A reliability engineering case study of sugarcane harvesters
Abstract: The present study aimed to analyze factors associated with the equipment failures of the sugarcane harvester, whose machineries has high importance in the harvest process and cost involved. Part of the data was originally provided by a company located in the countryside of Sao Paulo State,...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | Portuguese |
| Published: |
Universidade Federal de São Carlos
2020-07-01
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| Series: | Gestão & Produção |
| Subjects: | |
| Online Access: | http://www.scielo.br/pdf/gp/v27n4/0104-530X-gp-27-4-e4569.pdf |
| _version_ | 1798026548521992192 |
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| author | Diego Carvalho do Nascimento Pedro Luiz Ramos André Ennes Camila Cocolo Márcio José Nicola Carlos Alonso Luiz Gustavo Ribeiro Francisco Louzada |
| author_facet | Diego Carvalho do Nascimento Pedro Luiz Ramos André Ennes Camila Cocolo Márcio José Nicola Carlos Alonso Luiz Gustavo Ribeiro Francisco Louzada |
| author_sort | Diego Carvalho do Nascimento |
| collection | DOAJ |
| description | Abstract: The present study aimed to analyze factors associated with the equipment failures of the sugarcane harvester, whose machineries has high importance in the harvest process and cost involved. Part of the data was originally provided by a company located in the countryside of Sao Paulo State, from two machines, collected from January 2015 to August 2017, corresponding to 2.5 crops. The overall dataset was obtained from three different sources: a stop-tracking system, which provides the track of a preventive and corrective maintenance historical of the analyzed equipment; telemetry data of the equipment, captured through embedded computer systems, installed in the machine’ type under study, which provide information on its operation; and meteorological data from the Brazilian National Institute of Meteorology. Multivariate analyzes were used such as principal components and multiple regression models, therefore creating a model for prediction considering the next equipment’ break, then pointing to causes of process failures. Thus, the results point to some improvements concerned with individualized reliability scheme in order to reduce the number of corrective stops given the equipment. |
| first_indexed | 2024-04-11T18:37:07Z |
| format | Article |
| id | doaj.art-0a9f5e86d2324916bc563e80e1b25b7a |
| institution | Directory Open Access Journal |
| issn | 1806-9649 |
| language | Portuguese |
| last_indexed | 2024-04-11T18:37:07Z |
| publishDate | 2020-07-01 |
| publisher | Universidade Federal de São Carlos |
| record_format | Article |
| series | Gestão & Produção |
| spelling | doaj.art-0a9f5e86d2324916bc563e80e1b25b7a2022-12-22T04:09:13ZporUniversidade Federal de São CarlosGestão & Produção1806-96492020-07-0127410.1590/0104-530x4569-20A reliability engineering case study of sugarcane harvestersDiego Carvalho do Nascimentohttps://orcid.org/0000-0002-3406-4518Pedro Luiz Ramoshttps://orcid.org/0000-0002-5387-2457André EnnesCamila CocoloMárcio José NicolaCarlos AlonsoLuiz Gustavo RibeiroFrancisco Louzadahttps://orcid.org/0000-0001-7815-9554Abstract: The present study aimed to analyze factors associated with the equipment failures of the sugarcane harvester, whose machineries has high importance in the harvest process and cost involved. Part of the data was originally provided by a company located in the countryside of Sao Paulo State, from two machines, collected from January 2015 to August 2017, corresponding to 2.5 crops. The overall dataset was obtained from three different sources: a stop-tracking system, which provides the track of a preventive and corrective maintenance historical of the analyzed equipment; telemetry data of the equipment, captured through embedded computer systems, installed in the machine’ type under study, which provide information on its operation; and meteorological data from the Brazilian National Institute of Meteorology. Multivariate analyzes were used such as principal components and multiple regression models, therefore creating a model for prediction considering the next equipment’ break, then pointing to causes of process failures. Thus, the results point to some improvements concerned with individualized reliability scheme in order to reduce the number of corrective stops given the equipment.http://www.scielo.br/pdf/gp/v27n4/0104-530X-gp-27-4-e4569.pdfReliabilityMultivariate analysisOptimization in maintenance planning |
| spellingShingle | Diego Carvalho do Nascimento Pedro Luiz Ramos André Ennes Camila Cocolo Márcio José Nicola Carlos Alonso Luiz Gustavo Ribeiro Francisco Louzada A reliability engineering case study of sugarcane harvesters Gestão & Produção Reliability Multivariate analysis Optimization in maintenance planning |
| title | A reliability engineering case study of sugarcane harvesters |
| title_full | A reliability engineering case study of sugarcane harvesters |
| title_fullStr | A reliability engineering case study of sugarcane harvesters |
| title_full_unstemmed | A reliability engineering case study of sugarcane harvesters |
| title_short | A reliability engineering case study of sugarcane harvesters |
| title_sort | reliability engineering case study of sugarcane harvesters |
| topic | Reliability Multivariate analysis Optimization in maintenance planning |
| url | http://www.scielo.br/pdf/gp/v27n4/0104-530X-gp-27-4-e4569.pdf |
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