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A hybrid fuzzy multi-criteria decision-making model to evaluate the overall performance of public emergency departments: a case study

Ortiz Barrios, Miguel Angel; Alfaro-Saiz, Juan-Jose (Corporación Universidad de la Costa, 2020-10-05)

Performance evaluation is relevant for supporting managerial decisions related to the improvement of public emergency departments (EDs). As di®erent criteria from ED context and several alternatives need to be considered, ...
An integrated approach of multiple correspondences analysis (MCA) and fuzzy AHP method for occupational health and safety performance evaluation in the land cargo transportation

Jimenez Delgado, Genett Isabel; Balmaceda-Castro, Nidia; Hernández-Palma, Hugo; De-La-Hoz-Franco, Emiro; García Guiliany, Jesús Enrique; Martínez Ventura, Jairo Luis (Universidad de la Costa, 2019-06-19)

Land cargo transportation is one of the components of the logistics chain with high impact on economic and social development worldwide. However, problems such as top logistics costs, deficiencies in transportation ...
Assessing the Impact of lean tools on production and safety by a multicriteria decision-making model and statistical analysis: a case study in textile sector

Jose Carlos, Sá; Jorge, Joni Pinto; Santos, Gilberto; Félix, Maria João; Barreto, Luís; Jiménez-Delgado, Genett; Rondón Rodriguez, Carlos Andres; Vargas Mercado, Carlos (Lecture Notes in Computer ScienceGermany, 2021-07-29)

The global competitiveness creates an enormous pressure on companies as they need to reduce production costs in order to increase productivity. In this sense, the SMED and 5S tools appear as competent tools to reduce the ...
Improving the Performance in Occupational Health and Safety Management in the Electric Sector: An Integrated Methodology Using Fuzzy Multicriteria Approach

Jimenez-Delgado, Genett; Senior-Naveda, Alexa; Marín-Gonzalez, Freddy; García-Guiliany, Jesus; Fontalvo-Molina, Lina; Ruiz-Muñoz, Miguel; Hernández-Palma, Hugo; Santos-Hernandez, Bertha (Springer Verlag, 2020-07-10)

The electric sector is fundamental for the economic and social development of society, impacting on essential aspects such as health, education, employment generation, industrial production, and the provision of various ...
An integrated framework based on fuzzy AHP-TOPSIS and multiple correspondences analysis (MCA) for evaluate the technological conditions of the teleworker in times of pandemic: a case study

Hernandez, Leonel; Balmaceda-Castro, Nidia; Guerra-Renard, Jiseth; Charris Muñoz, Ana María; Solano Naizzir, Lorayne; Vargas Mercado, Carlos; alcazar franco, daniel jesus (Springer Verlag, 2021-07-29)

The COVID 19 pandemic has affected the daily routine of all people, both in their family and work environments, globally. As a result, many companies in practically all the productive sectors of the countries have required ...

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A hybrid fuzzy multi-criteria decision-making model to evaluate the overall performance of public emergency departments: a case study
...
Ortiz Barrios, Miguel Angel | 2020-10-05

Performance evaluation is relevant for supporting managerial decisions related to the improvement of public emergency departments (EDs). As di®erent criteria from ED context and several alternatives need to be considered, selecting a suitable Multicriteria Decision-Making (MCDM) approach has become a crucial step for ED performance evaluation. Although some methodologies have been proposed to address this challenge, a more complete approach is still lacking. This paper bridges this gap by integrating three potent MCDM methods. First, the Fuzzy Analytic Hierarchy Process (FAHP) is used to determine the criteria and sub-criteria weights under uncertainty, followed by the interdependence evaluation via fuzzy DecisionMaking Trial and Evaluation Laboratory (FDEMATEL). The fuzzy logic is merged with AHP and DEMATEL to illustrate vague judgments. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used for ranking EDs. This approach is validated in a real 3-ED cluster. The results revealed the critical role of Infrastructure (21.5%) in ED performance and the interactive nature of Patient safety (C þ R ¼ 12:771). Furthermore, this paper evidences the weaknesses to be tackled for upgrading the performance of each ED.

