Yuri Borba Vefago, AndrÈaCristina Trierweiller, L. B. Paula
Goal: This article aims to analyze the productions in scientific journals of international bases, in English, Portuguese or Spanish, about entrepreneurial university and third mission, focusing on the productions of Brazilian authors, through a systematic search of the literature. Design / Methodology / Approach: We use the SSF Systematic Search Flow method, which is applied in systematic and integrative reviews. Results: An entrepreneurial university, committed to the development of its region, is the key factor in achieving regional innovation, a key institution in knowledge-based societies. In the age of knowledge, the university is as important as industry and government; fundamental for the development of knowledge and innovation. As a result, we identified research challenges and opportunities, contributing to the construction of a panorama of Brazilian scientific production in international journals on the themes entrepreneurial university and third mission. Limitations of the investigation: The most important limitation in this study was the long-time collection of research data. Practical implications: Universities must strengthen their relationship with industry and government to transfer knowledge and, at the same time, demonstrate their contribution to the community, fulfilling their third mission, as a vector for regional socioeconomic growth. Originality / Value: We see the opportunity to consolidate studies on the relationship between the third mission and the entrepreneurial university appropriate to the Brazilian reality.
{"title":"The third mission of universities: the entrepreneurial university","authors":"Yuri Borba Vefago, AndrÈaCristina Trierweiller, L. B. Paula","doi":"10.14488/bjopm.2020.042","DOIUrl":"https://doi.org/10.14488/bjopm.2020.042","url":null,"abstract":"Goal: This article aims to analyze the productions in scientific journals of international bases, in English, Portuguese or Spanish, about entrepreneurial university and third mission, focusing on the productions of Brazilian authors, through a systematic search of the literature. Design / Methodology / Approach: We use the SSF Systematic Search Flow method, which is applied in systematic and integrative reviews. Results: An entrepreneurial university, committed to the development of its region, is the key factor in achieving regional innovation, a key institution in knowledge-based societies. In the age of knowledge, the university is as important as industry and government; fundamental for the development of knowledge and innovation. As a result, we identified research challenges and opportunities, contributing to the construction of a panorama of Brazilian scientific production in international journals on the themes entrepreneurial university and third mission. Limitations of the investigation: The most important limitation in this study was the long-time collection of research data. Practical implications: Universities must strengthen their relationship with industry and government to transfer knowledge and, at the same time, demonstrate their contribution to the community, fulfilling their third mission, as a vector for regional socioeconomic growth. Originality / Value: We see the opportunity to consolidate studies on the relationship between the third mission and the entrepreneurial university appropriate to the Brazilian reality.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82307930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maria Augusta de Castro Seixas, Emmanuel Paiva de Andrade, João Carlos Cândido, Rosa Amélia Pizzol
Rosa Amélia Pizzol rosameliap@bol.com.br ABSTRACT Goal: What a company produces and how it does is permeated by belief, thought and shared feelings in the employees. The goal of this study is to construct an explanation on how this phenomenon manifests itself in an engineering company. Design / Methodology / Approach: The qualitative approach was adequate to understand how elements of individual narratives were related to the company culture. The analytical procedures were based on the systematics of Grounded Theory. Texts written in 2016 by the employees about their work for applying for a knowledge management program within their company were the source of this corpus. Results: The interpretation of the data has shown that four aspects form sets of filters that construct the culture, in a non-homogeneous learning process. In the intersection of these sets we can find essential values that motivate the employees of different positions, activities, regions, genders and ages. Limitations of the investigation: The knowledge management program asked for overcoming stories which is a limiting factor since employees have chosen successful stories from their work to tell. Practical implications: The findings allow us to infer that changing or reinforcing the current values implies the promotion of action that permeates these filters and are simultaneously not in the purview of the company’s management. Originality / Value: The study also pointed out the pertinence of the use of storytelling for knowing the actors’ interpretation about the values of the organization.
