Construction zones can greatly affect the traffic flow on roadways, especially when lane closures are required. Traditionally, the Utah Department of Transportation (UDOT) has used traffic management specifications that only allow lane closures and road work to be done during predetermined hours or specifications that require a certain number of lanes to be open at all times. Recently, mobility-based work-zone traffic flow maintenance has been considered. This method requires continuous monitoring of mobility-based performance data and a mechanism to send alerts to the contractors when the mobility data does not meet the standards set by the specifications. UDOT recently tested mobility-based performance specifications at an urban arterial work zone and studied issues related to implementation of mobility-based performance specifications. Parallel to this experiment, UDOT funded a study to develop guidelines for implementing mobility-based performance specifications to manage traffic flow in work zones. Dynamically collecting mobility-based data such as travel time and speed is now feasible using technologies such as Bluetooth and microwave sensors. The core benefit of using mobility-based performance specifications is that they can give the contractor more flexibility in construction work scheduling while maintaining an acceptable level of traffic flow. If the level of traffic flow is not maintained, then the contractor is assessed a financial penalty. The penalty is determined by the amount of time where the flow is not maintained at a predetermined condition. To discuss issues and develop guidelines, a task force consisting of UDOT representatives, several representatives from the construction industry, and researchers from Brigham Young University was formed. Through three task force meetings, a set of 12 guidelines were developed, including guidelines about when mobility-based performance specifications should be used and which mobility data should be used. Some of the issues were difficult for the task force members to agree on, and a decision-making theory called the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to find best approaches to deal with some of the difficult issues associated with the implementation of mobility-based performance specifications in highway construction contracts. These guidelines should be reviewed as appropriate in the future as UDOT accumulates experience in using these types of specifications.

Yes / Purpose - The COVID-19 pandemic has caused significant disruptions to global supply chains (SCs), affecting the production, distribution, and transportation of goods and ser- vices. To mitigate these disruptions, it is essential to identify the barriers that have im- peded the seamless operation of SCs. This study identifies these barriers and assesses their impact on supply chain network (SCN). Design/methodology/approach - To determine the relative importance of different bar- riers and rank the affected industries, a hybrid approach was employed, combining the best-worst method (BWM) and the technique for order preference by similarity to an ideal solution (TOPSIS). To accommodate the inherent uncertainties associated with the pan- demic, a triangular fuzzy TOPSIS was used to represent the linguistic variable ratings provided by decision-makers. Findings - The study found that the airlines and hospitality industry was the most affected by the barriers, accounting for 46% of the total, followed by the healthcare industry (23%), the manufacturing industry (19%), and finally the consumer and retail industry (17%). Research limitation/implications - This study is limited to the four critical industries and nine identified barriers. Other industries and barriers may have different weights and rankings. Nevertheless, the findings offer valuable insights for decision-makers in SC management, aiding them in mitigating the impact of COVID-19 on their operations and enhancing their resilience against future disruptions. Originality/value - This study enhances our understanding of COVID-19’s impact on SCN and provides a framework for assessing disruptions using multi-criteria decision-making processes. The hybrid approach of BWM and TOPSIS in a fuzzy environment is unique and offers potential applicability in various evaluation contexts.

Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2016-06-13T13:42:00Z No. of bitstreams: 1 Elionai de Souza Magalhães_.pdf: 2039789 bytes, checksum: 5d3f44b9164f4c68bcb09e63c3a2dda0 (MD5) / Made available in DSpace on 2016-06-13T13:42:00Z (GMT). No. of bitstreams: 1 Elionai de Souza Magalhães_.pdf: 2039789 bytes, checksum: 5d3f44b9164f4c68bcb09e63c3a2dda0 (MD5) Previous issue date: 2016-03-04 / IFAM - Instituto Federal de Educação, Ciência e Tecnologia do Amazonas / A responsabilidade de tomar decisões em si não é fácil, e quando está relacionada à gestão de recursos na área pública é uma tarefa ainda mais difícil, pois está ligada a um alto nível de complexidade. Neste trabalho, é apresentado um modelo computacional baseado em análise de decisão multicritério para a priorização da alocação de recursos financeiros para as comunidades ribeirinhas da região de Coari, Amazonas. Com o surgimento da Pesquisa Operacional, foi possível o desenvolvimento de métodos que auxiliam os tomadores de decisão no que se refere à avaliação e escolha em ambientes que envolvem multicritérios. É o caso da gestão pública, cuja decisão sobre a alocação de recursos passa pela análise de diversos critérios. As técnicas de decisão multicritério, aliadas às novas tecnologias de informação e comunicação, possibilitam novas formas de conhecimento e maior qualidade em diversos serviços. O emprego destas tecnologias no desenvolvimento de ferramentas de auxílio à decisão para a alocação de recursos é de grande utilidade, tendo em vista a automação no processo de análise e rapidez na obtenção dos resultados, possibilitando agilidade na tomada de decisão. Neste trabalho, é desenvolvido um modelo computacional baseado na técnica de Auxílio à Decisão Multicritério para ajudar na alocação de recursos públicos em comunidades ribeirinhas do Amazonas. O modelo emprega a técnica TOPSIS de análise multicritério com o intuito de obter um ranking das comunidades, para assim indicar aquela com maior grau de prioridade para receber a alocação de recursos públicos. Os experimentos foram realizados assumindo um conjunto de seis critérios empregados na ordenação de oito regiões de comunidades ribeirinhas. No estudo realizado, a lista de priorização indicou a região de comunidades do Baixo Solimões como a prioritária para a alocação de recursos públicos e a robustez da priorização obtida na aplicação efetuada foi avaliada através da realização de uma análise de sensibilidade. / The responsibility of making decisions itself is not easy, and when it is related to the management of resources in the public sector is an even more difficult task, because it is linked to a high level of complexity. In this paper, we present a computational model based on multi-criteria decision analysis to prioritize the allocation of financial resources to the coastal communities of Coari region of Amazonas. With the emergence of Operational Research, development methods was possible that assist decision makers with regard to the evaluation and choice in environments that involve advanced. This is the case of public administration, whose decision on the allocation of resources involves the analysis of various criteria. The techniques of multi-criteria decision, combined with the new technologies of information and communication, enable new forms of knowledge and higher quality in different services. The use of these technologies in the development of the decision support tools for the allocation of resources is useful in view of automation in the process of analysis and speed in obtaining results, enabling agility in decision making. In this work, we developed a computational model based on the technique of Aid to Decision Multicriteria to assist in the allocation of public resources in riverine communities of Amazonas. The model uses the TOPSIS technique of multi-criteria analysis in order to obtain a ranking of the communities, so as to indicate that more priority to receive the allocation of public resources. The experiments were performed assuming a set of six criteria used in the ordination of eight regions of riverside communities. In the study, the list of priority indicated the region of the Lower Solimões communities as a priority for the allocation of public resources and the robustness of the obtained priority in the application made was assessed by performing a sensitivity analysis.

