SARSMA TABLASI TEST MODELİNİN ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİ İLE SEÇİLMESİ: BİR UYGULAMA

Yapıların yer hareketi etkisindeki dinamik davranışlarının gözlemlenmesinde sarsma tablası test modelleri yaygın olarak kullanılmaktadır. Kullanım ihtiyacına ve özelliklerine göre sarsma tablası test modeli seçimi, çok sayıda parametreye ve koşula bağlıdır. Bu nedenle, bu seçim problemi çok kriterli bir karar verme problemi olarak düşünülebilir. Bu çalışmanın temel amacı, sarsma tablası modellerini birçok kritere göre değerlendirmektir. Bu amaçla bu çalışmada beş alternatif belirlenmiş ve sırasıyla AHP, TOPSIS ve ELECTRE çok kriterli karar verme (ÇKKV) yöntemleri uygulanmıştır. Çalışmanın sonuçları, beş farklı alternatifi karşılaştırarak aynı alternatifin üç yöntem için birinci olduğunu ortaya koymuştur. Ayrıca, bu çalışmada farklı ÇKKV yöntemlerinin seçim problemi üzerindeki etkisi gözlemlenmiştir. Bu çalışmanın bulgularının, sarsma tablası modellerinin mekanik ve teknik özellikleri konusunda bilgi almak isteyen tasarımcılara, uygulayıcılara ve araştırmacılara katkıda bulunması beklenmektedir

Application of the ANP to the prioritization of project stakeholders in the context of responsible research and innovation

[EN] This paper presents a methodology to assess the stakeholders¿ influence in a research project within the context of responsible research and innovation. The methodology is based on a combination of the multicriteria decision making technique analytic network process and the key areas of responsible research. The method allows ranking and ordering the project¿s stakeholders based on their influence upon its responsibility. The purpose of such an assessment is to help research teams to more efficiently devote their limited resources to stakeholder management. The procedure is applied to a case study of the Information and Communication Technology business sector. It is an ongoing project at an early phase of development. Influential stakeholders have been identified first, and have been further classified into groups based on their relative importance. The assessment of their influence has been based on up to 16 different criteria, mainly belonging to the framework of responsible research and innovation. In the case study, the most influential criterion was the Capability to promote public engagement, while Developers were found to be the stakeholders most contributing to the research project responsibility. However, as explained, this is a temporary situation, valid for the current project development situation. It may vary over time as criteria vary in weight and stakeholders vary in influence.The authors would like to thank to our anonymous referees for their constructive comments and suggestions that helped us to improve the quality of the paper. Also, to the “Bolívar Gana con Ciencia” program from the Gobernación de Bolívar (Colombia) for the financial support. For the same reason, the authors are grateful to the Spanish Agencia Estatal de Investigación for its support of the project Propuesta de Indicadores para Impulsar el Diseño de Una Política Orientada al Desarrollo de Investigación e Innovación Responsable en España (CSO2016-76828-R)Ligardo-Herrera, I.; Gómez-Navarro, T.; Gonzalez-Urango, H. (2018). Application of the ANP to the prioritization of project stakeholders in the context of responsible research and innovation. Central European Journal of Operations Research. 1-23. https://doi.org/10.1007/s10100-018-0573-4S123Akbari N, Irawan CA, Jones DF, Menachof D (2017) A multi-criteria port suitability assessment for developments in the offshore wind industry. Renew Energy 102:118–133. https://doi.org/10.1016/j.renene.2016.10.035Aragonés-Beltrán P, García-Melón M, Montesinos-Valera J (2017) How to assess stakeholders’ influence in project management? A proposal based on the analytic network process. 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An integrated multi-criteria decision-making framework for a medical device selection in the healthcare industry

Medical devices used in healthcare organizations are costly, and the process of selecting these devices requires considering multiple criteria such as effectiveness and ease of use. Careful selection of these devices is daunting since it entails the evaluation of various measures. This research investigates the selection process of the same type of medical devices, especially when alternatives are available, and the organization needs to make a good selection. A Multi-Criteria Decision-Making (MCDM) framework based on the integration of the Analytical Hierarchy Process (AHP) and ELimination Et Choice Translating Reality (ELECTRE) method is developed. The framework model includes 10 criteria, which are selected based on real-life inputs from professional physicians. Seven Ultrasound machines (referred to as alternatives) are evaluated using the developed framework. A case study is conducted on the best selection practice of an Ultrasound machine in a gynecology clinic based in the Kingdom of Jordan. Results revealed that the best and worst alternatives of ultrasound machines are identified and compared with all other options

