Abstract In recent years, the analysis of development conditions during the operation phase has gained attention, specially using Building Information Modeling (BIM). In this context, this research aims to delineate the frontiers of knowledge and identify future research directions with regard to the uses of BIM for the management, operation and maintenance of facilities. A mixed review method was employed, which combined scientometric analysis and a systematic literature review. To conduct the review, 4050 publications were initially retrieved from the Scopus database, which were filtered using the PRISMA protocol and resulted in 1004 publications to be analyzed. The frequency of sources and citations and the networks of co-occurrence of keywords, co-authorship of authors and countries composed the first analysis. Then, the systematic analysis of the data set was carried out, grouping the surveys into eight different categories. As a result, it was possible to identify that the field “BIM for management, operation and maintenance of facilities” is growing and that the purposes of application in this area have been expanded, in addition to there being a promising association of emerging technologies with BIM for this purpose. years attention BIM. . (BIM) context management facilities employed 405 database 100 analyzed cooccurrence co occurrence keywords coauthorship authorship Then out categories result expanded purpose (BIM 40 10 4 1

Resumo Nos últimos anos a análise das condições de empreendimentos durante a fase de operação tem ganhado atenção, inclusive com o uso do Building Information Modeling (BIM). Neste âmbito, esta pesquisa tem por objetivo delinear as fronteiras do conhecimento e identificar direções de pesquisa futuras no que diz respeito aos usos do BIM para fins de gestão, operação e manutenção de instalações. Foi empregado um método misto de revisão que associou a análise cientométrica e revisão sistemática da literatura. Para condução da revisão inicialmente foram identificadas 4050 publicações da base de dados Scopus, que foram filtrados por meio do protocolo PRISMA e resultaram em 1004 publicações a serem analisadas. A frequência de fontes e citações e as redes de coocorrência de palavras-chave, de coautoria e de países compuseram a primeira análise. Em seguida, a análise sistemática do conjunto de dados foi realizada com o agrupamento das pesquisas em oito categorias diferentes. Como resultado, foi possível identificar que o campo “BIM para gestão, operação e manutenção das instalações” está em crescimento e que as finalidades de aplicação neste âmbito têm sido ampliadas, além de haver uma associação promissora das tecnologias emergentes com o BIM para este fim. atenção BIM. . (BIM) gestão instalações literatura 405 Scopus 100 analisadas palavraschave, palavraschave palavras chave, chave palavras-chave seguida diferentes resultado ampliadas fim (BIM 40 10 4 1

ABSTRACT The Flexible and Interactive Tradeoff (FITradeoff) multicriteria method was developed under the scope of the Multiattribute Value Theory (MAVT) to elicit preferences under a partial information perspective. The flexibility of this method has been recently enhanced by the combination of two paradigms of preference modeling in the decision process, namely elicitation by decomposition (ED) and holistic evaluation (HE), improving the preferences elicitation task in a sense that fewer elicitation questions are expected to be answered by the Decision Maker (DM) to find a recommendation for the multicriteria decision making (MCDM) problem. The combination of two preference modelling paradigms in FITradeoff is an innovative characteristic on MCDM methods which deserves further analysis on its implications for the practice of decision making, not yet investigated in previous works. Considering that, this work aims to evaluate the impact of conducting HE in FITradeoff in terms of the expected reduction of the number of questions (NQ) that shall be answered to obtain the problem results. To do so, a simulation study has been carried out, in which multiple criteria problems have been generated and solved by simulating different preferences profiles. Hypotheses on the reduction of the number of questions were formulated and tested for identifying the actual effect of two different types of HE in the elicitation process: selection of the best alternative and elimination of the worst alternative considering a previously defined subset. Besides, we also analyze the relationship between the HE effects and important variables of MCDM problems such as number of criteria (NC), number of alternatives (NA), and weights distribution patterns (WD). The results obtained show that holistic evaluation judgments have a significant impact on the reduction of effort made by the DM in the elicitation process, in a sense that the total number of questions reduces in a significant manner, considering either selection tasks or elimination tasks in HE. (FITradeoff MAVT (MAVT perspective process ED (ED HE, , (HE) (DM (MCDM works NQ (NQ so out profiles subset Besides NC, NC (NC) NA, NA (NA) WD. WD . (WD) manner (HE (NC (NA (WD