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An integrated approach of multiple correspondences analysis (MCA) and fuzzy AHP method for occupational health and safety performance evaluation in the land cargo transportation
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Jimenez Delgado, Genett Isabel | 2019-06-19

Land cargo transportation is one of the components of the logistics chain with high impact on economic and social development worldwide. However, problems such as top logistics costs, deficiencies in transportation infrastructure and the failure to adopt good operating practices in aspects such as quality, environment, and occupational safety and health affect the ability of companies to comply with the agreements, requirements, and regulations of the clients and other interested parties. One of the most relevant problems for the sector is associated with the high accident rates that make this medium less advantageous compared to other means of transport with impact on operational costs, on logistics indicators, on compliance with legal regulations and customer satisfaction. However, although there are legal standards and management standards in occupational safety and health, evaluating performance can become a difficult and subjective process, due to the complexity of the land cargo transportation and the different interest groups involved. Besides, there is little information in the literature that provides solutions for the industry. Therefore, this document presents an integrated approach between multi-criterion decision making models (MCDM) and the Multiple Correspondences Analysis (MCA) to facilitate the evaluation and improvement of occupational health and safety performance, with a logical process, objective, robust and using both qualitative and quantitative techniques, with real application in the land cargo transportation sector. First, the multivariate method of Multiple Correspondences Analysis (MCA) was used for the evaluation of a sample of companies in the industry, considering the factors and sub-factors identified in the first stage and performing correlational analyzes among the variables. Subsequently, a multicriteria decision-making model was designed to determine the factors and sub-factors that affect occupational health and safety performance through the technique of the Fuzzy Analytic Hierarchy Process (FAHP). Finally, improvement strategies are proposed based on the approaches suggested in this document.

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Assessing the Impact of lean tools on production and safety by a multicriteria decision-making model and statistical analysis: a case study in textile sector
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Jose Carlos, Sá | 2021-07-29

The global competitiveness creates an enormous pressure on companies as they need to reduce production costs in order to increase productivity. In this sense, the SMED and 5S tools appear as competent tools to reduce the waste associated with these processes. This work aims to study and assess some processes in a company in the textile sector. Improvement proposals supported in the SMED and 5S methodology are presented in different areas of the company. Advantages, investments, and respective return times are presented. Regarding to SMED, reductions in setup time in the order of 30–40% were obtained with investment return times between 6 and 7 months. The implementation of the 5S allowed to reduce the time and distance traveled for a given task. The reorganization of the area, it was possible to obtain a space gain of about 58 m2. For this purpose, a multi-criteria decision model was designed to diagnose the critical areas for the implementation of Lean tools. Then, a questionnaire was also applied to the workers, with the goal to assess the impact of the implementation of lean philosophy in the field of occupational safety.

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Improving the Performance in Occupational Health and Safety Management in the Electric Sector: An Integrated Methodology Using Fuzzy Multicriteria Approach
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Jimenez-Delgado, Genett | 2020-07-10

The electric sector is fundamental for the economic and social development of society, impacting on essential aspects such as health, education, employment generation, industrial production, and the provision of various services. In addition to the above, the growing trend in energy consumption worldwide could increase, according to expert estimates, up to 40% by 2030, which in turn increases the efforts of the public and private sector to meet increasing demands and increase access to energy services under requirements of reliability and quality. However, the electricity sector presents challenges and complexities, one of which is the reduction of health and safety risks for workers, service users, and other stakeholders. In many countries, this sector is classified as high risk in occupational safety and health, due to its complexity and the impact of accidents and occupational diseases on the health of workers, in infrastructure, in operating costs and competitiveness of the energy sector. Worldwide, there are rigorous regulations for the electricity sector, from local and national government regulations to international standards to guarantee health and safety conditions. However, it is necessary to develop objective and comprehensive methodologies for evaluating occupational safety and health performance that provides solutions for the electricity sector, not only to comply with standards and regulations also as a continuous improvement tool that supports the decision-making processes given the complexity of the industry and the multiple criteria that are taken into account when evaluating and establishing improvement strategies. In scientific literature, different studies focus on the analysis of accident statistics, the factors that affect accidents and occupational diseases, and the risk assessment of the sector. Despite these considerations, studies that focus directly on the development of hybrid methodologies for the evaluation and improvement of performance in occupational safety and health in the electrical sector, under multiple criteria and uncertainty are mostly limited. Therefore, this document presents an integrated methodology for improving the performance in occupational health and safety in the electric sector through the application of two techniques of Multi-criteria Decision Methods (MCDM) uses in environments under uncertainly. First, the fuzzy Analytic Hierarchy Process (FAHP) is applied to estimate the initial relative weights of criteria and sub-criteria. The fuzzy set theory is incorporated to represent the uncertainty of decision-makers’ preferences. Then, the Decision-making Trial and Evaluation Laboratory (DEMATEL) used for evaluating the interrelations and feedback among criteria and sub-criteria. FAHP and DEMATEL are later combined for calculating the final criteria and sub-criteria weights under vagueness and interdependence. Subsequently, we applied the proposed methodology in a company of the energy sector for diagnosis of performance in OHS to establish improvement proposals, the work path, and implementation costs. Finally, we evaluate the impact of the strategies applied in the improvement of the performance of the company.