Transforming medical equipment management in digital public health: a decision-making model for medical equipment replacement

IntroductionIn the rapidly evolving field of digital public health, effective management of medical equipment is critical to maintaining high standards of healthcare service levels and operational efficiency. However, current decisions to replace large medical equipment are often based on subjective judgments rather than objective analyses and lack a standardized approach. This study proposes a multi-criteria decision-making model that aims to simplify and enhance the medical equipment replacement process.MethodsThe researchers developed a multi-criteria decision-making model specifically for the replacement of medical equipment. The model establishes a system of indicators for prioritizing and evaluating the replacement of large medical equipment, utilizing game theory to assign appropriate weights, which uniquely combines the weights of the COWA and PCA method. In addition, which uses the GRA method in combination with the TOPSIS method for a more comprehensive decision-making model.ResultsThe study validates the model by using the MRI equipment of a tertiary hospital as an example. The results of the study show that the model is effective in prioritizing the most optimal updates to the equipment. Significantly, the model shown a higher level of differentiation compared to the GRA and TOPSIS methods alone.DiscussionThe present study shows that the multi-criteria decision-making model presented provides a powerful and accurate tool for optimizing decisions related to the replacement of large medical equipment. By solving the key challenges in this area as well as giving a solid basis for decision making, the model makes significant progress toward the field of management of medical equipment

Prioritizing stakeholders to boost collaborative R&I projects benefits: an analytic network process approach

A methodology was developed to prioritize stakeholders of a collaborative research and innovation (R&I) project in the circular bioeconomy area, towards enhancing its benefits from a multi-perspective point of view. The concept of R&I project benefits was broken down into criteria, evaluating different attributes related to the project outputs and outcomes, to the project management processes, and to the social, environmental and economic dimensions. The devised methodology was based on a combination of the analytic network process multicriteria decision making method and the key benefit categories from the P5 standard for sustainability in project management. The P5 standard has been shown to adequately frame the benefits to stakeholders of R&I projects in the topic of circular bioeconomy. Key benefits identified by the experts relate to the categories “society and costumers” and “consumption”. The following stakeholders should have priority in the development of the project stakeholder management plan: research team members, leaders at the consortium organizations, project management team members and environmental NGOs. Future research will include a longitudinal study of the perceived stakeholder and benefit categories priority over time.The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CIMO (UIDB/00690/2020 and UIDP/00690/2020), SusTEC (LA/P/0007/2021) and CEMMPRE (UIDB/00285/2020). This article is a result of the project “BacchusTech - Integrated Approach for the Valorisation of Winemaking Residues” (POCI-01-0247-FEDER-069583), supported by the Competitiveness and Internationalization Operational Programme (COMPETE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF)info:eu-repo/semantics/publishedVersio

Selecting the most suitable classification algorithm for supporting assistive technology adoption for people with dementia: A multicriteria framework

The number of people with dementia (PwD) is increasing dramatically. PwD exhibit impairments of reasoning, memory, and thought that require some form of self‐management intervention to support the completion of everyday activities while maintaining a level of independence. To address this need, efforts have been directed to the development of assistive technology solutions, which may provide an opportunity to alleviate the burden faced by the PwD and their carers. Nevertheless, uptake of such solutions has been limited. It is therefore necessary to use classifiers to discriminate between adopters and nonadopters of these technologies in order to avoid cost overruns and potential negative effects on quality of life. As multiple classification algorithms have been developed, choosing the most suitable classifier has become a critical step in technology adoption. To select the most appropriate classifier, a set of criteria from various domains need to be taken into account by decision makers. In addition, it is crucial to define the most appropriate multicriteria decision‐making approach for the modelling of technology adoption. Considering the above‐mentioned aspects, this paper presents the integration of a five‐phase methodology based on the Fuzzy Analytic Hierarchy Process and the Technique for Order of Preference by Similarity to Ideal Solution to determine the most suitable classifier for supporting assistive technology adoption studies. Fuzzy Analytic Hierarchy Process is used to determine the relative weights of criteria and subcriteria under uncertainty and Technique for Order of Preference by Similarity to Ideal Solution is applied to rank the classifier alternatives. A case study considering a mobile‐based self‐management and reminding solution for PwD is described to validate the proposed approach. The results revealed that the best classifier was k‐nearest‐neighbour with a closeness coefficient of 0.804, and the most important criterion when selecting classifiers is scalability. The paper also discusses the strengths and weaknesses of each algorithm that should be addressed in future research

