...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Production Research >Dynamic response to demand variability for precast production rescheduling with multiple lines
【24h】

Dynamic response to demand variability for precast production rescheduling with multiple lines

机译：对需求变化的动态响应，用于多条生产线重新安排预制生产

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

Production scheduling plays a crucial role in the prefabricated construction productivity and on-time delivery of precast components (PCs). However, previous studies mainly focused on the static scheduling of single production line without considering the demand variability in practice. To achieve dynamic production planning, a Two-level Rescheduling Model for Precast Production with multiple production lines is developed to minimise the rescheduling costs based on genetic algorithm, from the two levels of (1) selection of production line and (2) rescheduling of jobs based on PCs' priority. Further, two scenarios of different and shared mould types are investigated to represent real-world production environments. Finally, a real case study is conducted to test the validity of proposed rescheduling model. 58.1 and 48.5% cost savings are achieved by comparison to no response to changes and heuristic rescheduling methods, respectively. This research contributes to the precast production theory by expanding the insight into dynamic rescheduling with multiple production lines. The methodology will promote the on-time delivery of PCs and enhance the dynamic precast production management.
机译：生产计划在预制建筑生产率和预制组件（PC）的按时交付中起着至关重要的作用。但是，以前的研究主要集中在单个生产线的静态调度上，而没有考虑实践中的需求可变性。为了实现动态生产计划，从（1）生产线选择和（2）工作安排两个层面开发了具有多条生产线的预制生产两级重新计划模型，以最小化基于遗传算法的重新安排成本。根据PC的优先级。此外，研究了不同模具类型和共享模具类型的两种情况，以代表实际的生产环境。最后，进行了实际案例研究，以验证所提出的重新调度模型的有效性。与对更改无响应和启发式重新计划方法相比，分别节省了58.1和48.5％的成本。这项研究通过将洞察力扩展到具有多个生产线的动态重新计划而为预制生产理论做出了贡献。该方法将促进PC的按时交付并增强动态预制生产管理。

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