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为解决巡回式Chaku-Chaku生产线员工数量确定及产能计算问题,对Chaku-Chaku型双资源约束制造系统进行了研究,提出了指派员工数量的计算方法和生产线产能计算方法。建立了基于面向对象Petri网逻辑模型并形式化定义了Chaku-Chaku规则,通过仿真方法确认生产线稳态后系统的空间及物理层面特征,采用数值分析方法分析了同质员工与异质员工两种情况下生产系统的特性,确定了员工在生产线中的等待时间计算方法及产能计算方法。最后通过案例和仿真验证了计算方法的有效性,为企业应用该生产线提供了重要指导作用。 相似文献
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针对工业生产线上微电子产品整机消费微电流的快速、批量测试问题,依据工业生产线对产能与可操作性的要求,介绍了一种基于NI公司的LabVIEW软件平台快速搭建测试系统的方案.给出了整机微电流测试方法和测试电路,并对比电路原理模型,重点介绍了相应测试程序中电流计算参数的确定方法和步骤以及最后修正的具体方法.实际应用表明,测试系统运行良好、测量计算方法操作简单,能满足工业生产要求. 相似文献
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为满足半导体生产线建模与仿真在仿真性能、仿真真实性等方面的较高要求,基于Simul8复杂系统仿真软件对半导体硅片制造生产线进行建模和仿真的过程中,提出了非动态加工区和动态加工区的分类的思想,探讨了各自基于Simul8的实现方法,同时分析并有效解决了工序加工时间和运输时间的统计计算问题。仿真应用表明,提出的方法在增强半导体生产线仿真真实性的同时,也有效改进了仿真的性能。 相似文献
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含有并行机器组的串行短生产线的性能分析 总被引:1,自引:0,他引:1
文中主要研究含有并行机器组的串行短生产线的生产性能,此生产线含有一个并行机器组及其上下游缓冲区.由概率守恒原理推导出短生产线的概率平衡方程,求得到短生产线的稳态概率,由此计算串行短生产线的性能指标:平均生产率和平均在制品数量.在Matlab平台下分析系统平均生产率与部分系统参数之间的关系.同时,建立短生产线的Petri网模型,采用事件调度法对短生产线进行仿真,将数值结果与仿真结果进行对比分析,说明文中以机器为中心的分析方法的有效性. 相似文献
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CONWIP(Constant Work in Process)是一种基于拉式(pull)控制物料投放的方法。最初应用于Flow Shop式生产系统,通过限制半成品数量以控制生产线运作提供可靠的制造周期。然而,原始的CONWIP方法不能适应半导体这类同一加工站多重人的生产系统。该文根据半导体生产线多重人的特性,提出与多重人瓶颈相结合的CONWIP投放方法,不仅控制生产线中的半成品数量,并且结合了TOC(Theory of Constraints)思想,从而提高生产线的性能。最后,通过一些仿真证明了方法的有效性。 相似文献
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汽车装配线的可视化仿真研究 总被引:3,自引:0,他引:3
由于装配系统仿真对象复杂以及传统仿真方法难以建立装配系统的仿真模型,因此该文提出运用面向对象的理论建立汽车装配线的可视化虚拟仿真系统.文中详细论述了实现该仿真系统的关键技术和流程,接着根据离散事件系统的特点介绍了装配仿真系统的仿真策略,最后以某汽车总装车间为例建立了装配线的可视化虚拟仿真系统.通过可视化仿真实现了车间的布局设计和生产过程的动态仿真,并依据仿真结果确定生产线的技术参数以决策生产. 相似文献
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研究了制造系统串行生产线生产控制和生产能力规划的集成优化方法。给出了串行生产线最优生产控制及生产能力规划问题的数学模型,通过粒子群优化算法来求解这一模型,通过Matlab进行了仿真,并对仿真结果进行了分析。 相似文献
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核电厂全范围模拟机电气系统数量众多导致仿真计算量巨大,设计参数的缺失影响仿真精度,系统数据接口之间的数值传输需要实时准确.为提高仿真计算效率、精度和保证实时数据传递,阐述了系统仿真策略和参数分类存取方法;基于电动机、静态负荷及低压开关模型和仿真,重点讨论了模块参数的反算功能和接口数据实时传递原理.以某1000 MW核电厂电动机及电气系统主接线为例,对仿真模型和方法进行了分析和验证.仿真结果证明:采用电气系统仿真策略和仿真方法,有效减少了全范围模拟的电气系统数量,对设备参数进行分类存取,提高了仿真计算效率;关键模型参数的自动反算和系统设备接口数据的及时准确传输,保证了计算的简洁性和数据传输的实时性;同时模型的仿真精度满足设计要求.仿真模型方法及开发工具在核电厂模拟机电气系统建模与仿真中具有广泛的适用性. 相似文献
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对不同规模,不同要求的问题进行并行计算,应选用不同数量的处理器参与计算才能获得最佳的并行处理性能。本文以连续系统并行仿真为例,提出适合于并行仿真系统的我处理器数确定的方法。 相似文献
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《Expert systems with applications》2014,41(2):723-734
This paper develops a reliability-based decision making procedure for production systems to (i) evaluate the system reliability and (ii) determine the reliable production policy. The production system is represented as a capacitated production network (CPN) for system reliability evaluation, in which the system reliability is defined as the probability of demand satisfaction. The decision making to determine a reliable production policy is based on the derived system reliability. Two layouts are considered in this paper: the first layout is for the CPN with parallel lines; while the second layout is for the CPN with joint lines. Transformation and decomposition techniques are proposed to generate all minimal capacity vectors that workstations should provide to satisfy demand. In terms of the minimal capacity vectors, the system reliability is derived by applying the recursive sum of disjoint products (RSDP) algorithm. A case study in the context of footwear production system is utilized to demonstrate the decision making procedure. 相似文献
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本文讨论了化工过程仿真培训系统中的换热器的动态模型,着重比较了两种稳态模拟与动态补偿相结合的仿真算法-基于平均传热温差和基于传热单元数的仿真算法。分析了基于平均传热温差的仿真算法存在的问题,讨论了基于传热单元数的仿真算法中有关参数的确定方法,最后给出仿真实例。 相似文献
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基于绝对信息量的覆盖增量约简算法 总被引:1,自引:0,他引:1
