Pub Date : 2022-01-01DOI: 10.1590/0103-6513.20210066
M. M. Bellinello, S. Antomarioni, G. Souza, M. Bevilacqua, F. Ciarapica
Paper aims: This paper aims to develop a proper maintenance policy directly related to defining critical components for ensuring a high level of safety and high-level in-service quality for all hydro generator units. Originality: An innovative integrated tool that contributes to ensuing assertiveness in decision-making to determine the critical components is presented in this study. Specifically, hydro-generator unit type Kaplan belonging to a Brazilian Hydroelectric power plant is used as an application case to highlight the choice of the most suitable maintenance policy in light of the proposed approach. The selection of the case study is based on the fact that hydroelectric power plants are the basis of the Brazilian energy matrix, accounting for 75% of the demand in the country. Therefore, the need to maintain hydroelectric plants’ availability and operational reliability is clear not to compromise the continuity and conformity (quality) of the electrical energy supply. Research method: Seven multi-criteria decision-making methods were applied in addition to two methods for deciding weight (Critic Method and Entropy) have been compared to determine the critical components of the hydro-generator. To investigate the robustness of the classification of the applied Multi-Criteria Decision Making approaches, a sensitivity analysis was performed based on the weight change of each decision criterion. Main findings : As a main result, the Entropy- Multi-Attribute Utility Theory model is proposed as the best approach to guarantee the selection of critical components for the Brazilian hydroelectric power plant case study. The validation sensitivity analysis by critical Fuzzy K-means groups guarantees that it is a robust tool for decision-making. Implications for theory and practice: Ensuring the availability and reliability of hydroelectric plants can be achieved by employing appropriate maintenance policies that reduce the likelihood of failure or even eliminate its root causes, preventing failure from occurring. Consequently, a robust tool for decision-making regarding the Kaplan hydro generator’s critical components’ monitoring was developed.
{"title":"Entropy-MAUT integrated approach supported by Fuzzy K-means: a robust tool for determining critical components for maintenance monitoring and a case study of Kaplan hydro generator unit","authors":"M. M. Bellinello, S. Antomarioni, G. Souza, M. Bevilacqua, F. Ciarapica","doi":"10.1590/0103-6513.20210066","DOIUrl":"https://doi.org/10.1590/0103-6513.20210066","url":null,"abstract":"Paper aims: This paper aims to develop a proper maintenance policy directly related to defining critical components for ensuring a high level of safety and high-level in-service quality for all hydro generator units. Originality: An innovative integrated tool that contributes to ensuing assertiveness in decision-making to determine the critical components is presented in this study. Specifically, hydro-generator unit type Kaplan belonging to a Brazilian Hydroelectric power plant is used as an application case to highlight the choice of the most suitable maintenance policy in light of the proposed approach. The selection of the case study is based on the fact that hydroelectric power plants are the basis of the Brazilian energy matrix, accounting for 75% of the demand in the country. Therefore, the need to maintain hydroelectric plants’ availability and operational reliability is clear not to compromise the continuity and conformity (quality) of the electrical energy supply. Research method: Seven multi-criteria decision-making methods were applied in addition to two methods for deciding weight (Critic Method and Entropy) have been compared to determine the critical components of the hydro-generator. To investigate the robustness of the classification of the applied Multi-Criteria Decision Making approaches, a sensitivity analysis was performed based on the weight change of each decision criterion. Main findings : As a main result, the Entropy- Multi-Attribute Utility Theory model is proposed as the best approach to guarantee the selection of critical components for the Brazilian hydroelectric power plant case study. The validation sensitivity analysis by critical Fuzzy K-means groups guarantees that it is a robust tool for decision-making. Implications for theory and practice: Ensuring the availability and reliability of hydroelectric plants can be achieved by employing appropriate maintenance policies that reduce the likelihood of failure or even eliminate its root causes, preventing failure from occurring. Consequently, a robust tool for decision-making regarding the Kaplan hydro generator’s critical components’ monitoring was developed.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67577172","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: 10.1590/0103-6513.20210117
M. L. Oliveira, Laryssa de Andrade Mairinque, Júlia Barros dos Santos, J. Lima
Paper aims: This study aimed to analyze how the satisfaction level of public transport (PT) users is influenced by their socioeconomic characteristics. Originality: The analysis of how socioeconomic variables influence the satisfaction level through the association between MANOVA and exploratory analysis is still not explored, especially in Brazil and in medium-sized cities, which represent the majority of Brazilian cities. Research method: Data collection was carried out by questionnaire in a Brazilian city. The 330 users of PT evaluated their satisfaction level concerning 12 quality indicators. Statistical analyses were performed using Pearson’s correlation and MANOVA. Main findings: Most socioeconomic variables influenced user satisfaction in at least one indicator, gender and schooling being the most prominent. The results showed that women’s mean level of satisfaction is lower than men’s concerning indicators affected by gender. Fare was the indicator with the worst score, being influenced by users’ occupation. Implications for theory and practice: The study presents practical and methodological contributions. The results provides technical and scientific subsidies for public policies and service improvement. It possible to improve each indicator according to the users’ socioeconomic characteristics, encouraging the use of PT and contributing to the urban environment sustainability. The indicators accessibility, information, punctuality, public security, and frequency were used in more than 70% of the analyzed studies. Moreover, the indicators fare, travel time, crowding, stations characteristics, employee behavior, and comfort were also widely seen, in more than 40% of the articles. These findings are in agreement with De Oña & De Oña (2015), who demonstrated that there is no consensus about which quality indicators should be used and emphasized that this choice is highly dependent on the context. Despite this, the authors emphasize that the indicators frequency, punctuality, comfort, cleanliness of vehicles, safety, availability of information, courtesy of employees and fare are the most used. In this study, after evaluating the indicators that appeared in more than 40% of the articles reviewed, 12 most important indicators for the city under study were selected, according to previous research (Santos & Lima, 2021). All these works have contributed to the evaluation of the quality of PT; however, further studies to understand the determinants of demand and behavior of PT users are still needed since each case has different settings and characteristics in terms of environment, security, and
{"title":"Multivariate analysis of public transport quality: a case study in a medium-sized Brazilian city","authors":"M. L. Oliveira, Laryssa de Andrade Mairinque, Júlia Barros dos Santos, J. Lima","doi":"10.1590/0103-6513.20210117","DOIUrl":"https://doi.org/10.1590/0103-6513.20210117","url":null,"abstract":"Paper aims: This study aimed to analyze how the satisfaction level of public transport (PT) users is influenced by their socioeconomic characteristics. Originality: The analysis of how socioeconomic variables influence the satisfaction level through the association between MANOVA and exploratory analysis is still not explored, especially in Brazil and in medium-sized cities, which represent the majority of Brazilian cities. Research method: Data collection was carried out by questionnaire in a Brazilian city. The 330 users of PT evaluated their satisfaction level concerning 12 quality indicators. Statistical analyses were performed using Pearson’s correlation and MANOVA. Main findings: Most socioeconomic variables influenced user satisfaction in at least one indicator, gender and schooling being the most prominent. The results showed that women’s mean level of satisfaction is lower than men’s concerning indicators affected by gender. Fare was the indicator with the worst score, being influenced by users’ occupation. Implications for theory and practice: The study presents practical and methodological contributions. The results provides technical and scientific subsidies for public policies and service improvement. It possible to improve each indicator according to the users’ socioeconomic characteristics, encouraging the use of PT and contributing to the urban environment sustainability. The indicators accessibility, information, punctuality, public security, and frequency were used in more than 70% of the analyzed studies. Moreover, the indicators fare, travel time, crowding, stations characteristics, employee behavior, and comfort were also widely seen, in more than 40% of the articles. These findings are in agreement with De Oña & De Oña (2015), who demonstrated that there is no consensus about which quality indicators should be used and emphasized that this choice is highly dependent on the context. Despite this, the authors emphasize that the indicators frequency, punctuality, comfort, cleanliness of vehicles, safety, availability of information, courtesy of employees and fare are the most used. In this study, after evaluating the indicators that appeared in more than 40% of the articles reviewed, 12 most important indicators for the city under study were selected, according to previous research (Santos & Lima, 2021). All these works have contributed to the evaluation of the quality of PT; however, further studies to understand the determinants of demand and behavior of PT users are still needed since each case has different settings and characteristics in terms of environment, security, and","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578054","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: 10.1590/0103-6513.20220024
A. Lima, A. Scalco, G. Ganga
Paper Aims: This work aims to identify the socio-environmental attributes related to the label ‘Brazilian Organic Product – BOP- perceived by consumers of organic foods. Originality: This paper is pioneering in the understanding of the attributes of BOP label in Brazil by consumers. Also, is unique in exploring the dimensions “organic’, “environmental” and “social” based on Brazilian law regarding organic food and the Guidelines of the Certifiers of Organic Products in Brazil. Research method: A survey was conducted with 106 consumers of organic foods and an exploratory factor analysis (EFA) was carried out. Main findings: Results showed that eight dimensions of attributes (Labor Laws and Social Incentive; Social and Environmental Practices; Environmental Management; Social and Environmental Protection; Environmental Preservation; Natural Products; Animal and Social Welfare; Non-renewable resources) influence consumer’s perception about the BOP label. Implications for theory and practice: For theory this study shows how consumers perceive socio environmental attributes through labels and how this perception can motivate the purchase. For practice, intended to provide insights for marketing managers to better improve information on the labels Also, provide information to public policy managers to improve policies that can reach out more consumers.
