主要研究领域包括：人工智能；机器学习；运筹优化；生产调度；智能运维；供应链调度。

成果列表：

(1) Lu Shaojun, Chen Yubei, Zheng Rui, Yan Binxiao, Liu Xinbao. Distributed maintenance task scheduling for multiple technician teams considering uncertain durations and deterioration effects towards Industry 5.0[J]. International Journal of Production Research, 2025, DOI:10.1080/00207543.2025.2461146.

(2) Lu Shaojun, Hu Chiwei, Kong Min, Amir M. Fathollahi-Fard, Maxim A. Dulebenets. Scheduling of memory chips for final testing on parallel machines considering power constraints and deteriorating effects. International Journal of Production Economics, 2024, 278,109413.

(3 Lu Shaojun, Ma Chongyao, Liu Xinbao, Panos M. Pardalos. Scheduling identical serial-batching machines in the engine manufacturing supply chain by an integrated variable neighborhood search algorithm[J]. Computers & Operations Research, 2024, 164, 106552.

(4) Lu Shaojun, Wang Yongqi, Kong Min, Wang Weizhong, Tan Weimin, Song Yingxin. A Double Deep Q-Network framework for a flexible job shop scheduling problem with dynamic job arrivals and urgent job insertions[J]. Engineering Applications of Artificial Intelligence, 2024, 133, 108487.

(5) Lu Shaojun, Ma Chongyao, Kong Min, Zhou Zhiping, Liu Xinbao. Solving a stochastic hierarchical scheduling problem by VNS-based metaheuristic with locally assisted algorithms[J]. Applied Soft Computing, 2022, 130, 109719.

(6) Lu Shaojun, Pei Jun, Liu Xinbao, Panos M. Pardalos. A hybrid DBH-VNS for high-end equipment production scheduling with machine failures and preventive maintenance activities[J]. Journal of Computational and Applied Mathematics, 2021, 384: 113195.

(7) Lu Shaojun, Pei Jun, Liu Xinbao, Qian Xiaofei, Mladenovic Nenad, Panos M. Pardalos. Less is more: variable neighborhood search for integrated production and assembly in smart manufacturing[J]. Journal of Scheduling, 2020, 23:649–664. 

(8) Lu Shaojun, Liu Xinbao, Pei Jun, Panos M. Pardalos. Permutation flowshop manufacturing cell scheduling problems with deteriorating jobs and sequence dependent setup times under dominant machines[J]. Optimization Letters, 2021,15:537–551. 

(9) Lu Shaojun, Liu Xinbao, Pei Jun, My T. Thai, Panos M. Pardalos. A hybrid ABC-TS algorithm for the unrelated parallel-batching machines scheduling problem with deteriorating jobs and maintenance activity[J]. Applied Soft Computing, 2018, 66: 168-182.

(10) Lu Shaojun, Pei Jun, Liu Xinbao, Panos M. Pardalos. Robust parallel-batching scheduling with fuzzy deteriorating processing time and variable delivery time in smart manufacturing [J]. Fuzzy Optimization and Decision Making, 2020, 19: 333–357. 

(11) Lu Shaojun, Kong Min, Zhou Zhiping, Liu Xinbao, Liu Siwen. A hybrid metaheuristic for a semiconductor production scheduling problem with deterioration effect and resource constraints. Operational Research, 2022, 22, 5405–5440.

(12) Liu Xinbao, Lu Shaojun, Pei Jun, Panos M. Pardalos. A hybrid VNS-HS algorithm for a supply chain scheduling problem with deteriorating jobs[J]. International Journal of Production Research, 2018, 56(17): 5758-5775.

(13) 陆少军,裴军,刘心报,杨善林. 考虑恶化和学习效应的多机制造系统智能优化方法[J]. 系统科学与数学, 2019, 39(10): 1597-1608.

(14) 刘心报,胡俊迎,陆少军,朱佩雅,裴军,杨善林.新一代信息技术环境下的全生命周期质量管理[J]. 管理科学学报, 2022(07):2-11.

(15) Yao Gao, Shaojun Lu, Sheng Zhan, Chaoming Hu, Xinbao Liu. Closed-loop supply chain network design with price-greenness-sensitive demand: A distributionally robust chance-constrained optimization approach. Computers & Operations Research, 2024, 172, 106803.

(16) Xinyue Wang, Shaojun Lu, Xiaofei Qian, Chaoming Hu, Xinbao Liu. Dynamic scheduling of decentralized high-end equipment R&D projects via deep reinforcement learning[J]. Computers & Industrial Engineering, 2024, 110018.