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An integrated framework based on fuzzy AHP-TOPSIS and multiple correspondences analysis (MCA) for evaluate the technological conditions of the teleworker in times of pandemic: a case study
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Hernandez, Leonel | 2021-07-29

The COVID 19 pandemic has affected the daily routine of all people, both in their family and work environments, globally. As a result, many companies in practically all the productive sectors of the countries have required to rethink several critical aspects of the business itself so as not to be absorbed by the crisis, avoid as much as possible losses in financial, human, technological resources, etc., and even disappear. In these challenging times that we live in, the corporate technology platform must provide remote connection facilities to employees. Thus, Teleworking is facilitated in a safe, flexible way, which does not delay the processes and business goals. To define this technological roadmap, it is essential to review the current specialized components, the network infrastructure, and recommendations to improve and optimize existing processes. Concerning the application of integrated methodologies for evaluating Teleworker’s technological conditions during the COVID-19, some studies have been found related to health and safety conditions, growth in the implementation of this modality, and future trends in teleworking. However, the approach to technological requirements in teleworking during the COVID-19 pandemic is still limited and not sufficiently studied. To address this challenge, this paper presents an integrated framework based on the application of Fuzzy AHP, TOPSIS, and multivariate methods for the evaluation of technological conditions of teleworkers during the COVID-19 in the construction sector. The methodology’s design is based on the international guidelines and pertinent scientific literature in Telework. The results obtained evidence that the criteria “Infrastructure,” “Digital Connectivity Services,” “Applications,” and “Users” are relevant in the evaluation of technological conditions for Telework due to the few differences in their relative weights

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Browsing by Subject "Fuzzy AHP"

A hybrid fuzzy multi-criteria decision-making model to evaluate the overall performance of public emergency departments: a case study ﻿

An integrated approach of multiple correspondences analysis (MCA) and fuzzy AHP method for occupational health and safety performance evaluation in the land cargo transportation ﻿

Assessing the Impact of lean tools on production and safety by a multicriteria decision-making model and statistical analysis: a case study in textile sector ﻿

Improving the Performance in Occupational Health and Safety Management in the Electric Sector: An Integrated Methodology Using Fuzzy Multicriteria Approach ﻿

An integrated framework based on fuzzy AHP-TOPSIS and multiple correspondences analysis (MCA) for evaluate the technological conditions of the teleworker in times of pandemic: a case study ﻿

Envíos recientes

A hybrid fuzzy multi-criteria decision-making model to evaluate the overall performance of public emergency departments: a case study

An integrated approach of multiple correspondences analysis (MCA) and fuzzy AHP method for occupational health and safety performance evaluation in the land cargo transportation

Assessing the Impact of lean tools on production and safety by a multicriteria decision-making model and statistical analysis: a case study in textile sector

Improving the Performance in Occupational Health and Safety Management in the Electric Sector: An Integrated Methodology Using Fuzzy Multicriteria Approach

An integrated framework based on fuzzy AHP-TOPSIS and multiple correspondences analysis (MCA) for evaluate the technological conditions of the teleworker in times of pandemic: a case study

A hybrid fuzzy multi-criteria decision-making model to evaluate the overall performance of public emergency departments: a case study

An integrated approach of multiple correspondences analysis (MCA) and fuzzy AHP method for occupational health and safety performance evaluation in the land cargo transportation

Assessing the Impact of lean tools on production and safety by a multicriteria decision-making model and statistical analysis: a case study in textile sector

Improving the Performance in Occupational Health and Safety Management in the Electric Sector: An Integrated Methodology Using Fuzzy Multicriteria Approach

An integrated framework based on fuzzy AHP-TOPSIS and multiple correspondences analysis (MCA) for evaluate the technological conditions of the teleworker in times of pandemic: a case study