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A crescente importância da cadeia de suprimentos tem levado pesquisadores a desenvolverem um volume significativo de trabalhos sobre o tema. Ao mesmo tempo, devido ao seu recente surgimento, esse fenômeno organizacional é complexo e engloba inúmeras variáveis, tornando igualmente complexo o processo de escolha do objeto de pesquisa por pesquisadores e estudantes. Por essa razão, esse artigo tem o objetivo de proporcionar uma análise dos principais tópicos estudados em 173 artigos sobre gestão da cadeia de suprimentos publicados nos principais periódicos acadêmicos internacionais entre 2004 e 2006. Os resultados mostram que os artigos focam, principalmente, a coordenação e a troca de informações entre empresas, a configuração da produção, o design e o desempenho da cadeia de suprimentos. Além disso, também são destacadas as características de alguns dos principais periódicos internacionais. Diversos tópicos, ainda, precisam ser estudados até que a gestão da cadeia de suprimentos se solidifique como disciplina.In recent years, supply chain management has received greater attention, hence leading researchers to develop many papers on this topic. Due to its recent development, this organizational phenomenon is complex and has many variables, making the process of choosing a research topic also complex for researchers and students. Thus, this paper aims to provide an analysis of the major topics studied in over 173 papers published about supply chain management in the most important international production and operation management journals between 2004 and 2006. The results show that the major topics are coordination, information sharing between companies, production decisions, and supply chain design and performance. Many topics should also be the focus of future studies until the supply chain management becomes a discipline.

O presente trabalho tem por objetivo estabelecer um mapeamento da produção científica divulgada em importantes periódicos publicados no Brasil sobre a aplicação de Métodos de Auxílio Multicritério à Decisão (AMD) à modelagem de problemas de Planejamento e Controle da Produção. O mapeamento contemplou 32 artigos, que foram selecionados criteriosamente, tendo como base a lista de periódicos científicos oferecida no Scielo e em importantes sociedades científicas brasileiras no âmbito da Engenharia de Produção. Os resultados permitiram indicar, entre outros aspectos, os periódicos que mais publicam neste contexto, os métodos de AMD mais usados nesta interface, os setores de produção nos quais as aplicações ocorreram e os tópicos de PCP mais abordados. Também foram destacados os aspectos de PCP que ainda carecem de estudos que envolvam métodos multicritério.The objective of this study is to map the Brazilian scientific production based on Brazilian journal publications on the implementation of Multicriteria Decision Aid (MCDA) to model Production Planning and Control problems. It consisted of 32 papers that were systematically selected from journals indexed in the Scielo database and also from a list of journals suggested by major Brazilian Industrial Engineering research societies. The results revealed, among other aspects, the journals that publish the most on this topic, the most often used MCDA methods in this interface, the production sectors in which the applications took place, and the most commonly discussed PPC topics. This paper also highlights the PPC aspects that need further research including MCDA methods.

Este trabalho examina alguns modelos de otimização conhecidos da literatura para o problema de corte, e reporta uma experiência real da aplicação destes modelos numa indústria de papel e papelão (problema unidimensional) e numa indústria de móveis (problema bidimensional). Também são discutidas algumas modificações nos modelos originais para incorporar restrições práticas dos processos de corte, tais como, unidades de estoque com tamanhos e custos diferentes, tolerância na demanda de clientes, entre outras. Alguns resultados computacionais são apresentados para um exemplo real da indústria de móveis, utilizando-se um microcomputador.This work examines some well-known optimization models for the cutting stock problem and reports a real experience of their application to a corrugated paper industry (one- dimensional problem) and to a furniture industry (two-dimensional problem). It is also discussed some modifications in the original models to incorporate practical constraints of the cutting processes, such as tolerance in the customer orders, among others. Some computational results from a real example of the furniture industry are presented utilizing a micro-computer.

Este trabalho apresenta uma revisão bibliográfica (82 artigos) sobre a Manufatura Enxuta (ME), revisão esta não encontrada até agora na literatura de Gestão da Produção. A partir de tal revisão propôs-se um sistema de classificação para a ME baseada em 4 parâmetros: metodologia, abrangência, princípios e capacitadores, a qual serviu para classificar e estruturar os artigos da revisão. Uma vez classificada e estruturada, a revisão bibliográfica sobre ME serviu de base para uma ampla análise do tema. Essa análise se baseou em dois pontos fundamentais: i) um estudo quantitativo das metodologias, abrangências, princípios e capacitadores utilizados nos trabalhos e ii) um estudo qualitativo dos principais assuntos e objetivos alcançados por esses trabalhos. As principais contribuições deste trabalho são: servir de base para um maior conhecimento da literatura existente atualmente sobre ME e propor sugestões de pesquisas futuras na área.This work reviews the literature on Lean Manufacturing (LM). Until now, there was no complete literature review regarding this subject in the Operations Management literature. Based on this literature review it is proposed a LM classification system based on 4 main characteristics: methodology, comprehension, principles and enablers. The system is used to classify and to organize the papers. After that a general analyses of LM is performed. The LM analyses is based on 2 main points: i) a quantitative study of the methodology, comprehension, principles and enablers within LM papers; ii) a qualitative study regarding the main subjects and goals accomplished by the papers. The main contributions of this work are to contribute for mental clarification, communication and discovering new fields for research on LM.

Este artigo apresenta um sistema para classificar e codificar trabalhos (SCCA - sistema de classificação e codificação de artigos) que relacionam o Controle da Produção (CP) e o Controle da Qualidade (CQ). O sistema de classificação é baseado em três características principais do artigo: a natureza, o foco e os objetivos. O sistema de codificação emprega a idéia básica da tecnologia de grupo (codificação de famílias de peças), utilizando uma estrutura híbrida de três dígitos para codificar as características mencionadas anteriormente. O SCCA foi criado em função da realização de um survey, o qual procurou ser o mais completo possível, contendo 45 trabalhos que relacionam o CP e o CQ. O sistema é validado por sua utilização na classificação e codificação dos trabalhos encontrados no survey. Essa classificação e codificação serve, ao mesmo tempo, como auxílio para estruturar a revisão bibliográfica e para realizar uma análise geral sobre o tema. A partir dessa análise, este artigo consegue proporcionar maior conhecimento e comunicação das pesquisas existentes atualmente que relacionam o CP e o CQ, além de sugerir novas áreas de pesquisa dentro das relações entre CP e CQ. O artigo destaca ainda a importância de estudar a relação entre CP e CQ.This work presents a system for classifying and codifying papers (PCCS - papers classification and codification system) relating Production Control (PC) and Quality Control (QC). The classification system is based on three main characteristics. These characteristics are: the nature, the focus and the goals of the article. The codification system uses the basic idea of the Group Technology (codification of the families of parts). An hybrid structure with three digits is used to codify the characteristics aforementioned. A survey, compounded by 45 papers (we tried to perform a survey the most complete as possible) was accomplished and used to create the PCCS. The system is validated through its use on the classification and codification of the papers found on survey. The classification and codification is useful to structure the literature about PC and QC and to perform a general analysis about the theme. From the analysis of these papers, using our system, a mental clarification and communication of the researches relating PC and QC is obtained. After such analysis, new research areas within the relations between PC and QC can be suggested. The paper also highlights the importance in studying the relationship between PC and QC.

