282 research outputs found
MASISCoâMethodological Approach for the Selection of Information Security Controls
As cyber-attacks grow worldwide, companies have begun to realize the importance of being protected against malicious actions that seek to violate their systems and access their information assets. Faced with this scenario, organizations must carry out correct and efficient management of their information security, which implies that they must adopt a proactive attitude, implementing standards that allow them to reduce the risk of computer attacks. Unfortunately, the problem is not only implementing a standard but also determining the best way to do it, defining an implementation path that considers the particular objectives and conditions of the organization and its availability of resources. This paper proposes a methodological approach for selecting and planning security controls, standardizing and systematizing the process by modeling the situation (objectives and constraints), and applying optimization techniques. The work presents an evaluation of the proposal through a methodology adoption study. This study showed a tendency of the study subjects to adopt the proposal, perceiving it as a helpful element that adapts to their way of working. The main weakness of the proposal was centered on ease of use since the modeling and resolution of the problem require advanced knowledge of optimization techniques.This research was funded by Universidad de La Frontera, research direction, research project DIUFRO DI22-0043
Environmental Risk Management of Eyvashan Dam Using Traditional-FMEA and FIS-FMEA Methods
The implementation of large dam construction projects, despite the positive economic and social effects on the region, may endanger the development of the region with long-term negative effects. Therefore, it seems necessary to pay attention to this issue to reduce the negative effects of large dam construction projects and to consider them in the evaluation of benefits and costs for policy and codified planning in the water resources sector. In this research, Shannon's entropy-TOPSIS methodology and fuzzy TOPSIS methods have been used to identify and prioritize the environmental risk of Eyvashan dam in the construction and operation phases. Also, in this article, to improve the risk management of earthen dams, a comprehensive review was presented to overcome the disadvantages of traditional FMEA through the improvement of FMEA, with the combination of Fuzzy Inference System (FIS). The results show that in both Shannon's entropy-TOPSIS and fuzzy TOPSIS methods, soil erosion in the construction phase and aquatic in the exploitation phase is the major environmental risks. Evaluation of Risk Priority Number (RPN) in both traditional RPN and FIS-RPN modes shows a significant increase in RPN in fuzzy mode compared to the traditional method in all risk environments. Therefore, the urgency of action evaluation criteria in the FIS-FMEA mode is much more serious than in the traditional FMEA mode and requires more accurate identification and monitoring of risk environments
A new rough ordinal priority-based decision support system for purchasing electric vehicles.
This study proposes a novel multi-criteria decision-making (MCDM) model based on a rough extension of the Ordinal Priority Approach (OPA) to determine the order of importance of users' perspectives on Electric Vehicle (EV) purchases. Unlike conventional methods that rely on predefined ranks for criteria weighting coefficients, the proposed rough OPA method employs an aggregated rough linguistic matrix, enabling a more precise and unbiased calculation of interval values. Moreover, the model addresses inherent uncertainties by incorporating nonlinear aggregation functions, accommodating decision makers' risk attitudes for flexible decision-making. To validate the model's efficacy, a large-scale post-EV test drive survey is conducted, enabling the determination of relative criterion importance. Sensitivity analysis confirms the robustness of the model, demonstrating that marginal changes in parameters do not alter the ranking order. The results unveil the significance of the reliability criterion and reveal that vehicle-related characteristics outweigh economic and environmental attributes in the decision-making process. Overall, this innovative MCDM model contributes to a more accurate and objective analysis, enhancing the understanding of users' preferences and supporting informed decision-making in EV purchases
Benchmarking electric power companiesâ sustainability and circular economy behaviors : using a hybrid PLS-SEM and MCDM approach
This research examines the impact of firmsâ decision-making, crisis management, and risk-taking behaviors on their sustainability and circular economy behaviors through the mediating role of their eco-innovation behavior in the energy industry in Iraq. Firms are exploring applicable mechanisms to increase green practices. This requires the industry to possess the essential skills to overcome the challenges that reduce sustainable activities. We applied a dual-stage structural equation modeling (PLS-SEM) and a multi-criteria decision-making (MCDM) approach to explore the linear relationships between variables, determine the weight of the criteria, and rank energy companies based on a circular economy. The online questionnaire was sent to 549 managers and heads of departments of Iraqi electric power companies. Out of these, 384 questionnaires were collected. The results indicate that firmsâ crisis management, decision-making, and risk-taking behaviors are significantly and positively linked to their eco-innovation behavior. This study confirms the significant and positive impact of firmsâ eco-innovation behavior on their sustainability and circular economy behaviors. Likewise, eco-innovation behavior has a fully mediating role. For the MCDM methods, ranking energy companies according to the circular economy can support policymakersâ decisions to renew contracts with leading companies in the ranking. Practitioners can also impose government regulations on low-ranked companies. Thus, governments can reduce the problems of greenhouse gas emissions and other environmental pollution.peer-reviewe
Risk Analysis for Offshore Wind Turbines Using Aggregation Operators and VIKOR
In various engineering actions, potential hazards are reduced, calculated, or controlled using a variety of risk analysis methodologies. The FMEA, or Failure Mode and Effects Analysis, is a very efficient strategy that may be used in this situation. When evaluating safety concerns, failure modes\u27 likely causes and consequences are considered. Serious failures in the FMEA are identified using the Risk Priority Number (RPN). The RPN considers the effect of the probability of occurrence, probability of detection and severity by multiplying these three parameters. However, because of the formula\u27s various flaws, it is frequently criticized.
