Pub Date : 2020-01-01DOI: 10.1590/0103-6513.20190086
L. S. Goecks, Alex Almeida dos Santos, A. Korzenowski
RS, Brasil *lucas_goecks@hotmail.com Abstract Paper aims: Due to the scarcity of research on current scenarios of quality management in the 21 st century, this article addresses the concepts of big data and Industry 4.0 for decision-making in quality control. Originality: This article contributes to completing categorizations and answering questions that have been previously suggested. Research method: This study presents a systematic literature review and qualitative data. The methodological framework shows the process of the selection and review of articles according to their alignment with the objective of the study. Main findings: Seventeen articles were selected to structure the study and were classified according the categories presented in the literature. The vast majority of the research gaps pointed out in previous review have been filled since their publication. Implications for theory and practice: In addition, this article presents new gaps to be filled and complements the literature and concepts about quality management neuro-fuzzy inference systems (ANFIS). The study identified critical adoption factors from a literature review and categorized them into technological, organizational, and environmental dimensions. Data were collected from 234 industrial managers who were involved in the decision-making process regarding IT acquisition in manufacturing companies in Malaysia. The results of the study showed that technological factors have the most considerable influence on the adoption of big data and the performance of companies. The study shows that complexity and technological resources for adoption are the main barriers to adopting technological factors. The study of Para et al. (2019) presents the methodology Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID), an interactive decision flow to improve the production stage. By putting the data analyst at the center of the workflow, this methodology helps improvement teams make decisions about what parts of a process need to be investigated and how to exploit that information for verifiable improvement in the production cycle. The methodology implementation is exemplified by a real case study of the automotive industry, where the detection of defects in an annealing process can be modeled as a classification problem in a highly unbalanced data set. The results obtained after applying the ASPPID methodology showed that the scrap rate was reduced, thus highlighting the crucial role of the data analyst in the plant management team. In the study developed by Tsai et al. (2019b), the authors present a structure for the study of the relationship between the manufacturing execution system (MES) and activity-based standard costing (ABSC). These results demonstrate the concept of ABSC, combining activity-based costing (ABC) and MES. Finally, the authors describe the ABSC mixed decision model using mathematical programming (with LINGO software). With limited resources, the opti
{"title":"Decision-making trends in quality management: a literature review about Industry 4.0","authors":"L. S. Goecks, Alex Almeida dos Santos, A. Korzenowski","doi":"10.1590/0103-6513.20190086","DOIUrl":"https://doi.org/10.1590/0103-6513.20190086","url":null,"abstract":"RS, Brasil *lucas_goecks@hotmail.com Abstract Paper aims: Due to the scarcity of research on current scenarios of quality management in the 21 st century, this article addresses the concepts of big data and Industry 4.0 for decision-making in quality control. Originality: This article contributes to completing categorizations and answering questions that have been previously suggested. Research method: This study presents a systematic literature review and qualitative data. The methodological framework shows the process of the selection and review of articles according to their alignment with the objective of the study. Main findings: Seventeen articles were selected to structure the study and were classified according the categories presented in the literature. The vast majority of the research gaps pointed out in previous review have been filled since their publication. Implications for theory and practice: In addition, this article presents new gaps to be filled and complements the literature and concepts about quality management neuro-fuzzy inference systems (ANFIS). The study identified critical adoption factors from a literature review and categorized them into technological, organizational, and environmental dimensions. Data were collected from 234 industrial managers who were involved in the decision-making process regarding IT acquisition in manufacturing companies in Malaysia. The results of the study showed that technological factors have the most considerable influence on the adoption of big data and the performance of companies. The study shows that complexity and technological resources for adoption are the main barriers to adopting technological factors. The study of Para et al. (2019) presents the methodology Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID), an interactive decision flow to improve the production stage. By putting the data analyst at the center of the workflow, this methodology helps improvement teams make decisions about what parts of a process need to be investigated and how to exploit that information for verifiable improvement in the production cycle. The methodology implementation is exemplified by a real case study of the automotive industry, where the detection of defects in an annealing process can be modeled as a classification problem in a highly unbalanced data set. The results obtained after applying the ASPPID methodology showed that the scrap rate was reduced, thus highlighting the crucial role of the data analyst in the plant management team. In the study developed by Tsai et al. (2019b), the authors present a structure for the study of the relationship between the manufacturing execution system (MES) and activity-based standard costing (ABSC). These results demonstrate the concept of ABSC, combining activity-based costing (ABC) and MES. Finally, the authors describe the ABSC mixed decision model using mathematical programming (with LINGO software). With limited resources, the opti","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67575404","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 : 2020-01-01DOI: 10.1590/0103-6513.20190072