Abstract This paper aims to discuss how Knowledge Management (KM) can support the Industry 4.0 (I4.0) implementation. The paper analyzes the relevant literature and explores related research opportunities, which can provide insights and assist researchers in future studies. I4.0 technologies can influence work flexibility, autonomy, job performance and innovation, but the acquisition and dissemination of knowledge, especially on the shop floor, remain dependent on employees, indicating human concerns which can be supported by KM. We conducted a literature review on KM and I4.0 on 41 papers selected from the Clarivate Web of Science Core Collection, published between 2010 and 2021. Structured summaries were developed, that lead to broad themes. Findings indicate three themes relating KM and I4.0: Technology, which explores infrastructure demands for implementation and its influence on the knowledge creation process; KM and learning, which reinforces the importance of both hard and soft skills, and indicates the need to investigate enablers factors for knowledge creation and sharing; and Worker engagement, which consider communicational, cultural and trust-related aspects for worker's development. This paper explores the I4.0 implementation and indicate concerns involving workers and the technologies adoption, which can provide insights and assist researchers in future Operations Management practices and related researches.

Abstract This paper aims to analyze the Dynamic Capabilities (DC) from their micro-foundations (sensing, seizing, and reconfiguration) that help in sustainability-oriented innovation (SOI) activities (organizational optimization, organizational transformation, and systems building) and that lead to the development of innovations in the context of higher education institutions (HEIs). This research has a descriptive and exploratory nature, developed through a case study in an HEI located in the northeast region of Brazil. The study was based on interviews with key sustainability managers within the institution and on research of institutional documents related to the subject. As a result, the existence of specific sensing, seizing, and reconfiguring microfoundations for HEIs that can enable SOI in the three levels of activities studied was verified, highlighting important relationships between them. This work contributes to the advancement of knowledge about SOI activities in HEIs by identifying the microfoundations that drive such activities and addressing a gap in studies on microfoundations of SOI dynamic capabilities and activities in higher education institutions. In practical terms, this article can serve as a basis for HEIs managers to understand what they need to do to drive SOI activities, especially in building systems for the development of innovations with social and economic impact for territories beyond institutional boundaries.

Abstract To perform better cost management in a supply chain, it must reduce or eliminate activities that do not add value to the product or export process. Thus, this paper aims to measure the costs of a containerized cargo export process using a combination of the Supply Chain Operation Reference Framework and activity-based costing, from the perspective of an exporting company. A qualitative approach is used to identify the processes and activities that generate costs in a containerized cargo export chain and a quantitative approach is used to measure these costs, through a combination of the mentioned methods. By applying the proposed methods, it was feasible to calculate the costs of the export chain of ceramic products, while it was possible to identify these costs based on performance indicators and metrics. Thus, this work assists commercial actions, raising the costs of an export chain and trying to fill gaps in the literature.

Abstract In the alignment of ESG (Environmental, Social and Governance) growing importance for investments’ decisions this paper presents an index for evaluating sustainable practices of road construction companies. For assessing the sustainable practices, it was developed a hierarchical framework based on environmental, social, and economic dimensions. The practices’ themes and its respective practices were found in the literature, and were selected and validate by an expert’ panel. That resulted in 12 practices themes and the 37 most relevant practices to the road construction sector. For each practice it was established a set of indicators. For the sustainable practices index, the dimensions and practice’s themes weights were determined using the Simplified Process Hierarchical Analysis method, applied to a second experts’ panel. By linking the sustainable practices to measurable indicators, it was possible to attain an overall sustainable practices index for road construction companies. The SPC method used in this case study emphasized practices in the “social” and “environmental” dimensions, with weights of 0.459 and 0.344. The framework elaborated is practical and expeditious, which has a feasible approach to tackling main ESG issues, helping road construction companies and governments preparedness for the new demands of investors and stakeholders.

Abstract Maintenance plays an indispensable role in the productive sector of an organization. The increasing use of high-precision operations in the steel industry means that hydraulic systems demand greater attention. This study proposes an evaluation framework for analyzing the economic feasibility of insourcing hydraulic maintenance services, seeking to present tools for assisting managers in decision-making and optimizing maintenance strategies. This paper presents a cash flow study, where the Net Present Value (NPV), the Internal Rate of Return (IRR), and the Profitability Index (PI) are calculated. Subsequently, the Monte Carlo method is applied to perform a sensitivity analysis for viewing the probabilities and output results. The main contribution of this study is to enable the evaluation of the results considering the economic feasibility of insourcing or outsourcing maintenance contracts through the proposed framework. In this case, the economic viability of insourcing presents a cost reduction in maintenance services. This approach suggested an industrial case study, where the use of the Monte Carlo and cash flow methods are useful tools for decision-making, contributing to the optimization of resources among industrial managers.

Abstract The offer of business process modeling methodologies is quite extensive, making it difficult for scholars in the BPM area to choose properly. In this context, this paper has the objective to present the main modeling methodologies, with applications, examples and comparisons. A systematic bibliographic survey and the comparative analysis of these notations used in the implementation of BPM projects have been carried out. According to the bibliometric analysis, the modeling notations of the business process most portrayed in the works surveyed are: BPMN, UML, EPC and IDEF. From the construction of a consistent overview that allows the comparative analysis of the methodologies, in order to select the one that suits better its specificities it can be verified that, although they share the same objective, each notation has its specific characteristics. This study has the main purpose of providing a basis for the adequate indication of the application of studies in the field, especially those destined for papers, dissertations and theses.

