TRAINING OF THE MODIFIED FMEA METHOD FOR MANAGERS IN THE INDUSTRY

2021 ◽  
Author(s):  
Maria Hudakova ◽  
Peter Kardoš ◽  
Patrik Lahuta
Keyword(s):  
Fmea Method

scholarly journals Analysis of the quality of wheel chain products at UPT logam Yogyakarta using FMEA method

2020 ◽  
Vol 1456 ◽  
pp. 012033
Author(s):  
E W Yunitasari ◽  
R Widiastuti ◽  
B S Wisnuaji ◽  
M Erwinda ◽  
E Sutanta
Keyword(s):  
Fmea Method

scholarly journals Algorithmic prediction of failure modes in healthcare

2020 ◽  
Author(s):  
Ayala Kobo-Greenhut ◽  
Ortal Sharlin ◽  
Yael Adler ◽  
Nitza Peer ◽  
Vered H Eisenberg ◽  
...  
Keyword(s):  
Adverse Events ◽  
Failure Modes ◽  
Medical Center ◽  
Hazard Analysis ◽  
Working Hours ◽  
Hazard Identification ◽  
Patient Identification ◽  
Complete Identification ◽  
Before And After ◽  
Fmea Method

Abstract Background Preventing medical errors is crucial, especially during crises like the COVID-19 pandemic. Failure Modes and Effects Analysis (FMEA) is the most widely used prospective hazard analysis in healthcare. FMEA relies on brainstorming by multi-disciplinary teams to identify hazards. This approach has two major weaknesses: significant time and human resource investments, and lack of complete and error-free results. Objectives To introduce the algorithmic prediction of failure modes in healthcare (APFMH) and to examine whether APFMH is leaner in resource allocation in comparison to the traditional FMEA and whether it ensures the complete identification of hazards. Methods The patient identification during imaging process at the emergency department of Sheba Medical Center was analyzed by FMEA and APFMH, independently and separately. We compared between the hazards predicted by APFMH method and the hazards predicted by FMEA method; the total participants’ working hours invested in each process and the adverse events, categorized as ‘patient identification’, before and after the recommendations resulted from the above processes were implemented. Results APFMH is more effective in identifying hazards (P < 0.0001) and is leaner in resources than the traditional FMEA: the former used 21 h whereas the latter required 63 h. Following the implementation of the recommendations, the adverse events decreased by 44% annually (P = 0.0026). Most adverse events were preventable, had all recommendations been fully implemented. Conclusion In light of our initial and limited-size study, APFMH is more effective in identifying hazards (P < 0.0001) and is leaner in resources than the traditional FMEA. APFMH is suggested as an alternative to FMEA since it is leaner in time and human resources, ensures more complete hazard identification and is especially valuable during crisis time, when new protocols are often adopted, such as in the current days of the COVID-19 pandemic.

scholarly journals A FMEA Based Method for Analyzing and Prioritizing Performance Risk at the Conceptual Stage of Performance PSS Design

2021 ◽  
Vol 1 ◽  
pp. 81-90
Author(s):  
John Bake Sakwe ◽  
Marcus Pereira Pessoa ◽  
Sipke Hoekstra
Keyword(s):  
Failure Modes ◽  
Manufacturing Companies ◽  
Performance Risk ◽  
Performance Contracts ◽  
Product Service ◽  
Optical Sorting ◽  
Fmea Method ◽  
Performance Challenges ◽  
Product Service Systems

AbstractWith the quest for enhancing competitive position, fulfilling customer and sustainability demands, increasing profitability, asset manufacturing companies are now adapting assets towards product service systems (PSS) offered through performance contracts. Despite several benefits, the shift to performance PSS exposes industrial asset manufacturers' to performance challenges and risks. Currently, PSS designers face a challenge to exhaustively identify potential failures during PSS development. Knowledge of Product failures is critical prior to the engineering of PSS. This paper proposes a failure modes and effects analysis (FMEA) method to support designers' prioritise critical failures in performance PSS development. A case study of an optical sorting machine is used to demonstrate the method's application.

