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EN
With increasing geopolitical tensions and cross-border operational disruptions, critical transport infrastructure is becoming particularly important for Europe’s economic and logistical security. The research niche of the article is the limited number of empirical, comparative studies assessing the resilience of critical transport infrastructure under the direct impact of armed conflict, with a particular focus on intermodal operations between Poland and Ukraine. The aim of this article is to identify and assess risks affecting critical transport infrastructure in Europe in the context of the war in Ukraine, with particular emphasis on the perspective of Polish and Ukrainian companies. The study adopts the hypothesis that infrastructure resilience varies significantly across transport modes and that asystemic risk-management approach supported by international coordination improves the effectiveness of adaptation processes. The study covered companies inthe TSL (transport - shipping - logistics) sector that provide road transport services and cooperate with rail, air and maritime transport operators. In the empirical part, an assessment of infrastructure risk and vulne rability was carried out using the FMEA method. The results show significant variation in resilience depending onthe type of infrastructure and the need to implement asystemic approach to risk management. Based on the analysis, strategic directions for improvement were identified, including diversification of routes, developmentof digital competences and increased interoperability of infrastructure. The conclusions of the study indicate that the identification of key risks and vulnerabilities of the transport infrastructure provides the foundationfor ensuring the continuity of logistics systems and an effective response to future geopolitical emergencies.
EN
This paper focuses on the application of machine learning in the Failure Mode and Effects Analysis (FMEA) process for analyzing failure modes and effects using data modeling. FMEA is a recognized methodology used to detect and assess potential problems in products and processes before they occur. The main objective was to develop a neural network model that could predict potential failure modes and their effects, using a specially prepared anonymised table derived from industrial DFMEA records. Utilizing machine learning in the context of FMEA opens new perspectives in terms of accuracy, objectivity, and efficiency of analysis, while reducing subjectivity and the time required for the traditional FMEA analysis approach. The proposed neural network model performs calculations and analyses, enabling a deeper understanding of the patterns in the data and their potential applications in the industry.
3
Content available Supply chain risk management in construction
EN
Risk and uncertainty in the supply chain have a direct impact on the profitability, operation, and competitiveness of the enterprise. Supply chain risk management allows for the reduction of the negative impact this risk may have on the enterprise, enabling quicker and more appro-priate actions and responses. In the article, based on survey research, risk elements in the con-struction supply chain were identified. These risk elements were categorized into external risks, which are not directly dependent on the participants in the supply chain, and internal risks. Using the FMEA (Failure Modes and Effects Analysis) method, the risk of potential failures in both groups was assessed. The data analysis reveals that construction companies face significantly higher risks from external factors compared to internal ones. The greatest risk among external threats is attributed to changes in interest rates and issues with raw mate-rial suppliers. Among internal threats, the highest risk is related to workplace safety. Based on the analyses conducted, a risk management model for the construction supply chain was pro-posed.
EN
Architectural, digital and information and communication accessibility is, according to the Law [1], accessibility that meets the requirements of universal design and reasonable accommodation within the meaning of the Convention on the Rights of Persons with Disabilities. According to the law, providing accessibility to persons with special needs is the responsibility of public transport entities including maritime operators. Persons with special needs are those who, due to their characteristics or the circumstances in which they find themselves, need to take additional measures to overcome barriers that prevent or hinder their participation in various spheres of life on an equal footing with others. Thus, these are not only people with disabilities, but also, as the explanatory memorandum to the law indicates, other dependents, the elderly or parents with children. The publication, within the framework of the methodology of the process approach to the management of transport organizations, defines a proposal for the basic criteria of the Accessibility Management System for Integrated Interchanges (AMSII), which will ensure compliance with all the requirements of the Law and related acts.
EN
The article presents the results of research carried out in the chosen company producing components for automotive companies. The main objective of the research was to analyze the quality level in the production of assembly parts for the automotive industry with regard to customer requirements, carried out by using the product FMEA and process FMEA methods. The research were conducted based on results of the company quality control and calculations have been conducted with applying Excel program. Results of data analysis presented in the paper indicate the main areas connected with occurrence of nonconformities that affected the final quality of the product. Analysis of research results using the FMEA method allowed to find not only the source of quality problems in the production process. It also allowed us to indicate recommendations for system improvements. The recommended actions not only allow for streamlining the production process, but also affect the quality level of the product at every stage of its production, which can be successfully found in other companies in the automotive industry.
