作业车间调度
计算机科学
自动引导车
电池(电)
工作车间
调度(生产过程)
点(几何)
非线性系统
非线性模型
数学优化
流水车间调度
嵌入式系统
数学
人工智能
功率(物理)
物理
布线(电子设计自动化)
量子力学
几何学
作者
Saeed Dehnavi-Arani,Ali Sabaghian,M.Y. Mohd Fazli
标识
DOI:10.22094/joie.2018.543203.1511
摘要
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.
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