Pub Date : 2022-01-01DOI: 10.1590/0103-6513.20210101
S. Bernardo, I. Rampasso, O. Quelhas, W. Leal Filho, R. Anholon
Life Sciences, Hamburg, Germany *izabela.rampasso@ucn.cl Abstract Paper aims: The main objective of this article is to present and validate a method to integrate multiple management tools aiming for organizational excellence in medium and large enterprises. Originality: There is a scarcity of methods to integrate management tools to support companies in their operations. This study aims to fill this gap, proposing a manner for companies to perform this integration. Research method: The method was developed considering tools and concepts well-established in the literature, such as Lean Thinking, Six Sigma, Balanced ScoreCard, among other management tools. The mentioned method was validated through a survey with managers and directors who are experts in organizational strategies. They were carefully selected considering their professional background. Main findings: The proposed method provides an alignment between strategy and execution, presenting a cyclical characteristic to be continuously reviewed method, considering market needs. The survey verified the adherence of the method and to conclude that it is a feasible alternative to reach organizational excellence. Although integration of management methods is fundamental for companies to reach organizational excellence status, this kind of guidelines is scarce in the literature. Implications for theory and practice: This method can be used to plan follow-up meetings (SMMs), the adoption of sight management practices, the implementation of MPMs and OPMs, the structuring of plans. the implementation of the cadence meeting culture and the structuring of the meritocracy program. For this phase an implementation period of 12 months is estimated.
{"title":"Method to integrate management tools aiming organizational excellence","authors":"S. Bernardo, I. Rampasso, O. Quelhas, W. Leal Filho, R. Anholon","doi":"10.1590/0103-6513.20210101","DOIUrl":"https://doi.org/10.1590/0103-6513.20210101","url":null,"abstract":"Life Sciences, Hamburg, Germany *izabela.rampasso@ucn.cl Abstract Paper aims: The main objective of this article is to present and validate a method to integrate multiple management tools aiming for organizational excellence in medium and large enterprises. Originality: There is a scarcity of methods to integrate management tools to support companies in their operations. This study aims to fill this gap, proposing a manner for companies to perform this integration. Research method: The method was developed considering tools and concepts well-established in the literature, such as Lean Thinking, Six Sigma, Balanced ScoreCard, among other management tools. The mentioned method was validated through a survey with managers and directors who are experts in organizational strategies. They were carefully selected considering their professional background. Main findings: The proposed method provides an alignment between strategy and execution, presenting a cyclical characteristic to be continuously reviewed method, considering market needs. The survey verified the adherence of the method and to conclude that it is a feasible alternative to reach organizational excellence. Although integration of management methods is fundamental for companies to reach organizational excellence status, this kind of guidelines is scarce in the literature. Implications for theory and practice: This method can be used to plan follow-up meetings (SMMs), the adoption of sight management practices, the implementation of MPMs and OPMs, the structuring of plans. the implementation of the cadence meeting culture and the structuring of the meritocracy program. For this phase an implementation period of 12 months is estimated.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67577518","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 : 2022-01-01DOI: 10.1590/0103-6513.20220020
Noel Torres Júnior, A. Azevedo, A. Simões, M. Ladeira, P. R. Sousa, Lauro Soares de Freitas
Paper aims: This study analyzes the comprehension of production engineering students about the influence of some key variables on the process performance measures in a service process. Originality: This paper points out the need for educators to re-evaluate their approaches to teaching the Operations Management (OM) principles related to process flow measures. Research method: This study used scenario-based role-playing experiments with 2×2×2 between-subject factorial design with three independent variables (variability of activities, capacity utilization, and resource pooling) and four dependent variables related to key internal process performance measures (Flow Time, Overall Quality of service, Quality of service employees, and Queue Size). The sample was composed of 178 undergraduate production engineering students from a large university in Brazil from various institution units. Main findings: These results show that students perceived the use of resource pooling as an impactful practice. However, the students did not correctly identify the effects of increasing resource utilization and the variability on flow time and queue size when activities are pooled. Implications for theory and practice: The teaching of basic concepts of OM requires the support of computational tools. Undergraduate courses that contemplate subjects in the field of OM should work more intensely on simulation-based learning.
