Pub Date : 2021-08-02DOI: 10.1590/1806-9649-2021v28e5257
R. Moura, T. Carneiro, T. Dias
Abstract: Among the coordination mechanisms present in an organization defined by Mintzberg, there are the mechanisms based on standardization of processes, employee skills and outputs. This study intends to investigate, through an exploratory and quantitative approach, the relationship between standardization-based coordination mechanisms, considered essential for project objectives accomplishment, and project performance. In addition, it is proposed to investigate whether project size, project manager power, technical system complexity and external environment stability affect the relationship between standardization mechanisms and project performance. In order to test the proposed model, the structural equation modeling technique was used in an empirical research with 216 professionals that have already worked on projects. The results showed that work processes standardization has a significant effect on the performance of projects and that their effectiveness is greater in smaller projects, when the project manager has power of action, when the external environment is stable and the technical system is not complex. This study also showed evidence that the proper use of standardization-based coordination mechanisms may have its effects enhanced when contingency factors are considered.
{"title":"Effects of standardization-based coordination mechanisms in project performance","authors":"R. Moura, T. Carneiro, T. Dias","doi":"10.1590/1806-9649-2021v28e5257","DOIUrl":"https://doi.org/10.1590/1806-9649-2021v28e5257","url":null,"abstract":"Abstract: Among the coordination mechanisms present in an organization defined by Mintzberg, there are the mechanisms based on standardization of processes, employee skills and outputs. This study intends to investigate, through an exploratory and quantitative approach, the relationship between standardization-based coordination mechanisms, considered essential for project objectives accomplishment, and project performance. In addition, it is proposed to investigate whether project size, project manager power, technical system complexity and external environment stability affect the relationship between standardization mechanisms and project performance. In order to test the proposed model, the structural equation modeling technique was used in an empirical research with 216 professionals that have already worked on projects. The results showed that work processes standardization has a significant effect on the performance of projects and that their effectiveness is greater in smaller projects, when the project manager has power of action, when the external environment is stable and the technical system is not complex. This study also showed evidence that the proper use of standardization-based coordination mechanisms may have its effects enhanced when contingency factors are considered.","PeriodicalId":35415,"journal":{"name":"Gestao e Producao","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67159892","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 : 2021-08-02DOI: 10.1590/1806-9649-2021v28e5450
Antonio Ricardo Lunardi, Francisco Rodrigues Lima Junior
Abstract: The supply chain performance evaluation is a critical activity to continuously improve operations. Literature presents several performance evaluation systems based on multi-criteria methods and artificial intelligence. Among them, the systems based on artificial neural networks (ANN) excel due to their capacity of modeling non-linear relationships between metrics and allowing adaptations to a specific environment by means of historical performance data. These systems’ accuracy depend directly on the adopted training algorithm, and no studies have been found that assess the efficiency of these algorithms when applied to supply chain performance evaluation. In this context, the present study evaluates four ANNs learning methods in order to investigate which one is the most adequate to deal with supply chain evaluation. The algorithms tested were Gradient Descendent Momentum, Levenberg-Marquardt, Quasi-Newton and Scale Conjugate Gradient. The performance metrics were extracted from SCOR®, which is a reference model used worldwide. The random sub-sampling cross-validation method was adopted to find the most adequate topological configuration for each model. A set of 80 topologies was implemented using MATLAB®. The prediction accuracy evaluation was based on the mean square error. For the four level 1 metrics considered, the Levenberg-Marquardt algorithm provided the most precise results. The results of correlation analysis and hypothesis tests reinforce the accuracy of the proposed models. Furthermore, the proposed computational models reached a prediction accuracy higher than previous approaches.