FMEA method in operational reliability of forest harvesters

2020 ◽  
Vol 11 (1) ◽  
pp. 29-38
Author(s):  
Ján Kováč ◽  
Pavol Ťavoda ◽  
Jozef Krilek ◽  
Pavol Harvánek
Keyword(s):  
Failure Mode ◽  
Working Conditions ◽  
Operational Reliability ◽  
Human Potential ◽  
Information Analysis ◽  
Effect Analysis ◽  
Operational Conditions ◽  
Its Analysis ◽  
Fmea Method ◽  
Operational Data

AbstractThe article deals with the research of operational reliability of forest felling machines by FMEA method (Failure Mode and Effect Analysis). It describes collection of operational data and its analysis. It explains the procedure of realization for the method FMEA in the organization. Harvesters John Deere 1070D in the Company Lesy SR B. Bystrica were chosen for this research. The research was held in real operational conditions. Application of the FMEA method allows flexibility in case of unexpected situations and optimization of human potential abilities. FMEA tool is a tool preventing outages operational reliability and preventive tool for ensuring the maintenance of facilities. The method of information analysis mentioned below is simple ale precise enough for implementation in real working conditions.

scholarly journals PSS-FMEA: TOWARDS AN INTEGRATED FMEA METHOD TO SUPPORT THE DEVELOPMENT OF PRODUCT-SERVICE SYSTEMS IN SMES

2021 ◽  
Vol 1 ◽  
pp. 2501-2510
Author(s):  
Tobias Mahl ◽  
Christian Köhler ◽  
Dominik Arnold ◽  
Dominik Lins ◽  
Bernd Kuhlenkötter
Keyword(s):  
Failure Mode ◽  
Service Systems ◽  
Use Case ◽  
Product Service ◽  
Special Character ◽  
Fmea Method ◽  
Development Risks ◽  
Product Service Systems ◽  
Quality Tool

AbstractIn industry, Failure Mode and Effects Analysis is an established quality tool for minimizing development risks in systems, products and processes. Nevertheless, the presented use case shows that the application of the FMEA method in the development of Product-Service Systems in a SME requires modifications to ensure that the special character of PSS is appropriately included and that risks can be adequately assessed and prioritized.

Time‐varying FMEA method based on interval‐valued spherical fuzzy theory

2021 ◽  
Author(s):  
Xinda Zhou ◽  
Chuanhai Chen ◽  
Hailong Tian ◽  
Liding Wang ◽  
Zhaojun Yang ◽  
...  
Keyword(s):  
Fuzzy Theory ◽  
Time Varying ◽  
Fmea Method ◽  
Interval Valued

scholarly journals ANALYSIS AND PREVENTION OF RISKS IN THE MANUFACTURE OF LABORATORY MICROBIOLOGICAL CULTURE MEDIA BY FMEA METHOD

2019 ◽  
Vol 14 (1) ◽  
pp. 90-98
Author(s):  
Vladimir E Nikitchenko ◽  
Ekaterina O Rystsova ◽  
Anastasiya N Chernysheva
Keyword(s):  
Risk Assessment ◽  
Culture Media ◽  
Negative Consequences ◽  
Nutrient Media ◽  
Effect Analysis ◽  
Risk Levels ◽  
Assessment Protocol ◽  
Operational Risks ◽  
Microbiological Laboratory ◽  
Fmea Method

