系统仿真学报 ›› 2015, Vol. 27 ›› Issue (7): 1458-1467.

• 仿真建模与仿真算法及数值仿真 • 上一篇    下一篇

基于eM_plant的作业车间生产批量优化研究

裴小兵, 谭林林   

  1. 天津理工大学 管理学院,天津 300384
  • 收稿日期:2014-06-30 修回日期:2014-09-17 出版日期:2015-07-08 发布日期:2020-07-31
  • 作者简介:裴小兵(1965-),男,内蒙古呼和浩特人,蒙古族,博士,副教授,研究方向为精益生产、企业创新与管理;谭林林(1990-),女,山东济宁人,硕士生,研究方向为精益生产。

Research on Optimizing Lot Sizing of Job Shop Based on eM_plant

Pei Xiaobing, Tan Linlin   

  1. College of Management, Tianjin University of Technology, Tianjin 300384, China
  • Received:2014-06-30 Revised:2014-09-17 Online:2015-07-08 Published:2020-07-31

摘要: 为解决作业车间生产批量优化问题,在考虑企业资金收益率最大化的情况下以生产过程时间最短为优化目标,给出了理想条件下关于生产批量的生产过程时间模型,并据此推导出求解理论最优生产批量的算式。针对数学建模理想化假设的局限性,借助eM_plant仿真软件对作业车间实际生产运作情况进行仿真建模,并根据生产批量优化策略对仿真模型进行优化。通过运行优化后的仿真模型修正理论最优生产批量,从而提高最优解的可行性。经实例验证,求得的生产批量能够有效缩短生产过程时间,表明了该模型及仿真优化方法的有效性。

关键词: 生产批量优化, 生产过程时间, eM_plant仿真, 作业车间

Abstract: Considering maximizing the rate of account and choosing production process time as the optimization objectives to solve the lot sizing optimization problems of job shop, the model about production time under ideal conditions was established, and accordingly the formula of solving theoretical optimal lot sizing was derived. To compensate for the limitations of mathematical modeling and improve the feasibility of the optimal solution, the actual manufacturing operations in job shop was simulated and optimized according to production batch simulation optimization strategy by eM_plant software. By running the simulation model the theoretical optimal solution was amended, to make optimal solution more feasibility. Through solving the job shop production instance, the optimal solution could shorten the production process time effectively. Experimental results verify the effectiveness of this model and simulation optimization.

Key words: optimization of lot sizing, production process time, simulation by eM_plant, job shop

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