Auditing Data Reliability in International Logistics - An Application of Bayesian Networks

  title={Auditing Data Reliability in International Logistics - An Application of Bayesian Networks},
  author={Lingzhe Liu and Hennie A. M. Daniels and Ron Triepels},
Data reliability closely relates to the risk management in international logistics. Unreliable data negatively affect the business in various ways. Due to the competence specialization and cooperation among the business partners in a logistics chain, the business in a focal company is inevitably dependent on external data sources from its partner, which is impractical to control. In this paper, we present a research-in-progress on an analysis method with Bayesian networks. The goal is to… 

Figures and Tables from this paper

Detecting shipping fraud in global supply chains using probabilistic trajectory classification
A framework will be built for freight forwarders to set up classifiers for the purpose of predicting fraudulent shipment trajectories to improve the effectiveness by which customs compliance is enforced and show how cargo trajectories can be efficiently classified.


Mitigating supply chain risk through improved confidence
Today's marketplace is characterised by turbulence and uncertainty. Market turbulence has tended to increase for a number of reasons. Demand in almost every industrial sector seems to be more
Explanatory Business Analytics in OLAP
The authors describe how exceptional values at any level in the data, can be automatically detected by statistical models and a generic model for diagnosis of atypical values is realized in the OLAP context.
Integrity of Supply Chain Visibility: Linking Information to the Physical World
Control measures to ensure integrity of supply chain information and the related goods flow consist of three components: only trusted traders take part, physical and organizational control measures mitigate the risk that events in the real world do not correspond to the reported transactions.
Enhancing Visibility in International Supply Chains: The Data Pipeline Concept
The data pipeline concept is an IT innovation to enable capturing data at the source that accesses existing information systems used by the parties in international supply chains and the need for a public-private governance model that has to accompany the technical innovation is identified.
An exploration of supplier selection practices across the supply chain
Study and applications of data mining to the structure risk analysis of customs declaration cargo
  • Yanhai Li, Linyan Sun
  • Business
    IEEE International Conference on e-Business Engineering (ICEBE'05)
  • 2005
The cluster method of data mining is used in this paper to divide the cargo into seven types, thus customs can put the mainly inspection force to the high risk level cargo.
Detecting and Explaining Business Exceptions for Risk Assessment
The concepts of automatic analysis for the exceptional patterns which are hidden in a large set of business data, which are interesting to be investigated further for their causes and explanations are described.
Port Choice and Freight Forwarders
A general model for automated business diagnosis
Classification Model Based on Association Rules in Customs Risk Management Application
  • W. Yaqin, Song Yuming
  • Computer Science
    2010 International Conference on Intelligent System Design and Engineering Application
  • 2010
A classification model is established to predict the risk of commodity through customs clearance and form the reference for customs inspection and monitoring and put forward a classification data mining method based on association rules.