Abstract This paper investigated the existence of contagion between S&P500 and FTSE100 stock indexes, the two major stock exchange markets in the world, due to Brexit. Brexit caused a wave of volatility in international financial markets and the immediate reaction in US market has brought instability among investors, who remained cautious regarding the unexpected unfolds over the global economy. Dynamic conditional correlation model (DCC GARCH) was applied to analyze the shift-contagion phenomenon in the time series data. The results showed that there was no evidence of shift-contagion between the two markets during the Brexit period. It was possible to observe a moderate increase in the conditional correlation during the month of the Brexit referendum, which may be due to the high interdependence between the two asset markets.

Abstract: The aim of this paper is to investigate trade unionists leaders' perspective on Industry 4.0. Questionnaires and interviews were carried out. Two conclusions were pointed out: a fragmented understanding of the concept and the low participation of workers in the implementation process. Looking forward to a just transition, the improvement of either the conceptual grasp and the workers' participation are necessary.

Abstract: This paper aims at presenting a structure of implementation of the Workload Control (WLC) approach on a commercial discrete event simulation software by comprehensively demonstrating how to construct and simulate this approach. This research was developed considering the lack of studies fully describing this implementation on this kind of software, which hinders the dissemination and use of the WLC approach by managers. Initially, the logic was developed on a dedicated and structured language and then converted to the simulation software. A detailed description of the WLC implementation contributes to the business domain by facilitating its replication and application in other manufacturing environments, reducing the project time needed to develop the base model and allowing managers and/or researchers to focus directly on the adjustments of the model to the environment being modeled. In the academic domain, this paper addresses a gap in the WLC literature concerning the lack of tutorials for simulation and the lack of information, in the existing papers, regarding the development of the computational model.

Abstract: This paper aims to understand how the interconnection between the tacit and explicit dimensions of knowledge impacts knowledge management and its degree of maturity. Knowledge management maturity is understood as the ability firms are expected to have in order to exercise (to some degree) the skills required to manage knowledge internally. Nonaka and Takeuchi (N&T) model of organizational knowledge management was applied to a sample of companies (segmented by size) from the states of São Paulo, Minas Gerais, and Rio de Janeiro, by using the logic of fuzzy sets. The results have shown that small and medium companies have lower levels of knowledge management maturity when compared to large companies. However, in large companies, knowledge management is at medium levels. In this context, this paper suggests, as management guidelines, that companies measure their professionals' perception regarding the company level of knowledge management, pursuing to identify which of their components should be developed.

Abstract This paper analyzes how design diffusion is changing the organizational logics of established companies. If previously design activities had as its main objective packaging new technologies to create differentials for products and services and to reduce production costs, with the diffusion of digital services currently design activities expand its scope and identify functional and emotional needs from users that are relevant for creating differentiated experiences, that in turn will result in new products and services that incorporate existing and emerging technologies of the firm. This transformation reveals a new organizational strategy, in which design assumes a more relevant position for the creation of innovative business models. However, a point not yet considered in the literature is how companies are restructuring their operations in order to benefit from this transition. This paper analyzes how Brazilian organizations of different sizes and sectors have redefined their management models in order to incorporate design as a catalyst of change. The obtained framework consolidates the main propositions of design while directing of the changes in the organizations in the operational, tactical and strategic levels.

Abstract: The recent development of advanced manufacturing concepts brings new challenges for developing countries in order to prepare their workforce and industries for local and global markets. To explore and disseminate advanced manufacturing concepts, the first autonomous advanced manufacturing cell developed in Brazil as a result of a partnership between global and local companies and academia was designed and evaluated. This paper aims to describe the advanced manufacturing cell, the equipment composing the infrastructure, and the network topology and equipment that could deal with the heterogeneity of equipment and protocol. Moreover, the behavior of the Open Platform Communications Unified Architecture (OPC UA) communication framework (and related protocols) as the integration element between the equipment composing the cell was evaluated. The results indicated that the OPC UA communication framework promotes a low traffic overhead and can also be used to carry data from the traditional protocols in their fields without restrictions that could hinder production. The paper also discusses how the exchange of data occurred between the equipment used in the production and the control systems via the protocol studied. The OPC UA communication framework protocols presented a messaging structure and data transport characteristics that satisfy the integration needs between equipment of several manufacturers that composed an autonomous cell of advanced manufacturing. This paper also presents some key challenges to integrating all equipment not addressed by the OPC UA reference model.

Abstract The purpose of this paper is to analyze the financial intermediation market practiced by Autonomous Investment Agents (AIAs) and to identify links between large international asset managers and investors from inland regions of the country. The research is linked to studies of economic sociology and finance that deal with financialization, a process in which financial groups have organized economies and explored innovations such as Exchange Traded Funds – ETFs, contributed to the expansion of asset loans and stock buyback programs, leading to implications for companies and societies. This is an exploratory study that combines historical perspectives, documental analysis, content analysis and a case study. Interviews were conducted with representatives of AIAs companies and the Brazilian Association of Autonomous Investment Agents (ABAAI in Portuguese). In inland municipalities, AIAs aim to reach local elites, "private" customers of traditional banks, expanding the provision of financial services on digital platforms. Considering the proposal to offer Financial Education to clients, AIAs spread the dominant financial culture and innovations such as ETFs. Professionals and AIAs offices in the inland municipalities complement the necessary resources to AIAs companies and partner brokers to access these markets.

Abstract Organizations are being highly pressured to increase their competitiveness in order to deal with dynamic and turbulent markets. The development of an intelligent manufacturing system has been identified as an effective way to increase the competitiveness of enterprises. Traditional companies need models, skills, processes, and technologies to face the challenges imposed by today´s highly competitive markets, which require constant innovation. Sensing, Smart, and Sustainable (S^3) Enterprises play an important role in the digitization of strategies, decisions, and operations. They become efficient in facing the challenges intrinsic to the digital economy and intelligent manufacturing by applying the concepts of detection and monitoring, intelligence, and sustainability. The extant literature indicates the need for the development of methods and enterprise models that portray the reality of S^3 Enterprises. This paper presents an enterprise model to facilitate the formalization of S^3 Enterprises and help understand the dynamics of their operations. Applying the For Enterprise Modeling (4EM) method, this proposed enterprise model documents the goals, business rules, processes, and concepts of S^3 Enterprises. The contribution of this paper is the identification of guiding principles that allow companies interested in applying the S^3 concepts to have a basic reference mapped through perspectives of different knowledge domains.

