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 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.

scholarly journals Parameters Assessment of the FMEA Method by Means of Fuzzy Logic

2018 ◽  
Vol 2 (Special edition 2) ◽  
pp. 123-132
Author(s):  
Jasminka Bonato ◽  
Martina Badurina ◽  
Julijan Dobrinić
Keyword(s):  
Fuzzy Logic ◽  
Failure Analysis ◽  
Failure Mode ◽  
Mathematical Function ◽  
Analysis Method ◽  
Effect Analysis ◽  
New Approach ◽  
System Failures ◽  
Numerical Indicator ◽  
Fmea Method

The paper aims at presenting the FMEA method based on the fuzzy technique, representing a new approach to the failure analysis and its effects on the observed system. The FMEA (Failure Mode and Effect Analysis) method has assigned the risks a coefficient i.e. a numerical indicator that very clearly defines the degree of risk. The risk is calculated as a mathematical function of RPN which depends on the effects S, probability O that some case will lead to a failure and to a probability that a failure D can not be detected before its effects are realized. RPN = S O D. The FMEA method, based on the fuzzy logic, makes a more reliable evaluation of the observed system failures possible.

Failure Mode and Effect Analysis (FMEA) for Enhancing Reliability of Water Tube Boiler in Thermal Power Plant

2016 ◽  
Vol 8 (02) ◽  
pp. 79-86
Author(s):  
Kapil Dev Sharma ◽  
Shobhit Srivastava
Keyword(s):  
Power Plant ◽  
Failure Mode ◽  
Thermal Power Plant ◽  
Failure Modes ◽  
Thermal Power ◽  
Effect Analysis ◽  
Water Tube ◽  
Potential Failure ◽  
Fmea Method ◽  
Continuous Power

Failure mode and effect analysis is one of the QS-9000 quality system requirement supplements, with a wide applicability in all industrial fields. FMEA is the inductive failure analysis instruments which can be defined as a methodical group of activities intended to recognize and evaluate the potential failure modes of a product/ process and its effects with an aim to identify actions which could eliminate or reduce the chance of the potential failure before the problem occur. The purpose of this paper is to evaluate the FMEA research and application in the Thermal Power Plant Industry. The research will highlight the application of FMEA method to water tubes (WT) in boilers with an aim to find-out all the major and primary causes of boiler failure and reduce the breakdown for continuous power generation in the plant. Failure Mode and Effect Analysis technique is applied on most critical or serious parts (components) of the plant which having highest Risk Priority Number (RPN). Comparison is made between the quantitative results of FMEA and reliability field data from real tube systems. These results are discussed to establish relationships which are useful for future water tube designs.

Evaluating the Risk of Failure on Injection Pump Using Fuzzy FMEA Method

2014 ◽  
Vol 657 ◽  
pp. 976-980 ◽  
Author(s):  
Nicoleta Rachieru ◽  
Nadia Belu ◽  
Daniel Constantin Anghel
Keyword(s):  
Failure Mode ◽  
Traditional Method ◽  
Assessment Model ◽  
Risk Level ◽  
Analysis Method ◽  
Effect Analysis ◽  
Pump Design ◽  
Injection Pump ◽  
Fuzzy Fmea ◽  
Fmea Method

This research is aimed at utilizing failure mode and effect analysis (FMEA) which is a reliability analysis method applicable to rotary injection pump design. In traditional FMEA, Risk Priority Number (RPN) ranking system is used to evaluate, the risk level of failures to rank failures and to prioritize actions. RPN is obtained by multiplying the scores of three risk factors like the Severity (S), Occurrence (O) and Detection (D) of each failure mode. RPN method can not emphasise the nature of the problem, which is multi-attributable and has a group of experts' opinions. Furthermore, attributes are subjective and have different importance levels. In this paper, a framework is proposed to overcome the shortcomings of the traditional method through the fuzzy set theory. Two case studies have been shown to demonstrate the methodology thus developed. It is illustrated a parallel between the results obtained by the traditional method and fuzzy logic for determining the RPNs. We expect that fuzzy FMEA model will assist FMEA team in assess and rank risks more precisely compared with risk assessment model of method.

scholarly journals Analisis Penyebab Kerusakan Hot Rooler Table dengan Menggunakan Metode Failure Mode And Effect Analysis (FMEA)

