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break free
of the random trap.pdf
We’ve all heard from reliability experts that the “bathtub curve” – the
poor, misunderstood bathtub curve – fails to accurately reflect a
machine’s failure rate as a function of time. While there is much truth
in the premise, there is more to the story, and gaining a true
understanding about the relationship between failure rate and time can
set you on your way to breakthrough reliability improvements. (3 pages) |
coping with the complexity of product manufacturing.pdf (2 pages) |
SAFETY OF
VENTILATOR PATIENTS.pdf
UTILIZATION OF A FAILURE MODE EFFECTS ANALYSIS (FMEA) TO EVALUATE THE
SAFETY OF VENTILATOR PATIENTS IN A NON-ICU SETTING (2 pages) |
an introduction to sociotechnical probabilistic risk modelling in health
care.pdf
Assessing patient safety risk before the injury occurs: an introduction
to sociotechnical probabilistic risk modelling in health care (14 pages) |
intravenous
drug infusions FMEA.pdf
Design of a safer approach to intravenous drug infusions FMEA (15 pages) |
safety in the production of paediatric parenteral nutrition.pdf
Use of a systematic risk analysis method to improve safety in the
production of paediatric parenteral nutrition solutions (12 pages) |
FMEA and RCA the mantras of modern risk management.pdf
FMEA and RCA: the mantras of modern risk management (5 pages) |
Designing in quality through design control a manufacturers
perspective.pdf
Designing in quality through design control a manufacturer's perspective
(14 pages) |
mackel1.pdf
Software FMEA Opportunities and benefits of FMEA in the development
process of software-intensive technical systems (6 pages) |
COMPUTER-AIDED SOFTWARE
FMEA
The computer-aided software FMEA discussed in this paper can be the
central organizing element for the verification and validation (V&V) of
embedded software for real-time systems. The adoption of this technique
provides large economic benefits because V&V frequently consumes the
majority of the development resources for embedded software. |
Failure Modes and
Effects Analysis (FMEA): A Bibliography
Failure modes and effects analysis (FMEA) is a bottom–up analytical
process which identifies process hazards. This bibliography contains
references to documents in the NASA Scientific and Technical Information
(STI) Database. The selections are based on the major concepts and other
NASA Thesaurus terms, including ’failure analysis.’ An abstract is
included with most citations. Items are first categorized by 10 major
subject divisions, then further divided into 76 specific subject
categories, based on the NASA Scope and Subject Category Guide. The
subject divisions and categories are listed in the Table of Contents
together with a note for each that defines its scope and provides any
cross-references. Two indexes, Subject Term and Personal Author are also
included. The Subject Term Index is generated from the NASA Thesaurus
terms associated and listed with each document. |
Failure Modes
and Effects Analysis (FMEA): A Special Bibliography from the NASA STI-program
This bibliography contains references to documents in the NASA
Scientific and Technical Information (STI) Database. |
Failure
mode and effects analysis (FMEA) and development of an algorithm to
assess reliability and availability of the RIA driver linac
The RAMI (reliability, availability, maintainability, and inspectibility)
& FMEA studies for the RIA facility to date include: utilization of two
approaches, those of the NLC/SLAC and the APT/LANL/AES. Significant
effort has been invested to employ the NLC/SLAC method, collection of
reliable data, creation of two models, ATLAS ECR, and RIA Front End, and
initial studies for an optimization code |
MEDICATION ERRORS :
Failure Mode and Effects Analysis Can Help Guide Error-Prevention
Efforts
Too often, marketing efforts, contractual agreements with purchasing
groups or vendors, and costs serve as primary sources of information
when decisions are being made about which medical products to purchase
and use. Evaluation and input from users of the products are not always
sought, and the potential for errors might not be considered ahead of
time. Later, these omissions can lead to unforeseen problems in the
hands of clinical users. A process known as failure mode and effects
analysis (FMEA) can be used to help avoid these pitfalls. |
Challenges for Qualitative
Electrical Reasoning in Automotive Circuit Simulation
Qualitative reasoning about electrical systems has reached a level of
achievement which allows it to be used for applications on realistic
automotive circuits. The type of circuits for which it is most effective
can be characterized as circuits with a single steady state for each
combination of inputs. Many automotive circuits with more complex
overall behavior can be approximated using this type of modeling by
representing the behavior of more complex components
only at a functional level, or by judicious use of simplifying
assumptions. This paper will consider examples of circuitry in modern
cars where such approximations of behavior are unsatisfactory, and will
examine the modeling issues that are thrown up by these cases, in order
to identify challenges for qualitative electrical reasoning against
which future advances in the field can be assessed. |
Effortless Incremental
Design FMEA
Design FMEA of electrical systems is a costly and labour intensive
process. Ideally it would be done when the electrical system is first
designed, and repeated whenever any change is made to the design.