{"title":"Comparison of artificial neural networks learning methods to evaluate supply chain performance","authors":"Antonio Ricardo Lunardi, Francisco Rodrigues Lima Junior","doi":"10.1590/1806-9649-2021v28e5450","DOIUrl":"https://doi.org/10.1590/1806-9649-2021v28e5450","url":null,"abstract":"Abstract: The supply chain performance evaluation is a critical activity to continuously improve operations. Literature presents several performance evaluation systems based on multi-criteria methods and artificial intelligence. Among them, the systems based on artificial neural networks (ANN) excel due to their capacity of modeling non-linear relationships between metrics and allowing adaptations to a specific environment by means of historical performance data. These systems’ accuracy depend directly on the adopted training algorithm, and no studies have been found that assess the efficiency of these algorithms when applied to supply chain performance evaluation. In this context, the present study evaluates four ANNs learning methods in order to investigate which one is the most adequate to deal with supply chain evaluation. The algorithms tested were Gradient Descendent Momentum, Levenberg-Marquardt, Quasi-Newton and Scale Conjugate Gradient. The performance metrics were extracted from SCOR®, which is a reference model used worldwide. The random sub-sampling cross-validation method was adopted to find the most adequate topological configuration for each model. A set of 80 topologies was implemented using MATLAB®. The prediction accuracy evaluation was based on the mean square error. For the four level 1 metrics considered, the Levenberg-Marquardt algorithm provided the most precise results. The results of correlation analysis and hypothesis tests reinforce the accuracy of the proposed models. Furthermore, the proposed computational models reached a prediction accuracy higher than previous approaches.","PeriodicalId":35415,"journal":{"name":"Gestao e Producao","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49137513","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 : 2021-08-02DOI: 10.1590/1806-9649-2021v28e5669
Olívia Carolina de Resende Ribeiro, P. S. Steiner Neto
Abstract: The objective of this work was to present the analysis instruments of Green Innovation that seek to relate it to Sustainable Competitive Advantage. Determining the research instruments through which we can analyze the relations between Organizational Capacity, Green Innovation, and Performance can enlighten us in what contributes with the levels of competitiveness of a specific industry, i.e., the sustainable competitive advantage. To do this, we focused on articles indexed in Thomson Reuters, ´Web of Science databank. We analyzed the articles have been most cited and which had presented scales for the analysis and understanding of Green Innovation instruments. We explored three of the most cited articles. These works address innovation from the perspective of Green Innovation and seek to analyze the superior performance of environmental innovations through specific scales. The studies in question adopt quantitative research approaches and operationalized through surveys. According to our analysis, the instruments can represent significant advances concerning the problem addressed in this study.
摘要:本研究的目的是提出绿色创新的分析工具，试图将其与可持续竞争优势联系起来。通过确定研究工具，我们可以分析组织能力、绿色创新和绩效之间的关系，可以启发我们对特定行业竞争力水平的贡献，即可持续竞争优势。为了做到这一点，我们专注于在汤森路透，Web of Science数据库中索引的文章。我们分析了被引用次数最多的文章，这些文章为分析和理解绿色创新工具提供了尺度。我们研究了三篇被引用最多的文章。这些作品从绿色创新的角度来探讨创新，并试图通过特定的尺度来分析环境创新的卓越绩效。有关研究采用定量研究方法，并通过调查加以实施。根据我们的分析，这些工具可以代表本研究中解决的问题的重大进展。
{"title":"Sustainable competitive advantage and green innovation: a review of joint scale propositions","authors":"Olívia Carolina de Resende Ribeiro, P. S. Steiner Neto","doi":"10.1590/1806-9649-2021v28e5669","DOIUrl":"https://doi.org/10.1590/1806-9649-2021v28e5669","url":null,"abstract":"Abstract: The objective of this work was to present the analysis instruments of Green Innovation that seek to relate it to Sustainable Competitive Advantage. Determining the research instruments through which we can analyze the relations between Organizational Capacity, Green Innovation, and Performance can enlighten us in what contributes with the levels of competitiveness of a specific industry, i.e., the sustainable competitive advantage. To do this, we focused on articles indexed in Thomson Reuters, ´Web of Science databank. We analyzed the articles have been most cited and which had presented scales for the analysis and understanding of Green Innovation instruments. We explored three of the most cited articles. These works address innovation from the perspective of Green Innovation and seek to analyze the superior performance of environmental innovations through specific scales. The studies in question adopt quantitative research approaches and operationalized through surveys. According to our analysis, the instruments can represent significant advances concerning the problem addressed in this study.","PeriodicalId":35415,"journal":{"name":"Gestao e Producao","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67160669","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 : 2021-07-12DOI: 10.1590/1806-9649-2021v28e062
B. Simões, E. Epprecht
Abstract: In a multiple stream process (MSP) a product is manufactured in a number of streams in parallel. The traditional tool for monitoring MSPs, the group control chart (GCC), does not take into account that typically the value of the quality variable in each stream is the sum of a component common to all streams and an individual component, of the particular stream. This may render the GCC ineffective in detecting shifts in the mean of individual streams. Based on this two-components model, we propose an exponentially weighted moving average (EWMA) GCC to monitor the means of the individual streams components. We optimize its design (minimizing the ARL for given shifts in the mean of a stream) and compare their ARLs with the ones of other existing charts devised for two-components MSPs. For this comparison, we needed to obtain optimal designs of these previous charts too, which were not available in the literature; this is an additional contribution of our work. The ARLs of the charts were obtained by simulation, with a number of runs sufficiently large to ensure precise results. The results show that the proposed chart outperforms the previous ones, becoming thus recommended for the statistical control of MSPs.
