Process capacity improvement by equipment and operations control ratios in de-husking lines of small-scale rice processing factories

C. Achebe, S. Nwanya, S. O. Enibe
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Abstract

Inadequate knowledge of equipment and operations control ratios which contribute largely to low process capacity in the de-husking lines of small-scale rice processing factories is one of the critical challenges to improving rice processing in Sub-Saharan African countries, particularly Nigeria where capacity deficit leads to rice importation. This study seeks to empirically investigate equipment and operations control ratios in de-husking lines of small-scale factories in order to explore their potential and improve process capacity. The objectives are to determine the equipment and operations effectiveness, identify the root causes of inefficiency, and prioritize improvement efforts in the de-husking lines. The study was carried out in 10 selected factories of a milling cluster where production data for 2017-2022 was collected to complement data obtained through direct observation during processing hours and structured interviews. Microsoft Excel and Scilab software were used for data analysis based on existing models and other mathematical models developed for this study. Fluctuations observed in the process capacities of the de-husking lines from 2017-2022 indicated variabilities in equipment availability and performance. The overall equipment effectiveness (OEE) was generally below 50% which indicates production losses caused by frequent downtime and reduced speed of the machines. The overall operations effectiveness (OOE) were below 40%, and that implies the de-husking lines do not respond well to unscheduled downtime or unexpected tasks to reduce downtime for process capacity improvement. Tracing other potential to be unlocked to improve process capacity with the existing machines in the de-husking lines; the total effective equipment performance (TEEP) values were found below 25%, leaving 75% potential to be unlocked. Reliability modelling before machine installation, preventive maintenance, extended work scheduling, continuous training of workforce to reduce delays in equipment repairs are some of the measures to increase machine availability and improve process capacity in de-husking lines of small-scale rice processing factories.
通过小型稻米加工厂脱壳生产线的设备和操作控制比率提高加工能力
对设备和操作控制比率的认识不足在很大程度上导致了小型大米加工厂脱壳生产线的加工能力低下,这是撒哈拉以南非洲国家(尤其是尼日利亚,其产能不足导致大米进口)在改善大米加工方面面临的严峻挑战之一。本研究试图对小型工厂脱壳生产线的设备和操作控制比率进行实证调查,以挖掘其潜力并提高加工能力。目标是确定设备和操作的有效性,找出效率低下的根本原因,并确定脱壳生产线改进工作的优先次序。研究在制粉集群的 10 家选定工厂进行,收集了 2017-2022 年的生产数据,以补充通过加工时间直接观察和结构化访谈获得的数据。根据现有模型和为本研究开发的其他数学模型,使用 Microsoft Excel 和 Scilab 软件进行数据分析。从 2017-2022 年期间观察到的脱壳生产线加工能力波动表明,设备可用性和性能存在差异。整体设备效率(OEE)普遍低于 50%,这表明频繁停机和机器降速造成了生产损失。整体运营效率(OOE)低于 40%,这意味着脱壳生产线不能很好地应对计划外停机或意外任务,以减少停机时间,提高工艺能力。在对脱壳生产线上的现有机器进行其他潜力挖掘以提高工艺能力的过程中,发现总有效设备性能(TEEP)值低于 25%,还有 75% 的潜力有待挖掘。在机器安装前建立可靠性模型、进行预防性维护、延长工作时间安排、对员工进行持续培训以减少设备维修延误,这些都是提高机器可用性和小型稻米加工厂脱壳生产线加工能力的措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
0.10
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0.00%
发文量
126
审稿时长
11 weeks
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