scholarly journals Risk Prioritization for Failure Modes in Mining Railcars

2021 ◽  
Vol 13 (11) ◽  
pp. 6195
Author(s):  
Mohammad Javad Rahimdel ◽  
Behzad Ghodrati
Keyword(s):  
Large Scale ◽  
Failure Modes ◽  
Transportation Systems ◽  
Control Measures ◽  
Rolling Stock ◽  
Railway Transportation ◽  
Effect Analysis ◽  
Risk Prioritization ◽  
Fuzzy Environment ◽  
Hierarchy Process

Railway transportation systems are generally used to transport minerals from large-scale mines. Any failure in the railcar components may cause delays or even catastrophic derailment accidents. Failure mode and effect analysis (FMEA) is an effective tool for the risk assessment of mechanical systems. This method is an appropriate approach to identify the critical failure modes and provide proper control measures to reduce the level of risk. This research aims to propose an approach to identify and prioritize the failure modes based on their importance degree. To achieve this, the analytical hierarchy process (AHP) is used along with the FMEA. To compensate for the scarcities of the conventional FMEA in using the linguistic variables, the proposed approach is developed under the fuzzy environment. The proposed approach was applied in a case study, a rolling stock operated in an iron ore mine located in Sweden. The results of this study are helpful to identify not only the most important failure modes but also the most serious and critical ones.

scholarly journals Graceful extensibility in asset management: extending the capacity to adapt in managing cyber-physical railway systems

2021 ◽  
Author(s):  
Jan-jaap Moerman ◽  
Jan Maarten Schraagen ◽  
Jan Braaksma ◽  
Leo van Dongen
Keyword(s):  
Asset Management ◽  
Adaptive Systems ◽  
New Technologies ◽  
Autonomous Driving ◽  
Cyber Physical Systems ◽  
Transportation Systems ◽  
Rolling Stock ◽  
Railway Transportation ◽  
Physical Systems ◽  
Railway Systems

AbstractGraceful extensibility has been recently introduced and can be defined as the ability of a system to extend its capacity to adapt when surprise events challenge its boundaries. It provides basic rules that govern adaptive systems. Railway transportation systems can be considered cyber-physical systems that comprise interacting digital, analog, physical, and human components engineered for safe and reliable railway transport. This enables autonomous driving, new functionalities to achieve higher capacity, greater safety, and real-time health monitoring. New rolling stock introductions require continuous adaptations to meet the challenges of these complex railway systems as an introduction takes several years to complete and deals with changing stakeholder demands, new technologies, and technical constraints which cannot be fully predicted in advance. To sustain adaptability when introducing new rolling stock, the theory of graceful extensibility might be valuable but needs further empirical testing to be useful in the field. This study contributes by assessing the proto-theorems of graceful extensibility in a case study in the railway industry by means of adopting pattern-matching analysis. The results of this study indicate that the majority of theoretical patterns postulated by the theory are corroborated by the data. Guidelines are proposed for further operationalization of the theory in the field. Furthermore, case results indicate the need to adopt management approaches that accept indeterminism as a complement to the prevailing deterministic perspective, to sustain adaptability and deal effectively with surprise events. As such, this study may serve other critical asset introductions dealing with cyber-physical systems in their push for sustained adaptability.

Improving risk evaluation in FMEA with a hybrid multiple criteria decision making method

2015 ◽  
Vol 32 (7) ◽  
pp. 763-782 ◽  
Author(s):  
Hu-Chen Liu ◽  
Jian-Xin You ◽  
Xue-Feng Ding ◽  
Qiang Su
Keyword(s):  
Decision Making ◽  
Failure Modes ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Analytic Hierarchy ◽  
Effect Analysis ◽  
Maintenance Strategies ◽  
Content Type ◽  
Safety And Reliability ◽  
Hierarchy Process

