Narrow your search

Library

AP (1)

KDG (1)

KU Leuven (1)

Odisee (1)

Thomas More Kempen (1)

Thomas More Mechelen (1)

UCLL (1)

ULB (1)

ULiège (1)

VIVES (1)


Resource type

book (1)

digital (1)


Language

English (2)


Year
From To Submit

2013 (2)

Listing 1 - 2 of 2
Sort by

Book
Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control : Method, Software and Industrial Application
Authors: ---
ISBN: 1447145755 1447145763 1283910276 1447161653 Year: 2013 Publisher: London : Springer London : Imprint: Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

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.


Digital
Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control : Method, Software and Industrial Application
Authors: ---
ISBN: 9781447145769 Year: 2013 Publisher: London Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract

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.

Listing 1 - 2 of 2
Sort by