cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14304964
title: Virtual and augmented reality application in production engineering teaching-learning processes

description: Abstract Paper aims Structure virtual and augmented reality applications in engineering teaching-learning processes, with emphasis on production engineering, highlighting application gaps. Originality First studies that, to which subjects applied virtual and augmented reality in engineering teaching-learning processes, the gaps of application in production engineering, and a discussion about the impacts. Research method The research method applied was the systematic literature review. Main findings Structuring of virtual or augmented reality applications in engineering, discussion about the application in production engineering, opportunities for future research, how low application affects graduated professional education, consequently, organizational competitiveness. Implications for theory and practice The applications of virtual and augmented reality bring developing student skills more actively and cognitively, making training more complete, increasing their skills, and supporting the competitiveness of organizations through professionals who can contribute more broadly and effectively.
DOI: 10.5519/qd.gc36no46
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (10631 records)
DOI: 10.6084/m9.figshare.14304961
title: Comparative analysis between transportation modes for sustainability perspective in one metropolitan region of southern Brazil

description: Abstract Paper aims The objective is to make a comparative analysis between different transportation modes used in the Metropolitan Region of Porto Alegre and to analyze its performance in relation to time, cost and carbon emissions. Originality Investigation of the urban mobility situation on the perspective of sustainability in a Latin American city, including the analysis of Uber pool, implemented in November 2018 in the metropolitan region analyzed. Research method A case study was carried out in the metropolitan area of Porto Alegre, as well as the definition of 4 different routes used as unit of analysis for different types of transportation modes. Main findings Riding bicycle is a very convenient transportation mode in terms of its environmental perspectives and costs. However, the time of locomotion using bicycle is superior in relation to other modes of transportation. Therefore, riding a private car still stands out in the comparisons between different types of transport, since it is a faster mode of transportation. Implications for theory and practice As riding bicycle is a very convenient transportation mode, we highlight the importance of encouraging its use. People can benefit from practicing physical exercise while moving from one place to another and also benefit the environment from lowering carbon emissions.
DOI: 10.6084/m9.figshare.14304959
title: An overview of big data analytics application in supply chain management published in 2010-2019

description: Abstract Paper aims This study reviews the available literature regarding big data analytics applications in supply chain management and provides insight on topics that received a good deal of attention and topics that still require investigation. This review considers the expansion of big data analytics in supply chain management from 2010 to 2019. Originality Beyond displaying the increasing frequency of using big data analytics in supply chain management, the authors also aim to develop a useful categorization of applying business analytics in supply chain management and define opportunities for future research in the field. Research method This paper briefly discusses big data applications in supply chain management. Four common steps in review papers are performed: collecting articles (Thomson Reuters Web of Science), descriptive analysis, defining categories, and evaluating the material. Main findings According to both information technology development trends and the availability of data, more companies are using big data analytics in their supply chains. About 60% of the research on big data applications in supply chain management were published after 2017. These publications have increasingly focused on big data applications in predictive analysis, rather than in the other three types of data analysis: descriptive analysis, diagnostic analysis, and prescriptive analysis. Implications for theory and practice This review shows that the collected data by many companies can be analyzed using big data analytics methods to develop the business growth plan, market direction forecast, manufacturing process simulation, delivery optimization, inventory management, and marketing and sales processes, among many other activities in a supply chain. The number of articles using case studies in the literature is greater than the number of theoretical publications. This shows that big data analytics has now been properly developed for practical applications, rather than just being a theoretical concept.
DOI: 10.6084/m9.figshare.14304957
title: Critical success factors-based taxonomy for Lean Public Management: a systematic review

description: Abstract Paper aims This paper aims to critically review the Lean-based methodologies (e.g. Lean production, Lean Six Sigma, and lean government) in Public Administration to locate the critical success factors (CSFs) for lean public management implementation. Originality It is one of the first systematic literature reviews to explore the CSFs of Lean-based methodologies in the public sector with a strategic focus on the l-government. Research method This research is based on a systematic review of 83 articles that were published on Lean-based methodologies in public sector organizations in well-known academic databases. Main findings There were identified 28 CSFs, grouped by a taxonomy of five significant lean public management categories that deal with the spread of Lean-based methodologies in different public sector environments and can be used to guide continuous improvement (CI) in the public sector. Implications for theory and practice This paper can provide a better panorama to understand the present status of Lean-based methodologies towards public practices, as well as, to bridge the gap of a systematic approach (taxonomy) that could direct CI implementation in the public sector, considering a proper understanding of distinct public management characteristics, which can effectively guide practitioners, facilitating their decision-making.
DOI: 10.6084/m9.figshare.14304955
title: Production Engineering Competencies in the Industry 4.0 context: Perspectives on the Brazilian labor market

