Pub Date : 1900-01-01DOI: 10.1590/1806-9649-2022v30e4922
Julia Menegon, E. Isatto
Abstract: The emergence of new technologies based on the exchange of data and information via the internet has prompted a revolution in the industry as a whole. First applied in manufacturing, the movement known as the Fourth Industrial Revolution soon spread and changed the dynamics of many other fields. Digital twins (DTs), one of the technologies that emerged in this scenario, are used to replicate physical environments in virtual models. Such models must be supplied with up-to-date information throughout a product's lifecycle to ensure accurate representation of the real asset. DTs have great potential to impact the construction industry, supporting facilities management, simulation tasks, and centralized management and recording of interventions. However, despite the attention the theme has attracted among researchers and companies, implementation of the concept in practical situations is still largely underexplored. Thus, this study aims to critically analyze the concept of DTs and their potential in the construction industry, particularly in inspection and maintenance tasks for existing structures. The study comprises a literature review undertaken to identify the multiple types of DT models, examine barriers and opportunities associated with their use, and discuss their potential as enablers of inspection and maintenance strategies. Furthermore, research opportunities related to the use of DTs for structural inspection and maintenance are suggested.
{"title":"Digital twins as enablers of structure inspection and maintenance","authors":"Julia Menegon, E. Isatto","doi":"10.1590/1806-9649-2022v30e4922","DOIUrl":"https://doi.org/10.1590/1806-9649-2022v30e4922","url":null,"abstract":"Abstract: The emergence of new technologies based on the exchange of data and information via the internet has prompted a revolution in the industry as a whole. First applied in manufacturing, the movement known as the Fourth Industrial Revolution soon spread and changed the dynamics of many other fields. Digital twins (DTs), one of the technologies that emerged in this scenario, are used to replicate physical environments in virtual models. Such models must be supplied with up-to-date information throughout a product's lifecycle to ensure accurate representation of the real asset. DTs have great potential to impact the construction industry, supporting facilities management, simulation tasks, and centralized management and recording of interventions. However, despite the attention the theme has attracted among researchers and companies, implementation of the concept in practical situations is still largely underexplored. Thus, this study aims to critically analyze the concept of DTs and their potential in the construction industry, particularly in inspection and maintenance tasks for existing structures. The study comprises a literature review undertaken to identify the multiple types of DT models, examine barriers and opportunities associated with their use, and discuss their potential as enablers of inspection and maintenance strategies. Furthermore, research opportunities related to the use of DTs for structural inspection and maintenance are suggested.","PeriodicalId":146264,"journal":{"name":"Gestão & Produção","volume":"26 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128493508","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 : 1900-01-01DOI: 10.1590/1806-9649-2022v29e6922
Ayrton Benedito Gaia do Couto, L. Rangel
Abstract: The current study proposes a novel prediction model of sustainability classes for electricity distribution companies in Brazil, based on sustainability indicators, aiming at a more effective risk management for a certain company among their competitors. Because such indicators are based on quantitative and qualitative measures and are very likely to incur imprecisions in their measures, the model to be proposed is based on a Multicriteria Decision Support, Rough Sets Theory, which allows the mathematical treatment of those imprecisions, and Artificial Intelligence, in this case, Machine Learning by rules inference. Consequently, decision tables are generated with condition attributes, sustainability indicators, and decision attributes, sustainability classes: high, medium or low. As a result, it is possible to predict sustainability classes based in temporal series of indicators and rules inference from decision tables, using RoughSets package in R and the jMAF software, demonstrating the use of five rule generation algorithms and their respective accuracies.
