• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of sustainable engineering >Performance evaluation of the remanufacturing system prone to random failure and repair
【24h】

Performance evaluation of the remanufacturing system prone to random failure and repair

机译：容易出现随机故障和维修的再制造系统的性能评估

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Implementation of new environmental legislation and public awareness has increased the responsibility of manufacturers. Remanufacturing has been applied in many industries and sectors since its introduction. However, only 10% to 20% of the returned products pass through the remanufacturing process, and the remaining products are disposed in the landfills. Uncertainties like high failure rates of the servers, buffer capacities, and inappropriate preventive maintenance policies would be responsible for most of the delays in remanufacturing operations. In this paper, a simulation-based experimental methodology is used to determine the optimal preventive maintenance frequency and buffer allocation in a remanufacturing line. Moreover, an estimated relationship between preventive maintenance frequency and Mean Time Between Failure (MTBF), is presented to determine the best preventive maintenance frequency. The solution approach is applied to computer remanufacturing industry. Analysis of variance (ANOVA), and regression analysis are performed to denote the most influential factors to remanufacturing cycle time (performance measures). A case study is used to show the applicability of the modelling approach in assessing and improving the cycle time, and the profit of a remanufacturing line . Managerial insights are highlighted to support managers and decision-makers in their quest for more efficient and smooth operation of the remanufacturing system.
机译：实施新的环境法规和提高公众意识增加了制造商的责任。自从引入再制造以来，它已在许多行业和领域中得到应用。但是，只有10％到20％的退回产品通过再制造过程，其余产品则被丢弃在垃圾填埋场中。服务器制造故障率高，缓冲区容量大和不适当的预防性维护策略等不确定性是造成再制造操作延迟的主要原因。在本文中，基于仿真的实验方法用于确定再制造线上的最佳预防性维护频率和缓冲区分配。此外，提出了预防性维护频率与平均故障间隔时间（MTBF）之间的估计关系，以确定最佳的预防性维护频率。该解决方案方法应用于计算机再制造行业。进行方差分析（ANOVA）和回归分析以表示对再制造周期时间（性能指标）最有影响的因素。案例研究显示了建模方法在评估和改善周期时间方面的适用性，以及再制造线的利润。强调了管理洞察力，以支持管理人员和决策者寻求更高效，更顺畅的再制造系统运作。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号