The Function-Human Error Design Method (FHEDM)

2018 ◽  
Author(s):  
Nicolás F. Soria Zurita ◽  
Robert B. Stone ◽  
Onan Demirel ◽  
Irem Y. Tumer
Keyword(s):  
Human Error ◽  
Failure Modes ◽  
Design Method ◽  
Human Interaction ◽  
Human Errors ◽  
Minimum Number ◽  
Potential Failure ◽  
Human Function ◽  
Product Interaction ◽  
Novel Design

During the design of products and systems, engineers must quickly and accurately satisfy customer needs while adequately developing the required system functions with the minimum number of failures. Identifying potential failure modes during early design stages is essential to create reliable designs. Different engineering methodologies such as Failure Modes and Effects Analysis (FMEA), allows engineers to identify how a set of components could fail. These methods are popular and commonly used in industry. However, such methodologies fail to recognize potential failure modes caused by human-product interaction. During the design of products, there is often a lack of sufficient attention to the human-product interaction. Even though human factors are considered during the design process, most of the design approaches fail to incorporate the human interaction correctly. In this research, we explore the implementation of a novel design methodology named Function-Human Error Design Method (FHEDM), which identifies possible generic human errors while completing a functional decomposition of the product. This method will provide engineers with useful information about potential failure modes caused by human-function interaction during early conceptual design.

The Function-Failure Design Method

2004 ◽  
Vol 127 (3) ◽  
pp. 397-407 ◽  
Author(s):  
Robert B. Stone ◽  
Irem Y. Tumer ◽  
Michael Van Wie
Keyword(s):  
Product Development ◽  
Failure Analysis ◽  
Product Design ◽  
Conceptual Design ◽  
Design Methodology ◽  
Failure Modes ◽  
Design Method ◽  
Customer Needs ◽  
Minimum Number ◽  
Novel Design

To succeed in the product development market today, firms must quickly and accurately satisfy customer needs while designing products that adequately accomplish their desired functions with a minimum number of failures. When failure analysis and prevention are coupled with a product’s design from its conception, potentially shorter design times and fewer redesigns are necessary to arrive at a final product design. In this article, we explore the utility of a novel design methodology that allows failure modes and effects analysis (FMEA)-style failure analysis to be conducted during conceptual design. The function-failure design method (FFDM) guides designers towards improved designs by predicting likely failure modes based on intended product functionality.

scholarly journals A Case Study on Improving Intensive Care Unit (ICU) Services Reliability: By Using Process Failure Mode and Effects Analysis (PFMEA)

2016 ◽  
Vol 8 (9) ◽  
pp. 207 ◽  
Author(s):  
Taraneh Yousefinezhadi ◽  
Farnaz Attar Jannesar Nobari ◽  
Faranak Behzadi Goodari ◽  
Mohammad Arab
Keyword(s):  
Intensive Care ◽  
Human Error ◽  
Failure Modes ◽  
Classification Model ◽  
Group Discussions ◽  
Team Members ◽  
Acceptable Risks ◽  
Process Failure ◽  
Potential Failure ◽  
Fmea Method