ABSTRACT Aggregate Production Planning (APP) aims at balancing the forecast demand for product families with the available production resources, thus allowing changes to be made in the system and the best action strategy to be found. APP decisions are strategic decisions for the organization, which take an intermediate time horizon which spans 12 months, in general. As different issues may influence business success, this kind of decision problem will take multiple objectives into account, when a strategic view is considered. Conflicts between objectives frequently increase the complexity of APP problems. In order to deal with this kind of problem, this paper proposes a multi-criteria decision model considering the five objectives related to manufacturing strategy, namely: quality, speed, dependability, flexibility, and cost. By applying a multi-objective optimizing model which considers the organization’s strategical objectives, and by using the NSGA-II algorithm, a subset of representative solutions of the Pareto Frontier is obtained, thereby enabling the application of the FITradeoff method. A multi-criteria method, such as the FITradeoff, assists Decision Makers (DMs) in choosing a production plan more suitable to their objectives. The results show that the FITradeoff method contributes to the evaluation of solutions by aiding the DM to consider a significant set of alternatives while at the same time reducing the cognitive effort that he/she needs to make. (APP resources found organization 1 months general success account considered problems multicriteria multi criteria namely quality speed dependability flexibility cost multiobjective objective organizations s NSGAII NSGA II algorithm obtained DMs (DMs heshe he she make

ABSTRACT Facility location-related decision problems pose a significant challenge for managers due to the multiple and conflicting factors involved. Moreover, incorrect decisions can lead to substantial impacts on companies' long-term strategic planning, resulting in losses for the business. This paper deals with a facility location problem in the educational sector in the northeast region of Brazil, which concerns the definition of the best location to place a private sector technical school, considering multiple objectives throughout a multicriteria approach. The decision-making process is structured based on a 9-step multicriteria model, and the preference elicitation phase is aided by the Flexible and Interactive Tradeoff (FITradeoff) method, using partial information provided by the decision-maker (DM). In the application presented in this paper, preference modeling is conducted considering the combination of two preference elicitation paradigms in the FITradeoff decision process: elicitation by decomposition and holistic evaluations, throughout a flexible approach. The DM’s preferences are elicited interactively, by means of a Decision Support System (DSS). At each interaction, the information given by the DM acts as constraints for a linear programming problem (LPP) model, which is computed in order to verify the potential optimality of each alternative. At the end of the elicitation process, a sensitivity analysis is performed so as to verify the robustness of the results obtained. Insights on the preference modeling paradigms combination with potential advantages for the decision process are also discussed in this paper. locationrelated related involved Moreover companies longterm long term planning business Brazil school approach decisionmaking making 9step step 9 model (FITradeoff method decisionmaker maker DM. . (DM) evaluations DMs s interactively DSS. DSS (DSS) interaction LPP (LPP alternative obtained (DM (DSS

ABSTRACT Private banking is one of the most profitable services offered by financial institutions in Brazil. In this service, a client should consider the suitability of a range of banking product, during his or her life based on dynamic objectives. It is a very complex service that involves regulation from governmental agencies, financial institutions’ interests, and clients’ objectives. It is not uncommon for these aspects to be conflicting, hindering the decision-making process and leading to unwanted decisions. This paper describes the development of a decision support system (DSS) for private banking, called OptPrivate, that integrates the suitability assessment with the portfolio selection, enabling the investor to choose a portfolio based on several and conflicting objectives. The DSS considers the investment selection problem in two interconnected subproblems: suitability and capital allocation. In the former, the DSS is based on an integrated modeling approach that considers legal aspects and investors’ preferences throughout a fuzzy multiple-attribute decision-making approach (MADM), called FTOPSIS-Class. In the latter, a fuzzy multi-objective optimization model uses the sorting results from the previous step to define a portfolio, simultaneously considering risk, return, and the investor’s profile. To facilitate the DSS application, linguistic variables are used in several aspects of the decision-making process, including risk exposure. The DSS was validated using field tests at a well-respected private bank in Brazil. The DSS recommends more suitable portfolios, in line with the investor’s profile, with greater profitability and less volatility than those recommended by the financial analysts for all test cases.

Este artigo apresenta um modelo de decisão multicritério para priorização de sistemas de informação com base no método PROMETHEE. O modelo apresenta uma ordenação de módulos de sistemas de informação a partir do estabelecimento de pesos e preferências sobre critérios pelo decisor. A abordagem pode ser aplicada num estágio de planejamento ou de gestão da informação. A modelagem de preferência do decisor incorpora atributos como: impacto dos fatores estratégicos e aspectos operacionais dos processos de negócio. Uma aplicação numérica ilustra o uso do modelo de decisão.

A decision modelling approach has been proposed to select modules of an information system (IS). This approach can be applied in a planning stage or in a management basis. The decision maker's preference indicates priorities. Preferences are modelled through PROMETHEE method, which deals with criteria such as: impact on strategic factors and operational aspects of processes. The paper includes the methodology and a case study with numerical results.