Pub Date : 2023-03-27DOI: 10.1590/0103-6513.20220074
Jorge Muniz Júnior, Giovanni Pessin Moschetto, Daniel Wintersberger
Paper aims: This paper aims to discuss Industry 4.0 (I4.0) impacts on the Brazilian Modular Consortium (BMC) assembly lines related to work – issues correlated with human resources; production – physical resources used in production process; knowledge – associated with creation and sharing of knowledge. Originality: Findings explore I4.0 research opportunities related to work and human factors on assembly lines. In lieu of gaps in literature, this research further discusses management challenges to support digital transformation and impacts on workers and organizations. Research method: A case study on Engine Value Chain (EVC) of BMC, which includes MWM, engine manufacturer; Powertrain, engine assembler at BMC; Volkswagen Truck & Bus, BMC responsible. Semi-structured interviews were conducted with four senior managers responsible for I4.0 implementation. Responses were treated via content analysis. Main findings: The interviewees highlight work and human factors as important for I4.0 implementation, which include workers tasks, skills, nature of work, human resource development, hiring process and organizations strategies. It was also found that knowledge sharing poses a huge challenge. Implications for theory and practice: The findings contribute with academic interest on work, production and knowledge impacts on assembly lines, and with practitioners on issues related to I4.0 implementation.
{"title":"Industry 4.0 at Brazilian modular consortium: work, process and knowledge in engine supply chain","authors":"Jorge Muniz Júnior, Giovanni Pessin Moschetto, Daniel Wintersberger","doi":"10.1590/0103-6513.20220074","DOIUrl":"https://doi.org/10.1590/0103-6513.20220074","url":null,"abstract":"Paper aims: This paper aims to discuss Industry 4.0 (I4.0) impacts on the Brazilian Modular Consortium (BMC) assembly lines related to work – issues correlated with human resources; production – physical resources used in production process; knowledge – associated with creation and sharing of knowledge. Originality: Findings explore I4.0 research opportunities related to work and human factors on assembly lines. In lieu of gaps in literature, this research further discusses management challenges to support digital transformation and impacts on workers and organizations. Research method: A case study on Engine Value Chain (EVC) of BMC, which includes MWM, engine manufacturer; Powertrain, engine assembler at BMC; Volkswagen Truck & Bus, BMC responsible. Semi-structured interviews were conducted with four senior managers responsible for I4.0 implementation. Responses were treated via content analysis. Main findings: The interviewees highlight work and human factors as important for I4.0 implementation, which include workers tasks, skills, nature of work, human resource development, hiring process and organizations strategies. It was also found that knowledge sharing poses a huge challenge. Implications for theory and practice: The findings contribute with academic interest on work, production and knowledge impacts on assembly lines, and with practitioners on issues related to I4.0 implementation.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578913","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 : 2023-03-20DOI: 10.1590/0103-6513.20220081
Natália Ransolin, Priscila Wachs, W. P. Bueno
Paper aims: This study demonstrates the complexity of the patient flow from admission to discharge of an adult Intensive Care Unit (ICU) through the application of the Functional Resonance Analysis Method (FRAM). Originality: This paper shows the daily functioning of the patient flow, shedding light on the high levels of interdependence and variabilities in Complex Sociotechnical Systems. Research method: The research was developed according to the four steps for FRAM analysis. Sources of evidence involved empirical data collection in a leading teaching public hospital in Brazil. Main findings: There were identified 34 functions performed mainly by caregivers and support staff. Five instantiations were described to illustrate the functional resonance scenarios caused by the variability propagation across the functions. Implications for theory and practice: Limitations of this study and suggestions for future research are pointed out. The resulting model is a basis for context understanding for ongoing and following studies.
