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

Document Type: Original Manuscript

Authors

1 Department of Industrial Engineering, Yazd University, Yazd, Iran

2 Department of Management, Naragh Branch, Islamic Azad University, Naragh, Iran

3 Department of Industrial engineering, Iran University of Science and Technology, Tehran, Iran

10.22094/joie.2018.543203.1511

Abstract

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.

Graphical Abstract

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

Highlights

  • A Job Shop environment where AGVs are responsible to transfer the jobs between consideredmachines.
  • A nonlinear model to model the scheduling and location of BCS is developed.
  • The nonlinear model is transmitted to a linear model.
  • A computational experiment has been made to verify the model.

Keywords

Main Subjects


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