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双零件族随机环境下可重构制造系统的生产能力设计
Capacity design of RMS for double product families under stochastic demand
【摘要】 基于概率论、排队论与更新理论的方法,建立了双零件族随机市场需求模型与可重构制造系统的排队控制模型。以可重构制造系统的生产能力与开机数量为参数,基于重构成本、制造系统折旧成本与仓储成本,构建了平稳条件下可重构制造系统长期运行时,单位时间内所取得的平均利润优化模型,并提出了优化方法与步骤。通过求解该模型,得到了可重构制造系统的最优生产能力与最佳开机数量。基于求得的最优生产能力与最佳开机数量,给出了可重构制造系统的订单接受率与切换周期等性能指标。最后,用案例验证了所提方法的可行性。
【Abstract】 Based on probability theory,queuing theory and renewal process theory,the model of the stochastic market demand for double product families and queuing control model for Reconfigurable Manufacturing Systems(RMS)were constructed.Taking production capacity and inventory of RMS as parameters,based on the reconfiguration cost,depreciation cost and storage cost of RMS,the average profit optimization model for a unit time was established.Optimization method and steps were proposed.The optimal production capacity and inventory of RMS were obtained by solving the model.According to the optimal capacity and inventory,the performance indexes of RMS,such as Acceptance Rate of Product Order(ARPO) and Change Cycles(CC) were provided.Finally,an example was used to illustrate the feasibility of the method.
【Key words】 reconfigurable manufacturing systems; queuing theory; double product families; stochastic demand;
- 【文献出处】 计算机集成制造系统 ,Computer Integrated Manufacturing Systems , 编辑部邮箱 ,2007年01期
- 【分类号】TH165
- 【被引频次】3
- 【下载频次】238