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Intelligent scheduling of robotic fl...
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Intelligent scheduling of robotic flexible assembly cells
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Intelligent scheduling of robotic flexible assembly cells/ by Khalid Karam Abd.
Author:
Abd, Khalid Karam.
Published:
Cham :Springer International Publishing : : 2016.,
Description:
xvi, 164 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Flexible manufacturing systems. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-26296-3
ISBN:
9783319262963
Intelligent scheduling of robotic flexible assembly cells
Abd, Khalid Karam.
Intelligent scheduling of robotic flexible assembly cells
[electronic resource] /by Khalid Karam Abd. - Cham :Springer International Publishing :2016. - xvi, 164 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..
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.
ISBN: 9783319262963
Standard No.: 10.1007/978-3-319-26296-3doiSubjects--Topical Terms:
565157
Flexible manufacturing systems.
LC Class. No.: TS155.65
Dewey Class. No.: 670.427
Intelligent scheduling of robotic flexible assembly cells
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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.
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Engineering (Springer-11647)
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