Fault Detection and Diagnosis for Compliance Monitoring in International Supply Chains

Yuxin Wang, Yifu Tian, André Herdeiro Teixeira, Joris Hulstijn, Yao-hua Tan

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


Currently international supply chains are facing risks concerning faults in compliance, such as altering shipping documentations, fictitious inventory, and inter-company manipulations. In this paper a method to detect and diagnose fault scenarios regarding customs compliance in supply chains is proposed. This method forms part of a general approach called model-based auditing, which is based on a normative meta-model of the movement of money and goods or services. The modeling framework is proposed on compliance monitoring of supply chains with focus on information systems and compliance reporting tools. The innovation lies in the application and mapping of modeling techniques from dynamical systems engineering to business process analysis for audit and supervision purposes. Specifically, the application domain is where money, goods as well as information are transferred between international supply chain partners. A case study of a leading company in electronics manufacturing applying the model is analyzed.
Original languageEnglish
Title of host publicationProceedings of Americas Conference on Information Systems
Publication statusPublished - 2016
EventAmericas Conference on Information Systems - San Diego, United States
Duration: 11 Aug 201614 Aug 2016


ConferenceAmericas Conference on Information Systems
Abbreviated titleAMCIS
Country/TerritoryUnited States
CitySan Diego


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