2018 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Muhamad Bob Anthony
Keyword(s):  
Failure Mode ◽  
Section Mill ◽  
Effect Analysis ◽  
Iron And Steel ◽  
Furnace Section ◽  
Human Aspects ◽  
Process Failure ◽  
Mill Unit ◽  
Fmea Method ◽  
Fmea Analysis

This research was conducted in an international company engaged in iron and steel products manufacturing industries. One of the equipment that is often damaged is a hot roller table machine in the furnace section mill unit. The availability results obtained in hot roller table equipment is 96.571% and is still below the company standard which is set at 98%. Therefore, we need an analysis of the root causes of the problem and search for the best solution to fix the existing problem by applying the method of Failure Mode and Effect Analysis (FMEA). FMEA is a method that can systematically and structurally analyze and identify the consequences of a system or process failure, and also reduce or analyze the probability of failure. The purpose of this study is to identify and analyze the level of damage and its causes with the application of the FMEA method. Based on the pareto diagram the damage to the hot roller table machine, it was found that the highest frequency of damage was in the rotary coupling with a down time percentage of 26.9%. From the FMEA Analysis, two components that have very high RPN values are categorized as potential severit i.e. bearing as the first with an RPN value of 392 and the second is a seal ring with an RPN value of 294. The two components are the main priority for repair of the furnace section. mill, especially for machine and human aspects.

scholarly journals Identifikasi Potensi Modus Kegagalan Yang Dapat Menghambat Kelancaran Proses Pelayanan Rawat Jalan Menggunakan Failure Mode Effect Analysis (FMEA) Di Rumah Sakit BM Jakarta Barat

2020 ◽  
Vol 8 (2) ◽  
pp. 105-113
Author(s):  
Achmaddudin Sudiro
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Outpatient Service ◽  
Outpatient Services ◽  
Effect Analysis ◽  
Outpatient Unit ◽  
Mode Effect ◽  
Potential Failure ◽  
Fmea Method ◽  
Failure Mode Effect Analysis

Outpatient services hosted by the hospital have never been absent from public visits. In fact, every year an outpatient visitor is always increasing. This research intends to identify potential failure mode that can  inhibit of every flow of service in the outpatient care unit using the Failure Mode Effect Analysis (FMEA) method. Qualitative research plan using an observation survey approach and in-depth interviews with the outpatient service head Coordinator conducted in February 2020 on the hospital outpatient unit service process. The results of this study Indicate the potential failure mode that has the value of the RPN above the value of cut off point 180 as many as six out of ten failure modes. Firstly, the check is not on schedule (360), secondly, the patient lags a turn call order Check (270), third, Specific drug failure is not available (245), fourth, general patient protests with the price of the drug (224), fifth, the patient is void to poly (196), the sixth patient registrant online missed sequence number queue (180). Based on the results of the research, hospitals are expected to follow up with the results of this research by conducting a redesign of the process that occurs today using the FMEA to maintain service quality.

scholarly journals Analisa defect produk sheet area corrugator 301 menggunakan metode SPC dan FMEA di PT Indah Kiat

2020 ◽  
Vol 12 (3) ◽  
pp. 332
Author(s):  
Evan Mandala Putra ◽  
Sri Mukti Wirawati ◽  
Pugy Gautama
Keyword(s):  
Process Control ◽  
Production Process ◽  
Statistical Process Control ◽  
Failure Mode ◽  
Failure Modes ◽  
Uneven Surface ◽  
Statistical Process ◽  
Effect Analysis ◽  
Product Defect ◽  
Fmea Method

This study aims to analyze defects in the sheet production process in the 301 Corrugator area by analyzing the total number of sheets produced and the number of sheets that have been damaged over a certain period of time using the Statistical Process Control (SPC) method and Failure Modes and Effect Analysis (FMEA). Based on the research results, there are 6 defects, namely untidy cuts, wrinkled sheets, uneven surface, curved sheets, uneven sides, loose sheet layers. The most dominant defect is uneven surface, which is 185.141 Kg or 60%. Based on the value of the RPN table, the product defect that has the highest value is the loose sheet layer with an RPN value of 245 from the calculation stage of the RPN value, a suggestion is made to reduce defects resulting from the loose sheet layer. From the stage of making improvements, the company should prioritize and focus on the types of disabilities and types of disabilities that have the highest RPN ranking when using the Failure Mode and Effect Analysis (FMEA) method.

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