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|a 9781447145769
|9 978-1-4471-4576-9
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|a 10.1007/978-1-4471-4576-9
|2 doi
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|a Kang, Shu Gang.
|e author.
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|a Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control
|h [electronic resource] :
|b Method, Software and Industrial Application /
|c by Shu Gang Kang, Shiu Hong Choi.
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|a London :
|b Springer London :
|b Imprint: Springer,
|c 2013.
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|a X, 134 p.
|b online resource.
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|a text
|b txt
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|a online resource
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|b PDF
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|a 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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|a 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.
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|a Engineering.
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| 650 |
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|a Production management.
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| 650 |
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|a Computer simulation.
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|a Engineering economics.
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|a Engineering economy.
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|a Engineering.
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|a Engineering Economics, Organization, Logistics, Marketing.
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|a Operations Management.
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| 650 |
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|a Simulation and Modeling.
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| 700 |
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|a Choi, Shiu Hong.
|e author.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9781447145752
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| 856 |
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|u http://dx.doi.org/10.1007/978-1-4471-4576-9
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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