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

Method, Software and Industrial Application

  • Shu Gang Kang
  • Shiu Hong Choi

Table of contents

  1. Front Matter
    Pages i-x
  2. Shu Gang Kang, Shiu Hong Choi
    Pages 1-6
  3. Shu Gang Kang, Shiu Hong Choi
    Pages 7-15
  4. Shu Gang Kang, Shiu Hong Choi
    Pages 17-21
  5. Shu Gang Kang, Shiu Hong Choi
    Pages 23-30
  6. Shu Gang Kang, Shiu Hong Choi
    Pages 31-49
  7. Shu Gang Kang, Shiu Hong Choi
    Pages 51-70
  8. Shu Gang Kang, Shiu Hong Choi
    Pages 71-90
  9. Shu Gang Kang, Shiu Hong Choi
    Pages 91-109
  10. Shu Gang Kang, Shiu Hong Choi
    Pages 111-123
  11. Shu Gang Kang, Shiu Hong Choi
    Pages 125-127
  12. Back Matter
    Pages 129-133

About this book

Introduction

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.

Keywords

Beam Search Decision Making Knowledge Representation Multi-agent Systems Production Planning

Authors and affiliations

  • Shu Gang Kang
    • 1
  • Shiu Hong Choi
    • 2
  1. 1.The Ohio State UniversityColumbusUSA
  2. 2., Department of Industrial & ManufacturingThe University of Hong KongHong KongHong Kong SAR

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-4576-9
  • Copyright Information Springer-Verlag London 2013
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-4471-4575-2
  • Online ISBN 978-1-4471-4576-9
  • Buy this book on publisher's site