{"title":"Model proposition for predicting sustainability classes using multicriteria decision support and artificial intelligence","authors":"Ayrton Benedito Gaia do Couto, L. Rangel","doi":"10.1590/1806-9649-2022v29e6922","DOIUrl":"https://doi.org/10.1590/1806-9649-2022v29e6922","url":null,"abstract":"Abstract: The current study proposes a novel prediction model of sustainability classes for electricity distribution companies in Brazil, based on sustainability indicators, aiming at a more effective risk management for a certain company among their competitors. Because such indicators are based on quantitative and qualitative measures and are very likely to incur imprecisions in their measures, the model to be proposed is based on a Multicriteria Decision Support, Rough Sets Theory, which allows the mathematical treatment of those imprecisions, and Artificial Intelligence, in this case, Machine Learning by rules inference. Consequently, decision tables are generated with condition attributes, sustainability indicators, and decision attributes, sustainability classes: high, medium or low. As a result, it is possible to predict sustainability classes based in temporal series of indicators and rules inference from decision tables, using RoughSets package in R and the jMAF software, demonstrating the use of five rule generation algorithms and their respective accuracies.","PeriodicalId":146264,"journal":{"name":"Gestão & Produção","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121652836","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 : 1900-01-01DOI: 10.1590/1806-9649-2022v29e06
L. Borella, Margareth Rodrigues de Carvalho Borella, L. Corso
Abstract The aim of this study is to conduct climate forecasting with models of artificial neural networks as a tool in the decision-making process for the planting of some types of agricultural products. A database with the main climate elements was built from the National Institute of Meteorology (INMET), and those elements that influenced the average temperature value the most were found at a significance level of 0.05. Models of Artificial Neural Networks were developed and tested using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), Root-Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE), before being linked to the best agricultural cultivation forecast value. Twelve neural networks were elaborated, eight of them are related to the temperature forecast and the other four are related to the precipitation forecast. The networks that showed the best performance are those that consider all the elements of climate. It is possible to conclude that the artificial neural networks showed an adequate performance in predicting chaotic time series, and that their results were therefore linked to the optimum cultivation to use for each forecast. A schedule is supplied at the end, indicating the ideal time to plant each of the crops evaluated. Carrot is found to be the best suited crop for the forecasted range over the next five years.
{"title":"Climate analysis using neural networks as supporting to the agriculture","authors":"L. Borella, Margareth Rodrigues de Carvalho Borella, L. Corso","doi":"10.1590/1806-9649-2022v29e06","DOIUrl":"https://doi.org/10.1590/1806-9649-2022v29e06","url":null,"abstract":"Abstract The aim of this study is to conduct climate forecasting with models of artificial neural networks as a tool in the decision-making process for the planting of some types of agricultural products. A database with the main climate elements was built from the National Institute of Meteorology (INMET), and those elements that influenced the average temperature value the most were found at a significance level of 0.05. Models of Artificial Neural Networks were developed and tested using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), Root-Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE), before being linked to the best agricultural cultivation forecast value. Twelve neural networks were elaborated, eight of them are related to the temperature forecast and the other four are related to the precipitation forecast. The networks that showed the best performance are those that consider all the elements of climate. It is possible to conclude that the artificial neural networks showed an adequate performance in predicting chaotic time series, and that their results were therefore linked to the optimum cultivation to use for each forecast. A schedule is supplied at the end, indicating the ideal time to plant each of the crops evaluated. Carrot is found to be the best suited crop for the forecasted range over the next five years.","PeriodicalId":146264,"journal":{"name":"Gestão & Produção","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127954715","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 : 1900-01-01DOI: 10.1590/1806-9649-2022v29e9021
Ana Cláudia Lara, Elizangela Maria Pas Menegon, Simone Sehnem, E. Kuzma
Abstract: Companies strive for superior results. Focusing on return, performance, and profitability is mainstream; this reasoning is constantly present in the decisions of the strategic operational management of companies. Based on this assumption, the objective of this work is to evaluate empirically whether the degree to which a company implements a combination of Just in Time (JIT) or Lean Manufacturing practices systematically affects the company's operational, financial, and/or organisational performance. For this, a meta-analysis was carried out; the final sample consisted of 28 articles, with 41 studies and 12,708 included subjects who provided the effects that explain the proposed relationship. The data were collected in the Web of Science, EBSCO, and Science Direct databases, with an open period, considering all works available until July 2020. Among the main findings, JIT practices and the company's operational performance present a positive, significant, medium effect. Lean manufacturing practices demonstrate a positive and significant relationship in operational, financial, and organisational performance, all with an average impact on the effect size. No direct relationship was found between the JIT variables and organisational performance (financial, operational, and environmental), based on the TBL. Additional research is needed regarding the relationship of JIT and Lean Manufacturing practices with the organisational performance (financial, operational, and environmental) based on the TBL, as well as an in-depth analysis of previous research related to green Lean practices and their relationship with organisational performance, based on the TBL.
