TY - BOOK ID - 14306566 TI - Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control : Method, Software and Industrial Application AU - Kang, Shu Gang. AU - Choi, Shiu Hong. PY - 2013 SN - 1447145755 1447145763 1283910276 1447161653 PB - London : Springer London : Imprint: Springer, DB - UniCat KW - Computational intelligence. KW - Electronics -- Data processing. KW - Evolutionary computation. KW - Civil & Environmental Engineering KW - Mechanical Engineering KW - Engineering & Applied Sciences KW - Industrial & Management Engineering KW - Civil Engineering KW - Production scheduling. KW - Job scheduling (Production control) KW - Job-shop scheduling KW - Project scheduling (Production control) KW - Scheduling (Management) KW - Engineering. KW - Production management. KW - Computer simulation. KW - Engineering economics. KW - Engineering economy. KW - Engineering Economics, Organization, Logistics, Marketing. KW - Operations Management. KW - Simulation and Modeling. KW - Production control KW - Scheduling KW - Computer modeling KW - Computer models KW - Modeling, Computer KW - Models, Computer KW - Simulation, Computer KW - Electromechanical analogies KW - Mathematical models KW - Simulation methods KW - Model-integrated computing KW - Manufacturing management KW - Industrial management KW - Economy, Engineering KW - Engineering economics KW - Industrial engineering UR - https://www.unicat.be/uniCat?func=search&query=sysid:14306566 AB - 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. ER -