Graham Kendall
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Professor Graham Kendall

Professor Graham Kendall is the Provost and CEO of The University of Nottingham Malaysia Campus (UNMC). He is also a Pro-Vice Chancellor of the University of Nottingham.

He is a Director of MyResearch Sdn Bhd, Crops for the Future Sdn Bhd. and Nottingham Green Technologies Sdn Bhd. He is a Fellow of the British Computer Society (FBCS) and a Fellow of the Operational Research Society (FORS).

He has published over 230 peer reviewed papers. He is an Associate Editor of 10 journals and the Editor-in-Chief of the IEEE Transactions of Computational Intelligence and AI in Games.

News

A Conversation article celebrating Pi
http://bit.ly/1DXuXbV
The hunt for MH370
http://bit.ly/1DXRLbu

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Wildcards and Carriage Returns in Word

Publication(s)

Ghost direction detection and other innovations for Ms. Pac-Man
http://bit.ly/hRqET5
A multi-agent based simulated stock market - testing on different types of stocks
http://bit.ly/haEt18
An Adaptive Length Chromosome Hyperheuristic Genetic Algorithm for a Trainer Scheduling Problem
http://bit.ly/ezw9NR
Introducing Individual and Social Learning Into Evolutionary Checkers
http://bit.ly/1a2YwLx

Graham Kendall: Details of Requested Publication


Citation

Ayob, M and Kendall, G A triple objective function with a Chebychev dynamic pick-and-place point specification approach to optimise the surface mount placement machine. European Journal of Operational Research, 164 (3): 609-626, 2005.


Abstract

Optimisation can play a major role in improving the throughput of surface mount placement machines. Most previous work has reported on improving only the assembly cycle time. The movement of the feeder carrier and PCB table are not always factors which are minimised. In this paper we introduce a triple objective function with a Chebychev dynamic pick-and-place approach to optimise the sequential pick and place machine. We are focusing on improving the feeder setup. The aims are to minimise the robot assembly time, the feeder movements and the PCB table movements. To provide flexibility to our approach, we integrate three weighted parameters into the triple objective function such that one can vary the importance of each factor to be minimised. Experimental results show that our approach gives good robot assembly time and less movement of the feeder carrier and PCB table.


pdf

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doi

The doi for this publication is 10.1016/j.ejor.2003.09.034 You can link directly to the original paper, via the doi, from here

What is a doi?: A doi (Document Object Identifier) is a unique identifier for sicientific papers (and occasionally other material). This provides direct access to the location where the original article is published using the URL http://dx.doi/org/xxxx (replacing xxx with the doi). See http://dx.doi.org/ for more information


Journal Rankings


ISI Web of Knowledge Journal Citation Reports

The Web of Knowledge Journal Citation Reports (often known as ISI Impact Factors) help measure how often an article is cited. You can get an introduction to Journal Citation Reports here. Below I have provided the ISI impact factor for the jourrnal in which this article was published. For complete information I have shown the ISI ranking over a number of years, with the latest ranking highlighted.

2014 (2.358), 2013 (1.843), 2012 (2.038), 2011 (1.815), 2010 (2.158), 2009 (2.093), 2008 (1.627), 2007 (1.096), 2006 (0.918), 2005 (0.824), 2004 (0.828), 2003 (0.605), 2002 (0.553), 2001 (0.494), 2000 (0.490)

URL

This pubication does not have a URL associated with it.

The URL is only provided if there is additional information that might be useful. For example, where the entry is a book chapter, the URL might link to the book itself.


Bibtex

@ARTICLE{ak2005, author = {M. Ayob and G. Kendall},
title = {A triple objective function with a Chebychev dynamic pick-and-place point specification approach to optimise the surface mount placement machine},
journal = {European Journal of Operational Research},
year = {2005},
volume = {164},
pages = {609--626},
number = {3},
month = {August 2005},
abstract = {Optimisation can play a major role in improving the throughput of surface mount placement machines. Most previous work has reported on improving only the assembly cycle time. The movement of the feeder carrier and PCB table are not always factors which are minimised. In this paper we introduce a triple objective function with a Chebychev dynamic pick-and-place approach to optimise the sequential pick and place machine. We are focusing on improving the feeder setup. The aims are to minimise the robot assembly time, the feeder movements and the PCB table movements. To provide flexibility to our approach, we integrate three weighted parameters into the triple objective function such that one can vary the importance of each factor to be minimised. Experimental results show that our approach gives good robot assembly time and less movement of the feeder carrier and PCB table.},
date-modified = {2007-01-17 16:58:57 +0000},
doi = {10.1016/j.ejor.2003.09.034},
issn = {0377-2217},
keywords = {Scheduling, Optimisation, SMD placement machine, Printed circuit board assembly},
webpdf = {http://www.graham-kendall.com/papers/ak2005.pdf} }