<p><strong>INTRODUCTION:</strong> In any complex human system, human error is inevitable and shows that can’t be eliminated by blaming wrong doers. So with the aim of improving Intensive Care Units (ICU) reliability in hospitals, this research tries to identify and analyze ICU’s process failure modes at the point of systematic approach to errors.</p><p><strong>METHODS:</strong> In this descriptive research, data was gathered qualitatively by observations, document reviews, and Focus Group Discussions (FGDs) with the process owners in two selected ICUs in Tehran in 2014. But, data analysis was quantitative, based on failures’ Risk Priority Number (RPN) at the base of Failure Modes and Effects Analysis (FMEA) method used.<strong> </strong>Besides, some causes of failures were analyzed by qualitative Eindhoven Classification Model (ECM).</p><p><strong>RESULTS:</strong> Through<strong> </strong>FMEA methodology, 378 potential failure modes from 180 ICU activities in hospital A and 184 potential failures from 99 ICU activities in hospital B were identified and evaluated. Then with 90% reliability (RPN≥100), totally 18 failures in hospital A and 42<strong> </strong>ones in hospital B were identified as non-acceptable risks and then their causes were analyzed by ECM.</p><p><strong>CONCLUSIONS</strong>: Applying of modified PFMEA for improving two selected ICUs’ processes reliability in two different kinds of hospitals shows that this method empowers staff to identify, evaluate, prioritize and analyze all potential failure modes and also make them eager to identify their causes, recommend corrective actions and even participate in improving process without feeling blamed by top management. Moreover, by combining FMEA and ECM, team members can easily identify failure causes at the point of health care perspectives.</p>

Computational Methods to Predict and Avoid Design Failure

2005 ◽  
Author(s):  
Brian A. Mitchell ◽  
Daniel A. McAdams ◽  
Robert B. Stone ◽  
Irem Y. Tumer
Keyword(s):  
Failure Modes ◽  
Design Method ◽  
Component Failure ◽  
Initial Validation ◽  
Component Selection ◽  
Previous Design ◽  
Potential Failure ◽  
Design Projects ◽  
The Impact ◽  
Initial Results

Component selection can be a difficult task for designers, and the components they choose can have a large impact on the robustness of the design. Using previous methods to predict and identify potential failure modes, known as the function-failure design method (FFDM), the impact on failure of selecting a particular component over another can be explored based on failure results from previous design endeavors using the same component. This assists designers in selecting the component that is best suited for the application. Since the predicted distribution of failure modes changes depending on the selected component, failure reduction is possible through component selection. Through this method of component selection, risk can be decreases and potential failures can be eliminated. Experiments based on undergraduate student competition design projects are presented to illustrate this method’s ability to predict failure modes. Initial results indicate that the predictions are accurate and meaningful to designers. The experiment also serves as initial validation previous work in the area of failure prediction.

Identification of Human–System Interaction Errors During Early Design Stages Using a Functional Basis Framework

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Nicolás F. Soria Zurita ◽  
Robert B. Stone ◽  
H. Onan Demirel ◽  
Irem Y. Tumer
Keyword(s):  
Design Process ◽  
Human Error ◽  
Failure Modes ◽  
Composite Function ◽  
Human System ◽  
Early Design ◽  
Functional Basis ◽  
Potential Failure ◽  
Early Design Stages ◽  
Criticality Analysis

Abstract Engineers have developed different design methodologies capable of identifying failure modes of engineering systems. The most common methods used in industry are failure modes and effects analysis, and failure modes effects and criticality analysis. Nevertheless, such methodologies have a significant limitation regarding incorporating the final user in the analysis and are not suited to identifying potential failure modes caused by physical human–system interactions. Engineering methods usually have a lack of sufficient attention to human–system interactions during the early design stages, even though introducing human factors principles is recognized as an essential analysis during the design process. As a result, designers rely on developing detailed and expensive physical or virtual prototypes to evaluate physical human–system interactions and identify potential failure modes caused by such interactions incorporating design modifications after a prototype is developed can be time-consuming, costly, and if significant changes are needed, the entire prototype requires to be constructed again. Identifying system–user interactions and possible failure modes associated with such interactions before developing a prototype can significantly improve the design process. In previous work, the authors introduced the function–human error design method (FHEDM), a tool capable of distinguishing possible human–system interaction failure modes using a functional basis framework. In this work, we examined the implementation of FHEDM within 148 products extracted from the design repository. The results are grouped in the composite function–user interaction error (FUIE) matrix, which can be used as a preliminary design database presenting information regarding the possible human error present in function-flow combinations.