{"title":"A functional perspective for Intensive Care Unit modelling","authors":"Natália Ransolin, Priscila Wachs, W. P. Bueno","doi":"10.1590/0103-6513.20220081","DOIUrl":"https://doi.org/10.1590/0103-6513.20220081","url":null,"abstract":"Paper aims: This study demonstrates the complexity of the patient flow from admission to discharge of an adult Intensive Care Unit (ICU) through the application of the Functional Resonance Analysis Method (FRAM). Originality: This paper shows the daily functioning of the patient flow, shedding light on the high levels of interdependence and variabilities in Complex Sociotechnical Systems. Research method: The research was developed according to the four steps for FRAM analysis. Sources of evidence involved empirical data collection in a leading teaching public hospital in Brazil. Main findings: There were identified 34 functions performed mainly by caregivers and support staff. Five instantiations were described to illustrate the functional resonance scenarios caused by the variability propagation across the functions. Implications for theory and practice: Limitations of this study and suggestions for future research are pointed out. The resulting model is a basis for context understanding for ongoing and following studies.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578794","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 : 2023-02-27DOI: 10.1590/0103-6513.20220076
Luciana Stradioto, E. Frazzon
Paper aims: This paper aims to evaluate the digitalization scenario of Brazilian industry, as well as to propose a practical approach to its digital transformation. Originality: No comparison is available that aims to understand the differences and gaps between theoretical research and the reality of digital transformation in Brazilian industries. Research method: Based on three steps, namely: review and bibliographic analysis to identify the main aspects of digital transformation; content analysis of national reports to define the state of practice; comparison between the results of theory and practice. Main findings: The results demonstrate an alignment between the aspects found in the scientific literature and the reports analyzed. The pillars of digital transformation are widely discussed in industrial reality. However, implementation gaps (and related opportunities) difficult the digital transformation of the Brazilian industry. Implications for theory and practice: This paper introduces a proposition that unites theoretical aspects in a model that may be applied to enable digital transformation in the industry.
{"title":"Digital transformation in Brazilian industry: bridging theory and practice","authors":"Luciana Stradioto, E. Frazzon","doi":"10.1590/0103-6513.20220076","DOIUrl":"https://doi.org/10.1590/0103-6513.20220076","url":null,"abstract":"Paper aims: This paper aims to evaluate the digitalization scenario of Brazilian industry, as well as to propose a practical approach to its digital transformation. Originality: No comparison is available that aims to understand the differences and gaps between theoretical research and the reality of digital transformation in Brazilian industries. Research method: Based on three steps, namely: review and bibliographic analysis to identify the main aspects of digital transformation; content analysis of national reports to define the state of practice; comparison between the results of theory and practice. Main findings: The results demonstrate an alignment between the aspects found in the scientific literature and the reports analyzed. The pillars of digital transformation are widely discussed in industrial reality. However, implementation gaps (and related opportunities) difficult the digital transformation of the Brazilian industry. Implications for theory and practice: This paper introduces a proposition that unites theoretical aspects in a model that may be applied to enable digital transformation in the industry.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67579210","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 : 2023-02-06DOI: 10.1590/0103-6513.20220073
Milena Silva de Oliveira, Carlos Henrique dos Santos, G. Gabriel, F. Leal, J. A. B. Montevechi
Paper aims: To propose a framework to support online simulation studies considering facilitated modeling and concepts of modern industry context, such as agility and flexibility. Originality: Since the frameworks in the literature deal with simulation projects focused on healthcare and face-to-face meetings, the present work innovates by offering an agile and flexible guide for simulation projects in production systems, which also supports online interventions. Research method: Action Research method was used to develop the framework. After its development, the FaMoSim (Facilitated Modeling Simulation) framework was applied in a real case to evaluate its applicability. Main findings: In the application of FaMoSim, we achieved the framework’s objectives: carrying out a faster (up to 3 months) and more flexible online modeling process; creating a simple computer model that does not require a complex data collection structure nor a specialist team; generating a better understanding of the process and assisting the stakeholders in identifying improvements. Implications for theory and practice: Considering some challenges that prevent the expansion of DES studies, the framework assists in expanding DES studies in environments where it is not widely used. The framework supports online interventions, making it an interesting tool that can be used mainly in times of social distancing.