Abstract: The purpose of this paper is to contribute to the advancement of International Operations Management in the digital era. Theories and models that address how multinationals organize international operations were generated in the 1990s, a time when Kasra Ferdows wrote his HBR’s seminal article “Making the Most of Foreign Factories”. Despite the critiques, that simple and insightful model, a fruit of Ferdows’ experience, remains as paradigm but must now be updated to become aligned to the features of the digital world. In this theory-building paper, we disclose how Digital Transformation will change the location, coordination, and role of the organizational units that constitute the multinational’s inner international network (IIN). We first synthesize the digital trends into three statements that are contrasted with the assumptions of Ferdows’ model, leading to a new taxonomy. We then display pieces of evidence collected from the recent literature in different management fields. This article brings new perspectives for the understanding of how multinationals reorganize their operations, now and in the future, in times of deglobalization accelerated by pandemics.

Abstract: The implementation of Manufacture and Automation techniques is mandatory in the current world. Mainly, the enhancement and progress of healthcare are fundamental in wellbeing improvement. This paper points to the utilization of the Internet of Things (IoT) and Industry 4.0 concepts oriented to the optimization of a Smart Hospital using the Hospital Emergency Department (HED) as a case study. This proposal focuses on the development of a smart Hospital-based of the IoT, Industry 4.0, Health 4.0, and other current technology. On the other hand, the use of a computational simulation tool like the Discrete Event Simulation Model (DES) will allow the test, recognition, and reduction of bottlenecks in the HED workflow. The issue given by the bottlenecks is automatically controlled using an improved dynamic shift management proposal based on control theory, forecasting methods, and telemedicine. The results show an improvement in the use of the resources and a reduction of the length of stay that directly reduces the HED mortality rate, improving the service quality. The objective of this paper is to propose a simulation tool-based on DES for a selected HED, using forecasting methods of the patients’ arrival in a HED using the Autoregressive integrated moving average (ARIMA) model. Following the forecasted entries, a proposal for bottleneck avoidance using a HED DES was realized. The forecasting data provided useful predictive information for the improvement of the HED workflow. As well as the analyzed data of a traditional HED system is helpful to solve the overcrowding problem. Finally, the use of simulation tools allows the test and validation of novel proposals for two smart HED optimization proposals following e-Health and Hospital 4.0 principles.

Abstract This paper analyzed the level of adoption and compared characteristics of adopters and non-adopters of Industry 4.0 technologies. Primary data for the year 2021 were collected by means of a structured questionnaire applied to 30 small and medium-sized companies of the metallurgical sector, who operate with machining processes, in the state of São Paulo. Data were analyzed using descriptive statistical measures and correlation estimates. The technologies adopted by the companies in the sample were: Cloud Computing (10 companies), Horizontal and Vertical Integration Systems (5 companies), Big Data (4 companies) and Industrial Internet of Things (4 companies). The comparative analysis between the characteristics of adopters and non-adopters showed that: (I) adopters have, much more frequently, employees with ICT capabilities and also more frequently hire ICT consulting services; (II) the use of ERP and MRP systems is much higher among companies that adopt Industry 4.0 technologies; (III) adopters participate more frequently in cooperation programs with Universities, Science and Technology Institutes or Research and Technological Development Promotion Agencies; (IV) companies that adopt 4.0 technologies have a greater perception of relative advantage and compatibility of these technologies.

Abstract The main objective of this study was to explore and analyze the recent scientific production on sustainability in the fashion retail sector. The methodology was based on a literature review and bibliometric analysis of the last 12 years of peer-reviewed published papers on the topic. The results illustrated an increase in publications in 2017 and 2018, with large participation from countries such as the United States and China. The findings covered a broad diversity of topics related to fashion retail such as: slow fashion, fast fashion, sustainability in the supply chain, sustainable production and consumption of textile products, and the main barriers, benefits, and trends for this sector in a near future. Due to the increase of negative social and environmental impacts in the last decades more studies related to sustainability practices to be adopted by this sector are required to identify potential alternative solutions for the problem. We did a list with the 55 most important practices to promote sustainability in fashion retail.

Abstract: This research presents a systematized literature review to identify the main critical success factors (CSFs) that influence startups’ competitiveness. Considering that aspects related to competitiveness should be the target of organizations, especially early-stage companies, this paper identifies a broad of factors regarding startups’ competitiveness. A total of 36 articles were selected in Scopus and Web of Science databases and an in-depth bibliometric analysis of the corpus was performed using the VOSviewer software. 25 CSFs that influence startups’ competitiveness were identified and categorized into three fundamental points of view (FPVs), namely: organizational, human, and environmental. Organizational FPV covers factors that define the internal characteristics of startups. Human FPV, in turn, consists of characteristics of human capital, while the Environmental FPV refers to external factors and the startup context. This work could help practitioners and policymakers by enlightening them about startups’ competitiveness and the elements involved therein, along with providing them with a robust conceptual framework.

Abstract: Advancements in production technologies and materials have facilitated the use of additive manufacturing (AM) (i.e., 3D printing) in the large-scale production of finished products with high level of customization, simplification of the factory floor, and fast delivery. Production sequencing is a well-established topic in this research area; however, its application to an AM environment suffers from specific issues that are yet to be explored. This paper presents a systematic literature review for mapping the state-of-the-art production sequencing methods in AM and for discussing the content of 26 articles published in magazines between 2017–2020. The main mathematical models, algorithms adopted for their solution, and main characteristics of computational experiments performed in these articles are identified; the results indicate that some characteristics of the problem can still be included in these models, such as the possibility of outsourcing and technology restrictions, which are yet to be explored in the literature. Further, authors observed the need for more robust computational experiments to better evaluate the proposed solutions.

Abstract This paper studies and applies queueing systems to Call Centers regarding the possibility of customer abandonment from the system before being served due to their impatience in waiting for a service. Call Centers are service organizations that predominantly serve customers via phone calls. One of the main concerns in managing them is to provide quality service at a minimum cost. Noticing the quality of services offered is expressed by customers, for example by abandonment from the queue. This paper shows that the M/M/c+G analytical queueing models with abandonment, with patience time represented by generic distributions (particularly mixed distributions), are more effective than the M/M/c+M analytical queueing models with abandonment, with Exponential patience, commonly used to evaluate congestion problems in Call Centers and support sizing and operational decisions in these systems. We conducted a study using data extracted from a Bank Call Center located in Israel and the parameters and some performance measures are determined based on this data. These sampling measures are compared with the same measures achieved by the M/M/c+M and M/M/c+G analytical queueing models considered in this research, which use parameters obtained empirically and the mixed and non-mixed distributions based on Exponential and Lognormal to represent user patience. An experimental discrete simulation model was also used to explore an alternative scenario, showing the potential of using the approaches based on analytical models with abandonment for Call Center analysis.

