LEARNING FROM SUPPLY CHAINS WITH PROBABILISTIC NETWORK MODELS

Authors

  • Han-Ying Kao National Dong Hwa University
  • Chia-Hui Huang Kainan University
  • Chu-Ling Hsu National Dong Hwa University

DOI:

https://doi.org/10.23055/ijietap.2011.18.6.179

Keywords:

supply chain reasoning, probabilistic Boolean networks (PBN), dynamic Bayesian networks (DBN), simulations, computational Intelligence in IE.

Abstract

This paper aims to propose a novel network model, probabilistic Boolean networks (PBN), for supply chain reasoning. We demonstrate how relationships between the variables can be learned from their behaviors and discuss the equivalence between dynamic Bayesian networks (DBN). Compared with the findings of previous investigations, this work emphasizes the advantages of PBN and its roles in leaning DBN in complex temporal settings.

Author Biographies

Han-Ying Kao, National Dong Hwa University

Han-Ying Kao is currently an assistant professor with Department of Computer and Information Science, National Dong Hwa University, Taiwan. She received her Ph.D. degree in information management from National Chiao Tung University, Taiwan. She has 5 years experiences in manufacturing industry and ten years with academic fields. Her current interests are graphical decision models, fuzzy reasoning, supply chain management, information systems, etc. She has published 15 journal articles and over 20 conference papers.

Chia-Hui Huang, Kainan University

Chia-Hui Huang is an assistant professor of the Department of Information Management at Kainan University. He has degrees of Ph.D. in Information Management, National Chiao Tung University, Taiwan and M.S. in Industrial Engineering from University of Wisconsin – Madison. He is the author/coauthor of 9 journal papers, 17 conference papers and 23 books. His publications have covered topics such as Global Optimization, Graphical Decision Model, Supply Chain Management and Network.

Chu-Ling Hsu, National Dong Hwa University

Institute of Learning Technology

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Published

2011-07-14

How to Cite

Kao, H.-Y., Huang, C.-H., & Hsu, C.-L. (2011). LEARNING FROM SUPPLY CHAINS WITH PROBABILISTIC NETWORK MODELS. International Journal of Industrial Engineering: Theory, Applications and Practice, 18(6). https://doi.org/10.23055/ijietap.2011.18.6.179

Issue

Vol. 18 No. 6 (2011)

Section

Supply Chain Management

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