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Intelligent Scheduling of Robotic Flexible Assembly Cells: Springer Theses

Autor Khalid Karam Abd
en Limba Engleză Hardback – 17 noi 2015
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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Specificații

ISBN-13: 9783319262956
ISBN-10: 3319262955
Pagini: 164
Ilustrații: XVI, 164 p. 78 illus., 49 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.43 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Background and Research Scope.- Literature Review and Research Objectives.- Development of an Intelligent Methodology for Scheduling RFAC.- Case Study 1: Application of the Developed Methodology Using Fuzzy Logic and Simulation.- Simulation Modelling and Analysis of Dynamic Scheduling in RFAC.- Development of an Optimization Approach for Dynamic Scheduling Problems in RFAC.- Case Study 2: Application of Hybrid Fuzzy MCDM Approach to Optimize Dynamic Scheduling in RFAC.- Conclusions and Recommendations for Further Work.

Textul de pe ultima copertă

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.

Caracteristici

Nominated as an outstanding PhD thesis by University of South Australia, Adelaide, Australia Reports on a new methodology for scheduling robotic flexible assembly cells Offers a comprehensive literature review of advanced scheduling methods and their applications in manufacturing Includes supplementary material: sn.pub/extras