{"title":"FaMoSim: a facilitated discrete event simulation framework to support online studies","authors":"Milena Silva de Oliveira, Carlos Henrique dos Santos, G. Gabriel, F. Leal, J. A. B. Montevechi","doi":"10.1590/0103-6513.20220073","DOIUrl":"https://doi.org/10.1590/0103-6513.20220073","url":null,"abstract":"Paper aims: To propose a framework to support online simulation studies considering facilitated modeling and concepts of modern industry context, such as agility and flexibility. Originality: Since the frameworks in the literature deal with simulation projects focused on healthcare and face-to-face meetings, the present work innovates by offering an agile and flexible guide for simulation projects in production systems, which also supports online interventions. Research method: Action Research method was used to develop the framework. After its development, the FaMoSim (Facilitated Modeling Simulation) framework was applied in a real case to evaluate its applicability. Main findings: In the application of FaMoSim, we achieved the framework’s objectives: carrying out a faster (up to 3 months) and more flexible online modeling process; creating a simple computer model that does not require a complex data collection structure nor a specialist team; generating a better understanding of the process and assisting the stakeholders in identifying improvements. Implications for theory and practice: Considering some challenges that prevent the expansion of DES studies, the framework assists in expanding DES studies in environments where it is not widely used. The framework supports online interventions, making it an interesting tool that can be used mainly in times of social distancing.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578826","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 : 2023-01-30DOI: 10.1590/0103-6513.20220069
Rafael da Silva Fernandes, Tamyres Rodrigues da Rocha, Jaynne Mendes Coelho, D. Andrade
Paper aims: The fi rst aim is methodological, by developing a conceptual model to describe the internal relationship environment (IRE), the critical factors that impact this environment, the characterization of the parties involved, and their relationships. The second is practical and instrumentalizes the model to measure the effect of differences perceived by internal customers. Originality: Distinct works focus on the formulation of management systems, successful implementation, or external and market environmental factors, although there is a lack of studies that relate organizational performance to differences in perceived quality between the parties. Research method: The methodology followed a flow of collection/analysis, of the informational data of the company, sketch of the model and flow of information, exploratory focus group, thematic analysis of content, and confirmatory focus group. Then, the procedure of operationalization of the model. Main findings: The conceptual model and its instrumentalization describe the apparent relationships between the support team and the operations teams, the underlying relationships of the ERI with the company’s management model, and organizational performance. Implications for theory and practice: In practice, the proposed measurement instrument allows evaluation of the effects of differences in the perceived quality of internal customers.
{"title":"Development of a measurement instrument to evaluate integrated management systems and differences in perception: an approach to item response theory and the quality management process","authors":"Rafael da Silva Fernandes, Tamyres Rodrigues da Rocha, Jaynne Mendes Coelho, D. Andrade","doi":"10.1590/0103-6513.20220069","DOIUrl":"https://doi.org/10.1590/0103-6513.20220069","url":null,"abstract":"Paper aims: The fi rst aim is methodological, by developing a conceptual model to describe the internal relationship environment (IRE), the critical factors that impact this environment, the characterization of the parties involved, and their relationships. The second is practical and instrumentalizes the model to measure the effect of differences perceived by internal customers. Originality: Distinct works focus on the formulation of management systems, successful implementation, or external and market environmental factors, although there is a lack of studies that relate organizational performance to differences in perceived quality between the parties. Research method: The methodology followed a flow of collection/analysis, of the informational data of the company, sketch of the model and flow of information, exploratory focus group, thematic analysis of content, and confirmatory focus group. Then, the procedure of operationalization of the model. Main findings: The conceptual model and its instrumentalization describe the apparent relationships between the support team and the operations teams, the underlying relationships of the ERI with the company’s management model, and organizational performance. Implications for theory and practice: In practice, the proposed measurement instrument allows evaluation of the effects of differences in the perceived quality of internal customers.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578560","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 : 2023-01-19DOI: 10.1590/0103-6513.20220005
F. Schmidt, A. Korzenowski, L. S. Goecks, Ismael Becker Gomes, Vanderlei Giovani Benetti
Paper aims: considering that the fourth industrial revolution can be a primary engine for process innovation, this research proposes a 4.0 Production System applicable to the auto parts industry. Originality: the study’s relevance is observed from the assimilation of practical issues with the scienti fi c process for constructing a 4.0 Production System for the sector in question. Research method: this research is structured from a real case study, proposing an artifact from Design Science Research. Main findings: the results obtained provided a competitive advantage to the company, with a reduction of 23% in lead time, 16% in HM/Fuel Tank, 55% in WIP, and 38% in the total distance traveled by operators, in addition to an ROI of 9.22%. Implications for theory and practice: the practical application of the artifact showed that its use is viable; however, to extract the maximum potential, it is suggested to insert it into the company’s culture.