The Intersection of Advancing Technology and Human Performance

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Jonathan K. Corrado
Keyword(s):  
Human Factors ◽  
Human Error ◽  
Human Performance ◽  
The United States ◽  
Human Interaction ◽  
Advanced Technology ◽  
Nuclear Facilities ◽  
Human Errors ◽  
Processing Technologies ◽  
The Impact

Abstract Today's sensory and processing technologies are perceptive and precise. They can discern the environment, solve complicated problems, make assessments, and learn from experience. Although they do not think the way humans do, they can replicate many human intellectual aptitudes. Throughout the last several decades, companies have implemented advanced technology and increasingly removed the human from many aspects of nuclear operation. There are many advantages to this transition, but, like any system modification, failures inevitably manifest. In the instance of this article, human errors have resulted and have accounted for several accidents at nuclear facilities in the United States due to this transition. The accidents at these facilities due to human error often result in plant shutdowns, unnecessary expenses, and have the capacity to be problematic for people, the facilities, and environments. This article explores the context surrounding the complexity of changing technologies at the nuclear facilities and the potential exacerbation of problems caused by human error when technology advancements concerning operator interaction with control systems are implemented. To understand the complexity surrounding the human interaction with advancing technologies, the concepts of human performance and human factors are examined and then the impact of these concepts within the framework of advancing technology are applied to the operation of nuclear facilities. This review draws attention to the vulnerabilities due to human error at nuclear facilities within the context of continually advancing technology and sheds insight on the role human performance and human factors have on system design and the resulting outcome.

Formal Analysis of Security in Interactive Systems

2009 ◽  
pp. 415-432 ◽  
Author(s):  
Antonio Cerone
Keyword(s):  
Human Error ◽  
User Behavior ◽  
System Development ◽  
Formal Analysis ◽  
Interactive Systems ◽  
Security Protocol ◽  
Human Interaction ◽  
Formal Modeling ◽  
Human Errors ◽  
Modeling And Analysis

Reducing the likelihood of human error in the use of interactive systems is increasingly important. Human errors could not only hinder the correct use and operation, they can also compromise the safety and security of such systems. Hence the need for formal methods to analyze and verify the correctness of interactive systems, particularly with regards to human interaction. This chapter examines the use of formal modeling and analysis of security properties of interactive systems. The reader is introduced to some basic concepts in security and human-computer interaction, followed by formal modeling of human cognitive behavior and analysis of such systems. Authors highlight the use of model-checking to drive the system development to design secure user actions and sequences of actions. Authors also analyze the patterns of user behavior that may lead to security violation. Finally, particular areas of security protocol design where human interaction plays a key role are discussed.

scholarly journals Improvement of Chemotherapy Solutions Production Procedure in a Hospital Central Chemotherapy Preparation Unit: A Systematic Risk Assessment to Prevent Avoidable Harm in Cancer Patients

2019 ◽  
Vol 13 ◽  
pp. 117955491985293 ◽  
Author(s):  
Klio Bourika ◽  
Angelos Koutras ◽  
Haralambos Kalofonos ◽  
Anna Vicha ◽  
Ekaterini Tsiata ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Public Hospital ◽  
Failure Modes ◽  
International Standards ◽  
Human Errors ◽  
Partial Compliance ◽  
Potential Failure ◽  
Corrective Actions ◽  
Matrix Construction ◽  
Criticality Analysis

Objective: This study was designed to reevaluate and improve the quality and safety of the chemotherapy preparation in a Central Chemotherapy Preparation Unit of a Public Hospital. Methods: A failure modes, effects, and criticality analysis (FMECA) was conducted by a multidisciplinary team. All potential failure modes at each stage of the chemotherapy preparation were recorded, and the associated risks were scored for their severity, occurrence, and detectability with a risk priority number (RPN). Corrective actions were suggested, and new RPNs were estimated for the modified process. Results: Failure modes, effects, and criticality analysis and priority matrix construction, revealed that the partial compliance of Unit’s premises with international standards (RPNstage: 307), the human errors throughout the compounding (RPNstage: 223)—labeling (RPNstage: 216)—prescribing (RPNstage: 198) steps, and the violation of working protocols by employees (RPNstage: 215), were the most important risks for which either urgent or immediate corrective actions had to be taken. Modifying the procedure through the proposed corrective actions is expected to lead to a significant (71.3%) risk containment, with a total RPNpreparation process reduction from 2102 to 604. Conclusions: Failure modes, effects, and criticality analysis and priority matrix development identified and prioritized effectively the risks associated with chemotherapy preparation allowing for the improvement of health services to cancer patients.

