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 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 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 Since most of the studies about outsourcing are focused on mathematical models, this paper seeks to support from theoretical bases the use of partial information to ease the decision-making process; the practical contribution is to apply the FITradeoff method for solving a multicriteria problem of an agricultural research company that seeks to decide about the need to outsource the operation in case to overhead the limited capacity of the analysis services. After the FITradeoff method was applied to elicit preferences from each decision-maker (DM), the results show whether or not it would be feasible to outsource a given service, and what the most promising options are. The method required the DMs to answer in less time only a few questions, which avoided placing an unnecessary cognitive burden on them and proved to be useful in assisting DMs in the decision-making. models decisionmaking decision making process services decisionmaker maker DM, DM , (DM) service questions decisionmaking. making. (DM

ABSTRACT This paper presents a broad overview of main contributions related to the FITradeoff (Flexible and Interactive Tradeoff) method. FITradeoff is a multicriteria method developed within the scope of the Multiattribute Value Theory (MAVT), considering partial information from the decision maker (DM) in the preference modelling process. Over the last few years, several methodological developments on this method have been published in the literature, as well as practical applications to a wide range of multicriteria decision problems. The most recent methodological advances are related to preference modelling process, which now integrate the two paradigms of elicitation by decomposition and holistic evaluation. Furthermore, contributions from behavioral studies, some of them including decision neuroscience, have enhanced the DSS free available for FITradeoff. In this paper, all previously developed works related to the FITradeoff method are approached, considering both methodological developments and practical applications. A summary on the different modeling approaches for solving different decision problematics (choice, ranking, sorting and portfolio) with FITradeoff is presented. The recently proposed combination of preference modeling paradigms - elicitation by decomposition and holistic evaluation - within the FITradeoff decision process is explained, as well its potential advantages for the elicitation process. Moreover, a brief review on the practical applications of the method in different contexts is presented. In addition, this work also brings a summary on the results of behavioral experiments conducted using neuroscience tools with the FITradeoff method, as well the methodological insights resulted from them, and future perspectives of potential research topics related to the FITradeoff method. Flexible Tradeoff MAVT, MAVT , (MAVT) DM (DM years literature problems Furthermore studies approached choice, choice (choice ranking portfolio presented explained Moreover addition (MAVT

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. Brazil product objectives agencies interests clients decisionmaking making decisions (DSS OptPrivate subproblems allocation former investors multipleattribute multiple attribute MADM, MADM , (MADM) FTOPSISClass. FTOPSISClass FTOPSIS Class. Class FTOPSIS-Class latter multiobjective multi objective return s profile application exposure wellrespected well respected portfolios cases (MADM

ABSTRACT The Flexible and Interactive Tradeoff (FITradeoff) method is a multicriteria decision making/aiding (MCDM/A) method that uses partial information about the decision maker’s (DM’s) preferences in order to build a recommendation. This method preserves the strong axiomatic structure of the traditional tradeoff procedure, with an interactive and flexible process that demands less cognitive effort from the DM. Although FITradeoff has already been applied for aiding several practical decision situations, there is no previous study that tests the performance of this method with respect to expected theoretical benefits such as time and effort reduction. In this context, this paper presents the results of a simulation experiment that aims to analyze the behavior of FITradeoff in a wide range of scenarios. Computational constraints were identified in the simulation process, such as the number of simulations for each iteration. Despite the memory limitation of the software used, the number of total simulations performed was greater than what is commonly found in literature. We investigate how the performance of FITradeoff can be affected by changes in number of criteria, number of alternatives and weight pattern, and therefore it is possible to have a deeper understanding of the method and its main features. Therefore, this work focuses on studying, through simulations, the behavior of the multicriteria method FITradeoff, developed by De Almeida et al. (2016), filling a lack in the literature by analyzing said method in a wide array of scenarios by a simulation process in order to bring a better understanding of the method, as well as to validate it in a simulation study.

ABSTRACT This study puts forward a multi-attribute decision model that determines good production and inventory parameter settings in make-to-stock (MTS) environments controlled by the Conwip (constant work-in-process) method. This model uses a discrete event simulation to evaluate the performance of a system in relation to work-in-process and a finished goods inventory. Based on Multi-Attribute Value Theory (MAVT), a compromise solution is found by taking into account the decision-maker’s preferences and tradeoff judgments as to the attributes of cycle time, throughput rate, holding cost and stockout cost. A numerical application is given to illustrate the use of the proposed multi-attribute model which includes a sensitivity analysis.