{"title":"Unveiling undergraduate production engineering students' comprehension of process flow measures","authors":"Noel Torres Júnior, A. Azevedo, A. Simões, M. Ladeira, P. R. Sousa, Lauro Soares de Freitas","doi":"10.1590/0103-6513.20220020","DOIUrl":"https://doi.org/10.1590/0103-6513.20220020","url":null,"abstract":"Paper aims: This study analyzes the comprehension of production engineering students about the influence of some key variables on the process performance measures in a service process. Originality: This paper points out the need for educators to re-evaluate their approaches to teaching the Operations Management (OM) principles related to process flow measures. Research method: This study used scenario-based role-playing experiments with 2×2×2 between-subject factorial design with three independent variables (variability of activities, capacity utilization, and resource pooling) and four dependent variables related to key internal process performance measures (Flow Time, Overall Quality of service, Quality of service employees, and Queue Size). The sample was composed of 178 undergraduate production engineering students from a large university in Brazil from various institution units. Main findings: These results show that students perceived the use of resource pooling as an impactful practice. However, the students did not correctly identify the effects of increasing resource utilization and the variability on flow time and queue size when activities are pooled. Implications for theory and practice: The teaching of basic concepts of OM requires the support of computational tools. Undergraduate courses that contemplate subjects in the field of OM should work more intensely on simulation-based learning.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578040","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 : 2022-01-01DOI: 10.1590/0103-6513.20210035
André Venâncio, E. Loures, F. Deschamps, Alvaro dos Santos Justus, Alysson Felipe Lumikoski, Guilherme Louro Brezinski
{"title":"Technology prioritization framework to adapt maintenance legacy systems for Industry 4.0 requirement: an interoperability approach","authors":"André Venâncio, E. Loures, F. Deschamps, Alvaro dos Santos Justus, Alysson Felipe Lumikoski, Guilherme Louro Brezinski","doi":"10.1590/0103-6513.20210035","DOIUrl":"https://doi.org/10.1590/0103-6513.20210035","url":null,"abstract":"","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67576588","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 : 2022-01-01DOI: 10.1590/0103-6513.20220064
Natália Maria Puggina Bianchesi, C. E. Matta, Simone Carneiro Streitenberger, Estevão Luiz Romão, P. Balestrassi, Antônio Fernando Branco Costa
Paper aims: This paper presents a nonlinear time series prediction methodology using Neural Networks and Tracking Signals method to detect bias and their responsiveness to non-random changes in the time series. Originality: This study contributes with an innovative approach of nonlinear time series prediction methodology. Furthermore, the Design of Experiments was applied to simulate datasets and to analyze the results of Average Run Length, identifying in which conditions the methodology is efficient. Research method: Datasets were generated to simulate different nonlinear time series by changing the error of the series. The methodology was applied to the datasets and the Design of Experiments was implemented to evaluate the results. Lastly, a case study based on total oil and grease was performed. Main findings: The results showed that the proposed prediction methodology is an effective way to detect bias in the process when an error is introduced in the nonlinear time series because the mean and the standard deviation of the error have a significant impact on the Average Run Length.
{"title":"A nonlinear time-series prediction methodology based on neural networks and tracking signals","authors":"Natália Maria Puggina Bianchesi, C. E. Matta, Simone Carneiro Streitenberger, Estevão Luiz Romão, P. Balestrassi, Antônio Fernando Branco Costa","doi":"10.1590/0103-6513.20220064","DOIUrl":"https://doi.org/10.1590/0103-6513.20220064","url":null,"abstract":"Paper aims: This paper presents a nonlinear time series prediction methodology using Neural Networks and Tracking Signals method to detect bias and their responsiveness to non-random changes in the time series. Originality: This study contributes with an innovative approach of nonlinear time series prediction methodology. Furthermore, the Design of Experiments was applied to simulate datasets and to analyze the results of Average Run Length, identifying in which conditions the methodology is efficient. Research method: Datasets were generated to simulate different nonlinear time series by changing the error of the series. The methodology was applied to the datasets and the Design of Experiments was implemented to evaluate the results. Lastly, a case study based on total oil and grease was performed. Main findings: The results showed that the proposed prediction methodology is an effective way to detect bias in the process when an error is introduced in the nonlinear time series because the mean and the standard deviation of the error have a significant impact on the Average Run Length.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578406","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 : 2022-01-01DOI: 10.1590/0103-6513.20210105
K. B. Marsola, Andrea Leda Ramos de Oliveira, B. Neto
Paper aims: To define and evaluate the environmental performance of the implementation of reverse logistics (RL) for empty pesticide plastic containers (EPPC) in Brazil through the Campo Limpo System (CLS). Originality: Discussion about the implementation of RL for the development of sustainable systems, through the identification of environmental impacts associated with RL of EPPC by means of Life Cycle Assessment (LCA). Research method: CLS is described and used to quantify the potential environmental impacts of the RL chain of EPPC waste management by using the LCA methodology. The analysis comprehends the situations prior and post implementation of the CLS, it takes into account container manufacturing, transportation and end-of-life. Main findings: Implementation of the CLS resulted in a reduction in nine assessed environmental impacts categories, ranging from a reduction of 79% to 26% in potential impacts. The stage leading to the largest contribution to environmental impacts is the manufacturing of EPPC. For end-of-life options, recycling proved to be the best option to lower environmental impacts. Implications for theory and practice: Results show that the public policy was environmentally effective given that current activities in EPPC management led to lower environmental impacts enabling the development of a sustainable supply chain.