摘要:企业追求卓越的业绩。关注回报、业绩和盈利能力是主流;这种推理经常出现在公司战略运营管理的决策中。基于这一假设，本工作的目标是根据经验评估公司实施准时制(JIT)或精益生产实践组合的程度是否系统地影响公司的运营，财务和/或组织绩效。为此，进行了荟萃分析;最终的样本包括28篇文章，41项研究和12708个提供了解释所提出的关系的影响的对象。数据收集于Web of Science、EBSCO和Science Direct数据库，考虑到2020年7月之前的所有可用作品，有一个开放期。在主要发现中，JIT实践与公司的经营绩效呈现正的、显著的、中等的影响。精益生产实践在运营、财务和组织绩效方面表现出积极和显著的关系，所有这些都对效应大小有平均影响。基于TBL，没有发现JIT变量和组织绩效(财务、运营和环境)之间的直接关系。需要进一步研究基于TBL的JIT和精益生产实践与组织绩效(财务、运营和环境)的关系，以及对基于TBL的绿色精益实践及其与组织绩效关系的先前研究进行深入分析。
{"title":"Relationship between Just in Time, Lean Manufacturing, and Performance Practices: a meta-analysis","authors":"Ana Cláudia Lara, Elizangela Maria Pas Menegon, Simone Sehnem, E. Kuzma","doi":"10.1590/1806-9649-2022v29e9021","DOIUrl":"https://doi.org/10.1590/1806-9649-2022v29e9021","url":null,"abstract":"Abstract: Companies strive for superior results. Focusing on return, performance, and profitability is mainstream; this reasoning is constantly present in the decisions of the strategic operational management of companies. Based on this assumption, the objective of this work is to evaluate empirically whether the degree to which a company implements a combination of Just in Time (JIT) or Lean Manufacturing practices systematically affects the company's operational, financial, and/or organisational performance. For this, a meta-analysis was carried out; the final sample consisted of 28 articles, with 41 studies and 12,708 included subjects who provided the effects that explain the proposed relationship. The data were collected in the Web of Science, EBSCO, and Science Direct databases, with an open period, considering all works available until July 2020. Among the main findings, JIT practices and the company's operational performance present a positive, significant, medium effect. Lean manufacturing practices demonstrate a positive and significant relationship in operational, financial, and organisational performance, all with an average impact on the effect size. No direct relationship was found between the JIT variables and organisational performance (financial, operational, and environmental), based on the TBL. Additional research is needed regarding the relationship of JIT and Lean Manufacturing practices with the organisational performance (financial, operational, and environmental) based on the TBL, as well as an in-depth analysis of previous research related to green Lean practices and their relationship with organisational performance, based on the TBL.","PeriodicalId":146264,"journal":{"name":"Gestão & Produção","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132512121","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 : 1900-01-01DOI: 10.1590/1806-9649-2022v29e5221
Amr Mohamed Ali, S. Yacout, E. Rabeih, Y. Shaban
Abstract: This paper presents a novel simulation model of the Cyber Process Control System (CPCS) by combining pattern recognition and Cloud Computing (CC). This paper's originality arises from its aim to build a cloud computing platform for autonomous machines, and the exploration of manufacturing data to generate interpretable patterns to be used in process control decision making. The combining of Cloud technology and machine learning brings production to Industry 4.0. The proposed system is tested using data Carbon Fiber Reinforced Polymer (CFRP) routing process. The little information available about the manufacturing process of this type of material and the interaction between the production steps makes the manufacturing process quite difficult. This system generates interpretable rules of controllable operating parameters sent to the controller to keep the machining process within the limits of the specifications. The second step is activated during the drifting conditions in the machining step. Also, the simulation of the machining process is illustrated to generate the relations between input and output variables of the machining process. The findings of the corrective actions are illustrated and the interaction between the two industrial steps is simulated. Finally, current and future CPCS and CC applications in Industry 4.0 are discussed.