EN
The main objective of the work was to assess the possibility of using and implementing the FMEA method as an effective support for the HACCP system in a selected food industry enterprise. The research entity was a food enterprise located in central Poland and the subject of the research was canned meat with gravy in glass jars and their production line. In the study, programs such as draw.io, Excel, and Statistica were used. The study was conducted based on interviews with company employees, value stream analysis and nonconformance reports. During the site visit, an assessment of the company’s infrastructure was also carried out to evaluate the possibility of implementing the FMEA method. Data analysis showed that in the examined company there are non-compliances with varying degrees of impact on the final quality of the product or on the production process of this product. The analysis of the company’s infrastructure, in turn, confirms that it is possible to integrate the HACCP system with the FMEA method. The results indicate that the synergy of HACCP and FMEA will bring benefits to the company in the form of improved risk management, quality control and safety in food production. The results of this study suggest that implementing such a connection may bring many, various benefits to food companies not only in Poland but also in another countries.
EN
The aim of the study was to conduct a comprehensive investigation into the safety of buildings in agricultural holdings. The study focused on identifying hazards, assessing risks, and proposing improvements. The use of FMEA and SWOT methods provided a detailed examination of potential hazards and effective solutions. Many farms lack knowledge in risk management, leading to neglected maintenance and inspections. Common issues include poor ventilation, moisture, and lack of safety standards. The absence of regular inspections of livestock buildings can lead to serious risks such as structural damage and fires. Systematic inspections for early fault detection are crucial. A comprehensive risk management approach - encompassing regular inspections, system upgrades, new technologies, and education - is essential for improving farm building safety.
EN
The increasing demands for product quality and production efficiency in the plastics industry necessitate the use of structured quality management tools. This study aims to identify critical defects in the production of water bottles using the Pareto-Lorenz analysis and Failure Mode and Effect Analysis (FMEA). The research was conducted in a company specializing in bottle manufacturing, where production incon sistencies were analyzed based on quality control reports. The Pareto-Lorenz method revealed that the majority of defects were attributed to issues related to material injection and assembly oversight. The FMEA analysis prioritized defects based on their severity, occurrence proba bility, and detection difficulty, assigning Risk Priority Numbers (RPN) to facilitate targeted corrective actions. Implemented solutions, such as enhanced quality control procedures and systematic employee training, resulted in a significant reduction in defect occurrence and improved production efficiency. The study confirms that combining FMEA and Pareto-Lorenz analysis is an effective approach for optimizing quality management in industrial settings, offering practical insights for manufacturers seeking to enhance product reliability and competitiveness.
EN
This study explores the implementation of Failure Mode and Effect Analysis (FMEA) as a key quality control method to enhance reliability and minimize risks in production processes. FMEA is a structured approach that systematically identifies potential failure modes, evaluates their impact, and prioritizes them based on three key factors: Severity, Occurrence, and Detection. By calculating the Risk Priority Number (RPN), the analysis provides a clear roadmap for mitigating the most critical risks. In the context of watch production, the study applies FMEA to identify and address failure modes arising from various root causes, including material defects, human errors, and equipment malfunctions. High-priority risks, such as improper assembly, battery depletion, and machine calibration issues, are analyzed to determine their severity and likelihood of detection. The findings emphasize the importance of early detection and corrective measures in reducing defects and improving product quality. Additionally, the integration of tools like Ishikawa diagrams enhances the identification of root causes, enabling a more comprehensive understanding of process inefficiencies. This research underscores the role of FMEA as an essential quality control tool, contributing to continuous improvement, customer satisfaction, and operational excellence. By addressing high-RPN failure modes and optimizing detection methods, organizations can achieve significant advancements in product reliability and process efficiency.
EN
The aim of the paper was to determine the level of reliability of a carousel type device. Considering the improvement of reliability, we decided to use the basic tools of FMEA and FTA. Using FMEA, we identified the most critical part of the equipment, namely welding (RPN=320). The proposed measure only solved the improvement of detection. Based on the FMEA analysis, we chose the TOP event for FTA - bad weld. The detected probability of peak event failure by quantitative FTA analysis was at the level of 0.58%. We identified the basic events leading to the TOP event, i.e. an allowed sonotrode, incorrect position of the membrane during sampling, short welding time and insufficient weld depth. Subsequently, reliability indicators were quantified. We achieved almost 100% availability values. Despite this, the aim was to find out a more comprehensive level of reliability and follow up findings from FMEA. We used the DEMATEL model and our own proposed economic model. Using the DEMATEL model, we found out that short welding time and an insufficient weld depth are the causative modes, that means, they significantly influence other failure modes and do so with a high significance. The creation of an economic evaluation model based on the quantification of direct costs for failure modes with the consequences of a certain number of defective products contributed to the fact that we again determined that the failure modes short welding time and insufficient depth are the modes with the highest priority for solving the bad weld event. The costs incurred as a result of their occurrence and as a result of the occurrence of downtime were the highest with these regimes. These models create space for us to more effectively design measures to improve the level of reliability and production quality, what is a prerequisite for ensuring a reduction in downtime, an increase in production quality and reliability, and an overall cost reduction. This also leads to an increase in the reputation of manufacturers.