{"title":"An EWMA control chart for the mean of individual streams in multiple stream processes","authors":"B. Simões, E. Epprecht","doi":"10.1590/1806-9649-2021v28e062","DOIUrl":"https://doi.org/10.1590/1806-9649-2021v28e062","url":null,"abstract":"Abstract: In a multiple stream process (MSP) a product is manufactured in a number of streams in parallel. The traditional tool for monitoring MSPs, the group control chart (GCC), does not take into account that typically the value of the quality variable in each stream is the sum of a component common to all streams and an individual component, of the particular stream. This may render the GCC ineffective in detecting shifts in the mean of individual streams. Based on this two-components model, we propose an exponentially weighted moving average (EWMA) GCC to monitor the means of the individual streams components. We optimize its design (minimizing the ARL for given shifts in the mean of a stream) and compare their ARLs with the ones of other existing charts devised for two-components MSPs. For this comparison, we needed to obtain optimal designs of these previous charts too, which were not available in the literature; this is an additional contribution of our work. The ARLs of the charts were obtained by simulation, with a number of runs sufficiently large to ensure precise results. The results show that the proposed chart outperforms the previous ones, becoming thus recommended for the statistical control of MSPs.","PeriodicalId":35415,"journal":{"name":"Gestao e Producao","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49254085","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 : 2021-07-02DOI: 10.1590/1806-9649-2021v28e41
Ramzi Talmoudi, Ali Achouri, H. Taleb
Abstract: Marcucci (1985) proposed a chi square goodness of fit statistic based generalized p-chart for multinomial process monitoring. A chi square distribution quantile was considered as a control chart limit. A weighted chi square goodness of fit statistic-based control chart is proposed for multinomial process monitoring in this paper, where more important weights are advocated to poor quality categories. The statistic distribution is approximated by a well-known linear combination of chi squares distribution. The approximation is assessed through a simulation, an extreme percentile of the approximated distribution is used as an upper control chart limit and a comparison is carried out with a chi square goodness of fit statistic-based control chart. The average run length is used as a benchmark and the comparison is performed using simulations considering two process shifts scenarios. Under some restrictions, the weighted statistic-based control chart allows an earlier detection of process shift in case of deterioration and postpones out of control signals in case of improvement. This benefit is clearer when the process is improved by a decrease in the poor quality probability category and an increase in the best quality category probability.