{"title":"A cyber process control system based on pattern recognition and cloud computing","authors":"Amr Mohamed Ali, S. Yacout, E. Rabeih, Y. Shaban","doi":"10.1590/1806-9649-2022v29e5221","DOIUrl":"https://doi.org/10.1590/1806-9649-2022v29e5221","url":null,"abstract":"Abstract: This paper presents a novel simulation model of the Cyber Process Control System (CPCS) by combining pattern recognition and Cloud Computing (CC). This paper's originality arises from its aim to build a cloud computing platform for autonomous machines, and the exploration of manufacturing data to generate interpretable patterns to be used in process control decision making. The combining of Cloud technology and machine learning brings production to Industry 4.0. The proposed system is tested using data Carbon Fiber Reinforced Polymer (CFRP) routing process. The little information available about the manufacturing process of this type of material and the interaction between the production steps makes the manufacturing process quite difficult. This system generates interpretable rules of controllable operating parameters sent to the controller to keep the machining process within the limits of the specifications. The second step is activated during the drifting conditions in the machining step. Also, the simulation of the machining process is illustrated to generate the relations between input and output variables of the machining process. The findings of the corrective actions are illustrated and the interaction between the two industrial steps is simulated. Finally, current and future CPCS and CC applications in Industry 4.0 are discussed.","PeriodicalId":146264,"journal":{"name":"Gestão & Produção","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134185089","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 : 1900-01-01DOI: 10.1590/1806-9649-2022v29e7921
C. Silva, A. Matos
abstract: Leadership is a key element of quality management, and, as such, it has been identified as an influential factor in the maturity of quality management systems (QMSs). Some of the previous studies on the relationship between leadership styles and QMS performance have argued that no universal best leadership style exists, stressing that leadership practices should be appropriate to the context. Thus, this research aims to further explore this relationship by considering the QMS context, namely the practitioners' leadership profile and the QMS maturity. Accordingly, the primary objectives of this study are 1) to understand if a leadership style is predominant depending on the QMS maturity and 2) to understand the relationship between the leadership practices of different styles and the dimensions of the QMS maturity. An exploratory quantitative study was developed in companies located in Portugal through a survey based on the maturity model developed by Nascimento et al. (2016) and the Multifactor Leadership Questionnaire®-5X Short Leader Form MLQ of Avolio and Bass (1995). The diagnosis disclosed that only 32% of the sample had a QMS with higher maturity levels (4 and 5, a scale of 1 to 5). The results highlighted that no single leadership style dominates a specific maturity level. Furthermore, a significant positive correlation was demonstrated between several practices of transformational and transactional leadership styles and the dimensions of QMS maturity. As a practical contribution, a guideline was provided with some examples of leadership practices and their impacts on the specific dimensions of QMS maturity. Some steps were also proposed to enable organisations to develop a tailored programme to foster leadership practices suitable to the internal context and promote QMS maturity.
{"title":"Quality Management Systems: correlation study between leadership and maturity","authors":"C. Silva, A. Matos","doi":"10.1590/1806-9649-2022v29e7921","DOIUrl":"https://doi.org/10.1590/1806-9649-2022v29e7921","url":null,"abstract":"abstract: Leadership is a key element of quality management, and, as such, it has been identified as an influential factor in the maturity of quality management systems (QMSs). Some of the previous studies on the relationship between leadership styles and QMS performance have argued that no universal best leadership style exists, stressing that leadership practices should be appropriate to the context. Thus, this research aims to further explore this relationship by considering the QMS context, namely the practitioners' leadership profile and the QMS maturity. Accordingly, the primary objectives of this study are 1) to understand if a leadership style is predominant depending on the QMS maturity and 2) to understand the relationship between the leadership practices of different styles and the dimensions of the QMS maturity. An exploratory quantitative study was developed in companies located in Portugal through a survey based on the maturity model developed by Nascimento et al. (2016) and the Multifactor Leadership Questionnaire®-5X Short Leader Form MLQ of Avolio and Bass (1995). The diagnosis disclosed that only 32% of the sample had a QMS with higher maturity levels (4 and 5, a scale of 1 to 5). The results highlighted that no single leadership style dominates a specific maturity level. Furthermore, a significant positive correlation was demonstrated between several practices of transformational and transactional leadership styles and the dimensions of QMS maturity. As a practical contribution, a guideline was provided with some examples of leadership practices and their impacts on the specific dimensions of QMS maturity. Some steps were also proposed to enable organisations to develop a tailored programme to foster leadership practices suitable to the internal context and promote QMS maturity.","PeriodicalId":146264,"journal":{"name":"Gestão & Produção","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130867238","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 : 1900-01-01DOI: 10.1590/1806-9649-2022v29e020
T. Amaral, Roberto Sebba Kafuri, M. L. Oliveira, Matheus Ramos Kafuri, Ronny Marcelo Aliaga Medrano
Abstract Several topics were analyzed to produce this article, such as Evaluation Engineering, Data Modeling, Data Mining and Big Data. Although the literature on these theories is extensive, there is no record of their simultaneous use in favor of conducting an analysis of the real estate market in a city or region. The present work aims to use these theories to elaborate and implement quantitative criteria which group real estate projects according to their sale speed in order to classify them as high or low demand in the market. Thus, a database was used to develop the proposal, containing the number of units sold from 268 real estate developments in Goiânia with a launch date between January 2016 to December 2019, recorded month by month, generating a total of 4746 entries in the database. Data Mining and Big Data techniques were used to determine the database to perform the research and enable direct comparison between the analyzed enterprises. It was possible to accurately define the greatest market opportunities by studying the characteristics of the number of bedrooms, private square footage, price per square meter, apartment price and location.
