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Warehouse scheduling performance analysis considering LHRL
  • 期刊名称:Advances in Manufacturing
  • 时间:2013.6.6
  • 页码:136-142
  • 分类:TP316.2[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术] TU249[建筑科学—建筑设计及理论]
  • 作者机构:[1]Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, People's Republic of China
  • 相关基金:This work is supported by the National Natural Science Foundation of China (Grant Nos. 61074032 and 61273040), the Project of Science and Technology Commission of Shanghai Municipality (Grant No. 10JC 1405000), and the Shanghai Rising-Star Program (Grant No. 12QA1401100).
  • 相关项目:受网络基本参量约束的时变过程网络学习控制系统研究
中文摘要:

Warehouse scheduling efficiency has to do with the length-height ratio of location(LHRL) to some extent, which hasn’t been well investigated until now. In this paper a mathematic model is built by analyzing the relation between the travel time of the stacker and LHRL. Meanwhile, warehouse scheduling strategy is studied combining with the project on the automatic production line of an enterprise, and a warehouse scheduling strategy is proposed based on index of quality(IoQ) parameters. Besides, the process of getting the value of IoQ is also simplified with the idea of sparse matrix. Finally, the IoQ scheduling strategy is compared with random strategy and First Come First Out strategy in different LHRLs. The simulation results show that the IoQ scheduling strategy not only improves the quality of the product effectively, but also improves the efficiency of the scheduling substantially.

英文摘要:

Warehouse scheduling efficiency has to do with the length-height ratio of location (LHRL) to some extent, which hasn't been well investigated until now. In this paper a mathematic model is built by analyzing the relation between the travel time of the stacker and LHRL. Mean- while, warehouse scheduling strategy is studied combining with the project on the automatic production line of an enterprise, and a warehouse scheduling strategy is pro- posed based on index of quality (IoQ) parameters. Besides, the process of getting the value of IoQ is also simplified with the idea of sparse matrix. Finally, the IoQ scheduling strategy is compared with random strategy and First Come First Out strategy in different LHRLs. The simulation results show that the IoQ scheduling strategy not only improves the quality of the product effectively, but also improves the efficiency of the scheduling substantially.

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