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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 9
2690-2698

Port logistics process mining method and application towards root cause analytics of process deviations

Cai Min1
Wang Xuetao1
Song Rongjia1
Liu Cong2
Luo Xinggang1
Huang Lei3
1. Experimental Center of Data Science & Intelligent Decision Making, School of Management, Hangzhou Dianzi University, Hangzhou 310018, China
2. School of Computer Science & Technology, Shandong University of Technology, Zibo Shandong 255000, China
3. School of Economics & Management, Beijing Jiaotong University, Beijing 100044, China
DOI: 10.19734/j.issn.1001-3695.2023.12.0622

Abstract

Port logistics is a highly human-centered, complex and flexible business process. Existing research on process mining has the problem of automatically discovering low quality process models, and lacks support for systematic root cause analysis of process deviations, which results in a weak ability to analyze process deviations in ports. To address this issue, this paper proposed a process mining method framework for root cause analysis of process deviation in port logistics. The method was based on event logs for port logistics activity statistics, used Split Miner and Inductive Miner to discover the actual process model, used the alignment method to identify the process deviation, combined the classification decision tree and Sankey diagram to conduct root cause analysis on process deviations. Through the practical application in a large port logistics pick-up process, the results show that the method can discover more details of the actual execution process to provide support for the root cause analysis of process deviation, and carry out a systematic root cause analysis of process deviation. The method strengthens the capability of analyzing process deviations in port logistics, which in turn reduces the risk of port logistics management.

Foundation Support

国家自然科学基金资助项目(72371086,72171064,61902222)
山东省泰山学者工程专项基金资助项目(tsqn201909109)
山东省自然科学基金优秀青年基金项目(ZR2021YQ45)
山东省高等学校青创科技计划创新团队项目(2021KJ031)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.12.0622
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 9
Section: Algorithm Research & Explore
Pages: 2690-2698
Serial Number: 1001-3695(2024)09-018-2690-09

Publish History

[2024-03-19] Accepted Paper
[2024-09-05] Printed Article

Cite This Article

蔡敏, 王学涛, 宋容嘉, 等. 面向流程偏差根因分析的港口物流流程挖掘方法及应用 [J]. 计算机应用研究, 2024, 41 (9): 2690-2698. (Cai Min, Wang Xuetao, Song Rongjia, et al. Port logistics process mining method and application towards root cause analytics of process deviations [J]. Application Research of Computers, 2024, 41 (9): 2690-2698. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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