Pub Date : 2023-06-30DOI: 10.1590/0103-6513.20220034
Fabíola Negreiros de Oliveira, Daniela Eckhardt, A. Leiras, Paulo Gonçalves, Irineu de Brito Junior, H. Yoshizaki, F. Pedroso
,
{"title":"Toward the development of a Preparedness and Response Protocol for epidemics and pandemics","authors":"Fabíola Negreiros de Oliveira, Daniela Eckhardt, A. Leiras, Paulo Gonçalves, Irineu de Brito Junior, H. Yoshizaki, F. Pedroso","doi":"10.1590/0103-6513.20220034","DOIUrl":"https://doi.org/10.1590/0103-6513.20220034","url":null,"abstract":",","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578258","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 : 2023-06-30DOI: 10.1590/0103-6513.20220107
Pedro P. Senna, A. Reis, J. Guimarães, Luís Marujo, Ana Carla de Souza Gomes dos Santos, E. Severo
Paper aims: This study has the objective of mapping and empirically validating KPIs that can be used to assess healthcare supply chain risks. Originality: We combined two methodological approaches: i) we conducted a systematic literature review to identify the healthcare supply chain risk assessment KPIs and ii) We grouped these KPIs into five constructs and validated their relations using PLS-SEM. Research method: This is the only study that presents a systematic literature review to identify KPIs that measure healthcare supply chain risks, groups the KPIs into a theoretical framework, and presents a PLS-SEM validation. This study used data from Brazil, from a variety of healthcare supply chain organizations (suppliers, OEMs, clinics, and hospitals), therefore we cannot guarantee that the study can be generalized. Main findings: The systematic literature review identified 27 KPIs which were grouped into five constructs. The structural model supported by the PLS-SEM technique revealed that reliability, responsiveness, costs, and agility are antecedents to healthcare supply chain quality. Implications for theory and practice: Managers may rely upon this study to understand that healthcare supply chain reliability and responsiveness are antecedents to healthcare supply chain costs and agility, which are antecedents to healthcare supply chain quality.
{"title":"Healthcare supply chain risk assessment KPIs: an empirical study using PLS-SEM","authors":"Pedro P. Senna, A. Reis, J. Guimarães, Luís Marujo, Ana Carla de Souza Gomes dos Santos, E. Severo","doi":"10.1590/0103-6513.20220107","DOIUrl":"https://doi.org/10.1590/0103-6513.20220107","url":null,"abstract":"Paper aims: This study has the objective of mapping and empirically validating KPIs that can be used to assess healthcare supply chain risks. Originality: We combined two methodological approaches: i) we conducted a systematic literature review to identify the healthcare supply chain risk assessment KPIs and ii) We grouped these KPIs into five constructs and validated their relations using PLS-SEM. Research method: This is the only study that presents a systematic literature review to identify KPIs that measure healthcare supply chain risks, groups the KPIs into a theoretical framework, and presents a PLS-SEM validation. This study used data from Brazil, from a variety of healthcare supply chain organizations (suppliers, OEMs, clinics, and hospitals), therefore we cannot guarantee that the study can be generalized. Main findings: The systematic literature review identified 27 KPIs which were grouped into five constructs. The structural model supported by the PLS-SEM technique revealed that reliability, responsiveness, costs, and agility are antecedents to healthcare supply chain quality. Implications for theory and practice: Managers may rely upon this study to understand that healthcare supply chain reliability and responsiveness are antecedents to healthcare supply chain costs and agility, which are antecedents to healthcare supply chain quality.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67579694","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 : 2023-06-09DOI: 10.1590/0103-6513.20220046
A. Flecha, R. Bandeira, V. E. Campos, A. V. C. Silva, A. Leiras
Paper aims: This paper aims the use of Social Network Analysis (SNA) as an assessment tool to answer the following research questions: (i) Who are the actors in Humanitarian Operations Networks (HON)?; and (ii) Which actors exert influence on HON? Originality: This paper proposes the use of SNA in a different context, bringing new technics to the field of humanitarian logistics. Research method: Multiple methodological tools are used such as UCINET, Cytoscape, and EXCEL® to apply SNA in the Brazilian context of sudden-onset natural disaster-response operations. Main findings: This application validates the consistency of using SNA to assess HON, besides validating the stakeholder relationship model of the Public, Private, and People sectors in disaster-response operations. Implications for theory and practice: Results show strong participation of the public sector in disaster-response operations in Brazil, indicating the need for greater engagement from civil society. Besides, the proposed method can be adopted in the context of any other country.