Many entrepreneurs and companies use loans to cover their business needs. Usually it is difficult to choose the best offer. The possible solution is the utilization of methods of multiple-criteria decision-making, which make the decision process easier. The goal of this thesis is to describe these methods and use them practically to choose the best loan offer. It was found out that most of the companies do not use these methods. The results are usually significantly affected by the criterion which was the most preferred. For the most of the companies the offer made by MONETA Money Bank, a.s. was the most favourable.

Submitted by Marcia Silva (marcia@latec.uff.br) on 2016-10-07T19:57:13Z No. of bitstreams: 1 Disssert Leandro Peçanha de Souza.pdf: 11466487 bytes, checksum: 099df51af11e59887ad31dab009228a8 (MD5) / Approved for entry into archive by Biblioteca da Escola de Engenharia (bee@ndc.uff.br) on 2017-01-26T12:26:11Z (GMT) No. of bitstreams: 1 Disssert Leandro Peçanha de Souza.pdf: 11466487 bytes, checksum: 099df51af11e59887ad31dab009228a8 (MD5) / Made available in DSpace on 2017-01-26T12:26:11Z (GMT). No. of bitstreams: 1 Disssert Leandro Peçanha de Souza.pdf: 11466487 bytes, checksum: 099df51af11e59887ad31dab009228a8 (MD5) Previous issue date: 2016-04-05 / A alta concorrência e a necessidade crescente de melhores resultados com recursos cada vez mais reduzidos impõem que as empresas selecionem e invistam em projetos que tenham maior potencial para gerar vantagem competitiva. O Comitê de TI (Tecnologia da Informação) é uma das estruturas de Governança de TI mais elementares e utilizadas nas organizações para potencializar o desempenho da TI, sendo que uma das suas principais atribuições consiste em priorizar os projetos de TI. Definir com clareza um portfólio alinhado aos objetivos estratégicos, não levando em conta somente fatores financeiros ou exclusivamente técnicos, é um problema de decisão multicritério complexo. Este estudo pretende demonstrar a utilização de uma metodologia de Apoio Multicritério à Decisão (AMD) através da aplicação de um método híbrido composto pelo AHP (Analytic Hierarchy Process) e TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), que permitirá ordenar (ranking) os projetos de investimento do portfólio da TI / The high competition and growing need for the best results with increasingly limited resources require companies to select and invest in projects that have the greatest potential to create a competitive advantage. The IT Committee (Information Technology) is one of the most basic IT Governance structures and is used in organizations to enhance IT performance, since one of its main attributes is prioritizing IT projects. Clearly defining a portfolio aligned to strategic objectives, taking into account not only financial or purely technical factors, is a complex multi-criteria problem for decision-making. This study aims to demonstrate the use of a Multi-criteria Decision Aid (MCDA) methodology, by applying a hybrid method composed of the AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), which will allow for sorting (ranking) IT portfolio investment projects

A fusion system sometimes requires the capability to represent the temporal changes of uncertain sensory information in dynamic and uncertain situation. A Bayesian Network can construct a coherent fusion structure with the hypothesis node which cannot be observed directly and sensors through a number of intermediate nodes that are interrelated by cause and effect. In some BN applications for observing a hypothesis node with the number of participated sensors, rank and select the appropriate options (different combination of sensors allocation) in the decision-making is a challenging problem. By user interaction, we can acquire more and useful information through multi-criteria decision aid (MCDA) as semi-automatically decision support. So in this study, Multi Attribute Decision Making (MADM) techniques as TOPSIS, SAW, and Mixed (Rank Average) for decision-making as well as AHP and Entropy for obtaining the weights of indexes have been used. Since MADM techniques have most probably different results according to different approaches and assumptions in the same problem, statistical analysis done on them. According to results, the correlation between applied techniques for ranking BN options is strong and positive because of the close proximity of weights suggested by AHP and Entropy. Mixed method as compared to TOPSIS and SAW is ideal techniques; moreover, AHP is more acceptable than Entropy for weighting of indexes.