{"title":"Products with organic certification: do Brazilian consumers perceive their attributes?","authors":"A. Lima, A. Scalco, G. Ganga","doi":"10.1590/0103-6513.20220024","DOIUrl":"https://doi.org/10.1590/0103-6513.20220024","url":null,"abstract":"Paper Aims: This work aims to identify the socio-environmental attributes related to the label ‘Brazilian Organic Product – BOP- perceived by consumers of organic foods. Originality: This paper is pioneering in the understanding of the attributes of BOP label in Brazil by consumers. Also, is unique in exploring the dimensions “organic’, “environmental” and “social” based on Brazilian law regarding organic food and the Guidelines of the Certifiers of Organic Products in Brazil. Research method: A survey was conducted with 106 consumers of organic foods and an exploratory factor analysis (EFA) was carried out. Main findings: Results showed that eight dimensions of attributes (Labor Laws and Social Incentive; Social and Environmental Practices; Environmental Management; Social and Environmental Protection; Environmental Preservation; Natural Products; Animal and Social Welfare; Non-renewable resources) influence consumer’s perception about the BOP label. Implications for theory and practice: For theory this study shows how consumers perceive socio environmental attributes through labels and how this perception can motivate the purchase. For practice, intended to provide insights for marketing managers to better improve information on the labels Also, provide information to public policy managers to improve policies that can reach out more consumers.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578438","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: 10.1590/0103-6513.20220010
L. Rafael, Sérgio Luis da Silva
Paper aims : Analyze the relationship among interdepartmental integration (IDI), socialization, and product portfolio performance (PPP), mainly the effect of socialization’s mediation on the relationship between the other two constructs. Originality : No study has related both IDI and socialization for improving PPP, with the aim of overcoming the information absence and flow in this portfolio management. This work offers an alternative when compared to past studies, which is the importance of socialization for product portfolio’s success. Research method : Survey with 131 most innovative companies in Brazil. Results were provided by PLS-SEM. Main findings : IDI has direct effect on socialization and no direct effect on PPP, besides the mediation of socialization is confirmed. Furthermore, IDI presents indirect effect on PPP. Implications for theory and practice : Socialization’s mediation opens space for other theories that can be beneficial to the product portfolio. Furthermore, Managers can prioritize IDI’s actions to potentialize PPP through socialization.
{"title":"The mediating role of socialization in the relationship between interdepartmental integration and product portfolio performance","authors":"L. Rafael, Sérgio Luis da Silva","doi":"10.1590/0103-6513.20220010","DOIUrl":"https://doi.org/10.1590/0103-6513.20220010","url":null,"abstract":"Paper aims : Analyze the relationship among interdepartmental integration (IDI), socialization, and product portfolio performance (PPP), mainly the effect of socialization’s mediation on the relationship between the other two constructs. Originality : No study has related both IDI and socialization for improving PPP, with the aim of overcoming the information absence and flow in this portfolio management. This work offers an alternative when compared to past studies, which is the importance of socialization for product portfolio’s success. Research method : Survey with 131 most innovative companies in Brazil. Results were provided by PLS-SEM. Main findings : IDI has direct effect on socialization and no direct effect on PPP, besides the mediation of socialization is confirmed. Furthermore, IDI presents indirect effect on PPP. Implications for theory and practice : Socialization’s mediation opens space for other theories that can be beneficial to the product portfolio. Furthermore, Managers can prioritize IDI’s actions to potentialize PPP through socialization.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67578218","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: 10.1590/0103-6513.20210082
K. Santos, E. Loures, Osiris Canciglieri Junior, A. L. Micosky
Paper aims: Diagnostic analysis of PLM (Product Lifecycle Management) based on Industry 4.0 requirements supported by the AHP (Analytic Hierarchy Process) method. Originality: The literature review found no research papers on PLM Maturity Models linked to requirements of Industry 4.0, attesting to the originality of the research and the topic proposed by the study. Research method: The analysis is performed using an assessment framework that organizes and lists I4.0 attributes and PLM categories, supported by a multicriteria diagnostic assessment model based on the AHP method. The case study used in the research is an automotive industry located in the city of Curitiba, Brazil. Main findings: A diagnostic analysis of the PLM categories and attributes of the I4.0 was performed, and the company’s overall levels of maturity were observed. Implication for theory and practice: The results obtained from the diagnostic analysis indicate that the company maturity is Level 2, analyses were also undertaken with respect to PLM categories and Industry 4.0 attributes. Proposals for improvements were made with the objective of increasing the level of maturity and reducing gaps and problems identified in the diagnostic assessment.