H. Rodrigues, W. Alves, Ângela Silva
Paper aims: This research has two main objectives, firstly to analyze the level of implementation of lean and green practices of a set of companies and secondly to analyze the relationship between lean and green initiatives in an industrial context. Originality: The use of Structural Equation Modelling (SEM) allows a better analysis of the interlinkage of lean and green towards sustainable gains. The developed model offers conceptual contribution to the arena of the logistics, sustainability, lean and green. Research methods: The methodology used in this study was carried out resorting an inquiry. Firstly, aiming to understand the level of these practices (lean and green) practices in the North of Portugal, a case study was considered. The sample taken is a convenient one, due to time and budget constraints. Secondly, in order to assess the possibility to combine lean ad and green initiatives, a statistical approach was used to develop a SEM for lean and green practices. Main findings: The results demonstrated that the level of implementation of lean and green practices on Portuguese companies are not properly addressed and formalized. The statistical analysis also showed that lean environmental practices and green practices are positively associated. The research showed that lean and green has also a positive impact on the logistics processes of companies. Implications for theory and practice: This research brings some contributions to both academy and companies. Firstly, a further discussion about the benefits of combining lean and green towards sustainability. Secondly, the development of a structural model for lean and green practices was presented, this model contributes to a better understanding of these practices, which can lead companies to develop strategic initiatives towards sustainability.
{"title":"The impact of lean and green practices on logistics performance: a structural equation modelling","authors":"H. Rodrigues, W. Alves, Ângela Silva","doi":"10.1590/0103-6513.20190072","DOIUrl":"https://doi.org/10.1590/0103-6513.20190072","url":null,"abstract":"Paper aims: This research has two main objectives, firstly to analyze the level of implementation of lean and green practices of a set of companies and secondly to analyze the relationship between lean and green initiatives in an industrial context. Originality: The use of Structural Equation Modelling (SEM) allows a better analysis of the interlinkage of lean and green towards sustainable gains. The developed model offers conceptual contribution to the arena of the logistics, sustainability, lean and green. Research methods: The methodology used in this study was carried out resorting an inquiry. Firstly, aiming to understand the level of these practices (lean and green) practices in the North of Portugal, a case study was considered. The sample taken is a convenient one, due to time and budget constraints. Secondly, in order to assess the possibility to combine lean ad and green initiatives, a statistical approach was used to develop a SEM for lean and green practices. Main findings: The results demonstrated that the level of implementation of lean and green practices on Portuguese companies are not properly addressed and formalized. The statistical analysis also showed that lean environmental practices and green practices are positively associated. The research showed that lean and green has also a positive impact on the logistics processes of companies. Implications for theory and practice: This research brings some contributions to both academy and companies. Firstly, a further discussion about the benefits of combining lean and green towards sustainability. Secondly, the development of a structural model for lean and green practices was presented, this model contributes to a better understanding of these practices, which can lead companies to develop strategic initiatives towards sustainability.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67575624","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 : 2020-01-01DOI: 10.1590/0103-6513.20190102
Jobel Santos Correa, Mauro Sampaio, Rodrigo de Casto Barros, W. Hilsdorf
Paper aims : This paper aims to identify the degree of interest and expected return time on investment in Internet of Things (IoT) and Big Data Analytics (BDA) technologies by Brazilian logistics companies. Originality : A logistics system that meets the requirements imposed by Industry 4.0 is known as Logistics 4.0. According to the current scientific literature, IoT and BDA technologies are the most promising for the Logistics 4.0 applications. Studies on the adoption of these technologies in Brazil are still embryonic and this paper collaborates to narrow this knowledge gap. Research method : Exploratory research was conducted using the quantitative approach. Main findings : The evidence of the interest in investment in IoT and BDA by Brazilian logistics companies, confirming the current literature. Implications for theory and practice : The identification of the intended practical applications for Iot and BDA, as well as the expected difficulties in the implementation of these Technologies.
