Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning
S Luo - Applied Soft Computing, 2020 - Elsevier
In modern manufacturing industry, dynamic scheduling methods are urgently needed with
the sharp increase of uncertainty and complexity in production process. To this end, this …
the sharp increase of uncertainty and complexity in production process. To this end, this …
A comprehensive survey and future trend of simulation study on FMS scheduling
FTS Chan, HK Chan - Journal of Intelligent Manufacturing, 2004 - Springer
Since the late 1970s when the first collection of papers on scheduling of flexible
manufacturing systems (FMSs) has been published, it has been one of the most popular …
manufacturing systems (FMSs) has been published, it has been one of the most popular …
Performance measurement in a supply chain
FTS Chan - The international journal of advanced manufacturing …, 2003 - Springer
The supply chain is an important element in logistics development for all industries. It can
improve efficiency and effectiveness of not only product transfer, but also information sharing …
improve efficiency and effectiveness of not only product transfer, but also information sharing …
Large-scale dynamic scheduling for flexible job-shop with random arrivals of new jobs by hierarchical reinforcement learning
As the intelligent manufacturing paradigm evolves, it is urgent to design a near real-time
decision-making framework for handling the uncertainty and complexity of production line …
decision-making framework for handling the uncertainty and complexity of production line …
The state of the art in simulation study on FMS scheduling: a comprehensive survey
Scheduling of flexible manufacturing systems (FMSs) has been one of the most attractive
areas for both researchers and practitioners. A considerable body of literature has …
areas for both researchers and practitioners. A considerable body of literature has …
Ant colony intelligence in multi-agent dynamic manufacturing scheduling
W Xiang, HP Lee - Engineering Applications of Artificial Intelligence, 2008 - Elsevier
This study aims at building an efficient agent-based dynamic scheduling for real-world
manufacturing systems with various products, processes, and disturbances. Ant colony …
manufacturing systems with various products, processes, and disturbances. Ant colony …
A comparison of priority rules for the job shop scheduling problem under different flow time-and tardiness-related objective functions
V Sels, N Gheysen, M Vanhoucke - International Journal of …, 2012 - Taylor & Francis
In this paper, a comparison and validation of various priority rules for the job shop
scheduling problem under different objective functions is made. In a first computational …
scheduling problem under different objective functions is made. In a first computational …
Dynamic flexible job shop scheduling with alternative process plans: an agent-based approach
A Rajabinasab, S Mansour - The International Journal of Advanced …, 2011 - Springer
This paper studies a flexible job shop problem considering dynamic events such as
stochastic job arrivals, uncertain processing times, and unexpected machine breakdowns …
stochastic job arrivals, uncertain processing times, and unexpected machine breakdowns …
A hybrid genetic algorithm and tabu search for a multi-objective dynamic job shop scheduling problem
In most real manufacturing environments, schedules are usually inevitable with the
presence of various unexpected disruptions. In this paper, a rescheduling method based on …
presence of various unexpected disruptions. In this paper, a rescheduling method based on …
A distributed approach solving partially flexible job-shop scheduling problem with a Q-learning effect
The advent of new technologies transforms the manufacturing paradigm and facilitates the
emergence of" smart" factories. The increased flexibility of modern production tools …
emergence of" smart" factories. The increased flexibility of modern production tools …