在保持覆盖上下近似算子不变的情况下,探讨覆盖约简算法。通过定义绝对信息量和信息量,引入相邻矩阵等概念,提出基于绝对信息量的覆盖增量约简算法。实例表明,该方法是一种能够去除覆盖中绝对冗余知识的有效方法。 相似文献
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Recently, ubiquitous manufacturing has attracted wide attention in both academia and industry. To create a successful ubiquitous manufacturing system, an efficient material handling system is essential. In accordance with this reason, mobile robots have been used for transporting materials. This paper aims at developing a methodology for scheduling the material supply for a single mobile robot in a ubiquitous manufacturing environment. In this type of environment, the processing rate of the materials along with supply quantity corresponds to the cycle of material supply. The carrying capacity of the robots are limited and thus the problem of determining the material supply quantity and material supply schedule without lack of materials for production or service processes becomes complicated. In this work, a nonlinear program is formulated to schedule the supply of material and determine the required material quantity. A heuristic algorithm based on genetic algorithm is developed to solve the problem. From the numerical experiments conducted in this study, it is observed that the proposed algorithm shows good performance and can also be implemented to solve large scale problems. 相似文献
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Xianhui Zeng Wai-Keung Wong Sunney Yung-Sun Leung 《Computers & Operations Research》2012,39(5):1145-1159
This paper investigates the operator allocation problems (OAP) with jobs sharing and operator revisiting for balance control of a complicated hybrid assembly line which appears in the apparel sewing manufacturing system. Multiple objectives and constraints for the problem are formulated. The utility function is employed to deal with the difficulty of combining several conflicting and incommensurable objectives into one overall measure. An optimization model combining the Pareto utility discrete differential evolution (PUDDE) algorithm and the embedded discrete event simulation (DES) model is proposed to solve the OAPs. The PUDDE algorithm is an improved discrete differential evolution approach used with the Pareto utility selection strategy, which extends the real-value differential evolution to handle the discrete-value vector by introducing two modified operators, namely the subtraction and addition operators. During the optimization process, the embedded DES model is used to evaluate the performance objectives by analyzing the dynamic behaviors of the hybrid assembly lines, which tackles the problem of having no closed-form mathematical expressions for the evaluation of performance objectives owing to the existence of jobs sharing and operator revisiting. Extensive experiments are conducted to validate the proposed optimization model. The experimental results demonstrate that the proposed PUDDE-based optimization model can effectively solve the OAPs for the hybrid assembly lines with the consideration of jobs sharing and operator revisiting. It was also found that the proposed PUDDE algorithm evidently outperforms the general differential evolution algorithm. Compared with the collected industrial results, the solution generated by the proposed optimization model has much better performance objectives for the hybrid assembly lines. 相似文献
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董鹏 《计算机工程与应用》2008,44(30):47-49
在结合贪婪算法的混合遗传算法中,将基于轮盘赌的选择算子改为稳态复制的选择算子,形成的新的混合遗传算法能显著加快收敛。文中也给出了结束迭代的两个判定条件。通过对三个实例的大量仿真实验,研究了交叉概率、种群数量和替换率对算法性能的影响。实验结果表明这一新算法收敛速度快,寻优能力强,更适合于求解大规模0/1背包问题。 相似文献
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针对定制型装备制造企业智能车间中物料搬运系统的AGV数量配置问题,以最小化AGV投资成本为目标,建立具有系统产能和订单交货期双重约束的优化模型。由于该优化问题是一个随机非线性的整数规划问题,且约束条件无法用决策变量的封闭形式表示,提出一种基于排队网求解性能指标值的禁忌搜索算法求解该问题。基于马尔可夫理论,提出拓展的状态空间分解法求解具有随机批量搬运特征的排队系统性能指标值。提出一种嵌入排队网模型的优化算法求解AGV数量配置的优化方案。通过算例求解与仿真对比验证所提方法的有效性和精确性,并分析案例确定优化的配置方案。 相似文献