description: Abstract Paper aims With its focus on Production Engineering, the advent of Industry 4.0 is increasingly changing the way things are done. In order to further the knowledge regarding this context as well as understand to what extent Brazil is prepared for digital transformation, this study has a twofold aim: 1) to provide a comprehensive conceptualization on competencies currently required for production engineers working in Brazilian manufacturing industries and, 2) to verify if these competencies are aligned with those established by the Brazilian Ministry of Education for engineering schools. Originality Competencies and skills currently required for production engineers have not been described and researched on a comparable in-depth level before. Research method Initially, a content analysis was conducted in order to compile the main competencies in Production Engineer job listings. Next, a chi-square analysis was performed to assess relationships between compiled competencies. Main Findings The results show that companies are increasingly requiring soft competencies beyond technical expertise, in particular, communication skills. Implications for theory and practice Academicians, educators, as well as policy makers and industry leaders can benefit from the information provided in this study.
DOI: 10.6084/m9.figshare.14304953
title: Analysis of new approaches used in portfolio optimization: a systematic literature review

description: Abstract Paper aims To do a comprehensive review of the exact and heuristic methods, software/programming languages, constraints, and types of analysis (technical and fundamental) used to solve the portfolio optimization problem. Originality The paper presents a useful discussion on aspects of portfolio optimization, both for researchers and investors and for finance professionals. Research method A systematic literature review was performed, and the articles were compiled according to pre-established criteria/filters. Main findings A point of attention should be given to the input data of optimization models. Depending on the degree of the estimation error of these input parameters, the optimization results may be lower than the results of the 1/N trading strategy. Implications for theory and practice Robust optimization, Fuzzy logic, and prediction are examples of techniques used to reduce estimation errors. At the end of the article are pointed out trends and some gaps for future work.
DOI: 10.6084/m9.figshare.14304950
title: Dynamic capabilities for sustainable innovation: the case of a footwear company in Brazil

description: Abstract Paper aims This paper aims to investigate which dynamic capabilities are responsible for sustainable innovation. Originality Based on the literature review, we propose a theoretical framework that relates dynamic capabilities to sustainable innovation (considering triple bottom line perceptive), regarding product, process marketing, and organizational innovations typologies. Research method The framework was applied in this research through a case study method in two plants of a large footwear company that operates in the Northeastern region of Brazil. Data were collected by semi-structured interviews, observation, and company documents. Main findings The company developed sustainable innovation focusing on processes and products. The economic aspect of sustainability has a strong influence on these innovations, followed by the environmental aspect. The technological and resource integration are the most critical capabilities. Implications for theory and practice The paper contributes to understanding how DCs are deployed to boost sustainable innovation regarding the product, process, marketing, and organizational innovations typologies. Recognizing which DCs are necessary for sustainable innovation is a first step in being able to manage better and enhance sustainability considering the TBL perspective.
DOI: 10.6084/m9.figshare.14304949
title: Preliminary study for implementation of voluntary delivery points of expanded polystyrene: a case in southern Brazil

description: Abstract Paper aims The purpose of the study is to present a proposal for implementation of Voluntary Delivery Points (VDP) of expanded polystyrene (EPS) in Florianópolis city, Brazil. Originality Transportation, uncertainty of financial return, and lack of population's awareness are barriers for EPS recycling. This paper seeks to overcome these difficulties to give a better destination for EPS other than landfill. A method is proposed for the implementation of VDP to receive this type of waste. As far as the authors know, no previous research has proposed this analysis for Styrofoam® RL. Research method The research method consists of a survey application with the population and spatial analysis using heat maps of the public equipment on QGIS® software. Main findings It was possible to verify the generation capability of EPS waste in Florianópolis, the lack of population’s awareness about EPS recycling, and suitable points for the implementation of VDP to aid in the RL. Implications for theory and practice This paper seeks to encourage researchers and practitioners to develop solutions for EPS RL. The main contribution of this article is presenting a practical alternative method that aims to overcome one of the main barriers of EPS RL, which is low-density waste transportation, dealing with consumer's responsibility for the waste generated, their awareness on the issue and their active contribution to a proper destination of EPS waste.
DOI: 10.6084/m9.figshare.14304946
title: Comparison of selection and combination strategies for demand forecasting methods

