Research on Scheduling Optimization of Mobile Robot Fulfillment System Considering Differentiated Power Consumption

DOI

10.2991/978-94-6239-758-3_62How to use a DOI?

Keywords

Mobile Robot Fulfillment System; Power Consumption; MIP; NSGA-II

Abstract

With the advancement of Industry 4.0 and green logistics, Robotic Mobile Fulfillment System (RMFS) has emerged as the core of intelligent warehousing. Nevertheless, most existing scheduling strategies adopt a homogeneous energy consumption pattern, which leads to severe energy waste. To solve this problem, this paper formulates a multi-objective mixed integer programming scheduling model that takes the minimum total travel distance and minimum total power consumption as optimization objectives and incorporates differentiated power consumption characteristics. An adaptive improved NSGA-II algorithm is proposed to optimize the solving performance by virtue of three-stage selection, dynamic density perception and elite retention mechanisms. Numerical experimental results demonstrate that the proposed algorithm outperforms VNS, PSO, MOEA/D and the baseline algorithm in terms of optimization objective values and stability. In an ideal operating environment, the differentiated strategy can reduce energy consumption by approximately 8.23%–25.16% compared with the conventional strategy, which effectively improves the energy efficiency and operational continuity of the system.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Zhixiong Wang
PY  - 2026
DA  - 2026/09/08
TI  - Research on Scheduling Optimization of Mobile Robot Fulfillment System Considering Differentiated Power Consumption
BT  - Proceedings of the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026)
PB  - Atlantis Press
SP  - 627
EP  - 636
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-758-3_62
DO  - 10.2991/978-94-6239-758-3_62
ID  - Wang2026
ER  -