{"title":"HOW TO ALIGN ORGANIZATIONAL CULTURE WITH CORPORATE GOALS: A STUDY ON A LARGE-SIZED BRAZILIAN ENGINEERING COMPANY","authors":"Maria Augusta de Castro Seixas, Emmanuel Paiva de Andrade, João Carlos Cândido, Rosa Amélia Pizzol","doi":"10.14488/bjopm.2020.004","DOIUrl":"https://doi.org/10.14488/bjopm.2020.004","url":null,"abstract":"Rosa Amélia Pizzol rosameliap@bol.com.br ABSTRACT Goal: What a company produces and how it does is permeated by belief, thought and shared feelings in the employees. The goal of this study is to construct an explanation on how this phenomenon manifests itself in an engineering company. Design / Methodology / Approach: The qualitative approach was adequate to understand how elements of individual narratives were related to the company culture. The analytical procedures were based on the systematics of Grounded Theory. Texts written in 2016 by the employees about their work for applying for a knowledge management program within their company were the source of this corpus. Results: The interpretation of the data has shown that four aspects form sets of filters that construct the culture, in a non-homogeneous learning process. In the intersection of these sets we can find essential values that motivate the employees of different positions, activities, regions, genders and ages. Limitations of the investigation: The knowledge management program asked for overcoming stories which is a limiting factor since employees have chosen successful stories from their work to tell. Practical implications: The findings allow us to infer that changing or reinforcing the current values implies the promotion of action that permeates these filters and are simultaneously not in the purview of the company’s management. Originality / Value: The study also pointed out the pertinence of the use of storytelling for knowing the actors’ interpretation about the values of the organization.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"56 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75153902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Goal: This paper adapted the Knowledge Risk Management model to a Brazilian project-based organization (Alpha Company), which projects and produces hydropower stations. Design / Methodology / Approach: The Alpha Company study is supported by an exploratory fieldwork, which link theoretical and empirical perspectives based on qualitative data analysis from Alpha company expert interviews about risk and knowledge. Alpha Company is a Brazilian manufacturer of equipment for hydropower stations. The experts interviewed represent a broad spectrum of experience in complex projects that assess 24 projects. Results: The application of Knowledge-based Risk Management model and may support projectoriented organizations to mitigate issues related to project management. Limitations of the investigation: The paper is limited to the judgment of specialists involved in the project of hydroelectric plants and indicates as future studies new applications to other sectors and products. Practical implications: Alpha Company study provides a practical guidelines to support possible strategic change to issue previously planned through the project tasks, and support managers to plan how to mitigate risks related to project issues. Originality / Value: This paper proposes an assessment guidelines based on technical knowledge issues to mitigate risks to achieve project. The paper answers to research opportunities raised on Knowledge and risk management literature, such as a) evaluate project risk analysis in different production contexts; b) apply knowledge-based techniques to support risk evaluation; c) model risk identification, d) update the Massingham’ KMR model to project-based organizations.