{"title":"IoT and BDA in the Brazilian future logistics 4.0 scenario","authors":"Jobel Santos Correa, Mauro Sampaio, Rodrigo de Casto Barros, W. Hilsdorf","doi":"10.1590/0103-6513.20190102","DOIUrl":"https://doi.org/10.1590/0103-6513.20190102","url":null,"abstract":"Paper aims : This paper aims to identify the degree of interest and expected return time on investment in Internet of Things (IoT) and Big Data Analytics (BDA) technologies by Brazilian logistics companies. Originality : A logistics system that meets the requirements imposed by Industry 4.0 is known as Logistics 4.0. According to the current scientific literature, IoT and BDA technologies are the most promising for the Logistics 4.0 applications. Studies on the adoption of these technologies in Brazil are still embryonic and this paper collaborates to narrow this knowledge gap. Research method : Exploratory research was conducted using the quantitative approach. Main findings : The evidence of the interest in investment in IoT and BDA by Brazilian logistics companies, confirming the current literature. Implications for theory and practice : The identification of the intended practical applications for Iot and BDA, as well as the expected difficulties in the implementation of these Technologies.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67575740","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 : 2020-01-01DOI: 10.1590/0103-6513.20200059
Daniel Wintersberger, M. Saunders
Paper aims: To provide guidance on formulating and clarifying research questions from abstract and broad ideas. Originality: Reports of empirical research invariably offer limited insights on the opaque process of developing research questions, aims and objectives. Moreover, we are not aware of a similar discussion within this journal, as well as other management journals. Research method: This is a theoretical paper. Main findings: Among other factors, our discussion highlights the role of theory and self-reflection in the process of research topic refinement. We consider the nature and types of theoretical contribution a research project can make, highlighting some common reasons why journal submissions are often rejected due to failure to provide a theoretical contribution. Implications for theory and practice: Greater reflexivity in this process should ultimately lead to clearer theoretical contributions and more manageable research topics, with greater practical and societal relevance.
{"title":"Formulating and clarifying the research topic: insights and a guide for the production management research community","authors":"Daniel Wintersberger, M. Saunders","doi":"10.1590/0103-6513.20200059","DOIUrl":"https://doi.org/10.1590/0103-6513.20200059","url":null,"abstract":"Paper aims: To provide guidance on formulating and clarifying research questions from abstract and broad ideas. Originality: Reports of empirical research invariably offer limited insights on the opaque process of developing research questions, aims and objectives. Moreover, we are not aware of a similar discussion within this journal, as well as other management journals. Research method: This is a theoretical paper. Main findings: Among other factors, our discussion highlights the role of theory and self-reflection in the process of research topic refinement. We consider the nature and types of theoretical contribution a research project can make, highlighting some common reasons why journal submissions are often rejected due to failure to provide a theoretical contribution. Implications for theory and practice: Greater reflexivity in this process should ultimately lead to clearer theoretical contributions and more manageable research topics, with greater practical and societal relevance.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67575940","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 : 2020-01-01DOI: 10.1590/0103-6513.20200018
Carlos Henrique dos Santos, Renan Delgado Camurça Lima, F. Leal, José Antonio de Queiroz, P. Balestrassi, J. A. B. Montevechi
de Itajubá, Itajubá, MG, Brasil *chenrique.santoss@gmail.com Abstract Paper aims: Propose a continuous decision support system, a Digital Twin, integrating two widely used techniques, Discrete Event Simulation and forecasting methods. Originality: With the evolution of the industry, there is a growing need for increasingly agile and assertive decision support systems. Also, familiar tools and techniques tend to change over time to suit such a scenario, supporting new researches on their use in the modern industry. Research method: The proposed method allows the use of simulation, with the aid of forecasting methods, for continuous decision making, composing the so-called Digital Twin. The method was applied in a real process to validate it. Main findings: The Moving Average, Single Exponential Smoothing, and Double Exponential Smoothing forecasting methods were used