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

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.

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A Battaglini ◽  
A Orsi ◽  
G Icardi ◽  
S Vyshka ◽  
F Casabona ◽  
...  

Abstract Background Hospital construction and renovation works cause derangement, increasing mistake rate in healthcare workers and resulting in dust contamination and dispersal of fungal spores that could improve morbidity and mortality in severely immune suppressed patients. The necessary renovation of hematology ward at IRCCS Policlinico San Martino in Genoa, scheduled for February 2020 required a risk assessment to avoid logistical, organizational and clinical problems. Two possible scenarios were proposed: (1) displacement of patients in another building previously used as hematological unit or (2) department split in 2 sections to carry out renovation works in different periods. Risk management of the choice relies on failure mode and effects analysis (FMEA) method, a proactive tool based on risk priority number (RPN) that ranks failure modes in terms of occurrence, severity and detection. Aim of this work is to analyze and compare the two scenarios; a team of experts in Public health with specific skills in risk management and hospital governance used FMEA to single out failure modes and to compute RPN. Methods Thirteen failure modes were combined together in four major possible risks: (a) lengthening waiting times and delay haematopoietic stem cell transplant procedures, (b) exposure to airborne contamination, (c) cross contamination and water contamination, (d) wrong behaviors. RPN was computed for each failure mode. Results Relevant failure modes were: reduction of bedsides in both scenarios (7 bedsides lost in first scenario RPN1 540 vs 9 bedsides lost in second scenario RPN2 630), less air exchange/hour in the first scenario (4/h RPN1 500 vs 6/h RPN2 400) balanced by closeness to the work site in the second scenario(RPN2 500). First scenario total RPN was 2430, second scenario was 3250. Conclusions Using FMEA, we assessed the different risks profile of two scenarios. Although some residual risks persisted, the first scenario shows a lower risk profile for all major risks. Key messages Risk assessment is a key element to better understand hospital problems and improve environmental health in healthcare setting FMEA represents a useful tool to guide hospital manager in difficult choices concerning severely immune suppressed patients.


2019 ◽  
Author(s):  
Abdel Rafi' Mufrodi

Keripik apel merupakan suatu produk agroindustri sebagai upaya agar apel segar dapat bertahan lama dengan memertahankan nilai gizi serta meningkatkan nilai jual/tambah. Penelitian ini bertujuan menganalisis risiko proses pengemasan, mengidentifikasi faktor-faktor yang menyebabkan terjadinya risiko, dan usulan strategi mitigasi pada proses pengemasan keripik apel. Metode Failure Mode and Effect Analysis (FMEA) sebagai alat identifikasi dan penilaian terhadap risiko proses pengemasan dan Analytical Hierarchy Process (AHP) sebagai alat dalam pembobotan alternatif strategi mitigasi risiko secara hirarki. Hasil penelitian menunjukkan nilai prioritas risiko tertinggi masing-masing variabel yaitu kemasan tidak tersegel rapat 209,8 dan kinerja operator berbeda-beda 111,6. Strategi mitigasi untuk mengurangi risiko proses pengemasan keripik apel yaitu tenaga kerja, dan pada masing-masing alternatif strategi mitigasi risiko training pekerja 0,47, menjalin kemitraan 0,32, dan peningkatan akses informasi 0,12.


2009 ◽  
Vol 9 (1) ◽  
pp. 145-159 ◽  
Author(s):  
B. Mazzorana ◽  
J. Hübl ◽  
S. Fuchs