{"title":"Knowledge-based risk management model: application in hydropower station projects","authors":"Ednilson Cavaco, Jorge Muniz Junior","doi":"10.14488/bjopm.2020.046","DOIUrl":"https://doi.org/10.14488/bjopm.2020.046","url":null,"abstract":"Goal: This paper adapted the Knowledge Risk Management model to a Brazilian project-based organization (Alpha Company), which projects and produces hydropower stations. Design / Methodology / Approach: The Alpha Company study is supported by an exploratory fieldwork, which link theoretical and empirical perspectives based on qualitative data analysis from Alpha company expert interviews about risk and knowledge. Alpha Company is a Brazilian manufacturer of equipment for hydropower stations. The experts interviewed represent a broad spectrum of experience in complex projects that assess 24 projects. Results: The application of Knowledge-based Risk Management model and may support projectoriented organizations to mitigate issues related to project management. Limitations of the investigation: The paper is limited to the judgment of specialists involved in the project of hydroelectric plants and indicates as future studies new applications to other sectors and products. Practical implications: Alpha Company study provides a practical guidelines to support possible strategic change to issue previously planned through the project tasks, and support managers to plan how to mitigate risks related to project issues. Originality / Value: This paper proposes an assessment guidelines based on technical knowledge issues to mitigate risks to achieve project. The paper answers to research opportunities raised on Knowledge and risk management literature, such as a) evaluate project risk analysis in different production contexts; b) apply knowledge-based techniques to support risk evaluation; c) model risk identification, d) update the Massingham’ KMR model to project-based organizations.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"15 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74771651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joao Carlos Correia Baptista Soares de Mello joaocsmello@gmail.com Federal Fluminense University, Niterói, RJ, Brazil ABSTRACT Goal: This paper presents an analysis of the Brazilian air network based on the measure of h centrality. Design / Methodology / Approach: The purpose of this study is to define and determine the central network using the concepts of h-centrality. Method adapted from graph theory concepts with bibliometrics, especially the h-index. From the center of this index will be listed the most used airports to define the Brazilian central network and thus determinate the type h-index of Brazil. Results: The main airports in the results represent more than 50% of the homologated flights in Brazil. Limitations of the investigation: The centrality measure presents the situation at the moment when the data were analyzed. In the original h-index this notion reflects a history of the articles published by each author, but in the case of airports the market dynamics changes the behavior of the network. Practical implications: This model of air flight frequencies assists in public policy guidelines and planning both in air traffic control and in the verification of system impacts. Originality / Value: The method seeks to provide the list with main important airports without any prior definition by a decision maker.
{"title":"BRAZILIAN AIRPORTS NETWORK EVALUATION","authors":"D. Pereira, J. C. S. D. Mello","doi":"10.14488/bjopm.2020.008","DOIUrl":"https://doi.org/10.14488/bjopm.2020.008","url":null,"abstract":"Joao Carlos Correia Baptista Soares de Mello joaocsmello@gmail.com Federal Fluminense University, Niterói, RJ, Brazil ABSTRACT Goal: This paper presents an analysis of the Brazilian air network based on the measure of h centrality. Design / Methodology / Approach: The purpose of this study is to define and determine the central network using the concepts of h-centrality. Method adapted from graph theory concepts with bibliometrics, especially the h-index. From the center of this index will be listed the most used airports to define the Brazilian central network and thus determinate the type h-index of Brazil. Results: The main airports in the results represent more than 50% of the homologated flights in Brazil. Limitations of the investigation: The centrality measure presents the situation at the moment when the data were analyzed. In the original h-index this notion reflects a history of the articles published by each author, but in the case of airports the market dynamics changes the behavior of the network. Practical implications: This model of air flight frequencies assists in public policy guidelines and planning both in air traffic control and in the verification of system impacts. Originality / Value: The method seeks to provide the list with main important airports without any prior definition by a decision maker.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"74 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85710982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Y. Lartey, Yusheng Kong, S. O. Afriyie, R. Santosh, F. Bah
Fatoumata Binta Maci Bah mariamatimbi@yahoo.com School of Biological Engineering and Life Sciences, Jiangsu University, Zhenjiang 212013, China ABSTRACT Goal: The objective of the paper is to extend the discussions on corporate governance to the public sector and examine good governance from a Ghanaian institutional context. Design / Methodology / Approach: Literature is based on relevant theoretical concepts and seven explanatory variables of corporate governance. Primary data was abstained through structured questionnaires administered to public servants from the Ministries, Departments and Agencies– MDA’s in Accra. Ordinary Least Square multiple regression was employed to analyze a total valid sample of 568. The findings represent the opinions of board of directors, internal auditors, senior management and employees. Results: The empirical result shows that audit committees, leadership, board effectiveness, accountability and directors’ qualification are strong determinants of good governance in public organizations. However, board size has no impact on good governance when board independence is negative. There is evidence that international corporate governance principles are reasonably visible without any significant deviations. Limitation of the investigation: The study is empirically limited with the absence of key variables such as corruption, ethnicity and tribal politics in public organizations in Ghana. These are major factors associated with institutional governance in developing countries. Practical implications: The study observed a negative relationship between board independence and good governance attributed to lack of board diversity. The study implies that gender balanced boards composed of higher ratio of female directors could enhance decision-making and guarantee board effectiveness. Originality / Value: The study emphasizes that public and private organizations share almost similar governance indicators, considering the model estimation. There is evidence that corporate governance is gaining popularity in the public sector, a discussion that is often limited to the private sector. The study contributes to the limited existing findings on the subject from a Ghanaian institutional context. Finally, the results validate many empirical opinions about the negative relationship between good governance and board size from different institutional environments.
