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An effective architecture for learning and evolving flexible job-shop schedules
2007
European Journal of Operational Research
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This paper proposes an architecture for learning and evolving of Flexible Job-Shop schedules called LEarnable Genetic Architecture (LEGA). ...
LEGA provides an effective integration between evolution and learning within a random search process. ...
Acknowledgments This research was funded in part by Nanyang Technological University and CEI Contract Manufacturing Limited, Singapore. ...
doi:10.1016/j.ejor.2006.04.007
fatcat:2zcyb26omnaojlyqewbshsssdu
Pollux: a dynamic hybrid control architecture for flexible job shop systems
2016
International Journal of Production Research
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The proposed approach was tested in a real flexible job shop to demonstrate the applicability and efficiency of including an optimisation algorithm in the switching process of a dynamic hybrid control ...
Nowadays, manufacturing control systems can respond more effectively to exigent market requirements and real-time demands. ...
an unexpected event, specifically for the flexible job shop systems. ...
doi:10.1080/00207543.2016.1218087
fatcat:2iaty5clhzgcfey7l5mw7mdvhu
Improving Multi-agent Based Scheduling by Neurodynamic Programming
[chapter]
2003
Lecture Notes in Computer Science
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Therefore the job-shop scheduling is an optimization problem. ...
Introduction Continuous, steady improvement is a key requirement for manufacturing enterprises that necessitates flat and flexible organizations, life-long learning of employees on the one hand, and information ...
T043547 and the 5th Framework GROWTH Project MPA (G1RD-CT2000-00298). ...
doi:10.1007/978-3-540-45185-3_11
fatcat:vlv5l4pi3rf7bndijzap2o26aq
Part I: Adaptive Systems
2013
Procedia Computer Science
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Task Allocation Strategy in Groups of Mobile Agents
Effective Estimation of Distribution Algorithm for Stochastic Job Shop Scheduling Problem Toward Theory and Practice of Continuous Imprecise Numbers ...
job-shop scheduling problem under the constraint of completion time minimization. ...
doi:10.1016/j.procs.2013.09.231
fatcat:zx6puvgvpvaqznqkhi2yx6wyli
Service-Oriented Real-Time Smart Job Shop Symmetric CPS Based on Edge Computing
2021
Symmetry
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First, the CPS and MEC for a service-oriented production process are analyzed. Secondly, based on MEC middleware, a CPS architecture model of a smart job shop is established. ...
Finally, an experiment platform of the smart job shop is used to verify different data processing modes by comparing the network performance data such as bandwidth, packet loss rate, and response delay ...
Each job shop is equipped with an MEC server to form a two-level interactive architecture of an enterprise data center and job shop MEC. ...
doi:10.3390/sym13101839
fatcat:53mrwscrffen3hklivusfuihbe
Modified Genetic Algorithm for Flexible Job-Shop Scheduling Problems
2012
Procedia Computer Science
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This paper proposes a modified version of the genetic algorithm for flexible job-shop scheduling problems (FJSP). ...
The experimental results on 10 well-known benchmark instances show that the proposed algorithm is quite efficient in solving flexible job-shop scheduling problems. ...
[9] proposed a new architecture based on the GA for learning and evolving FJSP called learnable genetic architecture (LEGA). ...
doi:10.1016/j.procs.2012.09.041
fatcat:ejmfyrh2a5hs5jdpd5luam7qda
Knowledge-Based Automation for Smart Manufacturing Systems
2021
IEEE Transactions on Automation Science and Engineering
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Cao et al. investigate an extended version of a flexible job shop problem that allows the precedence between the operations to be given by an arbitrary directed acyclic graph and develop a knowledge-based ...
They introduce a genetic programming-based scheduling approach for a hybrid flow shop with a batch processor and waiting time constraint. ...
doi:10.1109/tase.2020.3044620
fatcat:aezo6ha6rnck3aegm3ftwooe7m
An Ant Colony Optimization Algorithm for Flexible Job Shop Scheduling Problem
[chapter]
2010
New Advanced Technologies
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Ho et al. (2007) proposed an architecture for learning and evolving of flexible job shop schedules for minimum makespan criterion called learnable genetic architecture (LEGA), a generalization of their ...
Rossi and Dini (2007) proposed an ACO based software system for solving flexible job shop problem (FJSP) with routing flexibility, sequence-dependent set up and transportation time. ...