{"title":"Linear combination of chi-squares for multinomial process monitoring","authors":"Ramzi Talmoudi, Ali Achouri, H. Taleb","doi":"10.1590/1806-9649-2021v28e41","DOIUrl":"https://doi.org/10.1590/1806-9649-2021v28e41","url":null,"abstract":"Abstract: Marcucci (1985) proposed a chi square goodness of fit statistic based generalized p-chart for multinomial process monitoring. A chi square distribution quantile was considered as a control chart limit. A weighted chi square goodness of fit statistic-based control chart is proposed for multinomial process monitoring in this paper, where more important weights are advocated to poor quality categories. The statistic distribution is approximated by a well-known linear combination of chi squares distribution. The approximation is assessed through a simulation, an extreme percentile of the approximated distribution is used as an upper control chart limit and a comparison is carried out with a chi square goodness of fit statistic-based control chart. The average run length is used as a benchmark and the comparison is performed using simulations considering two process shifts scenarios. Under some restrictions, the weighted statistic-based control chart allows an earlier detection of process shift in case of deterioration and postpones out of control signals in case of improvement. This benefit is clearer when the process is improved by a decrease in the poor quality probability category and an increase in the best quality category probability.","PeriodicalId":35415,"journal":{"name":"Gestao e Producao","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48133858","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 : 2021-07-02DOI: 10.1590/1806-9649-2021v28e43
Achouri Ali, Emira Khedhiri, Ramzi Talmoudi, H. Taleb
Abstract: Interpreting an out-of-control signal is a crucial step in monitoring categorical processes. For the Chi-Square Control Chart (CSCC), an out-of control situation does not specify if it was a process deterioration or a process improvement. For this reason, a weighted chi-square statistical control chart WSCC is proposed with different weighting categories in order to enable an accelerated disclosure of a control situation after a shift due to a deterioration of quality and on the other hand, decelerate an out of control situation after a shift due to a quality improvement. Furthermore, in comparison with Marcucci’s method, the new procedure provides an accurate and easier way to interpret several signals. In other words, the WSCC allows a faster detection of an out-of control situation in the case of a quality deterioration, however, an out-of control situation is not quickly detected in the case of a quality improvement. Indeed, comparative studies have been performed to find the best control chart for each combination. Concluding remarks with comments and recommendations are given based on Average Run Length (ARL) and standard deviation run length (SDRL).
{"title":"Monitoring multinomial processes based on a weighted chi-square control chart","authors":"Achouri Ali, Emira Khedhiri, Ramzi Talmoudi, H. Taleb","doi":"10.1590/1806-9649-2021v28e43","DOIUrl":"https://doi.org/10.1590/1806-9649-2021v28e43","url":null,"abstract":"Abstract: Interpreting an out-of-control signal is a crucial step in monitoring categorical processes. For the Chi-Square Control Chart (CSCC), an out-of control situation does not specify if it was a process deterioration or a process improvement. For this reason, a weighted chi-square statistical control chart WSCC is proposed with different weighting categories in order to enable an accelerated disclosure of a control situation after a shift due to a deterioration of quality and on the other hand, decelerate an out of control situation after a shift due to a quality improvement. Furthermore, in comparison with Marcucci’s method, the new procedure provides an accurate and easier way to interpret several signals. In other words, the WSCC allows a faster detection of an out-of control situation in the case of a quality deterioration, however, an out-of control situation is not quickly detected in the case of a quality improvement. Indeed, comparative studies have been performed to find the best control chart for each combination. Concluding remarks with comments and recommendations are given based on Average Run Length (ARL) and standard deviation run length (SDRL).","PeriodicalId":35415,"journal":{"name":"Gestao e Producao","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67160094","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 : 2021-06-30DOI: 10.1590/1806-9649-2020v28e5065
D. A. S. L. Vega, Paula Horta Lemos, J. E. A. R. D. Silva, J. Vieira
Abstract: Choosing between Less Than Truckload (LTL) and Full Truckload (FTL) is based on a multicriteria decision because it takes into account aspects such as costs and operational efficiency in transportation, handling and stock of goods. The aim of this article is to provide a detailed analysis of the criteria that comprise the LTL and FTL transport decision using a multicriteria methodology that considers decision makers´ preferences. The SMARTS method was applied in a telecommunications company that outsources its logistics operation. Results show that the main criteria for choosing LTL shipment are related to the relationship with the customer and the efficiency in the delivery of the freight (reliability of the delivery time). On the other hand, choosing FTL transport requires a high weight given to the criteria regarding benefits and cost of transit inventory. The contribution of the research is to provide a structured and flexible analysis to choose the types of shipment (FTL and FLT) when taking into account the risk aversion of decision makers using a non-optimal approach, but with approximate solutions encompassing several qualitative and quantitative criteria in this choice.
