株式会社極東書店トップ ＞ 商品一覧 ＞ Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control: Method, Software and Industrial Application. 2013 ed.
商品詳細
Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control: Method, Software and Industrial Application. 2013 ed.
・ISBN 978-1-4471-6165-3 paper EUR 99.99
￥26,726.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
| 著者・編者 | Kang, Shu Gang / Choi, Shiu Hong, |
|---|---|
| 出版社 | (Springer London Ltd, UK) |
| 出版年月 | 2014 |
| ページ数 | 134 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-42270＞ |
解説
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.