Abstract: The purpose of this paper is to design an overview about Project Management (PM) in Small and Medium-Sized Enterprises (SMEs) by analysing the evolution of publications and the main topics since 1996 to 2016 to motivate future research that helps SMEs to apply PM practices more efficiently. This study performed bibliometrics associated with content analysis of publications collected in scientific bases Web of Science and Scopus and in the periodic International Journal of Project Management. For that, the software VOSviewer, Nvivo, Minitab, and Excel were used in the analyses. The scan of 235 papers about Project Management in SMEs supported a literature overview. Furthermore, four thematic categories are highlighted: Project Management Practices, Planning and Control Systems, Collaboration, and Knowledge Management. Moreover, it was observed that SMEs requires a lighter PM methodology, focused on people and flexible. Besides that, the results show that the main challenges involve a lack of resources and qualified people and the high turnover. However, overcoming these issues, PM can benefit growth and innovation in SMEs. Therefore, this study presents a conceptual framework of benefits and challenges in Project Management in SMEs, reducing the research gap. Furthermore, recommendations for future research, mainly in Brazil, are given.

Abstract In order to measure the impact of the economic growth over the years, the sustainable development concept works to balance three pillars of sustainability - economic, social and environmental. This paper has the objective to compare emerging countries (BRICS) with the most developed countries (G7) by analysing sustainable development. Data Envelopment Analysis (DEA) was used, thorugh the variant SBM (Slacks Based Measured) model. The inputs were CO2 emission, percentage of unemployed and energy utilization. GDP and life expectancy at birth were used as outputs. The main result was a global average efficency ranking, having the emerging countries in top positions (India, China and Brazil, respectively). In addition, emerging countries have always stood out in the average of the slacks of each analyzed variable. These results are important in terms of being useful for public policies related to sustainable development, especially: (1) to contribute to the discussions related to evaluating the countries, helping to identify those with the best practices with regard to environmental, social and economic aspects in each group; and (2) to guide policy decisions regarding government incentives to promote the development of efficient countries in terms of economic growth and welfare social without harming the environment.

Abstract Despite the proliferation as well as great advances in the development of dynamic models applied to project management, research that applies system dynamics principles to program management does not seem to be as fertile. The objective of this paper is to obtain a more accurate vision of how the system dynamics theory is being used in the development of the program management field. The bibliometric-qualitative study confirms there is a robust use of system dynamics tools in the project management area, with a wide range of applications as well as solid results. The study, however, also shows that for programs, despite a noticeable increase regarding the interest in program management by organizations, clearly there is much less research uniting program management and system dynamics. More importantly, some dynamic models are being used to improve the performance of programs, however, few studies take into consideration the specific variables from program management. Thus, we conclude that current research on these two topics can only be viewed as fragmented and in its early stages, offering ample room for improvement.

Abstract: Theory of Constraints (TOC) states that every system has a single constraint that limits its performance, on which improvement efforts should be concentrated. This paper compared, through computer simulation, several methods of identifying the capacity-constrained resource in the perspective of a process of continuous improvement. Six make-to-stock (MTS) production line configurations managed by the Simplified Drum-Buffer-Rope (S-DBR) system were simulated, in which six improvement methods were applied, three of them based on the TOC literature, and their performance measured and compared in terms of cycle time and order fill rate. The results showed that, in balanced systems, improvements spread over all resources allowed better results, because, in this case, it is necessary to improve everything to benefit the overall performance. In unbalanced environments, on the other hand, the three methods recommended by TOC, which recommend efforts concentrated on the weakest point of the system, achieved superior performance, with emphasis on the strategy based on the level of utilization. In addition to advancing the frontiers of knowledge in continuous improvement and TOC, the research results show that managers should focus their attention on the resource with the highest degree of utilization to get better and faster performance gains.

Abstract: This paper investigates the existence of uncertainties in different wind power commercialization contracts in Brazil and their correlation with the Real Options associated with unmitigated risks in the Back up Energy and New Energy contracts. From a documentary review of existing contracts from 2009 to 2018, it was found that the Real Options on New Energy contracts are more susceptible to market uncertainties related to energy price in the short-term market. The Real Options associated with risks not mitigated in Back up Energy contracts are more linked to uncertainties regarding the power generation efficiency and the project plant expansion capacity in order to generate the anticipation of its supply.

Abstract: The shortage of funding, the challenging assessment of aid needs, and the lack of transportation systems for the rescue and care of victims represent major constraints to disaster response operations. In order to improve logistical performance in these conditions, including remote and large areas, this paper proposes a formal mathematical model to assist air transport planning, using helicopters, for large-scale disasters, considering multiple deposit systems, multiples vehicles and multiple products, implemented in AIMMS to evaluate its performance. To achieve the objectives, a literature review is conducted to understand the ways in which helicopters are used in aid operations and to identify key steps in decision making and modeling processes. In the end, a hypothetical scenario is created with similar characteristics from the records of earthquake response operations that hit Haiti in 2010 for consolidation and validation of the procedure.

Abstract: With the purpose of identifying the state-of-the-art in the literature, on the theme of Green Information Technology, or simply Green IT, this study presents a bibliometric review about it. Following a research protocol, 171 papers published between the years 2007 to 2020 were selected, providing an overview or are focused on a particular aspect of Green IT. As the main results of this theoretical production, research highlighted that most of the literature on Green IT is based on analyzes at the organizational level. The surveys and theoretical frameworks that consider the environmental aspects of Green IT stand out. Among the empirical studies, investigations related to organizational motivations and the role of corporate social responsibility in the adoption of Green IT prevail. Behavioral factors linked to cognitive aspects that provide a preliminary view on the diffusion status and maturity of the Green IT also emerge among field studies. It should be noted that most studies were conducted in developed countries, that is, countries where technology is more widespread. Among the main managerial implications of the research, it was evident that the need for greater energy efficiency and, consequently, cost savings in IT operations, are the main factors for the adoption of Green IT.