scholarly journals Lightweight and maintainable rotary-wing UAV frame from configurable design to detailed design

2021 ◽  
Vol 13 (7) ◽  
pp. 168781402110349
Author(s):  
Huiqiang Guo ◽  
Mingzhe Li ◽  
Pengfei Sun ◽  
Changfeng Zhao ◽  
Wenjie Zuo ◽  
...  
Keyword(s):  
Design Method ◽  
Geometric Model ◽  
Optimization Method ◽  
Frame Structure ◽  
Manufacturing Cost ◽  
Detailed Design ◽  
High Manufacturing Cost ◽  
The Military ◽  
Rotary Wing ◽  
Novel Design

Rotary-wing unmanned aerial vehicles (UAVs) are widespread in both the military and civilian applications. However, there are still some problems for the UAV design such as the long design period, high manufacturing cost, and difficulty in maintenance. Therefore, this paper proposes a novel design method to obtain a lightweight and maintainable UAV frame from configurable design to detailed design. First, configurable design is implemented to determine the initial design domain of the UAV frame. Second, topology optimization method based on inertia relief theory is used to transform the initial geometric model into the UAV frame structure. Third, process design is considered to improve the manufacturability and maintainability of the UAV frame. Finally, dynamic drop test is used to validate the crashworthiness of the UAV frame. Therefore, a lightweight UAV frame structure composed of thin-walled parts can be obtained and the design period can be greatly reduced via the proposed method.

scholarly journals Surface Contamination by Antineoplastics in Hospitals: An Observational Study for Mapping of Potential Contamination Associated with Handling Excreta of Babies through Diaper Management

2020 ◽  
Vol 4 (3-4) ◽  
pp. 119-125
Author(s):  
Marie Palamini ◽  
Geneviève Mercier ◽  
Jean-François Bussières
Keyword(s):  
Bone Marrow ◽  
Exploratory Study ◽  
Research Team ◽  
Failure Modes ◽  
Hospital Setting ◽  
Marrow Transplant ◽  
Mother And Child ◽  
Potential Failure ◽  
Key Steps ◽  
Hazardous Drugs

AbstractBackgroundIn the hospital setting, trace contamination with hazardous medications comes primarily from the manipulation of containers used in preparing and administering drugs. However, some traces of medications also come from the excreta of patients.MethodsThis descriptive exploratory study involved direct observation and discussion. The aim was to map potential contamination associated with handling babies’ excreta through diaper management. The study was conducted at CHU Sainte Justine (Montréal, Québec, Canada), a 500-bed mother and child facility with 38 beds for hematology-oncology and bone marrow transplant. A list of key steps related to the management of diapers by a parent or caregiver on a pediatric unit was established by the investigators. A data collection grid was then developed and reviewed by a member of the research team.ResultsA total of six diaper changes, by six distinct individuals, were observed in August and September 2019. Transport of a soiled diaper for weighing outside the baby’s room by an additional caregiver was also observed and recorded. In total, 25 individual steps in diaper management and 28 potential failure modes were identified through mapping.ConclusionsChanging a baby’s diaper involves many individual steps, which are subject to numerous failure modes that can contribute to contamination with traces of hazardous drugs. A good understanding of these process steps and failure modes is desirable to better train caregivers and parents to reduce trace contamination with hazardous drugs.

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