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Engineering - Production & Process Engineering | Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control - Method, Software

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

Method, Software and Industrial Application

Kang, Shu Gang, Choi, Shiu Hong

2013, X, 134 p. With online files/update.

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  • Describes production planning and scheduling in an in-depth, yet easy-to-understand, way
  • Presents simple heuristics and a user-friendly software platform for system modeling
  • Includes an industrial case study

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.

Content Level » Research

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

Related subjects » Production & Logistics - Production & Process Engineering - Theoretical Computer Science

Table of contents 

1.Introduction.- 2.Literature Review.- 3.Research Methodology.- 4.The Multi-Stage Multi-Level Decision-Making Model.- 5.Knowledge-Directed opportunistic Search.- 6. The Multi-Agent Based Beam Search Method.- 7. Modeling Complex Decision-Making Problems with the MABBS Methods.- 8.The MABBS Engine.- 9.Industrial Application of the MABBS Method.- 10.Summary and Directions for Future Research.

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