakdown Rate [%]
Reproducibility Rate [%]
Benefit
Events and Reports
Alarms and events are recorded in the central
database of AML Analyser Management. Urgent events
need acknowledgement from the user who is notified
by a flashing indicator in the header of the Graphical
User Interface.
Allows for single authority/responsibility for field
and laboratory analysers
Reduced cause for arguments on quality readings,
increased trust in analyser results
Manpower savings by preventing unneeded analyser
maintenance in laboratory and field
Possibly reduction of staffing in the quality control
laboratory
Reduced variability of laboratory procedures
(by instructions and checkpoints)
Reduced quality giveaway, resulting from higher
confidence limits
Web based, meaning access anywhere by authorised
persons
Platform independent
No license costs
AML Analyser Management offers a set of predefined
reports that can be exported to various formats, e.g.
HTML, PDF, CSV, Excel. These reporting formats are
also the basis for integrating AML Analyser
Management with a higher level “LIMS” package.
Hint
De Netelhorst 4
8051 KE Hattem
The Netherlands
T. +31 38 4432300
F. +31 38 4432301
E. info@hint.nl
I. www.hint.nl
Hint Americas Inc.
5177 Richmond Avenue
Suite 725
TX 77056 Houston—Texas
United States of America (USA)
T. +1 713 701 1951
E. info@hint-usa.com
I. www.hint-usa.com
Analyser Management, Metering & Loading
BRO101PE1309
AML