Intelligent Scheduling of Robotic Flexible Assembly Cells
Author:   Khalid Karam Abd
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
ISBN:  

9783319387369


Pages:   164
Publication Date:   23 August 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $290.37 Quantity:  
Add to Cart

Share |

Intelligent Scheduling of Robotic Flexible Assembly Cells


Add your own review!

Overview

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.

Full Product Details

Author:   Khalid Karam Abd
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
Weight:   2.818kg
ISBN:  

9783319387369


ISBN 10:   3319387367
Pages:   164
Publication Date:   23 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
 Shopping cart
Mailing List

 

Sign up now