Preliminary communication
Estimation of Time for Manufacturing of Injection Moulds Using Artifi cial Neural Networks-based Model
Blaž FLORJANIČ
orcid.org/0000-0001-7630-9694
; University of Ljubljana, Faculty of Mechanical Engineering, Ljubljana
Karl KUZMAN
; University of Ljubljana, Faculty of Mechanical Engineering, Ljubljana
Abstract
One of the most crucial activities for a successful business is
project time and cost estimation. This is an early estimation
process which is usually handled by highly skilled, in-house
experts. One of the main obstacles in this process is to accurately
defi ne the relationship between product properties and
the machining hours necessary to manufacture the mould. This
article suggests how to address this problem by using artifi cial
neural networks (ANN). The developed model shows that it is
possible to achieve admissible accuracy of the estimation by
using easily obtainable input data.
Keywords
artifi cial neural networks; mould making; injection moulding; estimation process; manufacturing hours
Hrčak ID:
92370
URI
Publication date:
13.11.2012.
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