{"title":"Criteria analysis for deciding the LTL and FTL modes of transport","authors":"D. A. S. L. Vega, Paula Horta Lemos, J. E. A. R. D. Silva, J. Vieira","doi":"10.1590/1806-9649-2020v28e5065","DOIUrl":"https://doi.org/10.1590/1806-9649-2020v28e5065","url":null,"abstract":"Abstract: Choosing between Less Than Truckload (LTL) and Full Truckload (FTL) is based on a multicriteria decision because it takes into account aspects such as costs and operational efficiency in transportation, handling and stock of goods. The aim of this article is to provide a detailed analysis of the criteria that comprise the LTL and FTL transport decision using a multicriteria methodology that considers decision makers´ preferences. The SMARTS method was applied in a telecommunications company that outsources its logistics operation. Results show that the main criteria for choosing LTL shipment are related to the relationship with the customer and the efficiency in the delivery of the freight (reliability of the delivery time). On the other hand, choosing FTL transport requires a high weight given to the criteria regarding benefits and cost of transit inventory. The contribution of the research is to provide a structured and flexible analysis to choose the types of shipment (FTL and FLT) when taking into account the risk aversion of decision makers using a non-optimal approach, but with approximate solutions encompassing several qualitative and quantitative criteria in this choice.","PeriodicalId":35415,"journal":{"name":"Gestao e Producao","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47665333","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 : 2021-06-30DOI: 10.1590/1806-9649-2020v28e5415
Lucas Rodrigues Deliberador, A. S. César, M. Batalha
Abstract: About one-third of the world's food production is lost or wasted annually at different stages of food supply chains (FSCs). Food loss usually occurs in the early stages of FSCs, while waste is more prevalent in their final stages. Thus, the main objectives of the present study were to investigate the causes of loss and waste, as well as strategies that can minimize them. Decreasing food waste in collective catering organizations, including university restaurants, is situated in the context of these concerns. In order to contribute to this discussion, the authors investigated the causes of wastage in university restaurants and possible interventions recommended in the literature to reduce it. A search considering the “food waste” and “university restaurant” constructs in five different databases found 352 publications related to the theme, of which 21 supported to answer the two questions that guided this search: Q1: “What are the causes that contribute to food waste in university restaurants?” and Q2: “What are the interventions that can be or are used in university restaurants to reduce food waste?” The literature search identified 13 causes (portion size; quality; price; emotion; palatability; preparation/cooking; menu; time; satiety; storage; service; overbuying; security) and 14 possible interventions (campaigns; trayless systems; waste management; portion size; quality; changing menus; planning; preordering; charity/donations; nutritional information; coercion; changing the dishes; preparation/cooking; storage). From this perspective, the present article provides a holistic view of food waste in university restaurants, in order to guide mitigation interventions and future research on this theme.