{"title":"CORPORATE GOVERNANCE ISSUES IN THE PUBLIC SECTOR: BOARD PERSPECTIVE AND PECULIARITIES","authors":"P. Y. Lartey, Yusheng Kong, S. O. Afriyie, R. Santosh, F. Bah","doi":"10.14488/bjopm.2020.001","DOIUrl":"https://doi.org/10.14488/bjopm.2020.001","url":null,"abstract":"Fatoumata Binta Maci Bah mariamatimbi@yahoo.com School of Biological Engineering and Life Sciences, Jiangsu University, Zhenjiang 212013, China ABSTRACT Goal: The objective of the paper is to extend the discussions on corporate governance to the public sector and examine good governance from a Ghanaian institutional context. Design / Methodology / Approach: Literature is based on relevant theoretical concepts and seven explanatory variables of corporate governance. Primary data was abstained through structured questionnaires administered to public servants from the Ministries, Departments and Agencies– MDA’s in Accra. Ordinary Least Square multiple regression was employed to analyze a total valid sample of 568. The findings represent the opinions of board of directors, internal auditors, senior management and employees. Results: The empirical result shows that audit committees, leadership, board effectiveness, accountability and directors’ qualification are strong determinants of good governance in public organizations. However, board size has no impact on good governance when board independence is negative. There is evidence that international corporate governance principles are reasonably visible without any significant deviations. Limitation of the investigation: The study is empirically limited with the absence of key variables such as corruption, ethnicity and tribal politics in public organizations in Ghana. These are major factors associated with institutional governance in developing countries. Practical implications: The study observed a negative relationship between board independence and good governance attributed to lack of board diversity. The study implies that gender balanced boards composed of higher ratio of female directors could enhance decision-making and guarantee board effectiveness. Originality / Value: The study emphasizes that public and private organizations share almost similar governance indicators, considering the model estimation. There is evidence that corporate governance is gaining popularity in the public sector, a discussion that is often limited to the private sector. The study contributes to the limited existing findings on the subject from a Ghanaian institutional context. Finally, the results validate many empirical opinions about the negative relationship between good governance and board size from different institutional environments.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"19 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87652399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Pereira, E. A. Ferreira, Josivan Leite Alves, Jeniffer de Nadae, Graziela Darla Araujo Galvão
Goal: To analyze the publications on circular economy and supply chain using a systematic review of the literature and bibliometric analysis, the study was designed to answer the question: How is the international scientific production about Circular Economy and Supply Chain characterized? For such an answer it was found that the first published article was on the subject date from 2006 and 2013 there was a steady increase in the number of publications. Many publications mentioned the use of CE in the supply chain through the management of the green supply chain. The country with more publications about the area in the United Kingdom with 19,1% of papers. Moreover, publications are generally about IT product and service supply chains. Design/Methodology/Approach: Systematic literature review based on bibliometric theory and social network analysis, linking Circular Economy and Supply Chain. Results: The articles do not point to studies on a specific supply chain, but only stress the importance of applying Circular Economy to the supply chain to mitigate the environmental impact of materials and products along with the flow from the production process to end consumers. Limitations of the investigation: This paper contributes by analysing the international literature about the selected topics. In a future research agenda, this study could be applied to survey-based research to answer the research propositions suggested. Practical implications: The research helps scholars to identify the main hot topics about Circular Economy and Supply Chain, main authors and papers. Also, can help managers to develop Circular Economy business models to improve and mitigate the environmental impacts on the production and supply chain. Originality / Value: This research sheds light on controversies, discussed in the literature, concerning the effects linking Circular Economy and Supply Chain.
