Activity Efficiency Model in Business Process Under Conflict Information and Its Application
- DOI
- 10.2991/ijcis.d.201215.004How to use a DOI?
- Keywords
- Activity efficiency model; Conflict information; Business process; Dempster–Shafer theory; Queuing theory
- Abstract
Information transition and sharing is necessary for business process management and multi-source information may cause information conflict and reduce activity efficiency. This paper proposes a novel activity efficiency model in business process under conflict information. First, the evidence theory and Pignistic probability conversion are used to measure the conflict information by the difference sum of the probability conversion function based on the relations among the evidences. Second, the M/M/1 queuing system and the mapping between the conflict coefficient and service time are adopted to set up the single activity efficiency model, which is followed by the key activity efficiency models with respect to the four typical process structures, such as the Sequence structure, OR-Join structure, AND-Join structure and loop structure. Then, for a validation experiment, the road-rail intermodal transport business process is introduced and the container preparation activity of the operator sub-business process is demonstrated. As a result, the conflict information has a clear impact on the container preparation activity efficiency. Finally, it is concluded that the models here achieve to quantify the impact mechanism of conflict information on one activity efficiency, which indicates the activity service optimization direction from the view of information sharing.
- Copyright
- © 2021 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Qiu Xiaoping AU - Li Juan AU - Ruin Fatimah AU - Jiong Chen PY - 2020 DA - 2020/12/21 TI - Activity Efficiency Model in Business Process Under Conflict Information and Its Application JO - International Journal of Computational Intelligence Systems SP - 528 EP - 536 VL - 14 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.d.201215.004 DO - 10.2991/ijcis.d.201215.004 ID - Xiaoping2020 ER -