New job insertionDispatching rulesDeep reinforcement learningDeep Q networkIn modern manufacturing industry, dynamic scheduling methods are urgently needed with the sharp increase of uncertainty and complexity i
Achieving mass personalization presents significant challenges in performance and adaptability when solving dynamic flexible job-shop scheduling problems (DFJSP). Previous studies have struggled to achieve high performance in variable contexts. To tackle this challenge, this paper introduces a novel scheduling...
内容提示: Applied Soft Computing Journal 91 (2020) 106208Contents lists available at ScienceDirectAppliedSoftComputingJournaljournal homepage: www.elsevier.com/locate/asocDynamicschedulingforflexiblejobshopwithnewjobinsertionsbydeepreinforcementlearningShu LuoNational Engineering Research Center for Computer ...
patching rule in a dynamic flexible job shop scheduling problem with new job insertions. Two Q matrices were used to maintain the probabilities of choosing respectively a machine selection rule and a particular dispatching rule. Shahrabi et al. [15] used ...
Dynamic flexible job shop scheduling with alter- native process plans: an agent-based approach. The International Journal of Advanced Manufacturing Technology 2011;54:1091-107.A. Rajabnasab and S. Mansour: Dynamic flexible job shop scheduling with alternative process plans: an agent-based approach; ...
for flexible job shop environment,which is a special case of job shop scheduling problem.Scheduling algorithm used in the software is verified and tested by using MT10 as benchmark problem,presented in the flexible job shop environment at the end.LEKIN(R) software results are also compared with...
Dynamic rescheduling of a job shop Source: Unknown Repository Performance Evaluation of Contract Net-Based Heterarchical Scheduling for Flexible Manufacturing Systems Source: Intelligent Automation & Soft Computing Dynamic Scheduling and Division of Labor in Social Insects ...
18 investigated the dynamic production scheduling of a class of flexible operation workshops and considered dynamic events (such as the random arrival of workpieces, uncertain processing time, accidental machine failure, and path and process flexibility). Then, they developed a multiagent production ...
Scheduling flexible job shop problem subject to machine breakdown with route changing and right-shift strategies 10.1007/s00170-012-4344-4 View in Scopus Google Scholar [7] Y.M. Wang, H.L. Yin, K.D. Qin A novel genetic algorithm for flexible job shop scheduling problems with machine disrupt...
The unpredictable variety of dynamic events in manufacturing systems poses a great challenge for tackling the job-shop scheduling problem (JSP), while most prior arts fail to strike a good balance between solution efficiency and dynamic adaptation. To this end, this paper outlines a graph reinforcem...