{"title":"Circular economy and supply chain: a literature review","authors":"R. Pereira, E. A. Ferreira, Josivan Leite Alves, Jeniffer de Nadae, Graziela Darla Araujo Galvão","doi":"10.14488/bjopm.2020.048","DOIUrl":"https://doi.org/10.14488/bjopm.2020.048","url":null,"abstract":"Goal: To analyze the publications on circular economy and supply chain using a systematic review of the literature and bibliometric analysis, the study was designed to answer the question: How is the international scientific production about Circular Economy and Supply Chain characterized? For such an answer it was found that the first published article was on the subject date from 2006 and 2013 there was a steady increase in the number of publications. Many publications mentioned the use of CE in the supply chain through the management of the green supply chain. The country with more publications about the area in the United Kingdom with 19,1% of papers. Moreover, publications are generally about IT product and service supply chains. Design/Methodology/Approach: Systematic literature review based on bibliometric theory and social network analysis, linking Circular Economy and Supply Chain. Results: The articles do not point to studies on a specific supply chain, but only stress the importance of applying Circular Economy to the supply chain to mitigate the environmental impact of materials and products along with the flow from the production process to end consumers. Limitations of the investigation: This paper contributes by analysing the international literature about the selected topics. In a future research agenda, this study could be applied to survey-based research to answer the research propositions suggested. Practical implications: The research helps scholars to identify the main hot topics about Circular Economy and Supply Chain, main authors and papers. Also, can help managers to develop Circular Economy business models to improve and mitigate the environmental impacts on the production and supply chain. Originality / Value: This research sheds light on controversies, discussed in the literature, concerning the effects linking Circular Economy and Supply Chain.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"127 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77257503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Heron Felipe Rosas dos Santos, Leila Weitzel Coelho da Silva, A. P. Sobral
Goal: To evaluate the performance of a set of forecasting methods in the prediction of future values on a dataset of time series collected from sensors installed in an industrial gas turbine. Design / Methodology / Approach: Forecasting methods tested include the use of multivariate and univariate neural networks (FNN and LSTM), exponential smoothing and ARIMA models. Results: Results show that the use of ARIMA models to forecast on the dataset is the best default method to apply, and is the only forecasting method that consistently beats a simple naïve no-change model. Limitation of the investigation: There was a focus on evaluating neural networks. This limited resources available to evaluate other forecasting methods. There is no guarantee that it would not be possible to find neural networks capable of yielding better forecasts than the ones achieved by the best performing methods in this research. Practical implications: The broadest possible implications of the results are that the best default method to forecast industrial machinery time series is the use of ARIMA models. Additionally, neural networks are not capable of beating methods well stablished within the forecasting community, namely ARIMA models. Originality / Value: To the best of the authors’ knowledge, there is a scarce amount of published evaluations of multiple forecasting methods on data from real machines. This knowledge is useful for the understanding of the best forecasting methods available for the estimation of machine’s RUL using sensor time series.