At all stages of the production of microbiological nutrient media (MNM), the manufacturer, and in particular, the microbiological laboratories that manufacture the media on site, face many operational risks. The presence of such risks, in almost every critical point of production and further operation of the MNM, is due to the presence of common basic requirements for all MNM, which must be taken into account and respected during their development and preparation; as well as the complexity and laboriousness of the very process of manufacturing high-quality differential-diagnostic and other nutrient media, requiring the availability of all the components necessary for preparing these media, equipment, sterile conditions and qualified personnel. In this regard, there is a need to search for effective methods to identify and prevent undesirable situations associated with the production and use of MNM. The aim of this work was to adapt the risk assessment methodology based on the expert method for analyzing the types and consequences of FMEA failures (Failure Mode Effect Analysis) set out in GOST R ISO 31010-2011 for the needs of microbiological laboratories, including those for veterinary and sanitary expertise, producing microbiological nutrient environments and using them. As part of this work, a comparative analysis of risk assessment methods was carried out in order to select the optimal one; adaptation of the QMS principle - risk-oriented thinking and the FMEA method for risk assessment in the implementation of MNM manufacturing processes in a microbiological laboratory (for example, solid agar media); risk assessment protocol forms were developed; calculations of a quantitative assessment of risk levels were carried out in order to determine the need for preventive actions and their implementation in order to minimize the negative consequences of risk in case of its implementation using the developed protocols. The results showed that this technique can be successfully implemented and used in the claimed area.

scholarly journals Increasing Project Effectiveness by Combining the FMEA Method Results and the Costs of Quality (Based on the Example of an Employee Relationship Management Project)

2021 ◽  
Vol 13 (1) ◽  
pp. 26-68
Author(s):  
Anna Lipka ◽  
Agnieszka Giszterowicz
Keyword(s):  
Success Factors ◽  
Critical Path ◽  
Relationship Management ◽  
Value Added ◽  
Economic Implications ◽  
Employee Relationship ◽  
Management Project ◽  
Fmea Method ◽  
Selection Of

Abstract Objective: This article presents a project focused on the stabilization of employment in a multi-generational organization in the scope of human resources –specifically, employee relationship management. Methodology: The type of project was evaluated by taking into account different typological criteria. The employee generations were defined by providing time ranges based on dates of birth. All important project stages were presented according to the newest PMI 2017 methodology, with particular attention to the selection of the model of the project team and the division of tasks within the team. The critical path method was used in the description of the course of project activities. Findings: The method of determination of project success factors was specified. Value Added: In accordance with the title of the article, it was, however, shown how one can combine the identification of the level of project risk (using failure mode and effects analysis – FMEA) and the costs of quality to increase the project effectiveness. Recommendations: Projects of this type are important in these organizations where the risk of loyalty is high, which leads to negative economic implications. The advantages from such projects can, however, affect more than the employer.

scholarly journals Risk analysis of production process for food SMEs using FMEA method: a case study

2021 ◽  
Vol 331 ◽  
pp. 02010
Author(s):  
Prima Fithri ◽  
Muhammad Rafi ◽  
Pawenary ◽  
A. S. Prabuwono
Keyword(s):  
Human Resources ◽  
Production Process ◽  
Critical Value ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Increase Productivity ◽  
Fmea Method ◽  
Bread Production ◽  
A Company

The increasing development of the industry makes every industry have to compete with other competitors to gain an edge. The advantages of competition are influenced by several factors, one of which is good human resource management. Where if a company has good human resources, it will increase profits indirectly and can increase productivity. This research discusses case studies about the potential dangers of IKM Heppy Bakery’s potential dangers that can harm workers in bread production. The method used is Failure Mode And Effect Analysis (FMEA). Later, the data will be filled and given a rating distinguished into three parts: severity, occurrence, and detection. The data were obtained through questionnaires given to 3 workers at IKM Heppy Bakery and filled in rating values based on the provisions that have been given to the questionnaire. This Value helps determine the Risk Priority Number (RPN) obtained from multiplication between severity, occurrence, and detection. After processing the RPN multiplication data, the highest RPN value was obtained by 193 with the danger factor of the operator overheating and dehydrating due to high temperatures. Furthermore, the calculation of critical Value was obtained by 109. Based on the critical Value obtained seven hazard factors above the critical value, these seven hazard factors need to be improved so that workers do not avoid accidents when conducting the production process.

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