posted on 2013-03-07, 13:50authored byHarkamal Monon
This M.Sc research project is inherently concerned with the interactive
development of software and hardware for the purposes of constructing
a microprocessor-based event monitoring and analysis system. This
system is intended to enhance the level of certainty associated with
metal detection at Pedigree Petfoods Limited.
The greater the levels of certainty and confidence, then the lower
the cost, in terms of taking action on incorrect managerial decisions,
based upon a system which generates a low level· of confidence. Additionally,
an increased level of confidence in the metal detection instruments
will eventually lead to fewer 'unwanted' metallic contaminants passing
to the final canning stage. Thus resulting in fewer customer complaints,
and therefore, assisting in the building up of the company's image, and
ensuring customer satisfaction.
The author also feels that this particular project may also provide
the initial impetus for future enhancements to Pedigree Petfoods
methods of monitoring process variables. The microprocessor-based metal
detection system, designed and produced within this project, could be
utilised to a much further extent, for instance, by:
(i) Monitoring more than one production line and one metal detector.
(ii) Providing detailed reports and summaries, not only on metal
detection, but additionally, on production and stock levels.
Thus acting as an effective managerial tool which is freely accessible .
. The system may also be employed as a statistical tool, as
1
the microprocessor
is not only capable of acting as a monitoring and data storage instrument,
but is capable of analysis and report generation. Thus scope does exist
for furhter work in this field, which would be beneficial in many respects.
The microprocessor-based metal detection system produced could also
be used to enhance the capabilities of the Rank Cintel metal detector,
which is an instrument prefered by Pedigree Petfoods. Such enhancements
could widen the general application of computer based metal detection.
History
School
Mechanical, Electrical and Manufacturing Engineering