Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019

Research Article

Refactor Business Process Models for Efficiency Improvement

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  • @INPROCEEDINGS{10.1007/978-3-030-48513-9_37,
        author={Fei Dai and Miao Liu and Qi Mo and Bi Huang and Tong Li},
        title={Refactor Business Process Models for Efficiency Improvement},
        proceedings={Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019},
        proceedings_a={CLOUDCOMP},
        year={2020},
        month={6},
        keywords={Business process model Efficiency improvement Refactor Petri net},
        doi={10.1007/978-3-030-48513-9_37}
    }
    
  • Fei Dai
    Miao Liu
    Qi Mo
    Bi Huang
    Tong Li
    Year: 2020
    Refactor Business Process Models for Efficiency Improvement
    CLOUDCOMP
    Springer
    DOI: 10.1007/978-3-030-48513-9_37
Fei Dai, Miao Liu1, Qi Mo,*, Bi Huang2, Tong Li
  • 1: Yunnan University
  • 2: Southwest Forestry University
*Contact email: moqiyueyang@163.com

Abstract

Since business processes describe the core value chain of enterprises, thousands of business processes are modeled in business process models. A problem is how to improve the efficiency of these models. In this paper, we propose an approach to refactor these models for efficiency improvement. More specifically, we first identify false sequence relations that affect model efficiency based on the sequence relation matrix and the dependency relation matrix. Second, we refactor a business process model by constructing and transforming a dependency graph without altering its output result. After refactoring, the concurrent execution of business tasks in the original models can be maximized such that its efficiency can be improved. Experimental results show the effectiveness of our approach.