Ana Paula Barbosa Sobral ana_sobral@vm.uff.br弗鲁米嫩塞联邦大学，Rio das Ostras, RJ，巴西。摘要:目的:评估一组预测方法在工业燃气轮机传感器收集的时间序列数据集上预测未来值的性能。设计/方法/方法:测试的预测方法包括使用多元和单变量神经网络(FNN和LSTM)，指数平滑和ARIMA模型。结果:结果表明，使用ARIMA模型对数据集进行预测是最好的默认方法，也是唯一始终优于简单naïve无变化模型的预测方法。调查的局限性:有一个重点是评估神经网络。这种有限的资源可用于评价其他预测方法。不能保证不可能找到能够产生比本研究中表现最好的方法更好的预测的神经网络。实际意义:该结果最广泛的可能含义是预测工业机械时间序列的最佳默认方法是使用ARIMA模型。此外，神经网络无法击败预测界中建立良好的方法，即ARIMA模型。原创性/价值:据作者所知，对来自真实机器的数据的多种预测方法的评估发表的数量很少。这些知识对于理解使用传感器时间序列估计机器RUL的最佳预测方法是有用的。
{"title":"FORECAST OF MULTIVARIATE TIME SERIES SAMPLED FROM INDUSTRIAL MACHINERY SENSORS","authors":"Heron Felipe Rosas dos Santos, Leila Weitzel Coelho da Silva, A. P. Sobral","doi":"10.14488/bjopm.2020.010","DOIUrl":"https://doi.org/10.14488/bjopm.2020.010","url":null,"abstract":"Goal: To evaluate the performance of a set of forecasting methods in the prediction of future values on a dataset of time series collected from sensors installed in an industrial gas turbine. Design / Methodology / Approach: Forecasting methods tested include the use of multivariate and univariate neural networks (FNN and LSTM), exponential smoothing and ARIMA models. Results: Results show that the use of ARIMA models to forecast on the dataset is the best default method to apply, and is the only forecasting method that consistently beats a simple naïve no-change model. Limitation of the investigation: There was a focus on evaluating neural networks. This limited resources available to evaluate other forecasting methods. There is no guarantee that it would not be possible to find neural networks capable of yielding better forecasts than the ones achieved by the best performing methods in this research. Practical implications: The broadest possible implications of the results are that the best default method to forecast industrial machinery time series is the use of ARIMA models. Additionally, neural networks are not capable of beating methods well stablished within the forecasting community, namely ARIMA models. Originality / Value: To the best of the authors’ knowledge, there is a scarce amount of published evaluations of multiple forecasting methods on data from real machines. This knowledge is useful for the understanding of the best forecasting methods available for the estimation of machine’s RUL using sensor time series.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"26 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90221711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Arenhart, Morgana Pizzolato, A. A. Mendes, L. F. Braghirolli
Goal: implement maintenance plans based on RCM in a laboratory and identify difficulties in the preparation of a maintenance plan for measuring instruments of a calibration and testing laboratory. Design / Methodology / Approach: Survey of the general maintenance scenario in PHEI laboratories, through individual interviews, and the implementation of maintenance plans elaborated from the implementation of Reliability Centered Maintenance (RCM). Results: Adaptations of the maintenance activities carried out by the analyzed laboratory. A demonstration of the laboratory's great adherence to the ANBT NBR ISO / IEC 17025 standard, besides the possibility of improving the quality of the service. Limitations of the investigation: The limitations are tied to the literature found on the subject and the application of maintenance plans restricted to only one university laboratory. Practical implications: Improve the literature on maintenance plans and facilitate the practical elaboration of these plans by laboratories. Originality / Value: Practical application of the preparation of maintenance plans for measuring instruments, not found in the literature of the subject.