PL
Celem artykułu było określenie poziomu niezawodności urządzenia typu karuzela. Biorąc pod uwagę poprawę niezawodności, postanowiliśmy wykorzystać podstawowe narzędzia FMEA i FTA. Za pomocą FMEA zidentyfikowaliśmy najbardziej krytyczną część urządzenia, a mianowicie spawanie (RPN = 320). Proponowany środek rozwiązał jedynie problem poprawy wykrywania. Na podstawie analizy FMEA wybraliśmy zdarzenie TOP dla FTA - zły spaw. Wykryte prawdopodobieństwo awarii zdarzenia szczytowego za pomocą ilościowej analizy FTA wyniosło 0,58%. Zidentyfikowaliśmy podstawowe zdarzenia prowadzące do zdarzenia TOP, tj. dozwolona sonotroda, nieprawidłowe położenie membrany podczas pobierania próbek, krótki czas spawania i niewystarczająca głębokość spawania. Następnie dokonano ilościowej oceny wskaźników niezawodności. Odkryliśmy, że urządzenie jest bardzo niezawodne, ponieważ osiągnęliśmy prawie 100% wartości dostępności. Pomimo tego celem było znalezienie bardziej kompleksowego poziomu niezawodności i dalszych ustaleń z FMEA. Wykorzystaliśmy model DEMATEL i nasz własny proponowany model ekonomiczny. Korzystając z modelu DEMATEL, odkryliśmy, że krótki czas spawania i niewystarczająca głębokość spoiny są trybami przyczynowymi, co oznacza, że znacząco wpływają na inne tryby awarii i robią to z dużym znaczeniem. Stworzenie modelu oceny ekonomicznej opartego na kwantyfikacji bezpośrednich kosztów trybów awarii z konsekwencjami określonej liczby wadliwych produktów przyczyniło się do faktu, że ponownie ustaliliśmy, że tryby awarii krótki czas spawania i niewystarczająca głębokość są trybami o najwyższym priorytecie dla rozwiązania złego zdarzenia spawalniczego. Koszty poniesione w wyniku ich wystąpienia i w wyniku wystąpienia przestoju były najwyższe w tych reżimach. Modele te stwarzają nam przestrzeń do skuteczniejszego projektowania środków w celu poprawy poziomu niezawodności i jakości produkcji, co jest warunkiem wstępnym zapewnienia skrócenia przestojów, zwiększenia jakości i niezawodności produkcji oraz ogólnej redukcji kosztów. Prowadzi to również do wzrostu reputacji producentów.
EN
The article presents selected aspects regarding transporting goods intended for animal feeding. The transport of this type of cargo must meet trade safety requirements and be monitored at every stage of the transport chain. The safety of transport of this type of goods is given priority because possible contamination of feed could affect the quality of food products and threaten human health. The authors referred to the reasons for creating an international procedure regarding, among others, the transport of this group of goods, limiting the risks mentioned above. The proposed procedure is a response to various incidents of feed contamination. It was introduced as an internal system and then developed internationally. The article points to the multi-threaded nature of topics related to the risk management process during the transport of feed intended for animal feeding by rail. This article presents an approach to this issue that considers a multi-aspect analysis of decision support. Risk assessment in transporting feed by rail is an essential factor influencing safety in trade. The article presents the FMEA method, which enables decision support analysis considering non-compliance risk. The recommended method that enables the examination of transport processes for this group of goods is the analysis of the types and effects of possible errors. The task solved using the FMEA method is fed by historical data, the transport task, and the FMEA methodology. Three elements are analyzed - the significance of non-compliance, the risk of non-compliance, and the possibility of detecting non-compliance. They enable quantification and determination of a risk priority number. If the acceptable risk level is exceeded, changes are made to the transport task. The article broadly refers to aspects of risk analysis, which allows you to manage the transport process.
