Acquiring logistics process intelligence: Methodology and an application for a Chinese bulk port |
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| Affiliation: | 1. School of Economics and Management, Beijing Jiaotong University, 100044 Beijing, China;2. Department of Decision Sciences and Information Management, Faculty of Economics and Business, KU Leuven, Naamsestraat 69, 3000 Leuven, Belgium;1. Charlton College of Business, University of Massachusetts – Dartmouth, 285 Old Westport Road, North Dartmouth, MA 02747-2300, USA;2. Department of Management & Marketing,The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, PR China.;1. College of Business Administration, Hunan University, Changsha, Hunan 410082, China;2. Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Beijing 100080, China;3. Department of Management Sciences, City University of Hong Kong, Tat Chee Avenue Kowloon, Hong Kong, China;1. Brunel Business School, Brunel University, Uxbridge UB8 3PH, United Kingdom;2. School of Professional Development, Brunel University, Uxbridge UB8 3PH, United Kingdom;3. Brunel University, Uxbridge UB8 3PH, United Kingdom;4. School of Built Environment, Curtin University, Australia |
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| 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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| Keywords: | Logistics process Process mining Knowledge discovery Logistics process intelligence |
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