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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)
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)
Software FMEA Opportunities and benefits of FMEA in the development process of software-intensive technical systems (6 pages)
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)
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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