EN
The article presents the possibility of increasing the production efficiency in an enterprise dealing in the production of lounge furniture. The literature review shows that Poland is the sixth country in the world in the amount of furniture production. It is also one of the leading exporters of upholstered furniture in Europe. Each year, the value of furniture sales production increases by a few percentage points. Due to the constantly growing customer orders, many companies in this industry are struggling with delays in delivering products to customers. This problem also occurs in the analyzed company. While analyzing the production process, the occurrence of a large number of non-conformities was also noticed. An analysis was carried out to indicate the number of non-conformities and the place of their occurrence. The FMEA analysis was used, which indicated which non-conformities are the most important, and the 5Why method, which allowed to indicate the cause of their occurrence. The analysis of production processes showed which activities do not bring added value and how they can be eliminated at no cost. All these measures contributed to increasing the efficiency of the production of lounge furniture.
EN
The paper presents the definitions of the term quality quoted in the literature on the subject. FMEA (Failure Mode and Effects Analysis) methodology was presented. A reloading ramp was characterized as the subject of the study. A cause-and-effect analysis of non-compliance in the finished product was performed using the Pareto-Lorenz diagram, Ishikawa diagram and brainstorming. The FMEA analysis of the assembly table indicated the elements of the workstation causing the most frequently occurring non-conformities. Based on the obtained results, corrective actions were proposed to reorganize the assembly station. The implemented activities made it possible to reduce the critical RPN coefficients for the elements of the assembly table and to shorten the time necessary to make one piece of the finished product.
PL
W artykule przedstawiono definicje pojęcia jakość przytaczane w literaturze przedmiotu. Zaprezentowano metodykę FMEA (Failure Mode and Effects Analysis). Scharakteryzowano rampę przeładunkową jako przedmiot badań. Dokonano analizy przyczynowo-skutkowej powstawania niezgodności w wyrobie gotowym z wykorzystaniem diagramu Pareto-Lorenza oraz diagramu Ishikawy i burzy mózgów. Dzięki przeprowadzonej analizie FMEA stołu montażowego wskazano elementy stanowiska powodujące najczęściej powstające niezgodności. Na podstawie uzyskanych wyników zaproponowano działania korygujące, mające na celu reorganizacje stanowiska montażu. Wdrożone działania naprawcze umożliwiły obniżenie krytycznych współczynników RPN w elementach stołu montażowego oraz skrócenie czasu niezbędnego do wykonania jednej sztuki wyrobu gotowego na stanowisku montażu.
EN
The paper deals with the implementation of a modified FMEA methodology according to the EU Commission Regulation no. 402/13 on a common safety method for risk assessment and evaluation in the railway sector. The basic goal is to create a methodology for risk identification regarding the safety of services in railway transport concerning railway crossings. Reason for this research was the fact that the manager of the railway infrastructure in Slovakia has problems related to accidents at railway crossings including problems with the quality of services when trains are delayed. Based on previous research, this area has been defined as a priority for risk identification. Accidents at level crossings are often the result of complex interactions between several factors. The results of the authors’ long-term research bring direct impact on the safety and quality of rail transport services. The first effect of the research is a detailed investigation of the causes of accidents, on which the new methodology is based. This is important because understanding the causes of accidents is the first step in eliminating them. The proposed new framework of the methodology provides guidance to the railway infrastructure manager on how to identify, analyze, evaluate and eliminate the risks of their effects.
EN
The revitalization of mining dumps in the Silesian agglomeration is a very difficult and complex problem. It has a substantial impact on the concepts of sustainable urban development. Other than the key areas including people, the environment and the economy, revitalization also refers to spatial management, and thus to a significant improvement in the functioning conditions of the local cities’ communities. The article describes an algorithm assessing the possibilities of revitalizing a mining dump by one of the Polska Grupa Górnicza’s mines. With legal status and location taken into account, several potential scenarios had been proposed, out of which one was chosen based on the adopted criteria. The chosen scenario had been subjected to further assessment using analyses such as SWOT/TOWS, FMEA, and QFD. The analyses had been carried out in order to acquire more effective and meaningful assessments, having taken social and economic aspects into consideration. In effect of the carried out analysis a recreational scenario was proposed. The adopted solution shows that the mine can continue its work in accordance with the principle of sustainable development as well as apply the concept of corporate social responsibility.