ABSTRACT Brazil's location and tropical weather conditions are favourable cultivating sugarcane, which has led to Brazil being one of the world's largest producers of sugarcane. The influence of the sugarcane industry on its economy stands out among the indicators of Brazilian economic growth and because the diversified investment when planning the production of products derived from this sector is encouraged. The decision on which derivative (for example, crystal sugar, anhydrous ethanol, or hydrous ethanol) to produce from raw sugarcane can be modelled as an investment decision in a portfolio decision problem whenever a combination of these products is considered. As to the future price of these commodities, raw sugarcane is considered to be capital that should be invested. Thus, this paper puts forward a decision model which uses concepts from Decision Analysis and Bayesian Risk Analysis that may well assist the process of managing assets in the Brazilian sugarcane industry by considering the financial aspect when compiling a portfolio for planning production.

Processes that identify top suppliers of new products or services and evaluate the performance of the existing suppliers are essential to strategic alliances. The objective of this article is to propose a framework to select partners for strategic alliances in supply chain management using a multi-criteria method. To reach this objective, the multi-criteria modeling procedure was used to detach the steps of a decision process, which comprises the methodology used in this article. To illustrate the use of the model, a numerical application, with characteristics from a small supermarket using the ELECTRE III method, was presented. The main contribution of the model proposed is to improve the process used to select suppliers for strategic alliances by considering multiple criteria called 'soft factors'. The proposed model suggests a systematic procedure that can reduce uncertainty in the decision process.

The quality of the construction production process may be improved using several different methods such as Lean Construction, ISO 9001, ISO 14001 or ISO 18001. Construction companies need a preliminary study and systematic implementation of changes to become more competitive and efficient. This paper presents a multicriteria decision model for the selection and ranking of such alternatives for improvement approaches regarding the aspects of quality, sustainability and safety, based on the PROMETHEE II method. The adoption of this model provides more confidence and visibility for decision makers. One of the differentiators of this model is the use of a fragmented set of improvement alternatives. These alternatives were combined with some restrictions to create a global set of alternatives. An application to three scenarios, considering realistic data, was developed. The results of the application show that the model should be incorporated into the strategic planning process of organizations.

Este trabalho tem por finalidade desenvolver um modelo para a seleção de projetos oriundos do planejamento estratégico de uma empresa do setor elétrico brasileiro, os quais irão compor o portfólio anual. A seleção desses projetos ocorre em um momento em que ainda não existem informações com nível de detalhamento suficiente para a utilização dos critérios quantitativos amplamente empregados como, por exemplo, a taxa interna de retorno e o valor presente líquido. Para o desenvolvimento desse modelo foi utilizado o método de apoio a decisão PROMETHEE V, o qual permitiu a incorporação das restrições existentes ao modelo por meio da utilização de programação linear inteira. O modelo desenvolvido mostrou ser extremamente robusto e atendeu aos objetivos estabelecidos.

This study aims to develop a model for project selection based on the strategic planning of an electric utility in Brazil, which will compose the annual project portfolio. The selection of these projects is made in the absence of information with sufficient detail for the use of the most commonly applied quantitative criteria, for example, the internal rate of return and the net present value. To develop this model, we used the decision support method PROMETHEE V, which allowed for the incorporation of existing restrictions on the model, using integer linear programming. The model is shown to be extremely robust and achieved the study aims.

Este artigo propõe uma nova abordagem para agregação das opiniões de diferentes stakeholders baseado na utilização do Value-Focused Thinking associada ao mapeamento cognitivo. Esta abordagem proposta foi aplicada para a determinação do preço de venda, concentrando-se no caso particular de uma farmácia de manipulação da região Sul do Brasil, o que propiciou um melhor entendimento do problema pelos envolvidos. Este artigo também identifica as implicações de se trabalhar com um grupo de stakeholders isoladamente, gerando diferentes modelos e agregando os pontos de vista a fim de gerar um único resultado no processo de precificação dos insumos.

This study proposes a new approach for aggregating the opinions of different stakeholders based on value-focused thinking combined with cognitive mapping. This approach was applied to determine selling prices, focusing on the particular case of a compounding pharmacy in southern Brazil. This method provides a better understanding of the problem with respect to the members involved. This paper also identifies the implications of working with individual stakeholders, generating different models and combining the viewpoints to obtain a unique result in the process of product pricing.

As well as exploratory activity being at the heart of and guiding the future of the oil industry, it is fundamental that there be a comprehensive analysis covering the various factors and nuances that arise in the selection of exploration projects. Moreover, it is essential that a decision model enables the decisionmaker's preferences to be addressed in a structured (and methodologically correct) way, and one which is easy to understand and to apply in a real-world. Therefore, this paper proposes a multicriteria decision model which underpins using a deterministic procedure for selecting a portfolio of oil and gas exploration projects and thereafter a reality-based application is set out, based on a decision making context within Petrobras.