Artificial neural networks as cost engineering methods in a collaborative manufacturing environment

Artificial neural networks as cost engineering methods in a collaborative manufacturing environment

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Article ID: iaor20081673
Country: Netherlands
Volume: 109
Issue: 1/2
Start Page Number: 53
End Page Number: 64
Publication Date: Jan 2007
Journal: International Journal of Production Economics
Authors:
Keywords: neural networks, statistics: experiment
Abstract:

To support the complexity of the modern manufacturing environment it is vital that cost modeling under a collaborating network of companies is developed. In this paper a cost model development process is described and a novel cost modeling technology artificial neural network (ANN) is developed. The ANN has the ability to learn and respond in producing cost estimates for manufacturing processes and also seeks to find new patterns within existing cost data for forecasting and ranking which makes intelligent computing a viable option in moving the modeling process forward. A series of experiments were undertaken to select an appropriate network structure for estimating the cost within the production network and the model is validated through a case study. Trial and error cost estimating would possibly be made easier within a linguistic and intuitive framework.

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