(17) Ting Zhao, Shaojun Lu, Hao Cheng, Mingyu Ren, Xinbao Liu. Coordinated production and delivery scheduling for service-oriented manufacturing systems with deterioration effect. International Journal of Production Research, 2023, DOI:10.1080/00207543.2023.2217284.

(18) Yao Gao, Shaojun Lu, Hao Cheng, Xinbao Liu. Data-driven robust optimization of dual-channel closed-loop supply chain network design considering uncertain demand and carbon cap-and-trade policy. Computers & Industrial Engineering, 2024, 187, 109811.

(19) Tao Jiang, Shaojun Lu, Mingyu Ren, Hao Cheng, Xinbao Liu. Modified benders decomposition and metaheuristics for multi-machine parallel-batch scheduling and resource allocation under deterioration effect, Computers & Industrial Engineering, 2023, 176, 108977.

(20) Baoyu Liao, Shaojun Lu, Tao Jiang & Xing Zhu. A variable neighborhood search and mixed-integer programming models for a distributed maintenance service network scheduling problem[J]. International Journal of Production Research, 2022, DOI: 10.1080/00207543.2022.2138612.

(21) Ting Zhao, Shaojun Lu, Min Kong, Hao Cheng, Xinbao Liu. Green scheduling of packaging in the global logistics distribution centre with a dominant job and deterioration effects[J]. International Journal of Logistics Research and Applications, 2022, DOI:10.1080/13675567.2022.2136365.

(22) Chaoming Hu, Shaojun Lu, Min Kong, Xinbao Liu, Panos M. Pardalos. Parallel machine scheduling with linearly increasing energy consumption cost [J]. Annals of Mathematics and Artifcial Intelligence, 91, 2023:239–258.

(23) Peng Wang, Shaojun Lu, Hao Cheng, Lin Liu, Feng Pei. Preemptive multi-skill resource-constrained project scheduling of marine power equipment maintenance tasks 1. Journal of Intelligent & Fuzzy Systems, 44(3), 2023:5275-5294.

(24) Chaoming Hu, Rui Zheng, Shaojun Lu, Xinbao Liu. Parallel machine scheduling with position-dependent processing times and deteriorating maintenance activities. Journal of Global Optimization, 2024, DOI:10.1007/s10898-024-01411-2.

(25) Chaoming Hu, Rui Zheng, Shaojun Lu, Xinbao Liu, Hao Cheng. Integrated optimization of production scheduling and maintenance planning with dynamic job arrivals and mold constraints. Computers & Industrial Engineering, 2023, 186, 109708.

(26) Longqing Cui, Xinbao Liu, Shaojun Lu, Zhaoli Jia. A variable neighborhood search approach for the resource-constrained multi-project collaborative scheduling problem [J]. Applied Soft Computing, 2021, 107: 107480.

(27) 陆少军,崔龙庆,赵婷,江涛,刘心报,杨善林.面向高端装备制造协同优化的人工智能方法研究综述与展望[J].计算机集成制造系统,2022,28(07):1940-1952.

(28) Kong Min, Xu Jin, Zhang Tinglong, Lu Shaojun, Fang Chang, Mladenovic Nenad. Energy-Efficient Rescheduling with Time-of-Use Energy Cost: Application of Variable Neighborhood Search Algorithm [J]. Computers & Industrial Engineering, 2021, 107286.

(29) Zhu Peiya, Qian Xiaofei, Liu Xinbao, Lu Shaojun, Panos M. Pardalos. Optimal pricing and supply strategy for vertically integrated manufacturers with customer preference and market spillover. Computers & Industrial Engineering, 2023, 178, 109141.

(30) Pei Jun, Liu Xinbao, Fan Wenjuan, Panos M. Pardalos, Lu Shaojun. A hybrid BA-VNS algorithm for coordinated serial-batching scheduling with deteriorating jobs, financial budget, and resource constraint in multiple manufacturers[J]. Omega, 2019, 82: 55-69.

(31) Liao Baoyu, Pei Jun, Yang Shanlin, Panos M. Pardalos, Lu Shaojun. Single-Machine and Parallel-Machine Parallel-Batching Scheduling Considering Deteriorating Jobs, Various Group, and Time-Dependent Setup Time[J]. Informatica, 2018, 29(2): 281-301.