{"title":"Analysis of sales of vertical residential real estate projects in Goiânia and its influencing factors","authors":"T. Amaral, Roberto Sebba Kafuri, M. L. Oliveira, Matheus Ramos Kafuri, Ronny Marcelo Aliaga Medrano","doi":"10.1590/1806-9649-2022v29e020","DOIUrl":"https://doi.org/10.1590/1806-9649-2022v29e020","url":null,"abstract":"Abstract Several topics were analyzed to produce this article, such as Evaluation Engineering, Data Modeling, Data Mining and Big Data. Although the literature on these theories is extensive, there is no record of their simultaneous use in favor of conducting an analysis of the real estate market in a city or region. The present work aims to use these theories to elaborate and implement quantitative criteria which group real estate projects according to their sale speed in order to classify them as high or low demand in the market. Thus, a database was used to develop the proposal, containing the number of units sold from 268 real estate developments in Goiânia with a launch date between January 2016 to December 2019, recorded month by month, generating a total of 4746 entries in the database. Data Mining and Big Data techniques were used to determine the database to perform the research and enable direct comparison between the analyzed enterprises. It was possible to accurately define the greatest market opportunities by studying the characteristics of the number of bedrooms, private square footage, price per square meter, apartment price and location.","PeriodicalId":146264,"journal":{"name":"Gestão & Produção","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133799039","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 : 1900-01-01DOI: 10.1590/1806-9649-2022v29e622
Jacqueline de Almeida Barbosa Franco, Maximilian Espuny, J. M. Reis, Gabriel Miranda Monteiro Diogo, L. Paes, A. C. Costa, T. Nunhes, L. C. Barbosa, A. M. Rodrigues, R. Battistelle, O. Oliveira
Abstract: With the outbreak of social withdrawal due to the pandemic, many countries have undergone drastic transformations in various spheres. In education, face-to-face classes were transformed into distance learning. However, this sudden change caused several problems for students and teachers. Given these events, the purpose of this article was to propose exceptional actions to improve the transition from face-to-face classes to virtual classes. For this, the elements that positively and negatively impacted education in the Covid-19 pandemic were identified in the literature. These elements were then clustered into four strategies, these being: redesign of pedagogical practices, psychological and social support, technological infrastructure in virtual teaching, and school management to cope with the pandemic scenario. The multiple case study method was used, investigating five technical schools located in the state of São Paulo (Brazil). With this, it was possible to propose 10 exceptional actions aimed at the transition from face-to-face classes to virtual classes. The main novelty of this article was the proposition of actions to motivate the school community against the impacts of the pandemic, building memory in its agents, making them more prepared for unexpected events.
{"title":"Digital transformation in school management: the legacy that strategic actions in the 2020s leave for future pandemics","authors":"Jacqueline de Almeida Barbosa Franco, Maximilian Espuny, J. M. Reis, Gabriel Miranda Monteiro Diogo, L. Paes, A. C. Costa, T. Nunhes, L. C. Barbosa, A. M. Rodrigues, R. Battistelle, O. Oliveira","doi":"10.1590/1806-9649-2022v29e622","DOIUrl":"https://doi.org/10.1590/1806-9649-2022v29e622","url":null,"abstract":"Abstract: With the outbreak of social withdrawal due to the pandemic, many countries have undergone drastic transformations in various spheres. In education, face-to-face classes were transformed into distance learning. However, this sudden change caused several problems for students and teachers. Given these events, the purpose of this article was to propose exceptional actions to improve the transition from face-to-face classes to virtual classes. For this, the elements that positively and negatively impacted education in the Covid-19 pandemic were identified in the literature. These elements were then clustered into four strategies, these being: redesign of pedagogical practices, psychological and social support, technological infrastructure in virtual teaching, and school management to cope with the pandemic scenario. The multiple case study method was used, investigating five technical schools located in the state of São Paulo (Brazil). With this, it was possible to propose 10 exceptional actions aimed at the transition from face-to-face classes to virtual classes. The main novelty of this article was the proposition of actions to motivate the school community against the impacts of the pandemic, building memory in its agents, making them more prepared for unexpected events.","PeriodicalId":146264,"journal":{"name":"Gestão & Produção","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121109284","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 : 1900-01-01DOI: 10.1590/1806-9649-2022v29e5022