description: Abstract Paper aims In this study, effective strategies to combine and select forecasting methods are proposed. In the selection strategy, the best performing forecasting method from a pool of methods is selected based on its accuracy, whereas the combination strategies are based on the mean methods’ outputs and on the methods’ accuracy. Originality Despite the large amount of work in this area, the actual literature lacks of selection and combination strategies of forecasting methods for dealing with intermittent time series. Research method The included forecasting methods are state-of-the-art approaches applied to industrial and academics forecasting problems. Experiments were performed to evaluate the performance of the proposed strategies using a spare part data set of an industry of elevators and a data set from the M3-Competition. Main findings The results show that, in most cases, the accuracy of the demand forecasts can be improved when using the proposed selection and combination strategies. Implications for theory and practice The proposed methodology can be applied to forecasting problems, covering a variety of characteristics (e.g., intermittency, trend). The results reveal that combination strategies have potential application, perform better than state-of-the-art models, and have comparable accuracy in intermittent series. Thus, they can be employed to improve production planning activities.
DOI: 10.6084/m9.figshare.14304945
title: Sustainability in bicycle sharing systems: evidences of travel mode choice changings in Rio de Janeiro

description: Abstract Paper aims This study aims to analyze the travel behaviors changings and the emissions reduction of CO2, CO, NOx and Particulate Matter (PM) promoted by the bicycle sharing system in the city of Rio de Janeiro. Originality The bicycle sharing systems have been experiencing rapid development in recent years, however, few empirical studies explore comprehensively the externalities of bicycle sharing, seeking to quantify the impacts of this travel system type on urban transport. Research method The research method used a modal distribution model calibrated with stated preference interviews and travel data provided by Tembici company. Main findings Results indicated a reduction in 2018 CO2 emissions compared to the existing system in 2014, not only because of the increase in the bicycle sharing system offer, but also due to a higher transfer rates from motorized transport to bicycle, particularly those originated from public transport and Transportation Network Company (TNC) services. Implications for theory and practice Results reveal the bicycle sharing in the city of Rio de Janeiro should be understood as a part of a process of adopting multimodality, with effective reductions achieved by the incentive to change passenger’s travel behavior.
DOI: 10.6084/m9.figshare.14304944
title: Open innovation integration to product development: a sector level analysis within the manufacturing industry

description: Abstract Paper aims the purpose of this study is to analyze how Open Innovation (OI) activities occur in Product Development Processes (PDP) and in the design of new products. Originality the study is based on a self-developed and conducted survey, applied to engineers and managers working in departments involving product development and innovation among the Brazilian automakers. Research method the method adopted is that of a questionnaire-based survey. Results are analyzed through a principal component analysis, followed by ordinary least squares regressions, in order to test the hypotheses proposed. Main findings results suggest that inbound practices were more present than outbound practices, with a strong presence of the supplier in the design process (and not so much of a user-centered approach). Correlation between an organizational culture that favors OI and adoption to newer PDP methods and tools indicate that adopting newer product development methodologies and technologies could lead to a more “open” design process. Implications for theory and practice the research provides an overview of open innovation within the Brazilian automakers, and reports what could be opportunities for the automotive industry to head towards.
DOI: 10.6084/m9.figshare.14304943
title: A fuzzy AHP approach to select suppliers in the Brazilian food supply chain

description: Abstract Paper aims This research proposes to apply the Fuzzy Analytical Hierarchy Process method for the supplier’s selection in a Brazilian food company. Originality It is the first time that food security has been incorporated as a first-level criterion in a process of selecting suppliers in a Brazilian food chain. Research method Practical application was carried out in a food company located in Brazil. Main findings Safety is the most important criteria when selecting a supplier, which ended up reflecting the placement of Supplier 3 as the best rated. Implications for theory and practice This research provides the first practical application of a hybrid mathematical technique in the process of selecting suppliers in a Brazilian food chain, evaluating the Food Security criterion on an equal basis with the others, and not as a sub criterion. The model can help managers better understand their suppliers' capabilities and performance.
DOI: 10.6084/m9.figshare.14304941
title: What are the key determinants of maintenance performance?