{"title":"Social Network Analysis in disaster management","authors":"A. Flecha, R. Bandeira, V. E. Campos, A. V. C. Silva, A. Leiras","doi":"10.1590/0103-6513.20220046","DOIUrl":"https://doi.org/10.1590/0103-6513.20220046","url":null,"abstract":"Paper aims: This paper aims the use of Social Network Analysis (SNA) as an assessment tool to answer the following research questions: (i) Who are the actors in Humanitarian Operations Networks (HON)?; and (ii) Which actors exert influence on HON? Originality: This paper proposes the use of SNA in a different context, bringing new technics to the field of humanitarian logistics. Research method: Multiple methodological tools are used such as UCINET, Cytoscape, and EXCEL® to apply SNA in the Brazilian context of sudden-onset natural disaster-response operations. Main findings: This application validates the consistency of using SNA to assess HON, besides validating the stakeholder relationship model of the Public, Private, and People sectors in disaster-response operations. Implications for theory and practice: Results show strong participation of the public sector in disaster-response operations in Brazil, indicating the need for greater engagement from civil society. Besides, the proposed method can be adopted in the context of any other country.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578546","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 : 2023-06-05DOI: 10.1590/0103-6513.20220099
João Paulo Estevam de Souza, Jorge Muniz Júnior
Paper aims: This paper aims to discuss how Remote Collaboration Tools (RCT) can support and contribute to Action Research (AR) applications in operations management research
论文目的:本文旨在讨论远程协作工具(RCT)如何支持和促进行动研究(AR)在运营管理研究中的应用
{"title":"Action research supported by remote collaboration tools: analysis of two operations management applications","authors":"João Paulo Estevam de Souza, Jorge Muniz Júnior","doi":"10.1590/0103-6513.20220099","DOIUrl":"https://doi.org/10.1590/0103-6513.20220099","url":null,"abstract":"Paper aims: This paper aims to discuss how Remote Collaboration Tools (RCT) can support and contribute to Action Research (AR) applications in operations management research","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67579162","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 : 2023-06-02DOI: 10.1590/0103-6513.20220117
Bruno Fernandes Maione, P. C. Kaminski, E. C. Baraldi
Paper aims: This article investigates the worldwide trend of growth in the number of recalls, as well as in the number of products involved in each campaign.
论文目的:本文调查了全球范围内召回数量的增长趋势，以及每次活动中涉及的产品数量。
{"title":"The automotive recall data search and its analysis applying machine learning","authors":"Bruno Fernandes Maione, P. C. Kaminski, E. C. Baraldi","doi":"10.1590/0103-6513.20220117","DOIUrl":"https://doi.org/10.1590/0103-6513.20220117","url":null,"abstract":"Paper aims: This article investigates the worldwide trend of growth in the number of recalls, as well as in the number of products involved in each campaign.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67579462","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 : 2023-06-02DOI: 10.1590/0103-6513.20220090
O. M. Causil, D. Morais
Paper aims: The objective of this research is to propose a multicriteria negotiation model for selecting a sustainable packaging supplier in the food industry. The model aims to minimize the environmental, social and economic impacts of the production process of plastic while ensuring the operational criteria of packaging. Originality: Despite the high number of scientific research using multicriteria decision-making suggested to select a supplier, the proposed negotiation model is innovative as it includes green manufacturing as a criterion for negotiation, alongside price and delivery time, to promote sustainable supply chain management. Research method: The research method involves three stages: pre-negotiation, negotiation (based on FITradeoff), and post-agreement. The proposed model is illustrated using a case study of a Colombian slaughterhouse that needs to select a sustainable packaging supplier for the next two years. Main findings: The main findings indicate that the proposed model that uses the FITradeoff for negotiation solves the problem of selecting sustainable packaging suppliers while promoting sustainable supply chain management in the agribusiness sector. Implications for theory and practice: The model has implications for both theory and practice. It encourages interdependent companies to collaborate and enhances efficiency in greener terms for supply chains, buyer and seller firms. The proposition of an original integrative negotiation protocol for selecting sustainable suppliers in agribusiness can provide enterprises with a set of negotiation parameters to achieve successful sustainable supply chain management.
