Product Cost Management Structures: a review and neural network modelling

Article


Jha, P. P., Montague, G., Glassey, J. and Mohan, P. 2003. Product Cost Management Structures: a review and neural network modelling. Australasian Journal of Information Systems. 11 (1), pp. 76-90. https://doi.org/10.3127/ajis.v11i1.140
AuthorsJha, P. P., Montague, G., Glassey, J. and Mohan, P.
Abstract

This paper reviews the growth of approaches in product costing and draws synergies with information management and resource planning systems, to investigate potential application of state of the art modelling techniques of neural networks. Increasing demands on costing systems to serve multiple decision-making objectives, have made it essential to use better techniques for analysis of available data. This need is highlighted in the paper. The approach of neural networks, which have several analogous facets to complement and aid the information demands of modern product costing, Enterprise Resource Planning (ERP) structures and the dominant-computing environment (for information management in the object oriented paradigm) form the domain for investigation. Simulated data is used in neural network applications across activities that consume resources and deliver products, to generate information for monitoring and control decisions. The results in application for feature extraction and variation detection and their implications are presented in the paper.

JournalAustralasian Journal of Information Systems
Journal citation11 (1), pp. 76-90
ISSN1449-8618
Year2003
PublisherAustralasian Chapter of the Association for Information Systems (AAIS)
Digital Object Identifier (DOI)https://doi.org/10.3127/ajis.v11i1.140
Publication dates
Print2003
Publication process dates
Deposited04 Sep 2024
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