Novel Implementation of Multiple Automated Ground Vehicles Traffic Real Time Control Algorithm for Warehouse Operations: Djikstra Approach

Abstract

Automated Guided Vehicle (AGV) systems have benefited numerous industrial warehouses in the transportation of components, parts, and raw materials. Although the AGV systems have offered great flexibility, the implementation of AGV systems imposes major challenges in the management of traffic between multiple ground vehicles inside the warehouse. An AGV traffic control system in conjunction with an anticollision path planning algorithm presents efficiencies for transferring parts in the warehouse operations. This paper evaluates several path planning algorithms and traffic control algorithms that can be implemented with multiple ground vehicles. The application of the Dijkstra approach is proposed as the most efficient traffic control algorithm and path planning algorithm with the implementation of the anticollision algorithm. The suggested algorithm is simulated using MATLAB software to check its rationality and performances under a real-life scenario and for comparison with the alternatives. The traffic control algorithm for multiple AGV systems has been performed in a dynamic environment and a time-based simulation and calculations have been used to optimize the velocity profile for each AGV. The finding from this paper presents timely and valuable insights into smart warehouses and logistics phenomenon, as a potential mechanism for optimizing material handling in warehouse management to be more efficient and collision-free through the use of modern technologies such as AGV systems and Industry 4.0 integration.

Logistics Optimization Strategy Based on Deep Neural Framework

“…The literature [ 21 ] proposes a trajectory data warehouse to integrate and store all logistics trajectory data into a specified information warehouse with correct labels, which corresponds to the product information in the supply chain object database. To rationalize the layout of the vehicle carrying capacity and product inventory in logistics transportation, literature [ 22 ] proposes an automatic guided vehicle system, which can operate between different product warehouses with route planning algorithms and traffic control systems, making the efficient in guided vehicle product transportation greatly improved, and also improving the rate of warehouse product receipt and delivery and the rate of warehouse material movement, solving the problem of logistics planning due to rationalize the layout of the vehicle carrying capacity and product inventory in logistics transportation. The literature [ 23 ] proposes an automatic guided vehicle system, which can operate between different product warehouses with route planning algorithms and traffic control systems, making the efficiency in guided vehicle product transportation greatly improved.…”

A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding

“…To use for vehicle global planning and the Time Elastic Bands used for vehicle local planning Algorithm success to update the local path and useful when a dynamic obstacle suddenly appears in front of the vehicle Fusic et al [91] Improved Dijkstra To use for finding an appropriate path for reaching the destination by mobile robot Modified Dijkstra success to increase velocity performance and also the distance travelled between any two given points in the environment is kept to a minimum Kim et al [92] Improved Dijkstra To find optimal path planning under dynamic conditions by AGV Success to achieve minimization of AGV's energy consumption, reflecting AGV's tractive forces under dynamic conditions Sun et al [93] Improved Dijkstra Use for AGV Path optimization and path planning Proposed algorithm is finds shorter path, less turning angle. This indicate that the improved algorithm is correct, feasible, effective and has a strong global search ability successfully Dharmasiri et al [94] Dijkstra…”

Determination of the Optimal Number of Forklifts in the Distribution Center Using the Queuing Network Model

“…Beker et al (2012) researched the shortest path algorithms for forklifts routing optimization, which leads to reduction of work in the warehouse. Dharmasiri et al (2020) evaluated several algorithms for path planning and traffic control of mobile equipment in a warehouse and developed a multiple automated ground vehicles traffic real time control algorithm for warehouse operations using the Djikstra approach, which provides collision avoidance between them.…”