Purpose – The purpose of this paper is to develop a new failure mode and effect analysis (FMEA) framework for evaluation, prioritization and improvement of failure modes. Design/methodology/approach – A hybrid multiple criteria decision-making method combining VIKOR, decision-making trial and evaluation laboratory (DEMATEL) and analytic hierarchy process (AHP) is used to rank the risk of the failure modes identified in FMEA. The modified VIKOR method is employed to determine the effects of failure modes on together. Then the DEMATEL technique is used to construct the influential relation map among the failure modes and causes of failures. Finally, the AHP approach based on the DEMATEL is utilized to obtain the influential weights and give the prioritization levels for the failure modes. Findings – A case study of diesel engine’s turbocharger system is provided to illustrate the potential application and benefits of the proposed FMEA approach. Results show that the new risk priority model can be effective in helping analysts find the high risky failure modes and create suitable maintenance strategies. Practical implications – The proposed FMEA can overcome the shortcomings and improve the effectiveness of the traditional FMEA. Particularly, the dependence and interactions between different failure modes and effects have been addressed by the new failure analysis method. Originality/value – This paper presents a systemic analytical model for FMEA. It is able to capture the complex interrelationships among various failure modes and effects and provide guidance to analysts by setting the suitable maintenance strategies to improve the safety and reliability of complex systems.

scholarly journals Agricultural Risk Management Using Fuzzy TOPSIS Analytical Hierarchy Process (AHP) and Failure Mode and Effects Analysis (FMEA)

Agriculture ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 504
Author(s):  
Peyman Zandi ◽  
Mohammad Rahmani ◽  
Mojtaba Khanian ◽  
Amir Mosavi
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Failure Mode ◽  
Analytical Hierarchy Process ◽  
Failure Modes ◽  
Fuzzy Topsis ◽  
Control Measures ◽  
Management Tool ◽  
Agricultural Risk ◽  
Hierarchy Process

Failure mode and effects analysis (FMEA) is a popular technique in reliability analyses. In a typical FMEA, there are three risk factors for each failure modes: Severity (S), occurrence (O), and detectability (D). These will be included in calculating a risk priority number (RPN) multiplying the three aforementioned factors. The literature review reveals some noticeable efforts to overcome the shortcomings of the traditional FMEA. The objective of this paper is to extend the application of FMEA to risk management for agricultural projects. For this aim, the factor of severity in traditional FMEA is broken down into three sub-factors that include severity on cost, the severity on time, and severity on the quality of the project. Moreover, in this study, a fuzzy technique for order preference by similarity to ideal solution (TOPSIS) integrated with a fuzzy analytical hierarchy process (AHP) was used to address the limitations of the traditional FMEA. A sensitivity analysis was done by weighing the risk assessment factors. The results confirm the capability of this Hybrid-FMEA in addressing several drawbacks of the traditional FMEA application. The risk assessment factors changed the risk priority between the different projects by affecting the weights. The risk of water and energy supplies and climate fluctuations and pests were the most critical risk in agricultural projects. Risk control measures should be applied according to the severity of each risk. Some of this research’s contributions can be abstracted as identifying and classifying the risks of investment in agricultural projects and implementing the extended FMEA and multicriteria decision-making methods for analyzing the risks in the agriculture domain for the first time. As a management tool, the proposed model can be used in similar fields for risk management of various investment projects.

scholarly journals Economic security in railway transport as an effective component of stable development of railway transport

2021 ◽  
Vol 1 (1) ◽  
pp. 307-315
Author(s):  
Larysa Martseniuk ◽  
Oleksandra Kokitko ◽  
Diana Savchenko
Keyword(s):  
Large Scale ◽  
Road Transport ◽  
Economic Security ◽  
Transport Infrastructure ◽  
Rolling Stock ◽  
Railway Transport ◽  
Railway Transportation ◽  
Economic Activities ◽  
Private Funding ◽  
Passenger Transportation

The competitiveness of an enterprise in comparison with other entities working with it in the same plane has a significant impact on the results of its activities, including profit. If we talk about railway transport, in the field of providing passenger transportation within the country, then road transport has become a close and fairly significant competitor of railway transport, because the availability of cars to an ordinary citizen, an extensive network of bus routes, competitive cost and speed of delivery of a passenger from point A to point B by road vehicles have significantly weakened the place of rail transport in the passenger transportation market. The following factors negatively influence the volume of passenger transportation by rail in Ukraine: ineffective reforms, their obsolescence and protraction, ineffective industry management system, outdated financial model and tariff setting system. Ensuring a stable, profitable operation of a transport organization by identifying and meeting the needs of passengers to the maximum is the main goal of marketing in the field of passenger transportation. The current tough market conditions for the implementation of financial and economic activities in the field of railway transportation require a change in the policy of using the labor potential of Ukrzaliznytsia in order to increase its financial potential. In the article, the authors, in order to increase the competitiveness of railway transport, note not only on a thorough and large-scale renovation and reconstruction of railway transport infrastructure and rolling stock (with the help of public and private funding), but also the need to determine the needs of the passenger, his hopes and expectations from railway travel (for this it is proposed to create an appropriate marketing service in the structure of the railways, conduct regular surveys of passengers, etc.). The authors consider an increase in the motivation for high-quality performance of official duties by railroad employees as one of the important areas of increasing the competitiveness of rail passenger transportation, because it is they who come into direct contact with passengers and significantly affect the general impression of the passenger from the trip.