to supply the simulation model in order to test scenarios and guide decision making. The developed system enabled a virtual copy with a certain degree of intelligence and that provides answers to make the Implications for theory and proposed method be used for several operational problems like headcount, production planning and covers different levels of decision. Therefore, it can be used both on the The real process records the materials consumed directly in the operation’s ERP system. Such registration occurs at the moment of consumption by the production lines, supplying the process database. The dashboard automatically accesses the standard ERP system reports and analyzes the data to transform it into information, allowing the forecasting methods to be automatically executed. The dashboard compares the results obtained through the forecasting techniques to choose the result with the lowest error, based on three metrics: Mean In which y is the observed time series, m is the length of seasonality, t l represents the level of the series, t b denotes growth, t s is the seasonal component and | t ht y + is the forecast for h periods ahead of t based on all data up to time t. The , , αβ and γ are the smoothing parameters of the
摘要论文的目的是:提出一个连续的决策支持系统，一个数字孪生，集成两种广泛使用的技术，离散事件模拟和预测方法。原创性:随着行业的发展，对越来越敏捷和自信的决策支持系统的需求越来越大。此外，熟悉的工具和技术往往会随着时间的推移而改变，以适应这种情况，从而支持对它们在现代工业中的应用进行新的研究。研究方法:提出的方法允许在预测方法的帮助下使用模拟进行连续决策，构成所谓的数字孪生。并在实际生产过程中进行了验证。主要发现:采用移动平均、单指数平滑和双指数平滑预测方法提供模拟模型，以检验情景和指导决策。所开发的系统使虚拟副本具有一定程度的智能，并提供答案，使理论和建议的方法的含义被用于几个操作问题，如人员统计，生产计划和涵盖不同层次的决策。因此，它既可以在实际过程中使用，也可以直接在操作的ERP系统中记录消耗的材料。这种注册发生在生产线消耗的时刻，提供过程数据库。仪表板自动访问标准ERP系统报告并分析数据以将其转换为信息，从而允许自动执行预测方法。仪表板比较结果通过预测技术选择最低的结果误差,基于三个指标:意味着y是观察到的时间序列,m是季节性的长度,t l代表的系列,t b表示增长,t s是季节性组件和| t ht y + h时期之前,t的预测是基于所有数据时间t。,α,β和γ的平滑参数
{"title":"A decision support tool for operational planning: a Digital Twin using simulation and forecasting methods","authors":"Carlos Henrique dos Santos, Renan Delgado Camurça Lima, F. Leal, José Antonio de Queiroz, P. Balestrassi, J. A. B. Montevechi","doi":"10.1590/0103-6513.20200018","DOIUrl":"https://doi.org/10.1590/0103-6513.20200018","url":null,"abstract":"de Itajubá, Itajubá, MG, Brasil *chenrique.santoss@gmail.com Abstract Paper aims: Propose a continuous decision support system, a Digital Twin, integrating two widely used techniques, Discrete Event Simulation and forecasting methods. Originality: With the evolution of the industry, there is a growing need for increasingly agile and assertive decision support systems. Also, familiar tools and techniques tend to change over time to suit such a scenario, supporting new researches on their use in the modern industry. Research method: The proposed method allows the use of simulation, with the aid of forecasting methods, for continuous decision making, composing the so-called Digital Twin. The method was applied in a real process to validate it. Main findings: The Moving Average, Single Exponential Smoothing, and Double Exponential Smoothing forecasting methods were used to supply the simulation model in order to test scenarios and guide decision making. The developed system enabled a virtual copy with a certain degree of intelligence and that provides answers to make the Implications for theory and proposed method be used for several operational problems like headcount, production planning and covers different levels of decision. Therefore, it can be used both on the The real process records the materials consumed directly in the operation’s ERP system. Such registration occurs at the moment of consumption by the production lines, supplying the process database. The dashboard automatically accesses the standard ERP system reports and analyzes the data to transform it into information, allowing the forecasting methods to be automatically executed. The dashboard compares the results obtained through the forecasting techniques to choose the result with the lowest error, based on three metrics: Mean In which y is the observed time series, m is the length of seasonality, t l represents the level of the series, t b denotes growth, t s is the seasonal component and | t ht y + is the forecast for h periods ahead of t based on all data up to time t. The , , αβ and γ are the smoothing parameters of the","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67575856","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 : 2020-01-01DOI: 10.1590/0103-6513.20190038
L. Lerman, Amália Koefender, G. B. Benitez, Mateus José do Rêgo Ferreira Lima, A. G. Frank
Columbus, Ohio, United States *guilherme.benitez@hotmail.com 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