description: Abstract Paper aims The main objective of the research is to present a combination of fuzzy decision-making techniques to measure the performance of preventive maintenance systems. Originality This research is a timely response to studying the prominent role of preventive maintenance performance in reducing cost, profitability, and overall organization’s output. Research method This study considers the application of “fuzzy DEMATEL” and ANP techniques for measuring maintenance performance and determining the causal relationships between the criteria and sub-criteria. Main findings It is conjectured that functional and technical criteria, along that with individual and the environmental are of great importance. Among the sub-criteria, employee satisfaction, growth and learning, availability of machinery and equipment, quality of maintenance by the skilled and highly-trained workforce, deem to be the most important ones. Implications for theory and practice The application of the decision techniques and the proposed measurement model for continuous improvement and promotion of maintenance performance.
DOI: 10.6084/m9.figshare.14304940
title: A multi-criteria stochastic programming approach for pre-positioning disaster relief supplies in Brazil

description: Abstract Paper aims Considering that disaster preparedness is essential for a prompt and effective response, this paper presents a study to locate disaster relief supplies. Originality This paper marks the first time a multi-criteria stochastic methodology addresses humanitarian location problems. Research method We propose a multi methodology approach that employs an optimization model and a multi-criteria decision analysis. Based on logistics costs and penalties assigned for unmet demand, a stochastic model minimizes the total operational cost of opening distribution centers for pre-positioning disaster relief supplies. As decisions in humanitarian operations have multiple criteria and small differences in costs may not be significant by considering other criteria, we perform an analysis of the stochastic model solutions through Multi-criteria Decision Analysis. Main findings The findings show that the stochastics model leads to good results in uncertainty accommodation and that the consideration of qualitative and quantitative criteria improves decisions in humanitarian operations, especially when the supplies available are not enough to meet all the demand requirements. Implications for theory and practice The methodology was used by Civil Defense to locate warehouses for prepositioning relief supplies in Sao Paulo State, Brazil.
DOI: 10.6084/m9.figshare.14304939
title: Prioritization of occupational health and safety indicators using the Fuzzy-AHP method

description: Abstract Paper aims This paper aims to assist and facilitate decision-making in health management and work safety by the identification and prioritization of occupational health and safety indicators. Originality This research contributes to the literature by demonstrating the applicability of multicriteria tools to solve health and safety-related issues on organizations and also some implications related to this method. Research method The methodological approach is the application of the Fuzzy AHP method for prioritization of categories of occupational health and safety indicators. Main findings The results show that the category of indicators called “Occupational Health and Safety Management” was considered the most relevant, followed by the categories “Accidents and Diseases” and “Risk Assessment”. Implications for theory and practice For the application of the Fuzzy AHP method it is necessary to compare the level of importance between objects. Collecting these assessments can be difficult. In this paper, more than forty companies were reached but only six responded and only two responses were valid.
DOI: 10.6084/m9.figshare.14304936
title: Analysis of hospital flow management: the 3 R’s approach

description: Abstract Paper aims This article aims to study the logistics problems in Brazilian hospitals through Lean methods, approaching different aspects of logistics and the procedures adopted in health institutions such as receiving, storage and transporting. Originality The rising of hospitals’ costs is importantly impacted by hospital logistics. They are caused by aspects such as unstandardized processes and inadequate layout and equipment in critical stages of logistic operations. However, these problems are rarely addressed in literature. Research method We developed, through Design Science Research and lean tools, a model based on route, rhythm and routine (3 R’s) that enables the identification of logistics problems. Main findings Hospitals present complex logistic operations. The application of the model developed identified improvement opportunities due to unnecessary activities, lack of space and infrastructure, and lack of standardized procedures. These findings enable improvements in operations and a better comprehension of the factors that impact the processes of internal logistics. Implications for theory and practice The model provides a comprehensive view of the logistical process, its stages and aspects of improvement. Therefore, hospital managers can better identify and address logistical problems directly at non-value adding activities. Adaptations may be required due to the healthcare environment specificities.