The termination criterion used for ACO is the total number of iterations which is equal to 100 times the total number of operations of all jobs. ...
doi:10.5772/9425
fatcat:kaokfnoakndufbdb4moiatanfm
A blackboard based perspective of reactive scheduling
[chapter]
1995
IFIP Advances in Information and Communication Technology
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With the challenge of rapid changes in manufacturing shop-floors, operation scheduling and executional control raise increasing demand for intelligent and responsive approaches to problems of shop floor ...
An Expert Supervisor Unit (ESU) with its intelligent interface assists during the control of the scheduled activities' execution and the system's interaction with both the dynamic shop floor processes ...
as dominant constraints in complex job shop scheduling task. ...
doi:10.1007/978-0-387-34928-2_6
fatcat:oozzyug7izadzlgnvhsxdpxyjm
A Holonic Control Approach for Distributed Manufacturing
[chapter]
2002
Knowledge and Technology Integration in Production and Services
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The paper introduces an innovative holonic manufacturing control architecture to face some of these unsolved problems by supporting an increase of flexibility and an agile reaction to disturbances without ...
applications a complex and hard task. ...
PROS A is a reference architecture for manufacturing control and the ADACOR approach focus mainly in the distributed manufacturing shop floor control for job shop production type, with special attention ...
doi:10.1007/978-0-387-35613-6_29
fatcat:5z75uxlqpvbgpbxey3gcdhq6ia
A Deep Reinforcement Learning Based Scheduling Policy for Reconfigurable Manufacturing Systems
2021
Procedia CIRP
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This fact impedes an efficient comparison and choice of appropriate product family combinations for the production system. ...
A new methodology is proposed to analyze existing products in view of their functional and physical architecture. ...
These features make reinforcement learning (RL) outstanding and particularly feasible to cope similar continuous and dynamic flexible job-shop scheduling problems [9] . ...
doi:10.1016/j.procir.2021.09.089
fatcat:34hnxx65eraxvmx5ivbu256ef4
5-17,Tesma305,IJEAST.pdf
2018
Figshare
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flexibility and robustness, and to suggest variousorientations for further work is this area of research. ...
The scheduling problems are classified based onthe nature of the shop configuration into five classes, i.e.,single machine, parallel machines, flow shop, job shop, andopen shop. ...
In this work, an efficient an improved ant colony optimization IACO is proposed for flexible job shop scheduling problem FJSP in order to minimize make span (Lei Wang, 2017) .There was another method ...
doi:10.6084/m9.figshare.7379393
fatcat:fcdzn7qcpva2lpvzd6kkhxftfu
Dynamic scheduling for multi-site companies: a decisional approach based on reinforcement multi-agent learning
2011
Journal of Intelligent Manufacturing
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In this article, a model for adaptive scheduling in multi-site companies is proposed. ...
Experimentations on a real case study demonstrate the applicability and the effectiveness of the model in terms of both optimality and reactivity. ...
Most of the flexible job shop problems were proved to be NP-hard (Conway et al. 1967) . ...
doi:10.1007/s10845-011-0580-y
fatcat:c26qzedcnzglzhz42fxhxwxgca
A Review of Prediction and Optimization for Sequence-Driven Scheduling in Job Shop Flexible Manufacturing Systems
2021
Processes
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This article reviews the state of the art of prediction and optimization for sequence-driven scheduling in job shop flexible manufacturing systems (JS-FMSs). ...
This would enable us to derive data-learned prediction and optimization models that output accurate and precise schedules; foresee individual product locations; and respond rapidly to dynamic and frequent ...
Acknowledgments: We thank Heejin Seol for technical support via Smart Factory (Variant 4) analysis at the LINC+ Analytical Equipment Center at Hanyang University in Seoul. ...
doi:10.3390/pr9081391
fatcat:r3p5bzdlvnf2lnm6ymxq3vjcsm
Special Issue on Analysis, Design, and Optimization in Smart and Connected Production and Service Systems
2022
International Journal of Production Research
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In article 'Deep reinforcement learning for dynamic scheduling of a flexible job shop', Liu, Piplani and Toro present a hierarchical and distributed architecture to solve the dynamic flexible job shop ...
In paper 'A novel feature selection for evolving compact dispatching rules using genetic programming for dynamic job shop scheduling', Salama, Kaihara, Fujii and Kokuryo propose a new representation of ...
doi:10.1080/00207543.2022.2078036
fatcat:gywqetdnq5filhhtzk4scpzj3e
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