{"title":"Comparative analysis between transportation modes for sustainability perspective in one metropolitan region of southern Brazil","authors":"L. Lerman, Amália Koefender, G. B. Benitez, Mateus José do Rêgo Ferreira Lima, A. G. Frank","doi":"10.1590/0103-6513.20190038","DOIUrl":"https://doi.org/10.1590/0103-6513.20190038","url":null,"abstract":"Columbus, Ohio, United States *guilherme.benitez@hotmail.com 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","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67575097","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 : 2020-01-01DOI: 10.1590/0103-6513.20190131
G. A. Borges, G. Tortorella, Felipe Martinez, Matthias Thurer
*g.tortorella@ufsc.br Abstract Paper aims: This article aims to evaluate the impact of Lean Production (LP) practices implementation on the supply chain of a public hospital. Originality: Most implementations fall short of their goals because they are done in a fragmented way and not from a system-wide perspective. Our approach allows to anticipate errors of misguided LP implementations in healthcare organizations. Research method: The implementation of a set of LP practices in the hospital`s supply chain was assessed by computational simulation modelling, focusing on one of the most financially important product families. Main findings: Since the simulation model considers the variability of suppliers and customers as inputs, it allows the verification of the proposed inventory policies effectiveness, in order to avoid affecting the service level. Implications for theory and practice: The proposition of a method that integrates value stream mapping into computational simulation modelling brings a differentiated approach to analyze lean implementation in a healthcare supply chain. The simulation model supports a more assertive decision-making process on lean implementation, allowing the organization to ensure that the quality and efficiency of healthcare is not
{"title":"Simulation-based analysis of lean practices implementation on the supply chain of a public hospital","authors":"G. A. Borges, G. Tortorella, Felipe Martinez, Matthias Thurer","doi":"10.1590/0103-6513.20190131","DOIUrl":"https://doi.org/10.1590/0103-6513.20190131","url":null,"abstract":"*g.tortorella@ufsc.br Abstract Paper aims: This article aims to evaluate the impact of Lean Production (LP) practices implementation on the supply chain of a public hospital. Originality: Most implementations fall short of their goals because they are done in a fragmented way and not from a system-wide perspective. Our approach allows to anticipate errors of misguided LP implementations in healthcare organizations. Research method: The implementation of a set of LP practices in the hospital`s supply chain was assessed by computational simulation modelling, focusing on one of the most financially important product families. Main findings: Since the simulation model considers the variability of suppliers and customers as inputs, it allows the verification of the proposed inventory policies effectiveness, in order to avoid affecting the service level. Implications for theory and practice: The proposition of a method that integrates value stream mapping into computational simulation modelling brings a differentiated approach to analyze lean implementation in a healthcare supply chain. The simulation model supports a more assertive decision-making process on lean implementation, allowing the organization to ensure that the quality and efficiency of healthcare is not","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67575369","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 : 2020-01-01DOI: 10.1590/0103-6513.20190019
Felipe Ungarato Ferreira, Sabine Robra, P. C. C. Ribeiro, Carlos Francisco Simões Gomes, J. Neto, L. Rodrigues
da Bahia, Itapetinga, BA, Brasil *priscillaribeiro@id.uff.br Abstract Paper aims : The paper proposes an enhancement to a focal company in the dairy supply chain, in order to support sustainable performance. Originality : The authors conclude that previous life cycle assessment (LCA) studies did not recommend for dairy supply chain or use this approach to assess the environmental impacts in this chain. Research method : A cradle-to-gate attributional life cycle assessment (LCA) study performed in a focal company and considering its transport and processing stages, and three scenarios were proposed as suitable. Main findings : The impacts derive from energy use and transportation of feedstocks, and the use of cleaning products and certain types of packaging materials. A decrease of 46.5% of the impact in the photochemical oxidant formation category was achieved. Implications for theory and practice : The results can identify the different impacts throughout the dairy chain associated with the main product’s life cycle,
da Bahia, Itapetinga, BA, Brasil *priscillaribeiro@id.uff.br摘要论文的目的:本文提出了一个重点公司在乳制品供应链的增强，以支持可持续绩效。原创性:作者得出结论，以前的生命周期评估(LCA)研究并没有推荐乳制品供应链或使用这种方法来评估该链中的环境影响。研究方法:以某焦点企业为研究对象，考虑其运输和加工阶段，进行从摇篮到闸门的归因生命周期评估(LCA)研究，提出三种适合的情景。主要发现:这些影响来自能源使用和原料运输，以及清洁产品和某些类型包装材料的使用。在光化学氧化形成类别中，影响降低了46.5%。对理论和实践的启示:结果可以识别与主要产品生命周期相关的整个乳制品链的不同影响;