{"title":"Life Cycle Assessment of reverse logistics of empty pesticide containers in Brazil: assessment of current and previous management practices","authors":"K. B. Marsola, Andrea Leda Ramos de Oliveira, B. Neto","doi":"10.1590/0103-6513.20210105","DOIUrl":"https://doi.org/10.1590/0103-6513.20210105","url":null,"abstract":"Paper aims: To define and evaluate the environmental performance of the implementation of reverse logistics (RL) for empty pesticide plastic containers (EPPC) in Brazil through the Campo Limpo System (CLS). Originality: Discussion about the implementation of RL for the development of sustainable systems, through the identification of environmental impacts associated with RL of EPPC by means of Life Cycle Assessment (LCA). Research method: CLS is described and used to quantify the potential environmental impacts of the RL chain of EPPC waste management by using the LCA methodology. The analysis comprehends the situations prior and post implementation of the CLS, it takes into account container manufacturing, transportation and end-of-life. Main findings: Implementation of the CLS resulted in a reduction in nine assessed environmental impacts categories, ranging from a reduction of 79% to 26% in potential impacts. The stage leading to the largest contribution to environmental impacts is the manufacturing of EPPC. For end-of-life options, recycling proved to be the best option to lower environmental impacts. Implications for theory and practice: Results show that the public policy was environmentally effective given that current activities in EPPC management led to lower environmental impacts enabling the development of a sustainable supply chain.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67577397","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 : 2022-01-01DOI: 10.1590/0103-6513.20210106
A. Escudeiro, Estevão Escudeiro, Leandro de Oliveira Silva, R. Bandeira, Leonardo Pinho Souza, A. Leiras, Raphael Tavares Oliveira
Paper aims: This paper analyzes Command and Control (C2) Systems and identifies the level of knowledge on the subject by actors involved in disaster response operations in Brazil, besides assessing the evolution in this area since the disaster of the Serrana Region of Rio de Janeiro in 2011. Originality: The concept of C2 is still little explored academically, especially in disaster management systems. This study contributes to the understanding of the dynamics of different C2 Systems operated in Brazil, as well as identifying the level of knowledge on the subject and its evolution since 2011. Research method: This is an exploratory survey in which data was analyzed using descriptive statistics techniques. Main findings: We conclude that the actors involved in real disaster situations have little formal training in C2. The findings indicate that the performance of a simulated exercise helps in disaster preparedness, but the participants observed deficiencies concerning C2 training besides the lack of local community involvement in the simulated exercise. Implications for theory and practice: This study contributes to the disaster management literature, showing empirical evidence that the results obtained in a simulated exercise can boost the specialization of professionals in C2 systems in the area of disasters.
{"title":"Command and control system management: a perspective of disaster response actors in Brazil","authors":"A. Escudeiro, Estevão Escudeiro, Leandro de Oliveira Silva, R. Bandeira, Leonardo Pinho Souza, A. Leiras, Raphael Tavares Oliveira","doi":"10.1590/0103-6513.20210106","DOIUrl":"https://doi.org/10.1590/0103-6513.20210106","url":null,"abstract":"Paper aims: This paper analyzes Command and Control (C2) Systems and identifies the level of knowledge on the subject by actors involved in disaster response operations in Brazil, besides assessing the evolution in this area since the disaster of the Serrana Region of Rio de Janeiro in 2011. Originality: The concept of C2 is still little explored academically, especially in disaster management systems. This study contributes to the understanding of the dynamics of different C2 Systems operated in Brazil, as well as identifying the level of knowledge on the subject and its evolution since 2011. Research method: This is an exploratory survey in which data was analyzed using descriptive statistics techniques. Main findings: We conclude that the actors involved in real disaster situations have little formal training in C2. The findings indicate that the performance of a simulated exercise helps in disaster preparedness, but the participants observed deficiencies concerning C2 training besides the lack of local community involvement in the simulated exercise. Implications for theory and practice: This study contributes to the disaster management literature, showing empirical evidence that the results obtained in a simulated exercise can boost the specialization of professionals in C2 systems in the area of disasters.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67577576","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 : 2022-01-01DOI: 10.1590/0103-6513.20220055
Valter Silva Ferreira Filho, M. Delamaro, F. Marins, Henrique Martins Rocha
Paper aims: This paper aims to create propositions that would be a guide the future construction of an industrial policy capable of rebuilding the Brazilian automotive industry (IAB) through the creation of demand by scrappage policy. Originality: This paper is based on more than 470 IAB representatives’ answers, C-Level/Senior Executives, converting experience and empiric perspectives in scientific knowledge. Research method: Hypothetical-Deductive research were conducted applying survey as procedure and Delphi Method as technique, using electronic tools to collect data, combining quantitative and qualitative approaches in statistical data analysis. Main findings: Were identified a consensus among IAB representatives and literature evidences about scrappage policy as an engine regarding sustenance of automotive industry and the need for rules that guide national competitiveness key factors. Implications for theory and practice: The paper theoretical and practice implications are provide subsidies to future sectorial policies based on empirical experience of more than 470 IAB representatives.
