2,010
Views
31
CrossRef citations to date
0
Altmetric
Research Article

Joint optimisation for dynamic flexible job-shop scheduling problem with transportation time and resource constraints

, , &
Pages 5675-5696 | Received 16 Nov 2020, Accepted 09 Aug 2021, Published online: 30 Aug 2021

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (7)

Haihua Zhu, Jianjie Wang, Changchun Liu, Wei Shi & Qixiang Cai. (2024) An MBD-driven order remaining completion time prediction method based on SSA-BiLSTM in the IoT-enabled manufacturing workshop. International Journal of Production Research 62:10, pages 3559-3584.
Read now
Amir Ahmadi-Javid, Maryam Haghi & Pedram Hooshangi-Tabrizi. (2024) Integrated job-shop scheduling in an FMS with heterogeneous transporters: MILP formulation, constraint programming, and branch-and-bound. International Journal of Production Research 62:9, pages 3288-3304.
Read now
Yumin He & Milton L. Smith. (2024) Investigation of scheduling integration of flexible manufacturing systems for mass customisation. International Journal of Production Research 62:6, pages 2060-2082.
Read now
Jingyuan Lei, Jizhuang Hui, Fengtian Chang, Salim Dassari & Kai Ding. (2023) Reinforcement learning-based dynamic production-logistics-integrated tasks allocation in smart factories. International Journal of Production Research 61:13, pages 4419-4436.
Read now
Lei Cai, Wenfeng Li, Yun Luo & Lijun He. (2023) Real-time scheduling simulation optimisation of job shop in a production-logistics collaborative environment. International Journal of Production Research 61:5, pages 1373-1393.
Read now
Renke Liu, Rajesh Piplani & Carlos Toro. (2022) Deep reinforcement learning for dynamic scheduling of a flexible job shop. International Journal of Production Research 60:13, pages 4049-4069.
Read now
Xiaohan Wang, Lin Zhang, Lihui Wang, Xi Vincent Wang & Yongkui Liu. Federated deep reinforcement learning for dynamic job scheduling in cloud-edge collaborative manufacturing systems. International Journal of Production Research 0:0, pages 1-20.
Read now

Articles from other publishers (24)