{"title":"A Production System for the auto parts industry with elements of Industry 4.0","authors":"F. Schmidt, A. Korzenowski, L. S. Goecks, Ismael Becker Gomes, Vanderlei Giovani Benetti","doi":"10.1590/0103-6513.20220005","DOIUrl":"https://doi.org/10.1590/0103-6513.20220005","url":null,"abstract":"Paper aims: considering that the fourth industrial revolution can be a primary engine for process innovation, this research proposes a 4.0 Production System applicable to the auto parts industry. Originality: the study’s relevance is observed from the assimilation of practical issues with the scienti fi c process for constructing a 4.0 Production System for the sector in question. Research method: this research is structured from a real case study, proposing an artifact from Design Science Research. Main findings: the results obtained provided a competitive advantage to the company, with a reduction of 23% in lead time, 16% in HM/Fuel Tank, 55% in WIP, and 38% in the total distance traveled by operators, in addition to an ROI of 9.22%. Implications for theory and practice: the practical application of the artifact showed that its use is viable; however, to extract the maximum potential, it is suggested to insert it into the company’s culture.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578019","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 : 2023-01-16DOI: 10.1590/0103-6513.20220083
José Carlos de Toledo, Livia Silveira Almeida, F. Lizarelli
Paper aims: Analyzes the use of process management and safety culture practices in Radiotherapy Services and impacts on quality of patient care and safety. Originality: Radiotherapy processes require controls and must be developed in an environment with safety. However, despite necessary practices, there are few studies that analyze their implementation and impacts. Research method: Was conducted a survey and the data were analyzed using descriptive statistics and SEM-PLS. Main findings: Process management practices and safety culture have been used in response to competitive environment and regulatory guidelines. The study confirmed the positive impact of using safety culture and process management practices. Implications for theory and practice: Managerial support promoting management and improvement practices and safety culture, along use of process maps, feedback in response to incident reports, patient satisfaction surveys and teamwork contributes to the quality of care and safety. These practices can be prioritized to be deployed by managers and in theoretical models.
{"title":"Process management and safety culture in radiotherapy services: impacts on quality patient care and safety","authors":"José Carlos de Toledo, Livia Silveira Almeida, F. Lizarelli","doi":"10.1590/0103-6513.20220083","DOIUrl":"https://doi.org/10.1590/0103-6513.20220083","url":null,"abstract":"Paper aims: Analyzes the use of process management and safety culture practices in Radiotherapy Services and impacts on quality of patient care and safety. Originality: Radiotherapy processes require controls and must be developed in an environment with safety. However, despite necessary practices, there are few studies that analyze their implementation and impacts. Research method: Was conducted a survey and the data were analyzed using descriptive statistics and SEM-PLS. Main findings: Process management practices and safety culture have been used in response to competitive environment and regulatory guidelines. The study confirmed the positive impact of using safety culture and process management practices. Implications for theory and practice: Managerial support promoting management and improvement practices and safety culture, along use of process maps, feedback in response to incident reports, patient satisfaction surveys and teamwork contributes to the quality of care and safety. These practices can be prioritized to be deployed by managers and in theoretical models.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67579046","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 : 2023-01-09DOI: 10.1590/0103-6513.20220053
F. G. Camargo
Paper aims: This paper compares the economic valuation (Intrinsic Cost or IC) of carbon dioxide emissions (carbon price) of the externality taxes (Kyoto Protocol) of the Argentine Production Chain (APC). Originality: The experimental IC index and this novel combination allow incorporating objective (incremental) and subjective (acceptance, hierarchy and uncertainty) evaluation of the APC. This method is extended in this paper (to other operators). Research method: The ICs are applied to attribute graphs in two scenarios (APC and society), that are obtained from the combination of Fuzzy Decision Making (FMD), Analytic Hierarchy Process (AHP) and PSO with the Algebraic (AP), Generic Hamacher (GHP and PHP) and Einstein (EP) products. Main findings : (i) The coherency of the new ICs is demonstrated by mathematical and graphical analysis; (ii) The most demanding operators are the EP and HP. Implications for theory and practice: It contributes to establish mechanisms for regulation of the APC.
