Machines and AGVs Scheduling in Flexible Manufacturing System With Mean Tardiness Criterion

M. Nageswararao, K. Narayanarao, G. Ranagajanardhana
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引用次数: 11

Abstract

Optimum Automated Guided Vehicles (AGVs) operation plays a crucial role in improving the performance of Flexible Manufacturing System (FMS). One of the main elements in the implementation of AGV is task scheduling. This will enhance the productivity, Minimize delivery cost and optimally utilize the entire fleet. This enhance article Deals with Hybrid Genetic Vehicle Heuristic Algorithm (HGVHA) for simultaneous Scheduling of machines and AGVs adopting minimization of makespan and minimization of mean tardiness. The method is found to provide better solution.
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基于平均延迟准则的柔性制造系统机械与agv调度
自动导引车(agv)的优化运行对于提高柔性制造系统(FMS)的性能起着至关重要的作用。在AGV的实现中,任务调度是一个重要的组成部分。这将提高生产效率,最大限度地降低交货成本,并充分利用整个车队。本文采用最大完工时间最小化和平均延迟最小化的方法,研究了混合遗传车辆启发式算法(HGVHA)在机器和agv同时调度中的应用。该方法是一种较好的解决方法。
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