Failure mode and effect analysis: improving intensive care unit risk management processes

2017 ◽  
Vol 30 (3) ◽  
pp. 208-215 ◽  
Author(s):  
Roohollah Askari ◽  
Milad Shafii ◽  
Sima Rafiei ◽  
Mohammad Sadegh Abolhassani ◽  
Elaheh Salarikhah
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Endotracheal Tube ◽  
Failure Modes ◽  
Tissue Injury ◽  
Tertiary Hospital ◽  
Control Measures ◽  
Effect Analysis ◽  
Content Type ◽  
Continuous Quality

Purpose Failure modes and effects analysis (FMEA) is a practical tool to evaluate risks, discover failures in a proactive manner and propose corrective actions to reduce or eliminate potential risks. The purpose of this paper is to apply FMEA technique to examine the hazards associated with the process of service delivery in intensive care unit (ICU) of a tertiary hospital in Yazd, Iran. Design/methodology/approach This was a before-after study conducted between March 2013 and December 2014. By forming a FMEA team, all potential hazards associated with ICU services – their frequency and severity – were identified. Then risk priority number was calculated for each activity as an indicator representing high priority areas that need special attention and resource allocation. Findings Eight failure modes with highest priority scores including endotracheal tube defect, wrong placement of endotracheal tube, EVD interface, aspiration failure during suctioning, chest tube failure, tissue injury and deep vein thrombosis were selected for improvement. Findings affirmed that improvement strategies were generally satisfying and significantly decreased total failures. Practical implications Application of FMEA in ICUs proved to be effective in proactively decreasing the risk of failures and corrected the control measures up to acceptable levels in all eight areas of function. Originality/value Using a prospective risk assessment approach, such as FMEA, could be beneficial in dealing with potential failures through proposing preventive actions in a proactive manner. The method could be used as a tool for healthcare continuous quality improvement so that the method identifies both systemic and human errors, and offers practical advice to deal effectively with them.

scholarly journals Proactive risk assessment of vincristine use process in a teaching and referral hospital in Kenya and the implications

2019 ◽  
Vol 26 (3) ◽  
pp. 666-679 ◽  
Author(s):  
Emmanuel K Kurgat ◽  
Irene Weru ◽  
David Wata ◽  
Brian Godman ◽  
Amanj Kurdi ◽  
...  
Keyword(s):  
Failure Modes ◽  
Single Point ◽  
Referral Hospital ◽  
Control Measures ◽  
Flow Diagram ◽  
Effect Analysis ◽  
Middle Income ◽  
Middle Income Countries ◽  
Potential Failure ◽  
And Storage

Introduction The chemotherapy use process is potentially risky for cancer patients. Vincristine, a “High Alert” medicine, has been associated with fatal but preventable medication errors. Consequently, there is a need to improve the use of vincristine especially in lower- and middle-income countries where there are constraints with resources and often a lack of trained personnel to administer cancer medicines. However, where there is a rising prevalence of cancer cases. These concerns can be addressed by performing proactive risk assessments using Healthcare Failure Mode Effect Analysis (HFMEA) and implementing the findings. Methods A multidisciplinary health team driven by pharmacists identified and evaluated potential failure modes based on a vincristine use process flow diagram using a hazard scoring matrix in a leading referral hospital in Kenya. Results The processes evaluated were: prescribing, preparation and dispensing, transportation and storage, administration and monitoring of the use of vincristine. Seventy-seven failure modes were identified over the three-month study period, of which 25 were classified as high risk. Thirteen were adequately covered by existing control measures while 12 including one combined mode required new strategies. Two of the failure modes were single-point weaknesses. Recommendations were subsequently made for improving the administration of vincristine. Conclusions HFMEA is a useful tool to identify improvements to medication safety and reduction of patient harm. The HFMEA process brings together the multidisciplinary team involved in patient care in actively identifying potential failure modes and owning the recommendations made, which are now being actively followed up in this hospital. Pharmacists are a key part of this process.

scholarly journals Large-scale triaxial and box testing on railroad ballast: a review

