A learning-based methodology for dynamic scheduling in distributed manufacturing systems
C Chiu, Y Yih - International Journal of Production Research, 1995 - Taylor & Francis
To enhance productivity in a distributed manufacturing system under hierarchical control, we
develop a framework of dynamic scheduling scheme that explores routeing flexibility and …
develop a framework of dynamic scheduling scheme that explores routeing flexibility and …
An adaptive approach to dynamic scheduling in knowledgeable manufacturing cell
HB Yang, HS Yan - The International Journal of Advanced Manufacturing …, 2009 - Springer
To overcome deficiency in the global capacity of a single dispatching rule, it is vital to select
a dispatching rule in real time for dynamic scheduling. Among the studies addressing the …
a dispatching rule in real time for dynamic scheduling. Among the studies addressing the …
Dynamic adjustment of dispatching rule parameters in flow shops with sequence-dependent set-up times
Decentralised scheduling with dispatching rules is applied in many fields of production and
logistics, especially in highly complex manufacturing systems. Since dispatching rules are …
logistics, especially in highly complex manufacturing systems. Since dispatching rules are …
Distributed reinforcement learning control for batch sequencing and sizing in just-in-time manufacturing systems
J Hong, VV Prabhu - Applied Intelligence, 2004 - Springer
This paper presents an approach that is suitable for Just-In-Time (JIT) production for multi-
objective scheduling problem in dynamically changing shop floor environment. The …
objective scheduling problem in dynamically changing shop floor environment. The …
Stochastic parallel machine scheduling using reinforcement learning
In a high‐mix and low‐volume manufacturing facility, heterogeneous jobs introduce frequent
reconfiguration of machines which increases the chance of unplanned machine …
reconfiguration of machines which increases the chance of unplanned machine …
A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems
Dispatching rules are frequently used to schedule jobs in flexible manufacturing systems
(FMSs) dynamically. A drawback, however, to using dispatching rules is that their …
(FMSs) dynamically. A drawback, however, to using dispatching rules is that their …
Learning adaptive dispatching rules for a manufacturing process system by using reinforcement learning approach
S Qu, J Wang, G Shivani - 2016 IEEE 21st International …, 2016 - ieeexplore.ieee.org
Advanced manufacturing, which employs the latest information and communication
technologies to facilitate interconnected, efficient, and adaptive manufacturing systems, has …
technologies to facilitate interconnected, efficient, and adaptive manufacturing systems, has …
Learning-based scheduling of flexible manufacturing systems using ensemble methods
Dispatching rules are commonly applied to schedule jobs in Flexible Manufacturing Systems
(FMSs). However, the suitability of these rules relies heavily on the state of the system; …
(FMSs). However, the suitability of these rules relies heavily on the state of the system; …
A behavior-based approach to scheduling in distributed manufacturing systems
A Tharumarajah, AJ Wells - Integrated Computer-Aided …, 1997 - content.iospress.com
This article proposes a behavior-based approach to scheduling a distributed autonomous
manufacturing system. A behavior-based approach advances self-control of the autonomous …
manufacturing system. A behavior-based approach advances self-control of the autonomous …
Learning per-machine linear dispatching rule for heterogeneous multi-machines control
This paper proposes a per-machine linear dispatching rule learning approach to improve
the scheduling of re-entrant flow shop such as semiconductor fab. Finding an optimal …
the scheduling of re-entrant flow shop such as semiconductor fab. Finding an optimal …