Pairwise comparison based failure mode and effects analysis (FMEA)

Kulcsár, Edina; Csiszér, Tamás; Abonyi, János

doi:10.1016/j.mex.2020.101007

Cited by 12 publications

(9 citation statements)

References 11 publications

(14 reference statements)

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“…The members of the FMEA team evaluate the risks in pairs based on a defined scale from 0-9, where 0 means equally critical and 9 means extremely critical. The scale was created from the fundamental scale of AHP (Analytic Hierarchy Process), which is a decision-making method [6]. This scale is based on the three evaluation factors, namely severity, occurrence and detection.…”

Section: Methodsmentioning

confidence: 99%

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Evaluation of PC-FMEA Using Network Analysis

Ungvári¹,

Gyurika²

2022

Hung. J. Ind. Chem.

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PC-FMEA is a method that combines the pairwise comparison and basic FMEA (Failure Modes and Effects Analysis) methods. Using the pairwise comparison, which of the risks is more severe, common or noticeable can be determined. The results evaluated by the pairwise comparison can be modeled with networks, where the risks can be ranked according to the criteria using the PageRank and weighted in-degree values. Applying these two solutions together, a form of risk assessment can be created where risks are assessed by pairwise comparisons and the results analyzed using network research tools. The resulting method also provides two types of evaluations to rank the risks and also facilitates visualization. This study aimed to develop the application of PC-FMEA in network research.

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Section: Methodsmentioning

confidence: 99%

“…According to the three criteria, the risks are assessed by the pairwise comparison. The essence of the pairwise comparison can be grasped in the form of a prepared table, the output of which is the ranking of risks [6].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of PC-FMEA Using Network Analysis

Ungvári¹,

Gyurika²

2022

Hung. J. Ind. Chem.

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“…Measurements and statistics are needed to make decisions using this method. AHP has been widely applied in multi-objective, multi-criteria and multi-party decision making (Kulcsár et al, 2020). Decision making in improving fertilization performance is important to do so as to reduce the impact of risk.…”

Section: Literature Reviewmentioning

confidence: 99%

Increasing Performance of Oil Palm NPK Fertilization With Risk Management and Analytic Hierarchy Process (Ahp)

Kurniawan

Hariadi

2022

JEMEB

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This research is intended to improve the performance of oil palm fertilization by examining the fertilizer procurement process. The research design that will be carried out in this study is based on the problems studied using descriptive analysis methods. Measurement of priority risk using FMEA and formulation of mitigation strategies using AHP (Analytic Hierarchy Process) by collecting data through observation, questionnaires with stakeholders who have expertise in their respective fields at the research site. One of the plantation crops that are widely cultivated by large plantation companies is oil palm. The moratorium on oil palm plantation permits for the addition of new land for 3 years encourages companies to increase crop productivity on existing plantation lands, one of which is fertilization. Constraints experienced in fertilizing on mature plants are the incompatibility of the fertilizer applied to the planned one. So that the increase in fertilization performance can be done through improvements in the procurement process. The purpose of this research is to study the risk priorities in the planning process to the acceptance of fertilizers in the procurement of fertilizers. The results showed that the priority risk of fertilizer procurement planning is that the budget availability is not in accordance with the recommendations (RPN 27), the supplier selection process is the announcement of the old tender (RPN 18), the dropping/delivery process is a late contract signed (RPN 18), the acceptance process is that the fertilizer is accepted. past the time period (RPN 18). The criteria are fertilizer procurement planning, supplier selection, fertilizer delivery and fertilizer receipts with successive values of 0.575, 0.214, 0.134, 0.077. The alternatives are ensuring budget adequacy, adding fertilizer suppliers, improving communication between fertilizer providers and users, determining the timing of fertilizer application, increasing the frequency of fertilizer quality inspections and using information technology in fertilization. Improving the performance of fertilizer procurement can be done with three main strategies, namely improving the budgeting system, improving procurement documents, selecting suppliers with a multi-winner system.

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“…It usually takes time to perform the FMEA well. In order to overcome the fact that FMEA is limited to normal expectations of occurring failures, some of the researches propose to combine FMEA with AFD (anticipatory failure determination) and/or AHP (analytical hierarchy processes) (Thurnes et al 2015;Mzougui and Felsoufi 2019;Kulcsár et al 2020). Additionally, some studies propose hybrid models, for example with fuzzy methods (Fuzzy Preference Programming, Fuzzy Cognitive Maps and others) as was proposed by (Baykasoglu and Gölcük 2017).…”

Section: Failure Mode and Effects Analysis (Fmea)mentioning

confidence: 99%

Decentralized Enterprise Risk Management Issues under Rapidly Changing Environments

Bakos

Dumitraşcu

2021

Risks

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Under the growing complexity of manufacturing processes, supply chains, markets and stakeholder expectations, enterprise risk management (ERM) has become an extremely important, probably yet still underdeveloped, management function. Enterprise risk management theory and practice should keep pace with the changes of rapidly changing environments, through new, more adaptive approaches. The article presents some of the results of a longitudinal survey at Eastern-European manufacturing organizations made on risk management techniques. The goal of the research was the study of risk management techniques under rapidly changing environments in highly standardized industries (pharmaceutical and automotive). The research was focused on the role of human resources in handling technology-related/operational risks and to what extent a decentralized risk management is present. Multidisciplinary cooperation, the selection of the teams, communication and the decision making within the team was analysed. During our research few common risk analysis routines were identified at the studied organizations. Through an interview-based qualitative survey, possible weaknesses of common risk identification techniques were identified. The article presents three risk evaluation methods with the same features. The answers provided during the interviews indicate that risk assessment techniques are mostly centralized (coordinated by a single person/unit), linear (based on If-Then construct) and rigid, definitively not suitable when quick changes are in the organization environment.

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Pairwise comparison based failure mode and effects analysis (FMEA)

Cited by 12 publications

References 11 publications

Evaluation of PC-FMEA Using Network Analysis

Evaluation of PC-FMEA Using Network Analysis

Increasing Performance of Oil Palm NPK Fertilization With Risk Management and Analytic Hierarchy Process (Ahp)

Decentralized Enterprise Risk Management Issues under Rapidly Changing Environments

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