{"title":"Multicriteria negotiation model for selecting sustainable suppliers’ problem in the agribusiness","authors":"O. M. Causil, D. Morais","doi":"10.1590/0103-6513.20220090","DOIUrl":"https://doi.org/10.1590/0103-6513.20220090","url":null,"abstract":"Paper aims: The objective of this research is to propose a multicriteria negotiation model for selecting a sustainable packaging supplier in the food industry. The model aims to minimize the environmental, social and economic impacts of the production process of plastic while ensuring the operational criteria of packaging. Originality: Despite the high number of scientific research using multicriteria decision-making suggested to select a supplier, the proposed negotiation model is innovative as it includes green manufacturing as a criterion for negotiation, alongside price and delivery time, to promote sustainable supply chain management. Research method: The research method involves three stages: pre-negotiation, negotiation (based on FITradeoff), and post-agreement. The proposed model is illustrated using a case study of a Colombian slaughterhouse that needs to select a sustainable packaging supplier for the next two years. Main findings: The main findings indicate that the proposed model that uses the FITradeoff for negotiation solves the problem of selecting sustainable packaging suppliers while promoting sustainable supply chain management in the agribusiness sector. Implications for theory and practice: The model has implications for both theory and practice. It encourages interdependent companies to collaborate and enhances efficiency in greener terms for supply chains, buyer and seller firms. The proposition of an original integrative negotiation protocol for selecting sustainable suppliers in agribusiness can provide enterprises with a set of negotiation parameters to achieve successful sustainable supply chain management.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67579108","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 : 2023-05-19DOI: 10.1590/0103-6513.20220071
Carlos Jefferson de Melo Santos, Â. Sant’Anna, Joilson Nascimento Paim
Paper aims: This paper analyzes the work quality and productivity of during the COVID-19 pandemic from five Brazilian regions with three work models: face-to-face, virtual and workshiting. Originality: Despite the number of studies on COVID-19 since the pandemic’s beginning, the literature lacks research that demonstrates relationships between productivity and the emergence of problems, illnesses, and adverse situations that compromise worker performance in the routines of these three work models. Research method: The study used an experimental, descriptive, and transversal research design, without identification data Southeast of the participant, as anonymous and exclusive research, with 801 participants from different regions of Brazil (North, Northeast, Midwest, Northeast, and South), with different age groups. The work consisted of work issues focusing on the quality of work pandemic, for issues of analysis of time and productivity problems. The questions were about health issues in 6 parts of the study: mental demographics and increased sleep quality, fear of SARS-CoV-2, exercise, stress, and productivity. Main findings: There was a strong significant relationship between the three work models and five variables: area of activity, work equipment used during quarantine, diseases found during the pandemic, problems reported during quarantine pandemic like sleep, stress, workload performed, and future expectations regarding the work performed and the pandemic. Significant relationships were also found with diseases before the pandemic, those perceived and reported during the pandemic period studied, and the sleep profile before and during. The statistical significance relationship was also strong between the areas of work audience and new diseases during the pandemic. Implications for theory and practice: The research practically validates several other theoretical studies, with guidelines for the scientific community on work behavior for the three work models. The results, together with the relationships found by the statistical analysis of the p-value of the variables, help the public and private authorities to understand and rethink preventive measures in the emergence of new diseases and the optimization of work operations without compromising their quality and productivity.