Bohan Zhang, Ada Che & Yusheng Wang. (2024) Grid-based artificial bee colony algorithm for multi-objective job shop scheduling with manual loading and unloading tasks. Expert Systems with Applications 245, pages 123011.
Crossref
Shupeng Wei, Hongtao Tang, Xixing Li, Deming Lei & Xi Vincent Wang. (2024) An improved memetic algorithm for multi-objective resource-constrained flexible job shop inverse scheduling problem: An application for machining workshop. Journal of Manufacturing Systems 74, pages 264-290.
Crossref
Chengshuai Fan, Wentao Wang & Jun Tian. (2024) Flexible job shop scheduling with stochastic machine breakdowns by an improved tuna swarm optimization algorithm. Journal of Manufacturing Systems 74, pages 180-197.
Crossref
Jiaojiao Liu, Baofeng Sun, Gendao Li & Yuqi Chen. (2024) Multi-objective adaptive large neighbourhood search algorithm for dynamic flexible job shop schedule problem with transportation resource. Engineering Applications of Artificial Intelligence 132, pages 107917.
Crossref
Amir Hosseini, Alena Otto & Erwin Pesch. (2024) Scheduling in manufacturing with transportation: Classification and solution techniques. European Journal of Operational Research 315:3, pages 821-843.
Crossref
Xixing Li, Qingqing Zhao, Hongtao Tang, Siqin Yang, Deming Lei & XiVincent Wang. (2024) Joint scheduling optimisation method for the machining and heat-treatment of hydraulic cylinders based on improved multi-objective migrating birds optimisation. Journal of Manufacturing Systems 73, pages 170-191.
Crossref
Shu-Lian Xie, Feng Xue, Wei-Min Zhang, Jia-Wei Zhu & Zi-Wei Jia. (2024) Multi-factor integrated configuration model and three-layer hybrid optimization algorithm framework: turnkey project-oriented rapid manufacturing system configuration. Advances in Manufacturing.
Crossref
Hongtao Tang, Yu Xiao, Wei Zhang, Deming Lei, Jing Wang & Tao Xu. (2024) A DQL-NSGA-III algorithm for solving the flexible job shop dynamic scheduling problem. Expert Systems with Applications 237, pages 121723.
Crossref
Nan Zhu, Guiliang Gong, Dian Lu, Dan Huang, Ningtao Peng & Hao Qi. (2024) An effective reformative memetic algorithm for distributed flexible job-shop scheduling problem with order cancellation. Expert Systems with Applications 237, pages 121205.
Crossref
Yi Cheng, Zhijun Xie, Yu Xin, Kewei Chen & Roozbeh Zarei. (2024) Flexible Job Shop Scheduling Method for Optimizing Mold Resource Setup Time. IEEE Access 12, pages 33486-33503.
Crossref
Zixiao Pan, Ling Wang, Jie Zheng, Jing-Fang Chen & Xing Wang. (2023) A Learning-Based Multipopulation Evolutionary Optimization for Flexible Job Shop Scheduling Problem With Finite Transportation Resources. IEEE Transactions on Evolutionary Computation 27:6, pages 1590-1603.
Crossref
Minghai Yuan, Liang Zheng, Hanyu Huang, Kaiwen Zhou, Fengque Pei & Wenbin Gu. (2023) Research on flexible job shop scheduling problem with AGV using double DQN. Journal of Intelligent Manufacturing.
Crossref
Sihoon Moon, Sanghoon Lee & Kyung-Joon Park. (2023) Graph-based Reinforcement Learning for Flexible Job Shop Scheduling with Transportation Constraints. Graph-based Reinforcement Learning for Flexible Job Shop Scheduling with Transportation Constraints.
Lixiang Zhang, Yan Yan & Yaoguang Hu. (2023) Deep reinforcement learning for dynamic scheduling of energy-efficient automated guided vehicles. Journal of Intelligent Manufacturing.
Crossref
Zhengchao Liu, Liuyang Xu, Chunrong Pan, Xiangdong Gao, Wenqing Xiong, Hongtao Tang & Deming Lei. (2023) A Low-Carbon Scheduling Method of Flexible Manufacturing and Crane Transportation Considering Multi-State Collaborative Configuration Based on Hybrid Differential Evolution. Processes 11:9, pages 2737.
Crossref
Chupeng Su, Cong Zhang, Dan Xia, Baoan Han, Chuang Wang, Gang Chen & Longhan Xie. (2023) Evolution strategies-based optimized graph reinforcement learning for solving dynamic job shop scheduling problem. Applied Soft Computing 145, pages 110596.
Crossref
Zohreh Shakeri, Nourhan Halawi-Ghoson, Nisar Hakam, Esma Talhi, Anthony Quenehen & Khaled Benfriha. (2023) Intelligent scheduling in MES systems for Industry 4.0 - a systematic review of the scientific literature. Intelligent scheduling in MES systems for Industry 4.0 - a systematic review of the scientific literature.
XiaoLong Li, Yang Liu, Jiao Yu & Wei Sun. (2023) An Improved Dynamic NSGA-II for Unrelated Parallel Machine Rescheduling under Machine Breakdowns. An Improved Dynamic NSGA-II for Unrelated Parallel Machine Rescheduling under Machine Breakdowns.
Tao Xu, Kai Xu, Jiangming Zhang, Sijie Yang & Junjie Huang. (2023) Quality Inspection Scheduling Problem Based on Reinforcement Learning Environment. Quality Inspection Scheduling Problem Based on Reinforcement Learning Environment.
Wenyu Zhang, Jiuhong Xiao, Weishu Liu, Yongfeng Sui, Yongfeng Li & Shuai Zhang. (2023) Individualized requirement-driven multi-task scheduling in cloud manufacturing using an extended multifactorial evolutionary algorithm. Computers & Industrial Engineering 179, pages 109178.
Crossref
Che Han Lim & Seung Ki Moon. (2023) A Two-Phase Iterative Mathematical Programming-Based Heuristic for a Flexible Job Shop Scheduling Problem with Transportation. Applied Sciences 13:8, pages 5215.
Crossref
Shaofeng Yan, Guohui Zhang, Jinghe Sun & Wenqiang Zhang. (2023) An improved ant colony optimization for solving the flexible job shop scheduling problem with multiple time constraints. Mathematical Biosciences and Engineering 20:4, pages 7519-7547.
Crossref
Wei Shen, WeiMin Wu & HaoYi Niu. (2022) Multi-Objective fuzzy flexible jobshop of dynamic scheduling optimization based on hybrid-nondominanted sorting algorithm. Multi-Objective fuzzy flexible jobshop of dynamic scheduling optimization based on hybrid-nondominanted sorting algorithm.
Yingmei He, Bin Xin, Sai Lu, Qing Wang & Yulong Ding. (2022) Memetic Algorithm for Dynamic Joint Flexible Job Shop Scheduling with Machines and Transportation Robots. Journal of Advanced Computational Intelligence and Intelligent Informatics 26:6, pages 974-982.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.