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A Job Shop Scheduling and Location of Battery Charging Storage for the Automated Guided Vehicles (AGVs)

机译:自动导引车(AGV)的车间调度和电池充电存储位置

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When the Automated Guided Vehicles (AGVs) are transferring the parts from one machine to another in a job shop environment, it is possible that AGVsstopon their guidepaths since their batteries are discharged.Consequently, it is essential to establish at least one Battery Charging Storage (BCS) to replace full batteries with empty batteries for the stopped AGVs. Due to non-predictable routes for AGVs in the manufacturing systems, to find the best place toestablish the BCS can impact performance of the system. In this paper, anintegrated mathematical modelof job shop and AGV schedulingwith respect tothe location of a BCS is proposed. The proposed nonlinear model is transformed into a linear form to beefficiently solvedin GAMS software. Finally, several numerical examplesare presented to test the validity of the proposed mathematical model.The results show that the optimal cost and location of BCS can be obtained with respect to the number of AGVs, machines, parts, and other problem parameters. In addition, it is concluded that the increasing number of AGVs in a manufacturing systemcannot be always a suitable policy for reducing the cost because in such conditions.Further to that, the conflict of AGVs may increase leading tothe increase of the makespan. In other words, following the optimal point, increasing AGVs leads to the increase in costs.
机译:当自动引导车辆(AGV)在车间环境中将零件从一台机器转移到另一台机器时,由于AGV的电池已放电,因此AGV可能会停止其引导路径,因此,必须建立至少一个电池充电存储( BCS),以用空电池替换已停下的AGV的完整电池。由于制造系统中AGV的路线不可预测,因此找到建立BCS的最佳位置会影响系统的性能。针对BCS的位置,提出了车间作业和AGV调度的集成数学模型。将提出的非线性模型转换为线性形式,以便在GAMS软件中有效求解。最后,通过数值算例验证了所提数学模型的有效性。结果表明,相对于AGV的数量,机器,零件和其他问题参数,BCS的最优成本和位置可以得到。此外,可以得出结论,在这样的条件下,制造系统中增加AGV的数量并不总是一种降低成本的合适策略。此外,AGV的冲突可能会增加,从而导致工期增加。换句话说,遵循最佳点,增加AGV会导致成本增加。

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