Generic Multi Agent Reinforcement Learning Approach For Flexible Job Shop Scheduling

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Generic Multi Agent Reinforcement Learning Approach For Flexible Job Shop Scheduling

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Author : Schirin Bär
language : en
Publisher:
Release Date : 2022

Generic Multi Agent Reinforcement Learning Approach For Flexible Job Shop Scheduling written by Schirin Bär and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.

The production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation. About the author Schirin Bär researched at the RWTH-Aachen University at the Institute for Information Management in Mechanical Engineering (IMA) on the optimization of production control of flexible manufacturing systems using reinforcement learning. As operations manager and previously as an engineer, she developed and evaluated the research results based on real systems.

Generic Multi Agent Reinforcement Learning Approach For Flexible Job Shop Scheduling

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Author : Schirin Bär
language : en
Publisher: Springer Nature
Release Date : 2022-10-01

Generic Multi Agent Reinforcement Learning Approach For Flexible Job Shop Scheduling written by Schirin Bär and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-01 with Computers categories.

The production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation.

Optimization And Learning

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Author : Bernabé Dorronsoro
language : en
Publisher: Springer Nature
Release Date : 2020-02-15

Optimization And Learning written by Bernabé Dorronsoro and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-15 with Computers categories.

This volume constitutes the refereed proceedings of the Third International Conference on Optimization and Learning, OLA 2020, held in Cádiz, Spain, in February 2020. The 23 full papers were carefully reviewed and selected from 55 submissions. The papers presented in the volume focus on the future challenges of optimization and learning methods, identifying and exploiting their synergies,and analyzing their applications in different fields, such as health, industry 4.0, games, logistics, etc.

Progress In Artificial Intelligence And Pattern Recognition

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Author : Yanio Hernández Heredia
language : en
Publisher: Springer
Release Date : 2018-09-21

Progress In Artificial Intelligence And Pattern Recognition written by Yanio Hernández Heredia and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-21 with Computers categories.

This book constitutes the refereed proceedings of the 6th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2018, held in Havana, Cuba, in September 2018. The 42 full papers presented were carefully reviewed and selected from 101 submissions. The papers promote and disseminate ongoing research on mathematical methods and computing techniques for artificial intelligence and pattern recognition, in particular in bioinformatics, cognitive and humanoid vision, computer vision, image analysis and intelligent data analysis, as well as their application in a number of diverse areas such as industry, health, robotics, data mining, opinion mining and sentiment analysis, telecommunications, document analysis, and natural language processing and recognition.

Operations Research Proceedings 2023

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Author : Guido Voigt
language : en
Publisher: Springer Nature
Release Date : 2025-08-23

Operations Research Proceedings 2023 written by Guido Voigt and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-23 with Business & Economics categories.

This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2023), which was held at Universität Hamburg, Germany, August 29–September 1, 2023. More than 700 scientists, practitioners, and students from mathematics, computer science, business/economics, and related fields attended the conference and presented more than 500 papers in plenary presentations, parallel topic streams, as well as special award sessions. The book discusses classical mathematical optimization, statistics, and simulation techniques. These are complemented by computer science methods and by tools for processing data, designing and implementing information systems. The book also examines recent advances in information technology, which allow big data volumes to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it encompasses addressing problems modeled and treated while considering factors such as uncertainty, risk management, and behavioral issues.

Computer Control Abstracts

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Author :
language : en
Publisher:
Release Date : 1996

Computer Control Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Automatic control categories.

Dynamics In Logistics

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Author : Michael Freitag
language : en
Publisher: Springer Nature
Release Date : 2024-04-02

Dynamics In Logistics written by Michael Freitag and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-02 with Business & Economics categories.

This book reports on interdisciplinary research and developments in logistics. It describes cutting-edge methods from business economics, operations research, computer science, and electrical and production engineering, applied to solve current problems in logistics. It includes empirical, theoretical, methodological, and practice-oriented contributions addressing the modeling, planning, optimization, and control of processes in supply chains, logistic networks, production systems, and material flow systems and facilities. Gathering peer-reviewed papers presented at the 9th International Conference on Dynamics in Logistics (LDIC 2024), held on February 14-16, 2024, in Bremen, Germany, and continuing the tradition of previous volumes, this book offers extensive information to both researchers and professionals in logistics. Moreover, it emphasizes current challenges such as those related to sustainable business development and digitalization, proposing novel, effective solutions to cope with current issues in different types of industry.

Multi Agent Reinforcement Learning Approaches For Distributed Job Shop Scheduling Problems

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Author : Thomas Gabel
language : en
Publisher:
Release Date : 2009

Multi Agent Reinforcement Learning Approaches For Distributed Job Shop Scheduling Problems written by Thomas Gabel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.

American Doctoral Dissertations

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Author :
language : en
Publisher:
Release Date : 1998

American Doctoral Dissertations written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Dissertation abstracts categories.

A Cooperative Hierarchical Deep Reinforcement Learning Based Multi Agent Method For Distributed Job Shop Scheduling Problem With Random Job Arrivals

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Author : Jiang-Ping Huang
language : en
Publisher:
Release Date : 2023

A Cooperative Hierarchical Deep Reinforcement Learning Based Multi Agent Method For Distributed Job Shop Scheduling Problem With Random Job Arrivals written by Jiang-Ping Huang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.

Distributed manufacturing has been an important trend in the industrial field, in which the production cost can be reduced through the cooperation among factories. In the real production, the random job arrivals are regular for the enterprises with daily delivered production tasks. In the paper, Distributed Job-shop Scheduling Problem (DJSP) with random job arrivals is studied. The distributed characteristics and the uncertain disturbance raise higher demands on the responsiveness and the self-adaptiveness of the scheduling method. To meet the scheduling requirements, a hierarchical Deep Reinforcement Learning (DRL) based multi-agent method Agentin is presented where the assigning agent (Agenta) and the sequencing agent (Agents) are respectively designed for job allocation and job sequencing, and they share the system information and extract the features they need independently. Agenta and Agents are both based on the specially-designed DQN framework, which has a variable threshold probability in the training stage, and it can balance the exploitation and exploration in the model training. For Agenta and Agents, two Markov Decision Process (MDP) formulations are established with elaborately-explored state features, rules-based action spaces and objective-oriented reward functions. Based on 1350 different production instances, the independent utility tests prove the effectiveness of the independent agents and the importance of the cooperation among the agents. The comparison test with the related algorithms validates the effectiveness of the integrated multi-agent method.