Abstract: This paper aims to compare different models to support decision making in production planning (and, consequently, in sales and inventory), in an environment where product demands are variable and uncertain, it is possible to produce at normal hours and overtime, loss of sales is consequence of stockouts, there is limit to internal storage, with possible and more expensive external storage, and ordering costs are non-negligible. At first, we present a linear and deterministic model, with known demand and without shortage. In the second model, safety stocks are calculated to meet a probabilistic demand, but it is not yet considered the possibility of shortage. The third model includes shortage calculation as a consequence from demand uncertainty. The last two models use an iterative process to re-estimate the unit cost of storage, needed to calculate safety stocks in each period of the planning horizon. The models were implemented in MSExcel, making use of linear programming and search functions available in the software. As the original problem, data of the examples are based on real companies. The study allows concluding that, in the problem analyzed, linear models, simpler and faster to execute, may be sufficient to support good decisions.

Abstract: Multivariate control charts are essential tools in multivariate statistical process control (MSPC). “Shewhart-type” charts are control charts using rational subgroupings which are effective in the detection of large shifts. Recently, the one-class classification problem has attracted a lot of interest. Three methods are typically used to solve this type of classification problem. These methods include the k−center method, the nearest neighbor method, one-class support vector machine (OCSVM), and the support vector data description (SVDD). In industrial applications, like statistical process control (SPC), practitioners successfully used SVDD to detect anomalies or outliers in the process. In this paper, we reformulate the standard support vector data description and derive a least squares version of the method. This least-squares support vector data description (LS-SVDD) is used to design a control chart for monitoring the mean vector of processes. We compare the performance of the LS-SVDD chart with the SVDD and T2 chart using out-of-control Average Run Length (ARL) as the performance metric. The experimental results indicate that the proposed control chart has very good performance.

Abstract Urban solid waste management is a complex system due to the many variables that compose it, which makes it difficult for managers to make decisions. Among the decision-making tools is system dynamics. To identify the gaps between the literature and the studies about urban solid waste management by using system dynamics method, a survey of published papers on the subject was made, which were later analyzed using some defined criteria, such as the level of the study, the software used for modeling, the variables included in the model, among others. The research identified that, among the stages of solid waste management, the collection process is still little incorporated in the models, being mentioned in only nine studies analyzed. Besides, the environmental, financial and institutional requirements were not adequately explored in the models. Future research should endeavor to include these elements in the models, which will allow the proposed system to be approximated to the complex reality of solid waste management.

Abstract Sensing networks provide nowadays massive amounts of data that in many applications provide information about curves, surfaces and vary over a continuum, usually time, and thus, can be suitably modelled as functional data. Their proper modelling by means of functional data analysis approaches naturally addresses new challenges also arising in the statistical process monitoring (SPM). Motivated by an industrial application, the objective of the present paper is to provide the reader with a very transparent set of steps for the SPM of functional data in real-world case studies: i) identifying a finite dimensional model for the functional data, based on functional principal component analysis; ii) estimating the unknown parameters; iii) designing control charts on the estimated parameters, in a nonparametric framework. The proposed SPM procedure is applied to a real-case study from the maritime field in monitoring CO2 emissions from real navigation data of a roll-on/roll-off passenger cruise ship, i.e., a ship designed to carry both passengers and wheeled vehicles that are driven on and off the ship on their own wheels. We show different scenarios highlighting clear and interpretable indications that can be extracted from the data set and support the detection of anomalous voyages.

Abstract: Marcucci (1985) proposed a chi square goodness of fit statistic based generalized p-chart for multinomial process monitoring. A chi square distribution quantile was considered as a control chart limit. A weighted chi square goodness of fit statistic-based control chart is proposed for multinomial process monitoring in this paper, where more important weights are advocated to poor quality categories. The statistic distribution is approximated by a well-known linear combination of chi squares distribution. The approximation is assessed through a simulation, an extreme percentile of the approximated distribution is used as an upper control chart limit and a comparison is carried out with a chi square goodness of fit statistic-based control chart. The average run length is used as a benchmark and the comparison is performed using simulations considering two process shifts scenarios. Under some restrictions, the weighted statistic-based control chart allows an earlier detection of process shift in case of deterioration and postpones out of control signals in case of improvement. This benefit is clearer when the process is improved by a decrease in the poor quality probability category and an increase in the best quality category probability.

Abstract: The creation of a management system to systematically promote innovation is a great challenge for large companies. Some authors argue for the creation of a dedicated organizational function (the Innovation Function – IF) to guide this system. This paper aims to understand how a large company builds an Innovation Function from a longitudinal and retrospective case study. Some aspects regarding the emergence of the IF, its organizational structure evolution, and changes on its team’s scope of action are discussed. The main results highlight the importance of key actors for IF’s recognition by the organization, serving as connecting mediators to other functions and external agents. Besides that, specific competence accumulation, gradual legitimacy acquisition, and project intermediary results enabled the team to deal with radical innovation projects over time.

Abstract: Intensive cargo movement in urban areas generates many vehicles in city centers. As a result, there are congestions increase and intensification of freight transport distribution system challenges. To overcome the difficulties, local traffic rules and restrictions for heavy vehicles are established, but they have an impact on carriers and shopkeepers activities, parcel little heard by surveys. The purpose of this paper is to analyze the difficulties in the receipt of goods in Niterói center, under the view of retailers. The data collected by survey in the study were evaluated trough descriptive statistics and multivariate analysis. The major impasses found were the lack of available places for unloading and intense traffic, and for logistical challenges non-opening to overnight delivery and security level in the receiving periods, due to the urban violence.

abstract: In disasters, when affected areas are remote or difficult to access, or when other ways of transport are not available, helicopters become the most appropriate vehicles to reach the victims, specialy in cases of floods, landslides and earthquakes. However, the planning of air transport operations in the context of a disaster response is of great complexity, so that operational research has significant application and potential contribution to the area. In this context, we propose a procedure that aims to optimize the use of helicopters in response operations to small and medium-scale disasters. The proposed procedure seeks to minimize the total time of operation and the mobilization of air resources during the last mile delivery in relief operations. The proposed procedure is applied on a post-disaster scenario, taking as basis the real characteristics of the response operation to the floods, occurred in 2011, in the mountain region of the state of Rio de Janeiro, Brazil. This paper highlights a methodological protocol for review and stratification of the journals for study and a proposal of this work with viable processes to aid decision-making in the process of distribution of the humanitarian supply chain using helicopters.

