Failure mode and effect analysis (FMEA) in mechanized harvest of sugarcane billets

Abstract

The quality control is used for the evaluation of processes and products, and it is important to detect and reduce variability and in operations management can be applied in mechanized harvesting of sugarcane billets. In this sense, this study aimed to identify critical quality indicators and, if necessary, to develop a continuous improvement plan for harvest of sugarcane billets. For the survey and definition of critical quality indicators the FMEA (Failure Mode and Effect Analysis) was applied, after the formation of the quality technical team. Evaluations of the collected variables were through control charts of individual values and the process capability indexes. There are 8 critical quality indicators in the billets harvesting process; the cutting height, the damage index, the percentage of non-viable buds and operating speed have greater importance for analysis due to the risk priority index and the easiness of obtaining data for analysis. The development of the improvement plan aims to reduce the variability due to crop billets, thus, making it able to perform the operation within the required quality standards.

Aplicabilidade Da Ferramenta Fmea Na Mitigação De Falhas De Processos Produtivos Da Agroindustria 4.0

“…Souza, 2018, encontrou resultado semelhante ao estudar a aplicação da ferramenta Failure Modes and Effects Analysis (FMEA) em uma empresa de pequeno porte do segmento de processamento e industrialização de derivados de milho, visando levantar e compreender as falhas do processo, identificando as mais críticas para que se pudesse priorizar sua correção e assim concluiu que a análise dos dados permitiu que fossem elaboradas propostas e ações com o intuito de eliminar os modos de falha, aumentar a confiabilidade do processo e, consequentemente, melhorar a produtividade da fábrica e aumentar a satisfação dos clientes. Voltarelli, et al, 2018, objetivando identificar indicadores críticos de qualidade e, desenvolvimento de um plano de melhoria contínua para a colheita de tarugos de cana-deaçúcar, utilizaram o FMEA para identificar os possíveis modos de falhas de processo e assim desenvolverem estes indicadores baseados em 8 indicadores críticos de qualidade identificados no processo de colheita de tarugos e propuseram um plano de melhoria visando reduzir a variabilidade devida aos tarugos das culturas, possibilitando assim a operação dentro dos padrões de qualidade exigidos.…”

Influence of Operational Conditions of Mechanized Harvesting on Sugarcane Losses and Impurities

“…During the harvesting process, factors such as topography and slope of the area, among others, can lead to low quality of work (Voltarelli et al, 2018). Thus, leveling of the area is required to reduce mineral impurities.…”

“…During the harvesting process, several factors can cause crop quality reduction. These include operating conditions (operator, displacement speed, and cutting height), the crop (sugarcane size and variety), and the environment (work shift and declivity), which can lead to poor quality work (Voltarelli et al, 2018).…”

Biomechanical Properties of Wolfberry Plant Organs

“…The picking rate was essential for determining the factors influencing the binding force. Orthogonal experiments comprising three factors and three layers were designed to study the picking temperature, mass of the fruit, and the location of the fruit on the branch with the data for mature fruits obtained in 2018 (Voltarelli et al, 2018;Noronha et al, 2018;Zhang et al, 2019a;Du et al, 2019;Feng et al, 2019;Jin et al, 2019). The experimental scheme was presented in Table 1.…”