{"title":"Towards a contribution to sustainable management of a dairy supply chain","authors":"Felipe Ungarato Ferreira, Sabine Robra, P. C. C. Ribeiro, Carlos Francisco Simões Gomes, J. Neto, L. Rodrigues","doi":"10.1590/0103-6513.20190019","DOIUrl":"https://doi.org/10.1590/0103-6513.20190019","url":null,"abstract":"da Bahia, Itapetinga, BA, Brasil *priscillaribeiro@id.uff.br Abstract Paper aims : The paper proposes an enhancement to a focal company in the dairy supply chain, in order to support sustainable performance. Originality : The authors conclude that previous life cycle assessment (LCA) studies did not recommend for dairy supply chain or use this approach to assess the environmental impacts in this chain. Research method : A cradle-to-gate attributional life cycle assessment (LCA) study performed in a focal company and considering its transport and processing stages, and three scenarios were proposed as suitable. Main findings : The impacts derive from energy use and transportation of feedstocks, and the use of cleaning products and certain types of packaging materials. A decrease of 46.5% of the impact in the photochemical oxidant formation category was achieved. Implications for theory and practice : The results can identify the different impacts throughout the dairy chain associated with the main product’s life cycle,","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67574956","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 : 2020-01-01DOI: 10.1590/0103-6513.20190093
Flávia Roesler Cordeiro, C. A. Paslauski, Priscila Wachs, Maria A. C. Tinoco
Alegre, RS, Brasil *carollpaslauski@hotmail.com Abstract Paper aims : Identify the differences in the competences of the production engineering alumni and the importance attributed to it by : This is funded on investigating the gap between the competences the academy and the job market attribute to the professional of production engineering. Research method : A questionnaire with production engineers was conducted to collect data that was analyzed using descriptive and predictive quantitative methods. Main findings : Soft skills have higher importance to the job market but are the less addressed by universities. Professional competence importance is dependent on the sector. The skills with the higher gaps are associated with the constant transformation of industries and the increasing complexity of decision-making. Implications for theory and practice : Theory should adopt a strategic orientation to guide the prioritization of competences and practice must adapt selection mechanisms to test for soft skills and customize it had alpha application through NCSS, besides simple graphs, IPA matrix, and ANOVA.
{"title":"Production engineers profiling: competences of the professional the market wants","authors":"Flávia Roesler Cordeiro, C. A. Paslauski, Priscila Wachs, Maria A. C. Tinoco","doi":"10.1590/0103-6513.20190093","DOIUrl":"https://doi.org/10.1590/0103-6513.20190093","url":null,"abstract":"Alegre, RS, Brasil *carollpaslauski@hotmail.com Abstract Paper aims : Identify the differences in the competences of the production engineering alumni and the importance attributed to it by : This is funded on investigating the gap between the competences the academy and the job market attribute to the professional of production engineering. Research method : A questionnaire with production engineers was conducted to collect data that was analyzed using descriptive and predictive quantitative methods. Main findings : Soft skills have higher importance to the job market but are the less addressed by universities. Professional competence importance is dependent on the sector. The skills with the higher gaps are associated with the constant transformation of industries and the increasing complexity of decision-making. Implications for theory and practice : Theory should adopt a strategic orientation to guide the prioritization of competences and practice must adapt selection mechanisms to test for soft skills and customize it had alpha application through NCSS, besides simple graphs, IPA matrix, and ANOVA.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67575549","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 : 2020-01-01DOI: 10.1590/0103-6513.20200012
Rafael Ortega Marin, P. C. Kaminski
Brasil *rafaelortegamarin@gmail.com 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
{"title":"Open innovation integration to product development: a sector level analysis within the manufacturing industry","authors":"Rafael Ortega Marin, P. C. Kaminski","doi":"10.1590/0103-6513.20200012","DOIUrl":"https://doi.org/10.1590/0103-6513.20200012","url":null,"abstract":"Brasil *rafaelortegamarin@gmail.com 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","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67575842","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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