目标:在实验室实施基于RCM的维修计划，识别校准和检测实验室测量仪器维修计划编制中的困难。设计/方法/途径:调查PHEI实验室的一般维修场景，通过个人访谈，以及从实施以可靠性为中心的维修(RCM)中阐述的维修计划的实施。结果:分析实验室开展的维修活动的适应性。除了提高服务质量的可能性外，还展示了实验室对ANBT NBR ISO / IEC 17025标准的严格遵守。调查的局限性:这些局限性与有关该主题的文献和仅限于一个大学实验室的维护计划的应用有关。实际意义:改进关于维护计划的文献，并促进实验室对这些计划的实际阐述。原创性/价值:实际应用的测量仪器的维修计划的编制，没有发现在该学科的文献。
{"title":"Contribution evaluation of the maintenance plans based on reliability centered maintenance for measuring instruments in Public Higher Education Institutions","authors":"R. Arenhart, Morgana Pizzolato, A. A. Mendes, L. F. Braghirolli","doi":"10.14488/bjopm.2020.020","DOIUrl":"https://doi.org/10.14488/bjopm.2020.020","url":null,"abstract":"Goal: implement maintenance plans based on RCM in a laboratory and identify difficulties in the preparation of a maintenance plan for measuring instruments of a calibration and testing laboratory. Design / Methodology / Approach: Survey of the general maintenance scenario in PHEI laboratories, through individual interviews, and the implementation of maintenance plans elaborated from the implementation of Reliability Centered Maintenance (RCM). Results: Adaptations of the maintenance activities carried out by the analyzed laboratory. A demonstration of the laboratory's great adherence to the ANBT NBR ISO / IEC 17025 standard, besides the possibility of improving the quality of the service. Limitations of the investigation: The limitations are tied to the literature found on the subject and the application of maintenance plans restricted to only one university laboratory. Practical implications: Improve the literature on maintenance plans and facilitate the practical elaboration of these plans by laboratories. Originality / Value: Practical application of the preparation of maintenance plans for measuring instruments, not found in the literature of the subject.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"59 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88493725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Silva, Marcelo E. Aragão, J. O. Trierweiler, L. F. Trierweiler
Goal: Hydrogen has shown increasing demand in oil refineries, due to the importance of its use as a sulfur capture element. As different oils and products require different amounts of hydrogen, their use optimally is an essential tool for refinery production scheduling. A comparison was made between the different approaches used in optimization via mathematical programming. Design / Methodology / Approach: One of the most used methods for hydrogen network optimization is through mathematical programming. Linear and non-linear models are discussed, positive aspects of each formulation and different initialization techniques for non-linear modeling were considered. Results: The optimization through the linear model was more satisfactory, taking into account the payback of the new proposed design, combined with the use of compressor rearrangement, which reduces the investment cost. Limitations of the investigation: The objective function chosen is based on the operational cost, but another approach to be considered would be the total annual cost. In addition, the parameters related to costs are obtained from the literature and may change over the years. Practical implications: The proposal is to discuss the main aspects of each model, showing which models more robust and easier to converge are capable of providing competitive results. Also, different initialization techniques that can be used in future works. Originality / Value: The main contribution is the relationship between hydrogen management and production scheduling and for that, a discussion is made about possible formulations. Linear model is sufficient to optimize the problem, due to its main characteristics discussed.
