Prediction of packaging life-cycle design performance

Title:
Prediction of packaging life-cycle design performance
Creator:
Gupta, Surendra M. (Author)
Jarupan, Lerpong (Author)
Kamarthi, Sagar V. (Author)
Language:
English
Publisher:
Omnipress
Copyright date:
2005
Type of resource:
Text
Genre:
Articles
Format:
electronic
Digital origin:
born digital
Abstract/Description:

We develop a back-propagation neural network (BPN) to predict the life-cycle design performance for transport packaging. The BPN is constructed and trained on the packaging design attributes to detect hidden relationships among historical or pre-existing life-cycle design data to predict a new concept design through supervised learning, by minimizing the squared difference between the actual and the predicted life-cycle design performance. To this end, the designer could use the predicted life-cycle design in a trade-off analysis and concept selection for a potential packaging design. A case example is used to illustrate the methodology.

Comments:

Originally published in the Proceedings of the 2005 Northeast Decision Sciences Institute Conference, Philadelphia, Pennsylvania, March 30-April 1, 2005 (CD-ROM)

Subjects and keywords:
Production engineering
Back-propagation neural network (BPN)
life-cycle design
transport packaging
Engineering

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