{"title":"The government as an inducer of the automotive industry: propositions for Brazilian automotive sector","authors":"Valter Silva Ferreira Filho, M. Delamaro, F. Marins, Henrique Martins Rocha","doi":"10.1590/0103-6513.20220055","DOIUrl":"https://doi.org/10.1590/0103-6513.20220055","url":null,"abstract":"Paper aims: This paper aims to create propositions that would be a guide the future construction of an industrial policy capable of rebuilding the Brazilian automotive industry (IAB) through the creation of demand by scrappage policy. Originality: This paper is based on more than 470 IAB representatives’ answers, C-Level/Senior Executives, converting experience and empiric perspectives in scientific knowledge. Research method: Hypothetical-Deductive research were conducted applying survey as procedure and Delphi Method as technique, using electronic tools to collect data, combining quantitative and qualitative approaches in statistical data analysis. Main findings: Were identified a consensus among IAB representatives and literature evidences about scrappage policy as an engine regarding sustenance of automotive industry and the need for rules that guide national competitiveness key factors. Implications for theory and practice: The paper theoretical and practice implications are provide subsidies to future sectorial policies based on empirical experience of more than 470 IAB representatives.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578313","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 : 2022-01-01DOI: 10.1590/0103-6513.20210091
Natalia Cordoba, A. Montoya
Paper aims: This paper studies a new Cross-Docking (CD) scheduling problem inspired by the trend of resource mutualization at CD operations where a company owning a CD platform can lease its docks to other companies.
{"title":"Scheduling of the inbound and outbound trucks at a Cross-Docking platform considering mutualization of docks","authors":"Natalia Cordoba, A. Montoya","doi":"10.1590/0103-6513.20210091","DOIUrl":"https://doi.org/10.1590/0103-6513.20210091","url":null,"abstract":"Paper aims: This paper studies a new Cross-Docking (CD) scheduling problem inspired by the trend of resource mutualization at CD operations where a company owning a CD platform can lease its docks to other companies.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67576979","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 : 2022-01-01DOI: 10.1590/0103-6513.20220011
M. Becerra-Fernández, Liliana Elizabeth Ruiz-Acosta, David Andres Camargo-Mayorga, Mario Andrés Muñoz
Paper aims: This paper presents a manufacturing process model for assessing the effects on economic, social, and environmental targets, given variations on corporate strategies of production, innovation, marketing, and demand for final goods. Originality: The model integrates economic, social, and environmental dimensions that are validated through three main scenarios: Business as Usual (no strategic application), Business as Investment (strategic application), and Business as Vision (changes in demand). Research method: The model estimates the social, environmental, and economic performance through time based on the System Dynamics methodology. Main findings: The results demonstrate the model’s suitability as a decision-support tool for sustainability planning in a corporate environment. Implications for theory and practice: The model facilitates the analysis of the effects of resource allocation on corporate strategy.
{"title":"A system dynamics model for sustainable corporate strategic planning","authors":"M. Becerra-Fernández, Liliana Elizabeth Ruiz-Acosta, David Andres Camargo-Mayorga, Mario Andrés Muñoz","doi":"10.1590/0103-6513.20220011","DOIUrl":"https://doi.org/10.1590/0103-6513.20220011","url":null,"abstract":"Paper aims: This paper presents a manufacturing process model for assessing the effects on economic, social, and environmental targets, given variations on corporate strategies of production, innovation, marketing, and demand for final goods. Originality: The model integrates economic, social, and environmental dimensions that are validated through three main scenarios: Business as Usual (no strategic application), Business as Investment (strategic application), and Business as Vision (changes in demand). Research method: The model estimates the social, environmental, and economic performance through time based on the System Dynamics methodology. Main findings: The results demonstrate the model’s suitability as a decision-support tool for sustainability planning in a corporate environment. Implications for theory and practice: The model facilitates the analysis of the effects of resource allocation on corporate strategy.","PeriodicalId":34960,"journal":{"name":"Production","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67577885","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：