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Acquiring logistics process intelligence: methodology and an application for a Chinese bulk port
Wang, Y.; Caron, F.; Vanthienen, J.; Huang, L.; Guo, Y. (2014). Acquiring logistics process intelligence: methodology and an application for a Chinese bulk port. Exp. Syst. Appl. 41(1): 195-209. hdl.handle.net/10.1016/j.eswa.2013.07.021
In: Expert Systems With Applications. Elsevier: New York; Oxford. ISSN 0957-4174, more
Peer reviewed article  

Available in Authors 

Author keywords
    Logistics process; Process mining; Knowledge discovery; Logistics process intelligence

Authors  Top 
  • Wang, Y.
  • Caron, F.
  • Vanthienen, J.
  • Huang, L.
  • Guo, Y.

Abstract
    The processes of logistics service providers are considered as highly human-centric, flexible and complex. Deviations from the standard operating procedures as described in the designed process models, are not uncommon and may result in significant uncertainties. Acquiring insight in the dynamics of the actual logistics processes can effectively assist in mitigating the uncovered risks and creating strategic advantages, which are the result of uncertainties with respectively a negative and a positive impact on the organizational objectives. In this paper a comprehensive methodology for applying process mining in logistics is presented, covering the event log extraction and preprocessing as well as the execution of exploratory, performance and conformance analyses. The applicability of the presented methodology and roadmap is demonstrated with a case study at an important Chinese port that specializes in bulk cargo.

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