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Development of an Automated Storage and Retrieval System
in a Dynamic Knowledge Environment
Liam O’ Shea BEng (Mech.)
MSc
Waterford Institute of Technology
Internal Supervisor: Mr. David Walsh
Submitted to Waterford Institute of Technology, June 2007.
Declaration
Development of an Automated Storage and Retrieval System in a Dynamic
Knowledge Environment.
Presented to: Mr. David Walsh
Department of Engineering Technology
Waterford Institute of Technology
This Thesis is presented in fulfilment of the requirements for the degree of Masters of
Science. It is entirely of my own work and has not been submitted to any other college
or higher institution, or for any other academic award in this College. Where use has
been made of the work of other people it has been fully acknowledged and fully
referenced.
Signed: _______________
Liam O’ Shea
Date: ______________
II
Abstract
This thesis summarises the development of an Automatic Storage and Retrieval
System (ASRS) test-bed at Waterford Institute of Technology (WIT) within a
dynamic knowledge environment.
The ASRS developed consists of control hardware and software communicating over
a Fieldbus network. A simulation model of the WIT ASRS (capable of modelling any
similar hi-bay storage system) and an order generator were also developed and these
are linked to a database and a results spreadsheet.
This ASRS allows for a range of control strategies and order types to be investigated
utilising the order generator and the database. There was also a facility developed
which allows this mathematical model to run the actual requirements that the ASRS
physical model works with, this allows for complete correlation between both models.
The development of a mathematical model plus a physical model ensures better
understanding of ASRS making the sequence of operations obvious and helping to
clarify the broad range of strategies to interested parties.
The best recorded performance was with current dwell point, simultaneous travel,
dual control, free-nearest storage and nearest retrieval strategies selected in
combination. In general, dual control improved performance (in terms of throughput),
simultaneous travel was found to be better than rectilinear travel, dwell point at origin
gave very poor results, and a dwell point at current, pick point or deposit point
appears best.
Within the Knowledge environment a number of findings were made including: the
development of a physical model is hugely beneficial to the acquisition of tacit
knowledge by the chief researcher and supervisor and greatly benefits the
development of undergraduate students (3 groups). The greater the volume of tacit
and explicit knowledge available the faster the up-take for the students in a structured
knowledge environment. There are great benefits to the college research centre by
having a full time researcher in this area especially when the subject matter becomes
complex, the learning curve for students can then be very steep.
III
Acknowledgements
I would like to thank those who gave help and advice during the course of this project.
Their help proved invaluable.
I would like, in particular, to thank my supervisor, David Walsh for his continuous
help, encouragement and guidance and also the following people whose help I greatly
appreciated:
Mr. Joseph Phelan Lecturer
Mr. Ned Cullinan Lecturer
Mr. Paul Allen Lecturer
Mr. Albert Byrne Head of Department of Engineering Technology
Mr. Denis Moran Head of School of Engineering
Mr. Mark Maher Manufacturing Technician
Mr. Billy Walsh Electronic Technician
Mr. Alan Nagle Manufacturing Technician
Mr. Paul O’ Mahoney
I would especially like to thank my wife, Kay, for all her love and on-going life
support and our 3 great daughters, Niamh, Roisin and Grainne for everything they
have brought to my life. I would also like to acknowledge the help, encouragement
and support I got from my parents, brothers and sisters.
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