In the current work, a hybrid approach using ViseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and geometric averaging of ordered weights (OWGA) as an aggregation operator is used to assess risk for offshore wind turbines. While the OWGA technique is used to provide weight to risk indices, the VIKOR method is used to assess the relevance of failure modes of offshore wind turbine components. The method\u27s final findings show it solves the issues with the traditional RPN technique and produces more logical outcomes
Circular Economy and Sustainable Development: A Systematic Literature Review
Circular Economy put forth as an alternative to traditional linear model of extract-use-dispose along with the concept of Sustainable Development encompassing economic, environmental, and social aspects have garnered tremendous impetus among academics, practitioners and policymakers alike. The UN Sustainable Development Goals embraced by the member nations in 2015 based on the preceding Millenium Development Goals have been placed as the targets to be achieved as a part of holistic human development. In this backdrop, this paper examines the intersection of sustainability and circular economy with a focus on the three aspects of sustainable development, first the economic aspect by examining the relationship between GDP and circular economy, second the social economic aspect within the interaction of Circular Economy with Sustainable development and third the environmental-economical aspect by examining circularity and sustainability in waste management and waste valorisation. This paper achieves its objective through a systematic literature review of 1748 journal articles collected from Web of Science and SCOPUS database following PRISMA standards, network analysis of keywords, and manual review of texts. Four Research Questions are formulated:
RQ1: What are the major emergent topics in Circular Economy and Sustainable Development and how are they related?
RQ2: What is the relationship among CE and GDP in the CE and Sustainability?
RQ3: What are the relationships between CE and Sustainability?
RQ4: What are different use cases of valorisation of waste as CE tool, and can valorisation be sustainable?
RQ1 is answered by presenting hotspot of research on Circular Economy and Sustainable Development through keywords occurrence network analysis using VosViewer. This study identifies three clusters and seven thematic areas of research, along with 25 most used keywords. RQ2 is attended through review of the relationship between economic growth (Gross Domestic Product) and Circular Economy and proposes based on the review that CE is still at its infancy. The paper also discusses the appropriateness of using GDP as a measure of sustainable development. This paper addresses RQ3 by examining the relationship between Circular Economy and Sustainable Development through review of literatures. The indicators used to measure CE and SD are also discussed and summarised. This review finds that achieving SDGs require greater effort, and that the present status of achievement is a bleak picture. Further, the role of waste management and potentiality of waste valorisation to aid in circular economy and sustainable development is analysed to answer RQ4. Though there are ample potential, however the recycle rate is very minimal to quench the required level of circularity. While CE and SD are related, CE cannot be a universal panacea to global challenges like emissions reduction, energy consumption, climate change, gender equality, poverty, well-being, environmental protection etc. even though the impact of CE to achieve SD can be substantial. The paper recommends avenues for future research and presents the conclusion of the study
Sustainable supplier selection based on industry 4.0 initiatives within the context of circular economy implementation in supply chain operations
This study proposes a decision framework based on industry 4.0 initiatives within circular economy implementation to evaluate and select sustainable suppliers. In this context, sustainable supplier selection, industry 4.0, and circular economy have emerged as key topics of the contemporary operations management debate. The mix method approach of combining literature review and industrial expertâs inputs was adopted to identify four main categories and twenty-one sub-categories relevant to the supplier selection decision. A multi-criteria decision-making support tool composed of the âbest-worst methodâ (BWM) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) was applied to aid in the evaluation and selection of a sustainable supplier in Pakistanâs textile manufacturing company. The BWM approach was first applied to determine the relative importance weights, and then, VIKOR used to rank the suppliers. The findings of the study suggest that, the Pakistanâs textile manufacturing company places much emphasis and importance on âTechnological and Infrastructure (TI)â with weight of 0.356 and âa positive organizational culture towards implementation of industry 4.0 and circular economy initiativesâ (OG3) with global weight of 0.139 when embarking on such decisions, and ranked supplier 2 as the top sustainable supplier. Managerial and post-selection benchmarking negotiations and future research directions are also introduced
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