{"title":"A hybrid novel method to economically evaluate the carbon dioxide emissions in the productive chain of Argentina","authors":"F. G. Camargo","doi":"10.1590/0103-6513.20220053","DOIUrl":"https://doi.org/10.1590/0103-6513.20220053","url":null,"abstract":"Paper aims: This paper compares the economic valuation (Intrinsic Cost or IC) of carbon dioxide emissions (carbon price) of the externality taxes (Kyoto Protocol) of the Argentine Production Chain (APC). Originality: The experimental IC index and this novel combination allow incorporating objective (incremental) and subjective (acceptance, hierarchy and uncertainty) evaluation of the APC. This method is extended in this paper (to other operators). Research method: The ICs are applied to attribute graphs in two scenarios (APC and society), that are obtained from the combination of Fuzzy Decision Making (FMD), Analytic Hierarchy Process (AHP) and PSO with the Algebraic (AP), Generic Hamacher (GHP and PHP) and Einstein (EP) products. Main findings : (i) The coherency of the new ICs is demonstrated by mathematical and graphical analysis; (ii) The most demanding operators are the EP and HP. Implications for theory and practice: It contributes to establish mechanisms for regulation of the APC.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578619","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 : 2023-01-06DOI: 10.1590/0103-6513.20220025
R. Palazzi, P. Maçaira, Erick Meira, M. Klotzle
Paper aims: To predict monthly corn, soybean, and sugar spot prices in Brazil using hybrid forecasting techniques. Originality: This study combines the Singular Spectrum Analysis with different forecasting methods. Research method: This paper presents a set of hybrid forecasting approaches combining Singular Spectrum Analysis (SSA) with different univariate time series methods, ranging from complex seasonality methods to machine learning and autoregressive models to predict monthly corn, soybean, and sugar spot prices in Brazil. We carry out a range of out-of-sample forecasting experiments and use a comprehensive set of forecast evaluation metrics. We contrast the performance of the proposed approaches with that of a range of benchmark models. Main findings: The results show that the proposed hybrid models present better performances, with the hybrid SSA-neural network approach providing the most competitive results in our sample. Implications for theory and practice: Forecasting agricultural prices is of paramount importance to assist producers, farmers, and the industry in decision-making processes.
{"title":"Forecasting commodity prices in Brazil through hybrid SSA-complex seasonality models","authors":"R. Palazzi, P. Maçaira, Erick Meira, M. Klotzle","doi":"10.1590/0103-6513.20220025","DOIUrl":"https://doi.org/10.1590/0103-6513.20220025","url":null,"abstract":"Paper aims: To predict monthly corn, soybean, and sugar spot prices in Brazil using hybrid forecasting techniques. Originality: This study combines the Singular Spectrum Analysis with different forecasting methods. Research method: This paper presents a set of hybrid forecasting approaches combining Singular Spectrum Analysis (SSA) with different univariate time series methods, ranging from complex seasonality methods to machine learning and autoregressive models to predict monthly corn, soybean, and sugar spot prices in Brazil. We carry out a range of out-of-sample forecasting experiments and use a comprehensive set of forecast evaluation metrics. We contrast the performance of the proposed approaches with that of a range of benchmark models. Main findings: The results show that the proposed hybrid models present better performances, with the hybrid SSA-neural network approach providing the most competitive results in our sample. Implications for theory and practice: Forecasting agricultural prices is of paramount importance to assist producers, farmers, and the industry in decision-making processes.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578515","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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