Multi-Agent-Based Production Planning and Control

Multi-Agent-Based Production Planning and Control PDF

Author: Jie Zhang

Publisher: John Wiley & Sons

Published: 2017-05-09

Total Pages: 440

ISBN-13: 1118890094

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At the crossroads of artificial intelligence, manufacturing engineering, operational research and industrial engineering and management, multi-agent based production planning and control is an intelligent and industrially crucial technology with increasing importance. This book provides a complete overview of multi-agent based methods for today’s competitive manufacturing environment, including the Job Shop Manufacturing and Re-entrant Manufacturing processes. In addition to the basic control and scheduling systems, the author also highlights advance research in numerical optimization methods and wireless sensor networks and their impact on intelligent production planning and control system operation. Enables students, researchers and engineers to understand the fundamentals and theories of multi-agent based production planning and control Written by an author with more than 20 years’ experience in studying and formulating a complete theoretical system in production planning technologies Fully illustrated throughout, the methods for production planning, scheduling and controlling are presented using experiments, numerical simulations and theoretical analysis Comprehensive and concise, Multi-Agent Based Production Planning and Control is aimed at the practicing engineer and graduate student in industrial engineering, operational research, and mechanical engineering. It is also a handy guide for advanced students in artificial intelligence and computer engineering.

Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control

Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control PDF

Author: Shu Gang Kang

Publisher: Springer Science & Business Media

Published: 2012-10-10

Total Pages: 136

ISBN-13: 1447145763

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The Multi-Agent Based Beam Search (MABBS) method systematically integrates four major requirements of manufacturing production - representation capability, solution quality, computation efficiency, and implementation difficulty - within a unified framework to deal with the many challenges of complex real-world production planning and scheduling problems. Multi-agent Based Beam Search for Real-time Production Scheduling and Control introduces this method, together with its software implementation and industrial applications. This book connects academic research with industrial practice, and develops a practical solution to production planning and scheduling problems. To simplify implementation, a reusable software platform is developed to build the MABBS method into a generic computation engine. This engine is integrated with a script language, called the Embedded Extensible Application Script Language (EXASL), to provide a flexible and straightforward approach to representing complex real-world problems. Adopting an in-depth yet engaging and clear approach, and avoiding confusing or complicated mathematics and formulas, this book presents simple heuristics and a user-friendly software platform for system modelling. The supporting industrial case studies provide key information for students, lecturers, and industry practitioners alike. Multi-agent Based Beam Search for Real-time Production Scheduling and Control offers insights into the complex nature of and a practical total solution to production planning and scheduling, and inspires further research and practice in this promising research area.

Multi-Agent-Based Production Planning and Control

Multi-Agent-Based Production Planning and Control PDF

Author: Jie Zhang

Publisher: John Wiley & Sons

Published: 2017-05-15

Total Pages: 440

ISBN-13: 1118890086

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At the crossroads of artificial intelligence, manufacturing engineering, operational research and industrial engineering and management, multi-agent based production planning and control is an intelligent and industrially crucial technology with increasing importance. This book provides a complete overview of multi-agent based methods for today’s competitive manufacturing environment, including the Job Shop Manufacturing and Re-entrant Manufacturing processes. In addition to the basic control and scheduling systems, the author also highlights advance research in numerical optimization methods and wireless sensor networks and their impact on intelligent production planning and control system operation. Enables students, researchers and engineers to understand the fundamentals and theories of multi-agent based production planning and control Written by an author with more than 20 years’ experience in studying and formulating a complete theoretical system in production planning technologies Fully illustrated throughout, the methods for production planning, scheduling and controlling are presented using experiments, numerical simulations and theoretical analysis Comprehensive and concise, Multi-Agent Based Production Planning and Control is aimed at the practicing engineer and graduate student in industrial engineering, operational research, and mechanical engineering. It is also a handy guide for advanced students in artificial intelligence and computer engineering.