{"title":"How to fight food waste in university restaurants?","authors":"Lucas Rodrigues Deliberador, A. S. César, M. Batalha","doi":"10.1590/1806-9649-2020v28e5415","DOIUrl":"https://doi.org/10.1590/1806-9649-2020v28e5415","url":null,"abstract":"Abstract: About one-third of the world's food production is lost or wasted annually at different stages of food supply chains (FSCs). Food loss usually occurs in the early stages of FSCs, while waste is more prevalent in their final stages. Thus, the main objectives of the present study were to investigate the causes of loss and waste, as well as strategies that can minimize them. Decreasing food waste in collective catering organizations, including university restaurants, is situated in the context of these concerns. In order to contribute to this discussion, the authors investigated the causes of wastage in university restaurants and possible interventions recommended in the literature to reduce it. A search considering the “food waste” and “university restaurant” constructs in five different databases found 352 publications related to the theme, of which 21 supported to answer the two questions that guided this search: Q1: “What are the causes that contribute to food waste in university restaurants?” and Q2: “What are the interventions that can be or are used in university restaurants to reduce food waste?” The literature search identified 13 causes (portion size; quality; price; emotion; palatability; preparation/cooking; menu; time; satiety; storage; service; overbuying; security) and 14 possible interventions (campaigns; trayless systems; waste management; portion size; quality; changing menus; planning; preordering; charity/donations; nutritional information; coercion; changing the dishes; preparation/cooking; storage). From this perspective, the present article provides a holistic view of food waste in university restaurants, in order to guide mitigation interventions and future research on this theme.","PeriodicalId":35415,"journal":{"name":"Gestao e Producao","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67159745","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 : 2021-06-01DOI: 10.1590/1806-9649-2021v28e5300
Iara Franchi Arromba, R. Anholon, I. Rampasso, Dirceu Silva, O. Quelhas, L. A. Santa-Eulalia, W. Leal Filho
Abstract: This article analyses the difficulties observed in adopting the Total Productive Maintenance (TPM) program in production systems. The research strategies used for this purpose consisted of a literature review, a panel of experts and a survey with professionals working in manufacturing companies. Altogether, 69 market professionals took part in the survey and the collected data was analyzed through the PLS-SEM technique. Results indicate that there is a causal relationship between difficulties associated with the planning phase of a TPM program and issues associated with its implementation. This is an original research and the results are valuable to business professionals desiring to properly implement TPM, as well for researchers interested in the mechanics of total productive maintenance system’s adoption.
{"title":"Difficulties observed when implementing Total Productive Maintenance (TPM): empirical evidences from the manufacturing sector","authors":"Iara Franchi Arromba, R. Anholon, I. Rampasso, Dirceu Silva, O. Quelhas, L. A. Santa-Eulalia, W. Leal Filho","doi":"10.1590/1806-9649-2021v28e5300","DOIUrl":"https://doi.org/10.1590/1806-9649-2021v28e5300","url":null,"abstract":"Abstract: This article analyses the difficulties observed in adopting the Total Productive Maintenance (TPM) program in production systems. The research strategies used for this purpose consisted of a literature review, a panel of experts and a survey with professionals working in manufacturing companies. Altogether, 69 market professionals took part in the survey and the collected data was analyzed through the PLS-SEM technique. Results indicate that there is a causal relationship between difficulties associated with the planning phase of a TPM program and issues associated with its implementation. This is an original research and the results are valuable to business professionals desiring to properly implement TPM, as well for researchers interested in the mechanics of total productive maintenance system’s adoption.","PeriodicalId":35415,"journal":{"name":"Gestao e Producao","volume":"235 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67159927","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 : 2021-05-31DOI: 10.1590/1806-9649-2020V28E5115
Bruna Caffaro Boccaletti, L. C. B. B. Mello, Isadora de Paula Bastos
Abstract: The current economy has demanded from organizations greater quality in their operations, which makes necessary to avoid non-compliance of processes that generate extra expenses, efforts and influence satisfaction of clients. This article aims to understand main causes of products returns from market in a cosmetics company. Based on literature review and application of a quality tool, FMEA (Failure Modes and Effects Analysis), in the case study, solutions and their effects on the organization are evaluated. After studies, new solutions and suggestions were proposed to reduce organization's post-sale reverse logistics.
{"title":"Principal causes and challenges for reducing product returns: applying FMEA in a case study","authors":"Bruna Caffaro Boccaletti, L. C. B. B. Mello, Isadora de Paula Bastos","doi":"10.1590/1806-9649-2020V28E5115","DOIUrl":"https://doi.org/10.1590/1806-9649-2020V28E5115","url":null,"abstract":"Abstract: The current economy has demanded from organizations greater quality in their operations, which makes necessary to avoid non-compliance of processes that generate extra expenses, efforts and influence satisfaction of clients. This article aims to understand main causes of products returns from market in a cosmetics company. Based on literature review and application of a quality tool, FMEA (Failure Modes and Effects Analysis), in the case study, solutions and their effects on the organization are evaluated. After studies, new solutions and suggestions were proposed to reduce organization's post-sale reverse logistics.","PeriodicalId":35415,"journal":{"name":"Gestao e Producao","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67159461","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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