A necessidade crescente de melhores resultados com recursos cada vez mais escassos requer que as empresas selecionem e invistam apenas nos projetos capazes de gerar vantagem competitiva. O fato de este processo de seleção envolver interesses e riscos, uma efetiva gestão de portfólio de projetos pode fornecer suporte de forma estruturada e organizada. Este trabalho tem como objetivo traçar um panorama da literatura acadêmica em gestão de portfólio de projetos, descrevendo tendências e os principais temas abordados. A abordagem metodológica utilizada foi de revisão bibliográfica, adotando técnicas de análise bibliométricas e de análise de conteúdo. As buscas foram realizadas na base científica de dados ISI Web of Knowledge e na base Scielo. A amostra inicial de análise foi composta por 85 artigos publicados entre 1994 e 2009, expandida para as referências citadas nesses artigos. A amostra foi analisada com relação à evolução das publicações e citações, identificação dos principais periódicos, autores e obras, bem como os temas principais abordados. Os resultados indicam um significativo aumento de artigos publicados e citações ao longo do período. Os modelos de gestão de portfólio identificados na literatura convergem para os seguintes processos-chave: propostas de projetos; direcionadores estratégicos; identificação; avaliação; seleção; priorização; alocação de recursos; e monitoramento & controle. As ferramentas mais citadas nos estudos da amostra foram classificadas em três grupos: métodos financeiros, programação matemática e modelos estatísticos. Finalmente, os critérios para seleção dos portfólios que se destacaram foram: o potencial de mercado, viabilidade econômico-financeira e riscos/incertezas.The growing need for better results with increasingly scarce resources requires the companies to select and invest only in projects that generate competitive advantage. The fact that this selection process involves interests and risks, an effective project portfolio management can provide effective support. This paper aims to provide an overview of academic literature on project portfolio management describing trends and the key topics. The methodological approach chosen was a literature review, adopting bibliometric techniques and content analysis. The search was conducted in the ISI Web of Knlowledge and Scielo databases. The initial sample for analysis consisted of 85 articles published between 1994 and 2009 and included the cited references. The sample was analyzed according to the evolution of publications and citations and identification of key journals, authors, studies, and topics. The results indicate a significant increase in the volume of published papers and citations over the period of time studied. The portfolio management models identified in the literature converge on the following key processes: project proposals, strategic drivers, identification, evaluation, selection, prioritization, resource allocation, and monitoring & control. The most cited tools in the studies in the sample were classified into three groups: financial methods, mathematical programming, and statistical models. Finally, the portfolio selection criteria that stood out were market potential, economic and financial feasibility, and risks and uncertainties.

Abstract: The literature on operations strategies has extensively addressed the notion that competitive priorities and structural decisions should be aligned to create, develop, and maintain competitive advantages. However, the speed and scale of new manufacturing technologies are modifying an organization’s strategies and manufacturing capabilities to address new market requirements, competition, and new entrants. Advances in robotics are poised to change the global business landscape and to support organizations in improving upon their operations strategies. Industrial robots usually help improve product quality and provide better work conditions to limit the use of resources, resulting in cost savings. One of the main trends in robotics is that of human-robot collaboration (HRC), which influences operations strategies and which can have a disruptive effect on business models and market structures. The aim of this paper is to explore and understand the relationship between the competitive priorities (quality, cost, flexibility, and delivery) of classical operations and the competitive advantage of adopting HRC for a Brazilian automotive parts supplier. The results indicate that the hybrid cell (U-shaped manufacturing cell) fully adheres to cost and dependability priorities and partially adheres to quality and flexibility priorities.

Este artigo trata do problema de sequenciamento de tarefas em um ambiente de máquina única com possibilidade de terceirização. O problema apresentado busca minimizar a soma ponderada dos custos totais de terceirização e do somatório dos tempos de finalização de cada tarefa e é definido na literatura como 1 / Budget / (1 - δ) Σ Cj + δ. OC. Para esta resolução do referido problema, é proposto um método formado por dois estágios: no primeiro estágio, propõe-se que as tarefas sejam sequenciadas, utilizando-se a regra SPT (Shortest Processing Time - Menor Tempo de Processamento) para que se consiga a redução do espaço de busca no grafo gerado, enquanto que, no segundo estágio, é proposto um algoritmo baseado em ACO (Ant Colony Optimization - Otimização por Colônia de Formigas). O algoritmo aqui proposto incorpora ao ACO quatro características específicas do problema estudado, a saber: i) uma representação em forma de grafo para problemas de scheduling que envolvam terceirização, obtida por meio da aplicação do primeiro estágio do método; ii) uma regra de pré-seleção, que garante a viabilidade da solução; iii) uma nova regra de visibilidade específica para o problema; e iv) uma estratégia de busca local. Os resultados obtidos neste trabalho mostram que o algoritmo baseado em ACO desenvolvido é mais eficiente que o algoritmo de Lee e Sung (2008a) que foi o único trabalho encontrado na literatura que trata do problema em discussão. Adicionalmente, a busca local proposta melhorou o resultado para problemas de tamanho médio e grande.This paper considers the problem of scheduling a set of tasks on a single machine environment with outsource allowed. This multicriteria problem, defined as 1 / Budget / (1 - δ) Σ Cj + δ. OC, aims to minimize the weighted sum of total outsourcing costs and the sum of individual completion times. To solve this problem, a two-stage method is proposed: the first stage orders the tasks using the SPT (Shortest Processing Time) rule. The second stage uses an ACO (Ant Colony Optimization) algorithm to decide whether the job will be outsourced by using four problem-specific variations: i) a graph-representation of scheduling problems for scheduling problems with outsourcing allowed; ii) a pre-selection rule that guarantees the viability of the solution; iii) a new problem-specific visibility rule; and iv) a local search strategy. The implementation of this method produces better results than those obtained by Lee and Sung (2008a), the only paper found in the literature that deals with this problem. Moreover, the local search procedure was able to improve the results for medium and large problem sets.

Abstract: The configuration of logistics networks for waste oil and fats collection services is a strategic point of great importance, since their disposal contributes to a number of environmental disturbances, problems in sewage pipes and wastewater treatment systems. Starting from this premise, this paper proposes location of ecopoints in the city of Montes Claros-MG, capable of optimizing the collection of the waste oil and fats in all urban area of the municipality. This proposal of location was constructed in two stages: in the first, the collection network was constructed by integrating a location model of facilities with a geographic information system (GIS). It was possible to model a collection network in the city of Montes Claros - MG containing 87,748 points referenced by geographic coordinates and representatives of residential points considered as potential generators of these residues. During the creation of the model, due to the high density of the network and the low quantity of facilities (p), which causes limitation in the solution, it was observed the need for thematization of the map and consequently the network partitioning in zones, which allowed to determine the initial amount of installations that were to be found in the solution. Finally, an application in the native language of Transcad, GISDK, was developed with a programming interface that was developed to automate the process of integration of the model in the GIS. The model allowed the creation of 12 networks with densities below 12000 points, allowing gain in the solution of the problem.