{"title":"Diagnostic assessment of product lifecycle management based on Industry 4.0 requirements","authors":"K. Santos, E. Loures, Osiris Canciglieri Junior, A. L. Micosky","doi":"10.1590/0103-6513.20210082","DOIUrl":"https://doi.org/10.1590/0103-6513.20210082","url":null,"abstract":"Paper aims: Diagnostic analysis of PLM (Product Lifecycle Management) based on Industry 4.0 requirements supported by the AHP (Analytic Hierarchy Process) method. Originality: The literature review found no research papers on PLM Maturity Models linked to requirements of Industry 4.0, attesting to the originality of the research and the topic proposed by the study. Research method: The analysis is performed using an assessment framework that organizes and lists I4.0 attributes and PLM categories, supported by a multicriteria diagnostic assessment model based on the AHP method. The case study used in the research is an automotive industry located in the city of Curitiba, Brazil. Main findings: A diagnostic analysis of the PLM categories and attributes of the I4.0 was performed, and the company’s overall levels of maturity were observed. Implication for theory and practice: The results obtained from the diagnostic analysis indicate that the company maturity is Level 2, analyses were also undertaken with respect to PLM categories and Industry 4.0 attributes. Proposals for improvements were made with the objective of increasing the level of maturity and reducing gaps and problems identified in the diagnostic assessment.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67577064","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: 10.1590/0103-6513.20210147
E. G. Nabati, M. T. Alvela Nieto, Dennis Bode, T. Schindler, André Decker, K. Thoben
Paper aims: Due to increasing energy prices, manufacturers have to pay more attention to the energy efficiency of their production processes. This paper aims to support manufacturers in increasing processes’ energy efficiency by using production data and applying machine learning approaches. Originality: Systematic guidelines or standards for minimising the energy consumption of manufacturing processes through machine learning approaches are still lacking. This gap is addressed in this paper. Research method: The paper follows a qualitative research method to understand the manufacturing processes and their challenges in improving energy efficiency. The raw data for a 5-step approach were collected in research projects with manufacturing SMEs, and information about the processes through interviews and workshops with them. Then, an analysis of currently available machine learning frameworks and their selection and implementation is conducted. Main findings: The main result is a 5-step approach for increasing the energy efficiency of manufacturing processes through machine learning. Essential applications and technical challenges for data mapping, integrating, modelling, implementing, and deploying machine learning algorithms in manufacturing processes for increasing energy efficiency are presented. Implications for theory and practice: The findings can guide manufacturers, researchers, and data scientists to use machine learning in practice when they intend to increase the energy efficiency of manufacturing processes.
