Energy-efficient path planning for a multi-load automated guided vehicle executing multiple transport tasks in a manufacturing workshop environment

Author:

Zhang Zhongwei,Wu Lihui,Zhang Boqiang,Jia Shun,Liu Weipeng,Peng Tao

Funder

National Natural Science Foundation of China

Joint fund of Henan Science and Technology Research and Development Plan

Foundation of the Education Department of Henan Province

Henan Key Laboratory of Superhard Abrasives and Grinding Equipment

Publisher

Springer Science and Business Media LLC

Reference41 articles.

1. Angra S, Chanda AK, Chawla VK (2018) Comparison and evaluation of job selection dispatching rules for integrated scheduling of multi-load automatic guided vehicles serving in variable sized flexible manufacturing system layouts: a simulation study. Manag Sci Lett 8:187–200. https://doi.org/10.5267/j.msl.2018.3.002

2. Azimi P, Haleh H, Alidoost M (2010) The selection of the best control rule for a multiple-load AGV system using simulation and fuzzy MADM in a flexible manufacturing system. Model Simul Eng 2010:821701. https://doi.org/10.1155/2010/821701

3. Azimi P, Ghanbari M, Yarmohammadi S (2012) Optimization a multi-objective and multiple-load AGV system using optimization via simulation approach. Int Bull Bus Adm 13:97–108. https://www.researchgate.net/profile/Parham-Azimi/publication/280598116_Optimization_a_Multi-Objective_and_Multiple-Load_AGV_System_using_Optimization_via_Simulation_Approach/links/55bcafc008aed621de0f2915/Optimization-10.1007/s11356-024-32824-xa-Multi-Objective-and-Multiple-Load-AGV-System-using-Optimization-via-Simulation-Approach.pdf

4. Chawla VK, Chanda AK, Angra S, Rani S (2018) Simultaneous dispatching and scheduling of multi-load AGVs in FMS-A simulation study. Mater Today: Proc 5(11, Part 3):25358–25367. https://doi.org/10.1016/j.matpr.2018.10.339

5. Chen C, Xi L-f, Zhou B-h, Zhou S-s (2011) A multiple-criteria real-time scheduling approach for multiple-load carriers subject to LIFO loading constraints. Int J Prod Res 49(16):4787–4806. https://doi.org/10.1080/00207543.2010.510486

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