(32) Kong Min, Zhang Yajing, Xu Jin, Wang Weizhong, Lu Shaojun, Amir M. Fathollahi-Fard. A green scheduling model for two-stage photo-etching and acid-etching collaboration in semiconductor manufacturing[J]. Journal of Industrial Information Integration, 2024, 41, 100655.

(33) Pei Jun, Fan Wenjuan., Liu Xinbao, Zhang Qiang, Kong Min, Lu Shaojun. Scheduling method and system based on hybrid variable neighborhood search and gravitational search algorithm: U.S. Patent Application 16/127,337[P]. 2019-3-14.

(34) Liu Xinbao, Pei Jun, Kong Min, Lu Shaojun, Qian Xiaofei., Zhou Zhipin. Method and system for scheduling parallel processing machines based on hybrid shuffled frog leaping algorithm and variable neighborhood search algorithm: U.S. Patent Application 15/958,932[P]. 2018-12-13.

(35) 陆少军,马崇轺,刘心报,郑锐,江涛,赵婷. 基于VNS的高端装备制造鲁棒性调度方法和装置[P]. 安徽：ZL202210195558.4, 2022-05-24.

(36) 陆少军,马崇轺,刘心报,程浩,崔龙庆,胡朝明,江涛,赵婷. 基于混合并行遗传和变邻域算法的生产调度方法和系统[P].安徽: ZL202110812014.3,2021-07-19.

(37) 陆少军,马崇轺,郑锐,崔龙庆,胡朝明,江涛,赵婷.一种基于动态规划和vns的装备供应链调度方法和系统[P].安徽省: ZL202310736259.1,2023-08-22.（授权）

(38) 陆少军,赵婷,刘心报,钱晓飞,程浩,裴凤,刘林. 考虑支配工件和最小化能源消耗的智能协同调度方法及系统[P]. 安徽：ZL202110533161.7,2022-09-30.

(39) 陆少军,王永奇,胡朝明,马崇轺,张栩涓,胡池伟.一种基于深度强化学习的生产调度方法[P].安徽省:ZL202410372309.7,2024-05-03.

(40) 裴军,刘心报,范雯娟,孔敏,宋庆儒,陆少军,魏占慧,钱晓飞. 基于改进变邻域搜索算法的生产调度方法及系统[P]. 安徽：CN107730065A,2018-02-23.

(41) 裴军,宋庆儒,刘心报,陆少军,张强,范雯娟. 基于改进变邻域搜索和差分进化算法的调度方法及系统[P]. 安徽：CN107590603A,2018-01-16.

(42) 裴军,范雯娟,刘心报,张强,孔敏,陆少军. 基于变邻域搜索和引力搜索混合算法的调度方法及系统[P]. 安徽：CN107578178A,2018-01-12.

(43) 刘心报,裴军,薛梅,陆少军,程浩,孔敏,周志平,蒋露. 基于改进粒子群算法供应链生产运输协同调度方法及系统[P]. 安徽：CN107506956A,2017-12-22.

(44) 刘心报,裴军,陆少军,孔敏,钱晓飞,周志平. 基于改进人工蜂群算法的生产调度方法及系统[P]. 安徽：CN107450498A,2017-12-08.

(45) 裴军,刘心报,范雯娟,陆少军. 基于改进引力搜索算法的生产运输协同调度方法及系统[P]. 安徽：CN107437138A,2017-12-05.

(46) 裴军,宋庆儒,刘心报,陆少军,张强,范雯娟,孔敏. 基于改进禁忌搜索算法的生产运输协同调度方法及系统[P]. 安徽：CN107392402A,2017-11-24.

(47) 刘心报,裴军,蒋露,陆少军,孔敏,钱晓飞,周志平,薛梅. 基于改进遗传算法的同类平行机批调度方法及系统[P]. 安徽：CN107301473A,2017-10-27.

(48) 刘心报,裴军,孔敏,魏占慧,陆少军,宋庆儒,钱晓飞. 基于混合蛙跳—路径重连的生产运输协同调度方法和系统[P]. 安徽：CN107301504A,2017-10-27.

(49) 刘心报,裴军,陆少军,刘林,周谧,程浩,孔敏,周志平. 基于改进和声搜索的生产和运输协同调度方法和系统[P]. 安徽：CN107230023A,2017-10-03.

(50) 刘心报,裴军,孔敏,陆少军,钱晓飞,周志平. 基于混合集合蛙跳与变邻域算法的平行机调度方法及系统[P]. 安徽：CN107102552A,2017-08-29.