Multi-decision points model to solve coupled-task scheduling problem with heterogeneous multi-AGV in manufacturing systems

Wang, X.; Wu, W.; Xing, Z.

Growing Science » International Journal of Industrial Engineering Computations » Multi-decision points model to solve coupled-task scheduling problem with heterogeneous multi-AGV in manufacturing systems

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print) Quarterly Publication Volume 14 Issue 1 pp. 49-64 , 2023

Multi-decision points model to solve coupled-task scheduling problem with heterogeneous multi-AGV in manufacturing systems Pages 49-64 Download PDF

Authors: Xingkai Wang, Weimin Wu, Zichao Xing

DOI: 10.5267/j.ijiec.2022.10.003

Keywords: Automated Guided Vehicles (AGVs), Coupled task scheduling problem, Multi-decision point model, Simulated annealing algorithm

Abstract: Automated guided vehicle (AGV) is widely used in automated manufacturing systems as a material handling tool. Although the task scheduling problem with isomorphic AGV has remained a very active research field through the years, too little work has been devoted to the task scheduling problems with heterogeneous AGVs. A coupled task with heterogeneous AGVs is a complex task that needs the cooperation of more than one type of AGVs. In this paper, a manufacturing system with two types of AGVs and three types of tasks is studied. To solve the coupled task scheduling problem with heterogeneous AGVs in this manufacturing system, we introduce two new methods based on the established mathematical model, namely, the decoupled scheduling strategy and coupled scheduling strategy with multi-decision model. The decoupled scheduling strategy is widely used in coupled task scheduling problems. However, there are some situations that the decoupled scheduling strategy cannot solve the problem well. To overcome the problem, the multi-decision point model solves the coupled task scheduling problem without decomposition. In order to ensure the searching speed and searching accuracy, a novel hybrid heuristic algorithm based on simulated annealing algorithm and tabu search algorithm is developed. The simulation experiment results show the proposed coupled scheduling algorithm has priority in coupled task scheduling problems.

How to cite this paper

 Wang, X., Wu, W & Xing, Z. (2023). Multi-decision points model to solve coupled-task scheduling problem with heterogeneous multi-AGV in manufacturing systems.International Journal of Industrial Engineering Computations , 14(1), 49-64.

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