2019 ◽  
Vol 1 (12) ◽  
Author(s):  
Yahia Alabbasi ◽  
Mohammed Hussein
Keyword(s):  
Mechanical Behavior ◽  
Large Scale ◽  
Experimental Approach ◽  
Load Condition ◽  
Experimental Tests ◽  
Basic Element ◽  
Transportation Systems ◽  
Extensive Literature ◽  
Railway Transportation ◽  
Set Up

Abstract The use of railway transportation systems has been increased throughout the years. The conventional ballasted tracks have been used widely in many countries around the world. Ballast material is the basic element of ballasted tracks. Ballast degrades and deforms after service. Therefore, periodical ballast maintenance is needed which is a cost and time expensive activity. Understanding ballast mechanical behavior leads to better design and efficient maintenance. From the literature, experimental approach is used to understand the mechanical behavior of railroad ballast. Traditional experimental tests provide inaccurate results due to the large ballast particle size with relative to sample size. Researchers used large scale triaxial and box tests extensively to understand the mechanical behavior of railroad ballast. The target of this paper is to present a concise review of the extensive literature presented on the mechanical behavior of railroad ballast using large scale triaxial and box testing. It discusses the various aspects of large-scale equipment such as apparatus’ set-up, size, material and shape, simulated load condition and test purpose. It presents the key findings of the large-scale triaxial and box tests in understanding ballast mechanical behavior.

scholarly journals Integrated Decision-Making Approach Based on SWARA and GRA Methods for the Prioritization of Failures in Solar Panel Systems under Z-Information

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 310
Author(s):  
Saeid Jafarzadeh Ghoushchi ◽  
Mohd Nizam Ab Rahman ◽  
Diba Raeisi ◽  
Elnaz Osgooei ◽  
Majid Jafarzadeh Ghoushji
Keyword(s):  
Failure Modes ◽  
Solar Panel ◽  
Gray Relational Analysis ◽  
Ratio Analysis ◽  
Symmetric Form ◽  
Effect Analysis ◽  
Integrated Method ◽  
Risk Prioritization ◽  
Relational Analysis ◽  
Fuzzy Gra

Encountering a problem or error in the final stages of providing products or services increases costs and delays scheduling. The key task is to ensure quality and reliability in the early stages of the production process and prevent errors from occurring from the beginning. Failure mode and effect analysis (FMEA) is one of the tools for identifying potential problems and their impact on products and services. The conventional FMEA technique has been criticized extensively due to its disadvantages. In this study, the concepts of uncertainty and reliability are considered simultaneously. The processes of weighting risk factors, prioritizing failures by using the stepwise weight assessment ratio analysis (SWARA)–gray relational analysis (GRA) integrated method based on Ζ-number theory and complete prioritization of failures are implemented. Crucial management indices, such as cost and time, are considered in addition to severity, occurrence and detection factors along with assigning symmetric form of the weights to them. This, in turn, increases the interpretability of results and reduces the decision-maker’s subjectivity in risk prioritization. The developed model is implemented on solar panel data with 19 failure modes determined by the FMEA team. Results show that the proposed approach provides a more complete and realistic prioritization of failures than conventional FMEA and fuzzy GRA methods do.

scholarly journals Railway Vehicle Energy Efficiency as a Key Factor in Creating Sustainable Transportation Systems

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5211
Author(s):  
Małgorzata Ćwil ◽  
Witold Bartnik ◽  
Sebastian Jarzębowski
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Life Cycle Cost ◽  
Real Life ◽  
Transportation Systems ◽  
Sustainable Transportation ◽  
Rolling Stock ◽  
Railway Vehicle ◽  
Railway Transportation ◽  
Significant Difference

Railway transit forms the backbone of sustainable transportation systems, which are necessary to limit the effects of global warming. In this paper, the authors seek to determine whether there is a statistically significant difference in energy consumption between distinct railway vehicle types. Firstly, the energy consumption measurement methods in the railway transportation sector are described and compared to each other in respect to precision and cost. Secondly, the use of energy consumption as a criterion in rolling stock tenders with the associated norm is analysed, particularly with regard to the life-cycle cost of railway vehicles. In the next part real life data on energy consumption of six distinct passenger electrical railway vehicle types is presented and analysed in order to compare the efficiency of different types of rolling stock. The differences in energy efficiency between rolling stock types may be used to improve the procurement process ensuring train operating companies obtain less energy-consuming vehicles.

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