The objective of this article is to select land for commercial buildings in Rio de Janeiro city using multiple criteria decision-making techniques. The techniques used were based on the Analytic Hierarchy Process (AHP) and Fuzzy Logic methods. These methods were chosen because of functionality, flexibility and great application in engineering problems for decision making involving multiple criteria. Its application was made through an opinion survey with expert builders, where 6 (six) factors for evaluation were selected in 10 (ten) commercial land alternatives. For the analytical operation of the methods, the software used were: Super Decisions and MATLAB®, respectively for each method, presenting the factors classified, in order of priority, in the selection of land, and ranking of the alternatives according to the defined scenario, facilitating in this way the process of selection of land for buildings, establishing a scientific way for the decision process.
INTRODUÇÃOO crescente aumento na demanda por habitação nos grandes centros urbanos provocou uma valorização considerável do metro quadrado nestes locais. Ainda assim, a procura tanto de imóveis quanto de terrenos disponíveis para construção tem sido frequente. Toda essa valorização trouxe à tona a investigação sobre a disponibilidade de terrenos para uma construtora ou um construtor adquirir visando ao aproveitamento da área para a construção de edificações (Diário do Nordeste, 2012).Dessa forma, a intensa e acelerada urbanização resulta em problemas, como a escassez de áreas adequadas para edificações nos grandes centros urbanos. A busca por terrenos disponíveis e apropriados para construção já é um problema comum às construtoras.Os estudos de localização do terreno certo englobam conjunto de procedimentos que trabalham na escala regional e urbana, chegando-se às condicionantes que determinarão a escolha do terreno que envolve complexas questões físicas e legais (Carvalho, 2005). Além da avaliação do valor, dimensões e localização, é necessário verificar se o solo e a água do local apresentam impactos gerados por atividades
This work aims to present the economic-financial feasibility, through the application of the Monte Carlo Method, to assist managers in the decision making regarding the investment of a service contract of a company specialized in Non-Destructive Tests, with the tests of Penetrant Liquid and Ultrasound, to which the company that takes the service establishes the requirements previously. The method was apply, in 5000 iterations, from the established parameters, for the initial investment and demand of the test diaries, which provided data regarding the average for the Net Present Value (NPV), Internal Rate of Return (IRR) and Profitability Index (PI), as well as the possible standard deviations, established by the coefficient of variation. Finally, after analyzing the data, it was check that the Method is useful to assist in the making of investment decisions, being feasible the adherence of the contract studied, through the analyzed data and established criteria.
A series of public policies are being adopted worldwide to seek greater participation of renewable energy sources in the energy matrix. Brazil is a country that has a predominantly renewable energy source, with hydroelectric energy being responsible for the largest portion, but with enormous potential to be exploited for solar energy. The objective of this study was to carry out an analysis of the economic viability of a photovoltaic matrix in the distributed microgeneration model from the residential consumer perspective. Through the Monte Carlo simulation, 10.000 iterations were performed and the NPV was calculated in each of them, then counted to recover the corresponding output probability distribution and verified the NPV probability to be greater than zero. The developed method has proved to be a reliable tool to support decision making and can be applied to several scenarios. The scenario adopted for the design of the photovoltaic system presented a 95.2% probability of returning with an NPV above zero and this makes it economically feasible. The main contribution of this paper is the replicability of the methodology used for other economic analysis studies.
Resumo: A construção civil apresenta altos índices de retrabalho, o que acarreta em custos adicionais e atrasos nos prazos dos projetos. Deste modo, diversos autores e entidades têm estudado o problema e buscado soluções
Palavras-chave: Retrabalho; Construção civil; Montagem industrial; Análise multicritério; AHP.Abstract: Civil construction has high rework rates, which entails additional costs and delays in project deadlines. In this way, several authors and entities have studied the problem and sought solutions to try to quantify and minimize the consequences of reworking. Several rework measurement methodologies have been developed, including: Construction Industry Institute Reduction Rework Program, Best Productivity Practices Implementation Index of the Construction Industry Institute, Methodology of the Construction Owners Association of Alberta, and Measuring and Classifying Construction Field Rework . In this context, this article aims to propose a procedure, based on the multicriteria analysis method Analytic Hierarchy Process -AHP, to assist in the process of selecting the most appropriate rework measurement methodology to be adopted in subsectors of the civil construction industry. The proposed procedure was applied to the industrial assembly segment, and the Rework Reduction Program methodology presented the best results regarding the rework measurement according to five criteria selected for analysis (coverage, deployment, costs, data entry and system operation), being the most indicated for use.
Este trabalho propõe a utilização de simulação pelo método de Monte Carlo para a determinar os custos associados as peças sobressalentes para diferentes níveis de estoque, seguindo um modelo de controle e provisionamento de estoques (S, S-1). Uma revisão da literatura acerca ao tema de dimensionamento de peças sobressalentes pela manutenção e simulação de Monte Carlo também é apresentada bem como o desenvolvimento de planilha de controle e aplicação para uma peça sobressalente de uma organização parte de uma empresa de capital intensivo situada no sul fluminense.
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