Abstract: In this paper, the fruit-based beverage production scheduling problem is studied. The aim is to determine the lot sizing and scheduling production, optimizing inventory costs, backorders and cleanings. Fruit-based beverage production processes typically consist of two production stages, beverage preparation and pasteurization/filling/beverage packaging, including the following characteristics: an intermediate inventory in the second stage, temporal cleanings in both stages and the need for synchrony between the two stages. An effective heuristic based on a two-phase mathematical model is proposed to solve the problem in situations where item changeovers in the tanks (Stage 1) and in the lines (Stage 2) are sequence-dependent on the production. In the first stage, the heuristic searches for feasible solutions, while the second is an improvement stage. Computational tests were run using data based on real instances of a beverage company in two variants of the heuristic and both are promising because they are able to find good solutions to the problem in computational times acceptable in practice.

Abstract Supply chain risk management (SCRM) has been widely discussed in the academic literature and several models have been proposed in recent years, but there is a need for a model encompassing phases and tools for SCRM. This study presents a systematic literature review (SLR) of 254 abstracts and 68 full-text papers. The SLR made it possible to identify and define the main phases for the SCRM, as well as the tools proposed for each phase. There is a concentration of efforts in the phases of identification, assessment, and selection of risk management strategies and a limited number of studies in monitoring and controlling risks. The article offers a global SCRM framework, contributing to the theoretical discussions and a practical guide to implementation related to SCRM.

Abstract The concept of Logistics 4.0 works closely to that of Industry 4.0. While Industry 4.0 proposes a disruptive change in manufacturing, Logistics 4.0 advocates a transformation in the way organizations buy, manufacture, sell, and deliver products. The objective of this paper is to identify, in Brazilian companies, the degree of interest in the investment in six emerging technologies applicable to logistics, according to scientific literature, as well as to identify the current perception of data quality of these companies. To achieve these objectives, an online survey was conducted. The research showed that the technologies that most interest Brazilian companies are Internet of Things (IoT) and cloud computing, both with 82% of investment intention. The two technologies that least interested companies are crowdsourcing and 3D printing, both with 68% investment disinterest among respondents.

A maior parte da literatura a respeito de Planejamento e Controle da Produção (PCP) é focada em estudar e desenvolver aplicativos para grandes empresas, principalmente de ambiente repetitivo. Nesse contexto, são as poucas as alternativas para o PCP para pequenas e médias empresas que fabricam sob encomenda, as quais têm papel fundamental na atual economia brasileira. Em resposta a essa demanda, o presente trabalho objetiva apresentar uma abordagem para o PCP denominada Controle de Carga (Workload Control - WLC). Essa abordagem é reconhecidamente um método com potencial para trazer melhorias no lead time, no estoque em processo e na pontualidade de entregas em ambientes que fabricam sob encomenda (Make-To-Order - MTO). Primeiramente, o artigo apresenta a abordagem WLC, revisando e discutindo os principais assuntos tratados pela literatura internacional na área. Após isso, o desempenho do WLC é avaliado por meio de simulação. Os resultados mostram o potencial de melhorias no lead time e nas ordens em atraso que o WLC pode trazer a pequenas e médias empresas que fabricam sob encomenda. Dessa forma, o presente trabalho pretende contribuir tanto para a teoria a respeito de tal abordagem, praticamente introduzindo tal assunto na literatura brasileira, como para a prática, fornecendo e demonstrando, por meio de simulação, aos gerentes de PCP, uma alternativa para suas empresas trabalharem rumo a baixos lead times e de acordo com modernos paradigmas de produção, tais como o Lean Manufacturing e o Quick Response Manufacturing.The majority of Production Planning and Control (PPC) literature is focused on the study and development of solutions for large companies, especially in repetitive environments. Therefore, there are few specific PPC solutions available in the literature for small and medium sized companies (SMC) operating in a Make -to-Order (MTO) environment. This paper presents the Workload Control (WLC), which is a useful PPC approach designed for small sized Make-to-Order companies. According to the literature, such approach has the potential to reduce lead time, work in process, and to provide a better tardiness performance in MTO companies. Firstly, the paper presents the WLC approach reviewing and discussing the main WLC aspects addressed in the literature. The objective is to introduce the concept and present the recent developments to fellow researchers and practitioners. The performance of WLC is then assessed by simulation. The results underline the potential of WLC to bring major improvements in terms of lead time and tardiness performance supporting small and medium sized MTO companies. Therefore, this study aims at contributing to PPC academic and practical areas by introducing WLC approach concepts to Brazilian researchers and managers showing its benefits and potential to help national companies in their efforts towards lead time reduction and best tardiness performance according to modern manufacturing paradigms such as Lean Manufacturing and Quick Response Manufacturing.

Motivado por uma pesquisa que visa estudar como a avaliação de desempenho pode ser utilizada para apoiar a estratégia empresarial, o presente trabalho visa apresentar um processo para selecionar artigos relevantes sobre o tema, publicados entre os anos 2000 e 2010, a fim de compor o cerne de um referencial bibliográfico sobre o tema em questão. O processo possibilitou identificar 41 artigos relevantes e alinhados com o tema de pesquisa em uma base de dados internacional. Além da seleção de artigos, o presente trabalho realiza uma análise bibliométrica desse portfólio e descreve estatisticamente, para o portfólio selecionado, os artigos mais relevantes, os autores e os periódicos que mais publicaram sobre o tema de avaliação de desempenho em uma perspectiva estratégica. Com os resultados, acadêmicos e praticantes podem desenvolver seus arcabouços teóricos sobre artigos, autores e periódicos que mais se destacam nessa área de pesquisa de avaliação de desempenho e estratégia organizacional.Motivated by a study that aims to study how performance measurement can be used to support business strategies, this paper presents a procedure to select relevant articles on the subject in order to compose the core bibliography of this area of knowledge. The process enabled the identification of 41 relevant and aligned articles on the research theme in an international database. In addition to the selection of articles, this paper carries out a bibliometric analysis of this portfolio and describes statistically the most relevant articles, authors, and journals that have published more articles on the topic of performance measurement in a strategic perspective. With the results, academics and practitioners can develop their core collection of articles, authors, and journals that stand out in this research area of performance evaluation and organizational strategy.