scholarly journals The risk analysis at working with a chainsaw

2019 ◽  
Vol 29 (10) ◽  
pp. 82-84
Author(s):  
Jan Kovach ◽  
Pavol Tiavoda ◽  
Jozef Krilek
Keyword(s):  
Risk Analysis ◽  
Failure Modes ◽  
Negative Impact ◽  
High Reliability ◽  
Operational Reliability ◽  
Human Potential ◽  
Operational Conditions ◽  
Wood Processing ◽  
Reliability Parameters ◽  
Fmea Method

Forestry in Slovakia has recently got very fast tendency of research in all levels. The introduction of complex machines and equipment, the application of new advanced technologies, the tendency to decrease energy consumption, material difficulty of products, requirements on high reliability of machines and automation in operation impose the necessity for the search of theoretical basics for wood production processes and utilization of new developing forest and wood processing techniques. The work with a chain saw is risky and has negative impact on the health of workers. It has been clear from recent findings. The limitation of these impacts has influence on technical, technological and organizational actions serving as preventive ones. That is the reason why the famous chain saw producers established different technical supports which have the influence on decrease of vibrations and noise. It is necessary to realize several actions within the maintenance of chain saws to fulfil the goals of a technical action. The paper deals with risk analysis by usage Failure Modes and Effects Analysis (FMEA), which was implemented on STIHL motor chainsaw. We identified the potential failures, then we allocated to the value of occurrence, significance and detectability in the process and we also calculated the risk priority number (RPN). Application of the FMEA method allows flexibility in the case of unexpected situations and optimization of human potential abilities. FMEA is a tool preventing outages operational reliability and preventive tool for ensuring the maintenance of facilities. There are several methods of information processing regarding to reliability parameters, but some of them are very difficult and in standard operational conditions are not usable. The method of information analysis mentioned below is simple but precise enough for implementation in real working conditions.

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 Reliability Analysis of Forest Machines Due to FMEA Method

2018 ◽  
Vol 26 (4) ◽  
pp. 200-206
Author(s):  
Pavol Ťavoda ◽  
Ján Kováč ◽  
Zygmunt Ł Łukaszczyk
Keyword(s):  
Reliability Analysis ◽  
Failure Mode ◽  
Real World ◽  
Operational Reliability ◽  
Reliability Theory ◽  
Human Potential ◽  
Effect Analysis ◽  
Operational Conditions ◽  
Operating Variable ◽  
Fmea Method

Abstract The article deals with the research of operational reliability of forest felling machines with the method FMEA (Failure Mode and Effect Analysis) and its implementation for observed machines in the organization. Forwarders 810D by John Deere were chosen for this research. The research was realized 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. This paper explores and verifies the operational reliability theory in practical real-world conditions, resulting in a reduction in operating (variable) costs, minimization of failures and readiness and increased performance of observed machines.

scholarly journals A Matrix FMEA Analysis of Variable Delivery Vane Pumps

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1741
Author(s):  
Joanna Fabis-Domagala ◽  
Mariusz Domagala ◽  
Hassan Momeni
Keyword(s):  
Risk Analysis ◽  
Failure Modes ◽  
High Reliability ◽  
Matrix Analysis ◽  
Hydraulic Systems ◽  
Vane Pump ◽  
End Effects ◽  
Root Cause ◽  
Preventative Measures ◽  
Fmea Analysis

Hydraulic systems are widely used in the aeronautic, machinery, and energy industries. The functions that these systems perform require high reliability, which can be achieved by examining the causes of possible defects and failures and by taking appropriate preventative measures. One of the most popular methods used to achieve this goal is FMEA (Failure Modes and Effects Analysis), the foundations of which were developed and implemented in the early 1950s. It was systematized in the following years and practically implemented. It has also been standardized and implemented as one of the methods of the International Organization for Standardization (ISO) 9000 series standards on quality assurance and management. Apart from wide application, FMEA has a number of weaknesses, which undoubtedly include risk analysis based on the RPN (Risk Priority Number), which is evaluated as a product of severity, occurrence, and detection. In recent years, the risk analysis has been very often replaced by fuzzy logic. This study proposes the use of matrix analysis and statistical methods for performing simplified RCA (Root Cause Analysis) and for classification potential failures for a variable delivery vane pump. The presented methodology is an extension of matrix FMEA and allows for prioritizing potential failures and their causes in relation to functions performed by pump components, the end effects, and the defined symptoms of failure of the vane pump.

scholarly journals Risk analysis of warehouse operation in a power plant through a Modified FMEA