The thesis describes the application of several methods of multicriterial evaluation of alternatives (MEoA) in various phases of the recruitment process for the position Corporate Account Manager in Telefónica O2 Czech Republic, a.s. In the first round, the group of all enrolled candidates is reduced using aspiration levels. In the second round, this narrowed down group goes through the Assessment Centre. Using other methods of MEoA, the most suitable candidate for the position is chosen.

Diploma thesis deals with analysis of energy resources. The aim is to map the potential of renewable resources in the Czech Republic and through multicriteria decision making to assess the potential investment options in renewable energy in the Czech Republic.

Increasing concern about global climate change has led to a growing interest in energy usage and water consumption. It is well known that changes in consumption habits lead to more efficient use of energy and water sources. Nowadays, globalization, environmental concerns, and the shortage of resources have led to an increase of stakeholder pressure on companies to expand their focus to sustainability. Also, the high impact that the savings can have in the financial status of the company. It is encouraging the headboards to study and improve the ways water and energy are being used within the processes. Significant economic savings and benefits for the environment could be achieved with slight changes in the company. As an overview, this project starts with the extraction of data from a platform for energy management in an industrial company. Then, it goes through the understanding of the energy and water usage data set. Later, a methodology to handle and process the data will be set. It is intending to extract relevant information using clustering. The idea is to compare the usage profiles between different factories, using key performance indicators and reducing the initial data set. Once the benchmarking is performed, some critical parameters will be selected to support the decision-making process related to investments to reduce the energy usage and water consumption in a specific location. Finally, the case of study will be implemented with the measurements from Alfa Laval. We will study how, from daily measurements with a very low investment and using the proper algorithms and methodologies, the main behaviours and features in an industrial location can be extracted from the utilization data. These characteristics can be used to develop strategies or productions schemes based on the interests of the energy manager and the company.

[pt] Na perspectiva de estimular o aprimoramento do processo de gestão da inovação pelas micro, pequenas e médias empresas (MPMEs) brasileiras e contribuir para formulação ou revisão de políticas públicas de Ciência, Tecnologia e Inovação (CTeI) voltadas para esse segmento, a presente dissertação tem como objetivo geral propor um modelo para monitorar e avaliar a capacidade inovativa de MPMEs. A pesquisa pode ser considerada descritiva, metodológica e aplicada. A partir dos resultados da revisão bibliográfica e documental sobre os temas centrais da pesquisa, desenvolveu-se um modelo para mensuração e avaliação da capacidade inovativa de MPMEs, com base na integração de dois métodos multicritério fuzzy de apoio à decisão – Fuzzy Analytical Hierarchy Process (FAHP) e Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS). Visando demonstrar a aplicabilidade desse modelo no contexto das MPMEs e explicitar seus diferenciais metodológicos em comparação a outros métodos de apoio à decisão, não combinados com a teoria de conjuntos fuzzy, realizou-se um estudo junto a 15 MPMEs participantes do Programa NAGI da PUC-Rio. Destacam-se como principais contribuições da pesquisa um modelo para mensuração e avaliação da capacidade inovativa de MPMEs, que considera a complexidade, subjetividade e incerteza como características inerentes a essa atividade, e um conjunto de indicadores compostos associados às três dimensões de capacidade inovativa contempladas no modelo proposto. / [en] From the perspective of stimulating the improvement of the process of innovation management by micro, small and medium enterprises (MSMEs) and contributing to the formulation or review of public policies concerning the area of Science, Technology and Innovation (CTandI), focusing on this segment, the aim of the dissertation is to propose a model to monitor and evaluate the innovative capacity of MSMEs. This research can be classified as descriptive, methodological and applied. From the bibliographic and documentary review on the central themes of the research, a model was developed to measure and evaluate the innovative capacity of MSMEs based on the integration of two fuzzy multi-criteria methods of decision support - Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS). Aiming to demonstrate the applicability of this model in the context of MSMEs and to explicit its methodological differentials in comparison to other methods for measuring the innovative capacity of enterprises, an empirical study with 15 MSMEs participants of the NAGI Program at PUC-Rio was carried out during the applied phase of this research. The main contributions are a model for measuring and evaluating the innovative capacity of MSMEs, which considers the complexity, subjectivity, and uncertainty as characteristics inherent to these activities, and a set of composed indicators associated with the three dimensions of the innovative capacity considered in the proposed model.