Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control: Method, Software and Industrial Application - Hardcover

Kang, Shu Gang; Choi, Shiu Hong

Hardcover

ISBN 10: 1447145755 ISBN 13: 9781447145752

Verlag: Springer, 2012

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

Dr. Shu Gang Kang, with a Ph.D. from the University of Hong Kong, is a research associate at the Ohio State University.  His major research interests include AI techniques and software engineering tools for production scheduling and industrial applications.   Dr. Kang has been engaging in industrial research projects and working closely with the industry towards practical solutions to complex real-world engineering problems.

Dr. Shiu Hong Choi gained both his B.Sc. and Ph.D. degrees at the University of Birmingham in the UK.    Prior to joining the University of Hong Kong, Dr. Choi had worked in computer industry as a CAD/CAM consultant.   His research interests focus mainly on development of computer application systems for advanced product design and manufacturing.  He has published a number of papers on virtual prototyping, RFID-based anti-counterfeiting, and production planning and scheduling.

Von der hinteren Coverseite

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.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2012
• Sprache: Englisch
• ISBN 10: 1447145755
• ISBN 13: 9781447145752
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 144
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland