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 am involved with a spin out company that specialises in Strategic Resource Planning
http://bit.ly/eTPZO2
I have published a few papers on Sports Scheduling.
http://bit.ly/gVaUqT

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Numberphile (Statistics on Match Day)

Publication(s)

Solving Multi-objective Optimisation Problems Using the Potential Pareto Regions Evolutionary Algorithm
RATE_LIMIT_EXCEEDED
Handling diversity in evolutionary multiobjective optimization
RATE_LIMIT_EXCEEDED
Evaluating the performance of a EuroDivisia index using artificial intelligence techniques
RATE_LIMIT_EXCEEDED
An Investigation of an Adaptive Poker player
RATE_LIMIT_EXCEEDED

Graham Kendall: Details of Requested Publication


Citation

Ayob, M and Kendall, G A nozzle selection heuristic to optimise the hybrid pick and place machine. In Proceedings of the 2004 IEEE Conference on Cybernetics and Intelligent Systems, pages 1259-1264, Singapore, 2004.


Abstract

In this paper, we present a constructive heuristic to optimise the component pick and place operations of a hybrid pick and place machine, which is a new type of surface mount device placement machine. Since a nozzle change operation is very expensive (it significantly adds to the overall assembly time), the heuristic gives highest priority to minimising the number of nozzle changes. The ordered nozzle selection heuristic begins by choosing the best nozzle pair that is most effective for picking and placing components onto the printed circuit board (PCB). Next, we schedule all pairs of PCB points, that are expecting components from the chosen nozzle pair. Then the nozzle pairs are re-ranked based on the availability of component feeders and the PCB points that need to be scheduled. Again, the best nozzle pair is chosen and the previous steps are repeated. When none of the selected nozzle pairs can pick and place two components in a sub tour, we schedule the one component sub tour. Finally, when all the available PCB points, have been scheduled, we then reoptimise the schedule by minimising the nozzles changes. Computational results are presented


pdf

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doi

The doi for this publication is 10.1109/ICCIS.2004.1460772 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



URL

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Bibtex

@INPROCEEDINGS{ak2004, author = {M. Ayob and G. Kendall},
title = {A nozzle selection heuristic to optimise the hybrid pick and place machine},
booktitle = {Proceedings of the 2004 IEEE Conference on Cybernetics and Intelligent Systems},
year = {2004},
pages = {1259--1264},
address = {Singapore},
month = {1-3 December},
abstract = {In this paper, we present a constructive heuristic to optimise the component pick and place operations of a hybrid pick and place machine, which is a new type of surface mount device placement machine. Since a nozzle change operation is very expensive (it significantly adds to the overall assembly time), the heuristic gives highest priority to minimising the number of nozzle changes. The ordered nozzle selection heuristic begins by choosing the best nozzle pair that is most effective for picking and placing components onto the printed circuit board (PCB). Next, we schedule all pairs of PCB points, that are expecting components from the chosen nozzle pair. Then the nozzle pairs are re-ranked based on the availability of component feeders and the PCB points that need to be scheduled. Again, the best nozzle pair is chosen and the previous steps are repeated. When none of the selected nozzle pairs can pick and place two components in a sub tour, we schedule the one component sub tour. Finally, when all the available PCB points, have been scheduled, we then reoptimise the schedule by minimising the nozzles changes. Computational results are presented},
doi = {10.1109/ICCIS.2004.1460772},
keywords = {PCB, Printed Circuit Board Assembly, PCB Assembly, heuristic, surface mount device},
timestamp = {2007.03.29},
webpdf = {http://www.graham-kendall.com/papers/ak2004.pdf} }