Abstract. During the entire procedure of risk assessment for hydrologic hazards, the selection of consistent and reliable scenarios, constructed in a strictly systematic way, is fundamental for the quality and reproducibility of the results. However, subjective assumptions on relevant impact variables such as sediment transport intensity on the system loading side and weak point response mechanisms repeatedly cause biases in the results, and consequently affect transparency and required quality standards. Furthermore, the system response of mitigation measures to extreme event loadings represents another key variable in hazard assessment, as well as the integral risk management including intervention planning. Formative Scenario Analysis, as a supplement to conventional risk assessment methods, is a technique to construct well-defined sets of assumptions to gain insight into a specific case and the potential system behaviour. By two case studies, carried out (1) to analyse sediment transport dynamics in a torrent section equipped with control measures, and (2) to identify hazards induced by woody debris transport at hydraulic weak points, the applicability of the Formative Scenario Analysis technique is presented. It is argued that during scenario planning in general and with respect to integral risk management in particular, Formative Scenario Analysis allows for the development of reliable and reproducible scenarios in order to design more specifically an application framework for the sustainable assessment of natural hazards impact. The overall aim is to optimise the hazard mapping and zoning procedure by methodologically integrating quantitative and qualitative knowledge.


2018 ◽  
Vol 25 (8) ◽  
pp. 2660-2687 ◽  
Author(s):  
Sachin Kumar Mangla ◽  
Sunil Luthra ◽  
Suresh Jakhar

PurposeThe purpose of this paper is to facilitate green supply chain (GSC) managers and planners to model and access GSC risks and probable failures. This paper proposes to use the fuzzy failure mode and effects analysis (FMEA) approach for assessing the risks associated with GSC for benchmarking the performance in terms of effective GSC management adoption and sustainable production.Design/methodology/approachInitially, different failure modes are defined using FMEA analysis, and in order to decide the risk priority, the risk priority number (RPN) is determined. Such priority numbers are typically acquired from the judgment decisions of experts that could contain the element of vagueness and imperfection due to human biases, and it may lead to inaccuracy in the process of risk assessment in GSC. In this study, fuzzy logic is applied to conventional FMEA to overcome the issues in assigning RPNs. A plastic manufacturer GSC case exemplar of the proposed model is illustrated to present the authenticity of this method of risk assessment.FindingsResults indicate that the failure modes, given as improper green operating procedure, i.e. process, operations, etc. (R6), and green issues while closing the loop of GSC (R14) hold the highest RPN and FRPN scores in classical as well as fuzzy FMEA analysis.Originality/valueThe present research work attempts to propose an evaluation framework for risk assessment in GSC. This paper explores both sustainable developments and risks related to efficient management of GSC initiatives in a plastic industry supply chain context. From a managerial perspective, suggestions are also provided with respect to each failure mode.


2018 ◽  
Vol 2 (2) ◽  
pp. e24 ◽  
Author(s):  
Louisa L Lo ◽  
Ian M Collins ◽  
Mathias Bressel ◽  
Phyllis Butow ◽  
Jon Emery ◽  
...  

2019 ◽  
Vol 26 (3) ◽  
pp. 770-785
Author(s):  
Hossam Elamir

Purpose The growing importance of risk management programmes and practices in different industries has given rise to a new risk management approach, i.e. enterprise risk management. The purpose of this paper is to better understand the necessity, benefit, approaches and methodologies of managing risks in healthcare. It compares and contrasts between the traditional and enterprise risk management approaches within the healthcare context. In addition, it introduces bow tie methodology, a prospective risk assessment tool proposed by the American Society for Healthcare Risk Management as a visual risk management tool used in enterprise risk management. Design/methodology/approach This is a critical review of published literature on the topics of governance, patient safety, risk management, enterprise risk management and bow tie, which aims to draw a link between them and find the benefits behind their adoption. Findings Enterprise risk management is a generic holistic approach that extends the benefits of risk management programme beyond the traditional insurable hazards and/or losses. In addition, the bow tie methodology is a barrier-based risk analysis and management tool used in enterprise risk management for critical events related to the relevant day-to-day operations. It is a visual risk assessment tool which is used in many higher reliability industries. Nevertheless, enterprise risk management and bow ties are reported with limited use in healthcare. Originality/value The paper suggests the applicability and usefulness of enterprise risk management to healthcare, and proposes the bow tie methodology as a proactive barrier-based risk management tool valid for enterprise risk management implementation in healthcare.


Sign in / Sign up

Export Citation Format

Share Document