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

I blog occasionally, feel free to take a look.
http://bit.ly/hq6rMK
I have published some papers on timetabling.
http://bit.ly/hSGAhZ

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Vehicle Routing: Case Study at EURO

Publication(s)

Searching the Hyper-heuristic Design Space
http://bit.ly/1sD4RoY
Automatic Design of Hyper-heuristic Framework with Gene Expression Programming for Combinatorial Optimization problems
http://bit.ly/1L6OJ8g
A Survey and Analysis of Diversity Measures in Genetic Programming
http://bit.ly/eA1Rvy
A Heuristic Approach for the Travelling Tournament Problem using Optimal Travelling Salesman Tours
http://bit.ly/fmZWW1

Graham Kendall: Details of Requested Publication


Citation

Ayob, M and Kendall, G The optimisation of the single surface mount device placement machine in printed circuit board assembly: a survey. International Journal of Systems Science, 40 (6): 553-569, 2009.


Abstract

This article surveys research on the single surface mount device (SMD) placement machine optimisation problem. We classify the optimisation problem into five sub-problems: feeder setup, component placement sequencing, nozzle optimisation, component retrieval plan and motion control; and analyse issues relevant to each of these. One of the aims of this article is to provide guidance to other researchers and gain a deeper understanding of the various optimisation issues that arise in this domain. This could lead to the design of improved heuristics, which are more appropriate to the real-world scheduling problem of the SMD placement machine.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1080/00207720902777964 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 (2.100), 2013 (1.579), 2012 (1.305), 2011 (0.991), 2010 (0.948), 2009 (0.918), 2008 (0.634), 2007 (0.492), 2006 (0.343), 2005 (0.212), 2004 (0.239), 2003 (0.370), 2002 (0.305), 2001 (0.268), 2000 (0.290)

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{ak2009a, author = {M. Ayob and G. Kendall},
title = {The optimisation of the single surface mount device placement machine in printed circuit board assembly: a survey},
journal = {International Journal of Systems Science},
year = {2009},
volume = {40},
pages = {553--569},
number = {6},
abstract = {This article surveys research on the single surface mount device (SMD) placement machine optimisation problem. We classify the optimisation problem into five sub-problems: feeder setup, component placement sequencing, nozzle optimisation, component retrieval plan and motion control; and analyse issues relevant to each of these. One of the aims of this article is to provide guidance to other researchers and gain a deeper understanding of the various optimisation issues that arise in this domain. This could lead to the design of improved heuristics, which are more appropriate to the real-world scheduling problem of the SMD placement machine.},
doi = {10.1080/00207720902777964},
issn = {0020-7721},
keywords = {scheduling, heuristic, printed circuit board assembly, component placement sequencing, feeder setup},
owner = {est},
timestamp = {2010.02.22},
webpdf = {http://www.graham-kendall.com/papers/ak2009a.pdf} }