Results 291 to 300 of about 1,901,812 (345)

Constructive-destructive neighbor search drives artificial bee colony algorithm for variable speed green hybrid flowshop scheduling problem. [PDF]

Sci Rep
Hu D, Wu Y, Qiu L, Mi J, Yang Y.
europepmc   +1 more source

A hybrid evolution strategies algorithm for non-permutation flow shop scheduling problems. [PDF]

Sci Rep
Khurshid B, Maqsood S, Habib MS, Omair M, Hwang SJ.   +4 more
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Production scheduling with multi-robot task allocation in a real industry 4.0 setting. [PDF]

Sci Rep
Shakeri Z, Benfriha K, Varmazyar M, Talhi E, Quenehen A.   +4 more
europepmc   +1 more source

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Deep reinforcement learning for dynamic scheduling of a flexible job shop

International Journal of Production Research, 2022
The ability to handle unpredictable dynamic events is becoming more important in pursuing agile and flexible production scheduling. At the same time, the cyber-physical convergence in production system creates massive amounts of industrial data that ...
Renke Liu, R. Piplani, C. Toro
semanticscholar   +1 more source

Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm

IEEE Transactions on Industrial Informatics, 2022
The job-shop scheduling problem (JSP) is NP hard, which has very important practical significance. Because of many uncontrollable factors, such as machine delay or human factors, it is difficult to use a single real-number to express the processing and ...
Gai-ge Wang, D. Gao, W. Pedrycz
semanticscholar   +1 more source

Real-Time Scheduling for Dynamic Partial-No-Wait Multiobjective Flexible Job Shop by Deep Reinforcement Learning

IEEE Transactions on Automation Science and Engineering, 2022
In modern discrete flexible manufacturing systems, dynamic disturbances frequently occur in real time and each job may contain several special operations in partial-no-wait constraint due to technological requirements.
Shu Luo, Linxuan Zhang, Yushun Fan
semanticscholar   +1 more source

A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem

IEEE Transactions on Automation Science and Engineering, 2022
In this study, we propose an efficient optimization algorithm that is a hybrid of the iterated greedy and simulated annealing algorithms (hereinafter, referred to as IGSA) to solve the flexible job shop scheduling problem with crane transportation ...
Jun-qing Li, Yu Du, K. Gao, Pei-yong Duan, D. Gong, Q. Pan, P. Suganthan   +6 more
semanticscholar   +1 more source

Multiobjective Flexible Job-Shop Rescheduling With New Job Insertion and Machine Preventive Maintenance

IEEE Transactions on Cybernetics, 2022
In the actual production, the insertion of new job and machine preventive maintenance (PM) are very common phenomena. Under these situations, a flexible job-shop rescheduling problem (FJRP) with both new job insertion and machine PM is investigated ...
Youjun An, Xiaohui Chen, K. Gao, Yinghe Li, Lin Zhang   +4 more
semanticscholar   +1 more source

Real-time scheduling simulation optimisation of job shop in a production-logistics collaborative environment

International Journal of Production Research, 2022
In a complex and dynamic job shop containing logistics factor, schedule needs to be generated rapidly, so the real-time scheduling method is more suitable for such scenario.
Lei Cai, Wenfeng Li, Yun Luo, Lijun He
semanticscholar   +1 more source

Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning

Applied Soft Computing Journal, 2020
Shu Luo
exaly   +2 more sources