Because of the cost, this has not been possible in the past. This paper
describes about how an existing tool for automating electrical design
failure mode and effects analysis (FMEA) can be augmented to make
incremental design FMEA much less of a burden for the engineer. The tool
is able to generate the effects for each failure mode and to assign
significance values to the effects. The first time that it is run on a
design, the engineer still has quite a lot of work to do, examining the
results and deciding what actions need to be taken because of the FMEA.
When a change is made to the circuit, the engineer runs the FMEA tool
again and receives a new report. Because of the uniformity of the
reports provided by the FMEA tool, it has proved possible to write
software which sorts out the failure effects which have changed from the
previous analysis and only report those results to the engineer. This
makes examination of the repercussions of the incremental FMEA much less
effort for the engineer, and makes it feasible to perform an incremental
FMEA every time the design is amended. |
Using Failure Mode Effect
Analysis (FMEA) to Improve Service Quality
Service companies must be able to face the challenge to offer error-free
services to their customers. According to Service definition, the
customer is always present during the processes and delivery of the
service . If something goes wrong it will happen in the presence of the
customer . This article shows the use of FMEA as a prevention tool in
the services offered by a Medical Clinic restaurant. A group of
employees was trained in prevention tools, they designed the process
map, identified the critical points and applied the FMEA method in order
do prevent any failure during the services operation. The first results
indicated that all the actions implemented were really effective in
preventing errors. |
Automatic Generation of a
Diagnostic Expert System for FMEA information
(on screen view only) |
FIELD DEMONSTRATION
WORKSHOP ON PERFORMANCE-BASED INSPECTION OF VESSELS ENTERING THE ST.
LAWRENCE SEAWAY (Establishing Specific Inspection Plans)
This report illustrates the use of fault tree analysis and failure modes
and effects analysis (FMEA) for systematically identifying applicable
and effective inspection tasks that should be included in Enhanced
Seaway Inspections (ESIs) for Priority 1 vessels. (A separate report
documents the results of another risk based decision-making workshop
that addressed how to more effectively determine which vessels should be
classified as Priority 1 and subsequently boarded by U.S. Coast Guard
[Coast Guard] inspectors.) Representatives from the Coast Guard’s Marine
Safety Office Buffalo, Marine Safety Detachment Massena, and Research
and Development Center, as well as those from the St. Lawrence Seaway
Development Corporation, the St. Lawrence Seaway Management Corporation,
and EQE International, Inc. (EQE), teamed to address this topic. |
Incorporating a user-focused
failure modes and effects analysis-like technique into the design of
safety critical systems
Failure Modes and Effects Analysis (FMEA) has long been a core part of
the hazard analysis procedures conducted in the design of
high-reliability or safety-critical hardware systems. More recently, it
has been applied to the analysis of software functions to examine the
effects of failures in software. However, approaches that account for
operator behaviour as a determinant of overall system safety have not
been developed to the same degree, and the effect of the operator on
system "safety" is often handled in an ad-hoc manner with little rigour.
In this paper we propose an FMEA-like approach by analysing the
interaction between operator and device. We discuss how such an approach
would fit into current hazard and safety analysis procedures, develop
the approach using a model of user behaviour that originates from work
in cognitive science, and demonstrate how this could be used by working
through an example analysis based on a real-world system |
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