Strategic hybrid approach for selecting suppliers of high-density polyethylene

Supplier selection is an important process for companies in the plastic sector due to its influence on firm performance and competitiveness. For a proper selection, a number of criteria from different aspects need to be considered by decision makers. Yet, as in different fields, because there are numerous criteria and alternatives to be considered in the plastic industry, choosing an appropriate multicriteria decision-making approach has become a critical step for selecting suppliers. Therefore, the aim of this research is to define the most suitable supplier of high-density polyethylene through the integration of powerful multicriteria decision-making methods. For this purpose, the fuzzy analytic hierarchy process (FAHP) is initially applied to define initial weights of factors and subfactors under uncertainty, followed by the use of decision-making trial and evaluation laboratory (DEMATEL) to evaluate interrelations between the elements of the hierarchy. Then, after combining FAHP and DEMATEL to calculate the final contributions of both factors and subfactors on the basis of interdependence, the technique for order of preference by similarity to ideal solution is used to assess the supplier alternatives. In addition, this paper also explores the differences between the judgments of decision makers for both AHP and DEMATEL methods. To do these, a case study is presented to demonstrate the validity of the proposed approach

Modelo de simulación dinámica para el incremento de la competitividad del clúster lácteo del Atlántico

Competitiveness currently plays an important role because it provides an increase in productivity and creates competitive advantages that allow you to maintain and achieve a better position than you have against your competition. Now, the initiatives given in the cluster contribute significantly to the competitive development of the sectors and the companies that belong to it, giving them benefits from the relationships and interactions that are generated between them and the cluster itself. According to the literature reviewed, it was determined that the Atlantic dairy cluster has defined actions that tend to promote the strategy determined from the competitive routes methodology. However, the most appropriate actions to enhance the growth of the cluster in relation to competitiveness have not yet been evaluated. This is why this research aims to evaluate and select the best strategies that allow increasing the competitiveness of the dairy cluster in the department of Atlántico, through a simulation model with system dynamics; Because a cluster complies with the characteristics of a dynamic system because it is changing over time, and it is also a complex system due to the number of variables and actors that are related in a non-linear way, forming feedback between the variables, non-linearities , delays, among other conditions of dynamic complexity. For this, it is necessary to follow the modeling process proposed by Sterman step by step.La competitividad en la actualidad juega un papel importante porque, proporciona un aumento en la productividad y crea ventajas competitivas que permiten mantener y alcanzar una mejor posición que se tenga frente a la competencia. Ahora bien, las iniciativas dadas en el clúster aportan significativamente al desarrollo competitivo de los sectores y de las empresas que pertenecen a este, dándoles beneficios a partir de las relaciones e interacciones que se generen entre ellas y al propio clúster. De acuerdo con la literatura revisada, se pudo determinar que el clúster lácteo del Atlántico cuenta con acciones definidas que propenden a impulsar la estrategia determinada a partir de la metodología de rutas competitivas. No obstante, aún no se han evaluado las acciones más apropiadas que potencialicen el crecimiento del clúster en relación con la competitividad. Es por esto que, esta investigación tiene como objetivo evaluar y seleccionar las mejores estrategias que permitan incrementar la competitividad del clúster lácteo del departamento del Atlántico, a través de un modelo de simulación con dinámica de sistemas; debido a que, un clúster cumple con las características de un sistema dinámico porque es cambiante en el tiempo, y también es un sistema complejo por la cantidad de variables y actores que se relacionan de manera no lineal, formándose realimentaciones entre las variables, no linealidades, retardos, entre otras condiciones de complejidad dinámica. Para esto, se hace necesario seguir paso a paso el proceso de modelado propuesto por Sterman

An AHP-topsis integrated model for selecting the most appropriate tomography equipment

Selecting a suitable Multi Criteria Decision-Making (MCDM) method is a crucial step in selecting appropriate medical equipment. The aim of the research is to define the most appropriate tomography equipment through the integration of the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. A hybrid model is presented. The AHP is used to define the weights of each criterion and sub-criterion through qualitative comparisons. Then, TOPSIS is used to evaluate the purchase options. This research provides decision makers with a scientific and rigorous decision support system useful in strategic and complex decision. A numerical example is also presented