EN
With continuous improvements in the function and performance of ship equipment, mechanisms of failure have become more and more complicated. To avoid over-maintenance or under-maintenance in existing routine ship maintenance strategies, a ship-level method for repair decisions based on the preventive maintenance concept is proposed in this paper. First, the anticipated repair demand levels of key components are calculated using an improved failure mode and effects analysis (FMEA) method; second, a Weibull distribution model is established, and the parameters are estimated using the maximum likelihood estimation (MLE) to predict the characteristic life of the equipment; then, logical decision principles and rule-based reasoning (RBR) are used to determine the ship repair level and repair timing. Finally, the feasibility and application value of the proposed repair strategy were verified by case studies, and a ship-level system for repair decisions was established.
EN
Supply Chain Management (SCM) is a very important part of the industrial world, especially in the manufacturing sector. The development of the business world affects the complexity of the supply chain due to the lack of logistics infrastructure, quality of materials and components, and much more. Supply chain disruption risk mapping needs to be done due to high uncertainty, which is overcome by implementing a decision support system. Based on the background of the problem, supply chain disruption mapping uses the help of the Six Sigma method, which consists of 5 stages: Define, Measure, Analyze, Improve, and Control (DMAIC). The measurement of disturbance also uses the Failure Mode and Effect Analysis (FMEA) approach to prioritize risk. Risks that have a high assessment and cause failure need to be prioritized for improvement. This study aims to map supply chain disruptions in the current manufacturing industry based on the barriers, resistances, and causes detected for making a decision support system prototype. By implementing a decision support system in the supply chain process, it is hoped that the manufacturing industry can minimize potential losses from existing risks.
EN
FMEAs have been prioritized using RPN; however, a new standard has introduced AP for prioritization. This study seeks to determine if the number of required improvement actions increases, decreases, or stays the same when using AP in place of RPN. Statistical software was used to simulate 10,000 combinations of severity, occurrence, and detection. Both AP and RPN were calculated for the 10,000 combinations. Statistical hypothesis testing was performed to determine if there was a difference between RPNs when sorted by AP and to determine if there was a difference in actions required using RPN or AP. There is a statistically significant difference between RPNs when sorted by high, medium, and low AP. Using an RPN threshold equal to or greater than 100 would result in no change in the number of actions required if prioritizing by high and medium, but would result in fewer actions required if only high is used.
EN
Horizontal Directional Drilling (HDD) is a very complex technology. Although the installation of pipelines by means of this technology is often successful, examples of unsuccessful projects are also known. Due to the complexity of the technology, with the interaction of multiple processes, risks related to uncertainties in these processes play important role. These risks are related to the variability of underground strata, changing natural environment, changes in economic environment, as well as limitations of the equipment, technical disruptions and human factors. This paper describes the risk evaluation results of the FMEA and a Pareto– Lorenz analysis for 14 external risk factors (8 natural or environmental risk factors as well as 6 economic risk factors) in HDD technology. In the proposed approach not only the probability of the external risk factor occurrence was considered, but also its consequences and the ability to detect faults, which were not plainly separated and taken into account in the literature so far. Such an approach has shown the relationship between occurrence, severity and detection for the analysed external failures. Moreover, 40 detection possibilities for the external risks in HDD technology were identified. The calculated risk priority numbers enabled ranking HDD external failures and identified the most critical risks for which the suggested detection options were unsatisfactory and insufficient, and therefore other types of risk response actions need to be explored.
EN
Background: This study proposes a multi-criterion decision-making (MCDM) framework for operational supply chain risks assessment based on fuzzy failure mode effect analysis model. The proposed framework attempts to overcome some weaknesses and disadvantages of the traditional FMEA in many aspects such as (i) considering “degree of difficulty to eliminate risks” in the assessment process, (ii) using MCDM ranking methodology instead of a risk priority number, (iii) taking both subjective and objective weights of risk criteria into account. Application of the proposed framework used canned tuna production in Thailand as a case study. Methods: In this study, the operational supply chain risks assessment is treated as fuzzy MCDM problem. Subjective weights of risk criteria are determined by experts’ judgements. Objective weights are derived by Shannon entropy method. VIKOR approach is employed to prioritize the failure modes. A sensitivity analysis is performed to examine the robustness of the proposed framework. Results and conclusions: The findings from this study indicates that the most three critical FMs are “risk of product deterioration” followed by “risk of volatility raw materials supplied” and “risk of variabilities in production processes”, respectively. It recommends that the practitioners in canned tuna industry should give the priority to mitigate these risks. Although the present study focuses on canned tuna industry, the other similar industries can apply this proposed framework to assess their operational supply chain risks in the same way.
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