{"title":"Challenges of manufacturing for energy efficiency: towards a systematic approach through applications of machine learning","authors":"E. G. Nabati, M. T. Alvela Nieto, Dennis Bode, T. Schindler, André Decker, K. Thoben","doi":"10.1590/0103-6513.20210147","DOIUrl":"https://doi.org/10.1590/0103-6513.20210147","url":null,"abstract":"Paper aims: Due to increasing energy prices, manufacturers have to pay more attention to the energy efficiency of their production processes. This paper aims to support manufacturers in increasing processes’ energy efficiency by using production data and applying machine learning approaches. Originality: Systematic guidelines or standards for minimising the energy consumption of manufacturing processes through machine learning approaches are still lacking. This gap is addressed in this paper. Research method: The paper follows a qualitative research method to understand the manufacturing processes and their challenges in improving energy efficiency. The raw data for a 5-step approach were collected in research projects with manufacturing SMEs, and information about the processes through interviews and workshops with them. Then, an analysis of currently available machine learning frameworks and their selection and implementation is conducted. Main findings: The main result is a 5-step approach for increasing the energy efficiency of manufacturing processes through machine learning. Essential applications and technical challenges for data mapping, integrating, modelling, implementing, and deploying machine learning algorithms in manufacturing processes for increasing energy efficiency are presented. Implications for theory and practice: The findings can guide manufacturers, researchers, and data scientists to use machine learning in practice when they intend to increase the energy efficiency of manufacturing processes.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67577876","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: 10.1590/0103-6513.20220019
R. Arantes, Lucas Gabriel Zanon, L. Calache, Ana Carolina Bertassini, L. Carpinetti
Paper aims : Presents a new group decision approach for circular business models (CBMs) prioritization based on circular economy (CE) principles and indicators. Originality : It was not found in the literature quantitative approaches to indicate which CBMs can be prioritized towards CE implementation. Research method : Fuzzy AHP is applied to calculate the weights of the CE principles. Fuzzy TOPSIS is used to rank the CBMs. A pilot application demonstrates the applicability of the proposed approach. Main findings : To perform equally on all dimensions of the circularity indicators, recovery by-products have a greater impact on CE implementation. Focusing on economic indicators, Product as a Service and Recovery By-Products should receive priority. Focusing on social indicators, Product as a Service is the most recommended CBM. Implications for theory and practice : It was identified the CBMs that are most suitable for performance improvement regarding CE implementation, according to the organization’s dominant CE principles.
{"title":"A fuzzy multicriteria group decision approach for circular business models prioritization","authors":"R. Arantes, Lucas Gabriel Zanon, L. Calache, Ana Carolina Bertassini, L. Carpinetti","doi":"10.1590/0103-6513.20220019","DOIUrl":"https://doi.org/10.1590/0103-6513.20220019","url":null,"abstract":"Paper aims : Presents a new group decision approach for circular business models (CBMs) prioritization based on circular economy (CE) principles and indicators. Originality : It was not found in the literature quantitative approaches to indicate which CBMs can be prioritized towards CE implementation. Research method : Fuzzy AHP is applied to calculate the weights of the CE principles. Fuzzy TOPSIS is used to rank the CBMs. A pilot application demonstrates the applicability of the proposed approach. Main findings : To perform equally on all dimensions of the circularity indicators, recovery by-products have a greater impact on CE implementation. Focusing on economic indicators, Product as a Service and Recovery By-Products should receive priority. Focusing on social indicators, Product as a Service is the most recommended CBM. Implications for theory and practice : It was identified the CBMs that are most suitable for performance improvement regarding CE implementation, according to the organization’s dominant CE principles.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67577902","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: 10.1590/0103-6513.20210037
A. P. Vargas, Danilo Díaz, Santiago Jaramillo, Francisco Rangel, D. Villa, J. G. Villegas
Paper aims: This study presents several business analytics tools that allow improving the tactical planning of the collection process for a Colombian solid-waste management company. Originality: The extant literature of operations research/analytics applied to these systems focuses on facility location or vehicle routing. Tactical decisions are seldom studied in the operations research/analytics literature devoted to waste management systems. By contrast, the focus of this paper is on tactical decisions: fleet sizing, frequency assignment, route scheduling and internal resource allocation in a new waste transfer station. Research method: We follow a multimethodology approach that uses mathematical programming, metaheuristics, and discrete event simulation. The models use historical information of the system, and the solution of a model are used as input data for the other models. Main findings: Introducing a new waste transfer station allows an important reduction of the compactors fleet. However, to prevent a collapse in its internal operation an even operation is needed. This is achieved by rescheduling the routes to balance their arrival during the day. Additional benefits can be attained if some soft constraints are relaxed. Implications for theory and practice: Practitioners looking for tactical planning tools on waste collection systems have here an example of their application and benefits. Improvements can be achieved by tactical planning without heavily disrupting decisions at the operational level.