{"title":"Analysis of the work quality and productivity during the COVID-19 pandemic","authors":"Carlos Jefferson de Melo Santos, Â. Sant’Anna, Joilson Nascimento Paim","doi":"10.1590/0103-6513.20220071","DOIUrl":"https://doi.org/10.1590/0103-6513.20220071","url":null,"abstract":"Paper aims: This paper analyzes the work quality and productivity of during the COVID-19 pandemic from five Brazilian regions with three work models: face-to-face, virtual and workshiting. Originality: Despite the number of studies on COVID-19 since the pandemic’s beginning, the literature lacks research that demonstrates relationships between productivity and the emergence of problems, illnesses, and adverse situations that compromise worker performance in the routines of these three work models. Research method: The study used an experimental, descriptive, and transversal research design, without identification data Southeast of the participant, as anonymous and exclusive research, with 801 participants from different regions of Brazil (North, Northeast, Midwest, Northeast, and South), with different age groups. The work consisted of work issues focusing on the quality of work pandemic, for issues of analysis of time and productivity problems. The questions were about health issues in 6 parts of the study: mental demographics and increased sleep quality, fear of SARS-CoV-2, exercise, stress, and productivity. Main findings: There was a strong significant relationship between the three work models and five variables: area of activity, work equipment used during quarantine, diseases found during the pandemic, problems reported during quarantine pandemic like sleep, stress, workload performed, and future expectations regarding the work performed and the pandemic. Significant relationships were also found with diseases before the pandemic, those perceived and reported during the pandemic period studied, and the sleep profile before and during. The statistical significance relationship was also strong between the areas of work audience and new diseases during the pandemic. Implications for theory and practice: The research practically validates several other theoretical studies, with guidelines for the scientific community on work behavior for the three work models. The results, together with the relationships found by the statistical analysis of the p-value of the variables, help the public and private authorities to understand and rethink preventive measures in the emergence of new diseases and the optimization of work operations without compromising their quality and productivity.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578801","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 : 2023-04-14DOI: 10.1590/0103-6513.20220119
Aziz Barhmi
Paper aims: This study aims to empirically explore the mechanisms by which supply chain capabilities dedicated to risk management, robustness, and resilience contribute to improved agility performance in times of disruptions from unavoidable risks. Originality: This is the first empirical research examining the direct and indirect effects of supply chain capabilities related to risk management, robustness
{"title":"Risk management, robustness and resilience: mechanisms for stabilizing and improving agility performance","authors":"Aziz Barhmi","doi":"10.1590/0103-6513.20220119","DOIUrl":"https://doi.org/10.1590/0103-6513.20220119","url":null,"abstract":"Paper aims: This study aims to empirically explore the mechanisms by which supply chain capabilities dedicated to risk management, robustness, and resilience contribute to improved agility performance in times of disruptions from unavoidable risks. Originality: This is the first empirical research examining the direct and indirect effects of supply chain capabilities related to risk management, robustness","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67579538","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 : 2023-04-14DOI: 10.1590/0103-6513.20220098
André Venâncio, Guilherme Louro Brezinski, Gabriel S. S. Leal, E. Loures, F. Deschamps
Paper aims: The Industry 4.0 movement highlights the importance of information and communication technologies and the two main reasons for this are advances in digitalization and automation. However, organizations trying to implement technologies face several barriers in their systems. These barriers are intensified in legacy systems, tightly coupled to organizational processes. Thus, to overcome these barriers, an adequacy strategy was structured, and detailed in the context of interoperability. Originality: This article proposes a digital transformation framework focused on interoperability in maintenance systems. Research method: Aiming to make legacy systems work together with cyber-physical systems, the proposed framework suggests its suitability based on strategic decisions, using Multicriteria Decision Making (MCDM) methods. Main findings : The framework outputs demonstrate that people are the main drivers of digital transformation and that the strategies proposed by it are coherent with the actual development of both cases, proven in a new interview one year apart from its application. Implications for theory and practice: Real industrial cases demonstrate that the framework can guarantee interoperability while facilitating strategic decisions to implement technologies in legacy maintenance systems. In the end, the legacy system, which will interoperate with the new technologies, is called Smart Legacy System.
{"title":"Digital transformation in maintenance: interoperability-based adequacy aiming smart legacy systems","authors":"André Venâncio, Guilherme Louro Brezinski, Gabriel S. S. Leal, E. Loures, F. Deschamps","doi":"10.1590/0103-6513.20220098","DOIUrl":"https://doi.org/10.1590/0103-6513.20220098","url":null,"abstract":"Paper aims: The Industry 4.0 movement highlights the importance of information and communication technologies and the two main reasons for this are advances in digitalization and automation. However, organizations trying to implement technologies face several barriers in their systems. These barriers are intensified in legacy systems, tightly coupled to organizational processes. Thus, to overcome these barriers, an adequacy strategy was structured, and detailed in the context of interoperability. Originality: This article proposes a digital transformation framework focused on interoperability in maintenance systems. Research method: Aiming to make legacy systems work together with cyber-physical systems, the proposed framework suggests its suitability based on strategic decisions, using Multicriteria Decision Making (MCDM) methods. Main findings : The framework outputs demonstrate that people are the main drivers of digital transformation and that the strategies proposed by it are coherent with the actual development of both cases, proven in a new interview one year apart from its application. Implications for theory and practice: Real industrial cases demonstrate that the framework can guarantee interoperability while facilitating strategic decisions to implement technologies in legacy maintenance systems. In the end, the legacy system, which will interoperate with the new technologies, is called Smart Legacy System.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67579119","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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