Ontology-based decision tree model for prediction in a manufacturing network

Journal article


Khan, Z. M. A., Saeidlou, S. and Saadat, M. 2019. Ontology-based decision tree model for prediction in a manufacturing network. Production and Manufacturing Research. 7 (1), pp. 335-349. https://doi.org/10.1080/21693277.2019.1621228
AuthorsKhan, Z. M. A., Saeidlou, S. and Saadat, M.
Abstract

This paper aims to create a predictive model, which will assist in the allocation of newly received orders in a manufacturing network. The manufacturing network, which is taken as a case study in this research, consists of more than 300 small manufacturing enterprises with a central company as the project managing integrator. The methodology presents the mapping of a PROSA (Product-Resource-Order-Staff Architecture) based ontology model on a decision tree, which was created with the Waikato Environment for Knowledge Analysis (WEKA) application. Furthermore, the methodology also demonstrates the formulation of the Semantic Web Rule Language (SWRL) rules from the WEKA decision tree with the help of MATLAB programming. The paper validated the result generated by the ontology model with the results of the decision tree model.

KeywordsPredictive model; Ontology; Decision tree; Waikato environment for knowledge analysis WEKA; Protégé
Year2019
JournalProduction and Manufacturing Research
Journal citation7 (1), pp. 335-349
PublisherTaylor and Francis Online
ISSN2169-3277
Digital Object Identifier (DOI)https://doi.org/10.1080/21693277.2019.1621228
Official URLhttps://www.tandfonline.com/doi/full/10.1080/21693277.2019.1621228
Publication dates
Print30 May 2019
Publication process dates
Accepted27 Mar 2019
Deposited01 Jul 2021
Publisher's version
License
Output statusPublished
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https://repository.canterbury.ac.uk/item/8y1qw/ontology-based-decision-tree-model-for-prediction-in-a-manufacturing-network

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