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 ...
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...
Rajabinasab A., Mansour S.: Dynamic flexible job shop scheduling with alternative process plans: an agent based approach Int. J. Adv. Manuf. Technol. 54, 1091-1107 (2011)A. Rajabinasab and S. Mansour, Dynamic flexible job shop scheduling with alternative process plans: an agent-based ...
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 ...
In this work, deep reinforcement learning is utilized to address the dynamic flexible job shop scheduling problem and facilitate near-real-time shop floor ... S Lu,Y Wang,M Kong,... - Engineering Applications of Artificial Intelligence: The International Journal of Intelligent Real-Time Automation...
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 ...
Aim of this research is to minimize makespan in the flexible job shop environment by the use of genetic algorithms and scheduling rules.Software is developed using genetic algorithms and scheduling rules based on certain constraints such as non-preemption of jobs,recirculation,set up times,non-...
This paper focuses on multi-objective dynamic flexible job shop scheduling problem (MODFJSP) with machine breakdown. First, a multi-objective dynamic scheduling model is established, with objectives to minimize m...
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...
A novel genetic algorithm for flexible job shop scheduling problems with machine disruptions 10.1007/s00170-013-4923-z View in Scopus Google Scholar [8] J. Xiong, L.N. Xing, Y.W. Chen Robust scheduling for multi-objective flexible job-shop problems with random machine breakdowns ...