{"title":"Improving the tactical planning of solid waste collection with prescriptive analytics: a case study","authors":"A. P. Vargas, Danilo Díaz, Santiago Jaramillo, Francisco Rangel, D. Villa, J. G. Villegas","doi":"10.1590/0103-6513.20210037","DOIUrl":"https://doi.org/10.1590/0103-6513.20210037","url":null,"abstract":"Paper aims: This study presents several business analytics tools that allow improving the tactical planning of the collection process for a Colombian solid-waste management company. Originality: The extant literature of operations research/analytics applied to these systems focuses on facility location or vehicle routing. Tactical decisions are seldom studied in the operations research/analytics literature devoted to waste management systems. By contrast, the focus of this paper is on tactical decisions: fleet sizing, frequency assignment, route scheduling and internal resource allocation in a new waste transfer station. Research method: We follow a multimethodology approach that uses mathematical programming, metaheuristics, and discrete event simulation. The models use historical information of the system, and the solution of a model are used as input data for the other models. Main findings: Introducing a new waste transfer station allows an important reduction of the compactors fleet. However, to prevent a collapse in its internal operation an even operation is needed. This is achieved by rescheduling the routes to balance their arrival during the day. Additional benefits can be attained if some soft constraints are relaxed. Implications for theory and practice: Practitioners looking for tactical planning tools on waste collection systems have here an example of their application and benefits. Improvements can be achieved by tactical planning without heavily disrupting decisions at the operational level.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67576711","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: 10.1590/0103-6513.20210092
Márcio Ricardo Morelli de Meira, P. Oprime, Ricardo Coser Mergulhão
Paper aims: This paper studies the influence of process variation on deviation from nominal control chart performance and proposes some adjustments on the control limits to make it enable on small batches. Originality: Specific methods were developed to monitor small batches, mainly due to unavailability of data for precise parameters estimation, like the deviation from nominal control charts. However, Montgomery (2014) highlights some essential aspects, such as the influence of process variation on its performance. Research method: The method used was mathematical modeling and computer simulation. Main findings: The results validated that there is a significant influence of the process variation on the control chart performance. It has been demonstrated that small adjustments on the control limits can make it enable on lean environments. Implications for theory and practice: The main contribution is demonstrating the use of deviation from nominal control chart, through the valid control limits definition regardless of the samples size.
{"title":"Analysis of deviation from nominal control chart performance on short production runs","authors":"Márcio Ricardo Morelli de Meira, P. Oprime, Ricardo Coser Mergulhão","doi":"10.1590/0103-6513.20210092","DOIUrl":"https://doi.org/10.1590/0103-6513.20210092","url":null,"abstract":"Paper aims: This paper studies the influence of process variation on deviation from nominal control chart performance and proposes some adjustments on the control limits to make it enable on small batches. Originality: Specific methods were developed to monitor small batches, mainly due to unavailability of data for precise parameters estimation, like the deviation from nominal control charts. However, Montgomery (2014) highlights some essential aspects, such as the influence of process variation on its performance. Research method: The method used was mathematical modeling and computer simulation. Main findings: The results validated that there is a significant influence of the process variation on the control chart performance. It has been demonstrated that small adjustments on the control limits can make it enable on lean environments. Implications for theory and practice: The main contribution is demonstrating the use of deviation from nominal control chart, through the valid control limits definition regardless of the samples size.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67577215","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: 10.1590/0103-6513.20210057
José Francisco Zanazzi, José Luis Zanazzi, Daniel Pontelli
Paper aims: The FMEA method (Failure Mode and Effects Analysis) has difficulty in prioritizing actions, verifying agreements among group participants and assessing uncertainty. This paper overcomes these shortcomings. The proposal applies FMEA in traditional format, establishes priorities for improvement actions, updates them periodically with better criteria than the traditional ones and values group agreement. Originality: Other contributions claim to change the method, but this is not accepted by the organizations that apply it. In addition, they propose individual approaches, when the FMEA is essentially group-based. In contrast, this proposal establishes priorities without altering the basic requirements of the FMEA. Research method: An action-research approach is used. Main findings: Ease of application, improved group learning and commitment to action plans are confirmed. Implications for theory and practice: A new group decision-making method is applied and a flexible solution is proposed, adaptable to very diverse problems.
失效模式和影响分析(Failure Mode and Effects Analysis, FMEA)方法在确定行动优先级、验证群体参与者之间的协议和评估不确定性方面存在困难。本文克服了这些缺点。建议采用传统格式的FMEA，确定改进行动的优先级，定期更新比传统更好的标准，并重视团队协议。原创性:其他贡献声称改变了方法，但这并不被应用它的组织所接受。此外，当FMEA本质上是基于群体的时候，他们提出了个别的方法。相比之下，该提案在不改变FMEA基本要求的情况下确定了优先事项。研究方法:采用行动研究方法。主要发现:应用的便利性、改善的小组学习和对行动计划的承诺得到证实。理论与实践启示:应用了一种新的群体决策方法，并提出了一种灵活的解决方案，适用于非常多样化的问题。
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