Production and Manufacturing System Management: Coordination Approaches and Multi-Site Planning

Production and Manufacturing System Management: Coordination Approaches and Multi-Site Planning PDF

Author: Renna, Paolo

Publisher: IGI Global

Published: 2012-09-30

Total Pages: 376

ISBN-13: 1466620994

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"This book presents relevant theoretical frameworks and most recent research findings in this area, providing significant theories for research students and scholars to carry out their continuous research as well as practitioners who aim to improve upon their understanding of distributed production planning"--

Agent-Based Optimization

Agent-Based Optimization PDF

Author: Ireneusz Czarnowski

Publisher: Springer

Published: 2012-12-14

Total Pages: 208

ISBN-13: 3642340970

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This volume presents a collection of original research works by leading specialists focusing on novel and promising approaches in which the multi-agent system paradigm is used to support, enhance or replace traditional approaches to solving difficult optimization problems. The editors have invited several well-known specialists to present their solutions, tools, and models falling under the common denominator of the agent-based optimization. The book consists of eight chapters covering examples of application of the multi-agent paradigm and respective customized tools to solve difficult optimization problems arising in different areas such as machine learning, scheduling, transportation and, more generally, distributed and cooperative problem solving.

Innovation Manufacturing and Engineering Management

Innovation Manufacturing and Engineering Management PDF

Author: Yu Hang Yang

Publisher: Trans Tech Publications Ltd

Published: 2011-08-16

Total Pages: 277

ISBN-13: 3038136387

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Volume is indexed by Thomson Reuters CPCI-S (WoS). The main themes and trends covered by this volume are Manufacturing Technology and Applications and Innovation Engineering Management. Both inward-looking research (core areas of Materials and Manufacturing Technology) and outward-looking research (multi-disciplinary, inter-disciplinary and applications) are reviewed. The work will provide invaluable guidance to those interested in these subjects.

Cooperative Control of Distributed Multi-Agent Systems

Cooperative Control of Distributed Multi-Agent Systems PDF

Author: Jeff Shamma

Publisher: John Wiley & Sons

Published: 2008-02-28

Total Pages: 452

ISBN-13: 9780470724194

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The paradigm of ‘multi-agent’ cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years. This volume, the result of a UCLA collaborative project with Caltech, Cornell and MIT, presents cutting edge results in terms of the “dimensions” of cooperative control from leading researchers worldwide. This dimensional decomposition allows the reader to assess the multi-faceted landscape of cooperative control. Cooperative Control of Distributed Multi-Agent Systems is organized into four main themes, or dimensions, of cooperative control: distributed control and computation, adversarial interactions, uncertain evolution and complexity management. The military application of autonomous vehicles systems or multiple unmanned vehicles is primarily targeted; however much of the material is relevant to a broader range of multi-agent systems including cooperative robotics, distributed computing, sensor networks and data network congestion control. Cooperative Control of Distributed Multi-Agent Systems offers the reader an organized presentation of a variety of recent research advances, supporting software and experimental data on the resolution of the cooperative control problem. It will appeal to senior academics, researchers and graduate students as well as engineers working in the areas of cooperative systems, control and optimization.

Agent Based Approach For Supply Chain Management

Agent Based Approach For Supply Chain Management PDF

Author: Dr. M S Uppin

Publisher: Notion Press

Published: 2018-05-25

Total Pages: 226

ISBN-13: 1642494844

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The book is concerned with the application of basic concepts of Agent-based technology for the flow of information between various components of the supply chain formed for a manufacturing organization with following objectives: • Identifying issues related to sharing information as the most critical factor in supply chain activities • Addressing problems associated with sharing information both within and between different organizations • Sharing effective information by formulating an agent-based framework for supply chain management activities • To enhance the effectiveness of Supply chain management activities

Agent-Based Modelling of Socio-Technical Systems

Agent-Based Modelling of Socio-Technical Systems PDF

Author: Koen H. van Dam

Publisher: Springer Science & Business Media

Published: 2012-10-08

Total Pages: 285

ISBN-13: 9400749333

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Decision makers in large scale interconnected network systems require simulation models for decision support. The behaviour of these systems is determined by many actors, situated in a dynamic, multi-actor, multi-objective and multi-level environment. How can such systems be modelled and how can the socio-technical complexity be captured? Agent-based modelling is a proven approach to handle this challenge. This book provides a practical introduction to agent-based modelling of socio-technical systems, based on a methodology that has been developed at TU Delft and which has been deployed in a large number of case studies. The book consists of two parts: the first presents the background, theory and methodology as well as practical guidelines and procedures for building models. In the second part this theory is applied to a number of case studies, where for each model the development steps are presented extensively, preparing the reader for creating own models.