To this end, this paper addresses the dynamic flexible job shop scheduling problem (DFJSP) under new job insertions aiming at minimizing the total tardiness. Without lose of generality, the DFJSP can be modeled as a Markov decision process (MDP) where an intelligent agent should successively ...
Rajabinasab A, Mansour S (2011) Dynamic flexible job shop scheduling with alternative process plans: an agent-based approach. Int J Adv Manuf Technol 54(9):1091–1107Rajabinasab, A, Mansour, S (2011) Dynamic flexible job shop scheduling with alternative process plans: an agent-based ...
Applied Soft Computing Journal 91 (2020) 106208Contents lists available at ScienceDirectAppliedSoftComputingJournaljournal homepage: www.elsevier.com/locate/asocDynamicschedulingforflexiblejobshopwithnewjobinsertionsbydeepreinforcementlearningShu LuoNational Engineering Research Center for Computer Integrated Manufactur...
FlexiblejobshopschedulingNewjobinsertionDispatchingrulesDeepreinforcementlearningDeepQnetworkabstractInmodernmanufacturingindustry,dynamicschedulingmethodsareurgentlyneededwiththesharpincreaseofuncertaintyandcomplexityinproductionprocess.Tothisend,thispaperaddressesthedynamicflexiblejobshopschedulingproblem(DFJSP)undernewjob...
To this end, this paper addresses thedynamic flexible job shop scheduling problem (DFJSP) under new job insertions aiming at minimizingthe total tardiness. Without lose of generality, the DFJSP can be modeled as a Markov decision process(MDP) where an intelligent agent should successively ...
Scheduling for the flexible job shop is very important in the fields of production management and combinatorial optimization. However, it is quite difficult to achieve an optimal solution to this problem in medium and actual size problems with traditional optimization approaches owing to the high compu...
Scheduling Job shop Deep reinforcement learning Object-oriented simulation 1. Introduction The purpose of this article is to highlight the crucial role of Discrete Event Simulation (DES) for the evaluation of artificial intelligence techniques used for solving the dynamic flexible job shop scheduling pro...
Flexible job shop scheduling (FJSS) can be regarded as an optimization problem in production scheduling that captures practical and challenging issues in real-world scheduling tasks such as order picking in manufacturing and cloud computing. Given a set of machines and jobs, FJSS aims to determine...
2021, International Journal of Production Research Dynamic flexible job shop scheduling with alternative process plans: An agent-based approach 2011, International Journal of Advanced Manufacturing Technology View all citing articles on ScopusView full text ...
In this paper a scheduling and dispatching approach for a flexible job shop incorporating travel times of autonomous guided vehicles is analyzed. Considering multi-purpose machines, routing flexibility is also included. Knowing the calculation of the optimal schedule in this complex manufacturing system ...