Raoni Rocha, José Marçal Jackson Filho, A. Garrigou, Adelaide Nascimento
Abstract Although Ergonomic Workplace Analysis (EWA) practice is common in Brazil, some critics have asserted that it is not sufficient to bring about an effective change of the workplace. Although this criticism may be partly admissible in regard to Brazilian ergonomics, it cannot be considered to apply to France, where Activity-Centered Ergonomics was born. At the same time, it is important to not confuse EWA with the broader field of Activity-Centered Ergonomics. Against this background, this article seeks to analyze the elements that characterize contemporary ergonomics practices in Brazil so as to compare them to the modes of intervention developed in France. We also seek to investigate models, concepts and methods so as to expand the possibilities of ergonomic interventions in Brazil. To do so, we will start from a theoretical examination of the development of EWA in Brazil from its origins in France, presenting an intervention conducted at a French electricity company. Next, we will discuss the losses suffered by EWA during the transfer of EWA methodology from France to Brazil, as well as the need to cultivate social construction at all stages of these interventions. We conclude by showing the importance of developing this debate in the field of ergonomics and the need to continue it.
{"title":"Social construction as a means of ergonomic intervention","authors":"Raoni Rocha, José Marçal Jackson Filho, A. Garrigou, Adelaide Nascimento","doi":"10.1590/1806-9649-2022v29e5022","DOIUrl":"https://doi.org/10.1590/1806-9649-2022v29e5022","url":null,"abstract":"Abstract Although Ergonomic Workplace Analysis (EWA) practice is common in Brazil, some critics have asserted that it is not sufficient to bring about an effective change of the workplace. Although this criticism may be partly admissible in regard to Brazilian ergonomics, it cannot be considered to apply to France, where Activity-Centered Ergonomics was born. At the same time, it is important to not confuse EWA with the broader field of Activity-Centered Ergonomics. Against this background, this article seeks to analyze the elements that characterize contemporary ergonomics practices in Brazil so as to compare them to the modes of intervention developed in France. We also seek to investigate models, concepts and methods so as to expand the possibilities of ergonomic interventions in Brazil. To do so, we will start from a theoretical examination of the development of EWA in Brazil from its origins in France, presenting an intervention conducted at a French electricity company. Next, we will discuss the losses suffered by EWA during the transfer of EWA methodology from France to Brazil, as well as the need to cultivate social construction at all stages of these interventions. We conclude by showing the importance of developing this debate in the field of ergonomics and the need to continue it.","PeriodicalId":146264,"journal":{"name":"Gestão & Produção","volume":"305 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115663671","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 : 1900-01-01DOI: 10.1590/1806-9649-2022v29e13921
Claudio Roberto Silva Júnior, J. Siluk, Alvaro Luiz Neuenfeldt Júnior, C. B. Rosa, C. Michelin
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.
摘要:本研究对影响创业公司竞争力的主要关键成功因素(critical success factors, CSFs)进行了系统的文献综述。考虑到与竞争力相关的方面应该是组织的目标，特别是早期公司，本文确定了关于创业公司竞争力的广泛因素。选取Scopus和Web of Science数据库中的36篇文献，利用VOSviewer软件对语料库进行深入的文献计量分析。确定了影响创业公司竞争力的25个csf，并将其分为三个基本观点(fpv)，即:组织、人力和环境。组织FPV涵盖了定义创业公司内部特征的因素。人力FPV由人力资本特征组成，而环境FPV则是指外部因素和创业环境。这项工作可以帮助从业者和政策制定者了解创业公司的竞争力及其所涉及的要素，并为他们提供一个健全的概念框架。
{"title":"Overview of the factors that influence the competitiveness of startups: a systematized literature review","authors":"Claudio Roberto Silva Júnior, J. Siluk, Alvaro Luiz Neuenfeldt Júnior, C. B. Rosa, C. Michelin","doi":"10.1590/1806-9649-2022v29e13921","DOIUrl":"https://doi.org/10.1590/1806-9649-2022v29e13921","url":null,"abstract":"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.","PeriodicalId":146264,"journal":{"name":"Gestão & Produção","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130216217","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}
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