Abd, Khalid Karam.
Intelligent Scheduling of Robotic Flexible Assembly Cells [electronic resource] / by Khalid Karam Abd. - XVI, 164 p. 78 illus., 49 illus. in color. online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5053 . - Springer Theses, Recognizing Outstanding Ph.D. Research, .
This book focuses on the design of Robotic Flexible Assembly Cell (RFAC) with multi-robots. Its main contribution consists of a new effective strategy for scheduling RFAC in a multi-product assembly environment, in which dynamic status and multi-objective optimization problems occur. The developed strategy, which is based on a combination of advanced solution approaches such as simulation, fuzzy logic, system modeling and the Taguchi optimization method, fills an important knowledge gap in the current literature and paves the way for future research towards the goal of employing flexible assembly systems as effectively as possible despite the complexity of their scheduling.
9783319262963
10.1007/978-3-319-26296-3 doi
Engineering.
Artificial intelligence.
Computational intelligence.
Robotics.
Automation.
Manufacturing industries.
Machines.
Tools.
Engineering.
Computational Intelligence.
Manufacturing, Machines, Tools.
Robotics and Automation.
Artificial Intelligence (incl. Robotics).
Q342
006.3
Intelligent Scheduling of Robotic Flexible Assembly Cells [electronic resource] / by Khalid Karam Abd. - XVI, 164 p. 78 illus., 49 illus. in color. online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5053 . - Springer Theses, Recognizing Outstanding Ph.D. Research, .
This book focuses on the design of Robotic Flexible Assembly Cell (RFAC) with multi-robots. Its main contribution consists of a new effective strategy for scheduling RFAC in a multi-product assembly environment, in which dynamic status and multi-objective optimization problems occur. The developed strategy, which is based on a combination of advanced solution approaches such as simulation, fuzzy logic, system modeling and the Taguchi optimization method, fills an important knowledge gap in the current literature and paves the way for future research towards the goal of employing flexible assembly systems as effectively as possible despite the complexity of their scheduling.
9783319262963
10.1007/978-3-319-26296-3 doi
Engineering.
Artificial intelligence.
Computational intelligence.
Robotics.
Automation.
Manufacturing industries.
Machines.
Tools.
Engineering.
Computational Intelligence.
Manufacturing, Machines, Tools.
Robotics and Automation.
Artificial Intelligence (incl. Robotics).
Q342
006.3