2018 ◽  
Vol 154 ◽  
pp. 01089
Author(s):  
Sri Indrawati ◽  
Kharina Novia Karunia Ningtyas ◽  
Alfina Budi Khoirani ◽  
Riadho Clara Shinta
Keyword(s):  
Power Plant ◽  
Risk Analysis ◽  
Needs Assessment ◽  
Failure Mode ◽  
Failure Modes ◽  
Basic Needs ◽  
Risk Priority Number ◽  
West Java ◽  
Warehouse Operation ◽  
Fmea Method

Currently, electricity becomes basic needs for human’s life sustainability. Most of activities require electricity. Some power plant are demanded to be able to fulfil above necessity by distributing electricity as it required within time. Therefore, to accommodate good performance, it needs assessment on risk analysis, specifically at the warehousing division. A risk analysis is needed for assuring a good performance warehouse. A Modified FMEA method is used to analyse the risk. This method id done by identifying sources and root causes of a problem based on the value of risk priority number (RPN). The research is conducted in an Indonesian power plant, located in West Java. There are 10 types of failure modes. The result shows that the failure mode priority is inventory discrepancies. There are no difference ranking on the most impacted failure to be prioritized using FMEA and modified 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.

Optimization of Tube Hydroforming Process Using Probabilistic Constraints on Failure Modes

2011 ◽  
Vol 62 ◽  
pp. 21-35 ◽  
Author(s):  
Anis Ben Abdessalem ◽  
A. El Hami
Keyword(s):  
Failure Modes ◽  
High Reliability ◽  
Thickness Distribution ◽  
Tube Hydroforming ◽  
Forming Limit Diagram ◽  
Plastic Instability ◽  
Probabilistic Constraints ◽  
Forming Limit ◽  
Reliability Based Design ◽  
Hydroforming Process

In metal forming processes, different parameters (Material constants, geometric dimensions, loads …) exhibits unavoidable scatter that lead the process unreliable and unstable. In this paper, we interest particularly in tube hydroforming process (THP). This process consists to apply an inner pressure combined to an axial displacement to manufacture the part. During the manufacturing phase, inappropriate choice of the loading paths can lead to failure. Deterministic approaches are unable to optimize the process with taking into account to the uncertainty. In this work, we introduce the Reliability-Based Design Optimization (RBDO) to optimize the process under probabilistic considerations to ensure a high reliability level and stability during the manufacturing phase and avoid the occurrence of such plastic instability. Taking account of the uncertainty offer to the process a high stability associated with a low probability of failure. The definition of the objective function and the probabilistic constraints takes advantages from the Forming Limit Diagram (FLD) and the Forming Limit Stress Diagram (FLSD) used as a failure criterion to detect the occurrence of wrinkling, severe thinning, and necking. A THP is then introduced as an example to illustrate the proposed approach. The results show the robustness and efficiency of RBDO to improve thickness distribution and minimize the risk of potential failure modes.

Appearance FMEA: A Method for Appearance Quality Evaluation of Early Design Concepts

2009 ◽  
Author(s):  
Karin Forslund ◽  
Timo Kero ◽  
Rikard So¨derberg
Keyword(s):  
Industrial Design ◽  
Failure Modes ◽  
Negative Impact ◽  
Consumer Products ◽  
Product Development Process ◽  
Early Design ◽  
Product Experience ◽  
Design Concepts ◽  
Quality Aspects ◽  
Noise Factors

For consumer products, early design stages are often concerned with the product’s industrial design, with primary focus on the consumer’s product experience. At this stage, aspects such as manufacturability and robustness are often not thoroughly taken into account. Industrial design concepts not properly suited for manufacture, assembly and process variability can result in final products in which the appearance intent is not satisfactorily realized. This can have a negative impact on the customer’s product quality perception. If such problems are discovered late in the product development process, late design changes and increased project costs may follow. The main difficulty in evaluating perceived quality aspects during industrial design is that the product is still under development. It is not mature enough to enable prediction of the prerequisites for achieving high manufacturing quality. In this paper, we suggest that concepts instead could be evaluated as far as the intrinsic tendency of the product appearance to support manufacturing variation and other noise factors. This is addressed through the concept of visual robustness: the ability of a product’s visual appearance to stimulate the same product experience despite variety in its visual design properties. Here, a method is suggested based on the Failure Modes and Effects Analysis (FMEA). The method follows a structured procedure for addressing appearance issues.

Sign in / Sign up

Export Citation Format

Share Document