{"title":"An overview of different approaches in hydrogen network optimization via mathematical programming","authors":"P. Silva, Marcelo E. Aragão, J. O. Trierweiler, L. F. Trierweiler","doi":"10.14488/bjopm.2020.031","DOIUrl":"https://doi.org/10.14488/bjopm.2020.031","url":null,"abstract":"Goal: Hydrogen has shown increasing demand in oil refineries, due to the importance of its use as a sulfur capture element. As different oils and products require different amounts of hydrogen, their use optimally is an essential tool for refinery production scheduling. A comparison was made between the different approaches used in optimization via mathematical programming. Design / Methodology / Approach: One of the most used methods for hydrogen network optimization is through mathematical programming. Linear and non-linear models are discussed, positive aspects of each formulation and different initialization techniques for non-linear modeling were considered. Results: The optimization through the linear model was more satisfactory, taking into account the payback of the new proposed design, combined with the use of compressor rearrangement, which reduces the investment cost. Limitations of the investigation: The objective function chosen is based on the operational cost, but another approach to be considered would be the total annual cost. In addition, the parameters related to costs are obtained from the literature and may change over the years. Practical implications: The proposal is to discuss the main aspects of each model, showing which models more robust and easier to converge are capable of providing competitive results. Also, different initialization techniques that can be used in future works. Originality / Value: The main contribution is the relationship between hydrogen management and production scheduling and for that, a discussion is made about possible formulations. Linear model is sufficient to optimize the problem, due to its main characteristics discussed.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90074817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-08DOI: 10.14488/bjopm.2019.v16.n4.a14
Wagner Viana Bretas, Alline Sardinha Cordeiro Morais, H. D. Hora, Edson Terra Azevedo Filho
Goal: This article aims to propose a model for stratifying technological information from meta-data contained in international patent bases, capable of supporting the strategic decision making that potentiates actions directed to foreign trade. Design / Methodology / Approach: This applied research was based on the KDD Knowledge Discovery in Databases methodology and carried out a study focused on green patents. Patent bibliographic data published in the Patent Cooperation Treaty (PCT) from 2003 to 2012, focusing on alternative energies, more precisely on biofuels, were obtained from the Derwent database, with the search string based on the Green Patents IPC Inventory, published by the World Intellectual Property Organization (WIPO). After treatment and sanitization, more than 36,000 resulting records were performed under C4.5 algorithm, denominated J-48 from the software Weka, resulting in Brazil as the destination country. Results: A decision tree was established, in which Mexico was highlighted as the main discretionary country. It was also verified the adhesion of the other emerging countries, which, along with Brazil, compose the BRICS. Limitations of the investigation: The proposed model is limited to areas that show intensive use of technology in products and processes. Practical implications: It could be inferred that the proposed method can help companies to identify international markets more sensitive to a certain technology, from a free database, reliable and capable of being used by micro and small companies. Originality / Value: In scientific communication, it is not easy to find Data mining applied to Patent database, and in this study, BRICS cluster were identified in Green patents WIPO deposit.
{"title":"Knowledge extraction on international markets from patent bases: a study on green patents","authors":"Wagner Viana Bretas, Alline Sardinha Cordeiro Morais, H. D. Hora, Edson Terra Azevedo Filho","doi":"10.14488/bjopm.2019.v16.n4.a14","DOIUrl":"https://doi.org/10.14488/bjopm.2019.v16.n4.a14","url":null,"abstract":"Goal: This article aims to propose a model for stratifying technological information from meta-data contained in international patent bases, capable of supporting the strategic decision making that potentiates actions directed to foreign trade. Design / Methodology / Approach: This applied research was based on the KDD Knowledge Discovery in Databases methodology and carried out a study focused on green patents. Patent bibliographic data published in the Patent Cooperation Treaty (PCT) from 2003 to 2012, focusing on alternative energies, more precisely on biofuels, were obtained from the Derwent database, with the search string based on the Green Patents IPC Inventory, published by the World Intellectual Property Organization (WIPO). After treatment and sanitization, more than 36,000 resulting records were performed under C4.5 algorithm, denominated J-48 from the software Weka, resulting in Brazil as the destination country. Results: A decision tree was established, in which Mexico was highlighted as the main discretionary country. It was also verified the adhesion of the other emerging countries, which, along with Brazil, compose the BRICS. Limitations of the investigation: The proposed model is limited to areas that show intensive use of technology in products and processes. Practical implications: It could be inferred that the proposed method can help companies to identify international markets more sensitive to a certain technology, from a free database, reliable and capable of being used by micro and small companies. Originality / Value: In scientific communication, it is not easy to find Data mining applied to Patent database, and in this study, BRICS cluster were identified in Green patents WIPO deposit.","PeriodicalId":54139,"journal":{"name":"Brazilian Journal of Operations & Production Management","volume":"126 1","pages":"698-705"},"PeriodicalIF":1.1,"publicationDate":"2019-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85110579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：