Analysis and Application of Transition Systems Based on Petri Nets and Relation Matrices to Business Process Management

Han, Dong; Tian, Yinhua

doi:10.1155/2020/2545413

Cited by 3 publications

(5 citation statements)

References 25 publications

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“…𝐶 𝑠 indicates structural complexity. The sum of 𝐶 𝑛 and 𝐶 𝑟 using the coefficient of the correlation 𝜆 yields 𝐶 𝑠 [15]. The incoming and outgoing arcs ratio to the entire connecting arcs of an element is the correlation coefficient.…”

Section: Structural Complexity Based On the Petri Net Modelmentioning

confidence: 99%

“…The structural complexity of a complex system scores closer to 1. An ideal system's structure complexity is approximately 1 2 [15].…”

Section: 𝐶𝑟 =mentioning

confidence: 99%

“…Ouelhadj and Petrovic [14] had reviewed the dynamic schedule of the manufacturing system. Han and Tian [15] have used the Petri net model to improve conformance checking of business process management. The real-time measurements for the responsive traffic signals.…”

Section: Introductionmentioning

confidence: 99%

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The Structural Complexity of Various Elements of Systems

et al. 2022

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This paper is aimed to describe the structural complexity of the traffic light control system. The structural complexity represents an interrelationship indicator between the various elements functions. The traffic light control system has several additional features that are synchronized to the railway doorstop, and the time interval for the green signals is expanded. For determining the method of its structural complexity, the Petri net model is used. Three kinds of traffic lights models are explored, namely standard, Norwegian, and the Norwegian improvement. The study results indicate that the Norwegian traffic lights have the most complex structure when regular implementation. The runner up is the Norwegian improvement. The most ideal is the standard traffic lights. Norwegian improvement is the most ideal when integrated with the railway doorstop and implemented extra green signals time interval. The Norwegian traffic light is the second. The standard traffic lights structural complexity fluctuates. It means that the Norwegian traffic light and its improvement are suitably used. Adding several features improve the structural complexity approaching the ideal system while extra controllers accompany each element. HIGHLIGHTS The Petri net model can represent the structural complexity of a system The method that can measure the structural complexity becomes ideal for actual implementation The Norwegian traffic lights structural complexities and improvements are ideal for the systems synchronized to the railway and appropriate for systems using the extra green signal time intervals or other additional features GRAPHICAL ABSTRACT

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Section: Structural Complexity Based On the Petri Net Modelmentioning

confidence: 99%

“…The structural complexity of a complex system scores closer to 1. An ideal system's structure complexity is approximately 1 2 [15].…”

Section: 𝐶𝑟 =mentioning

confidence: 99%

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The Structural Complexity of Various Elements of Systems

et al. 2022

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“…The complexity of a process model is measured to evaluate its quality, identify the structures suitable for improvement and simplification, guide optimization and the design of processes in business process management, and achieve simpler, more reliable, and robust process models [4]. Process models are usually expressed graphically using Petri nets [5], Event Driven Process Chains (EPCs) [6], and Business Process Model and Notation (BPMN) [7]. Business process complexity involves multiple aspects such as activity complexity [8], control structure complexity [9], resource complexity [10], cognitive complexity [11], etc.…”

Section: Introductionmentioning

confidence: 99%

A Change-Sensitive Complexity Measurement for Business Process Models Based on Control Structure

Zhou

Zhang

Chen

et al. 2023

Systems

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The analysis of the process model complexity has significant implications for the operation, maintenance, and optimization of processes. As process models consist of control structures with specific repetitive patterns, the complexity of the control structures often determines the process model complexity. While the existing methods for measuring the process model complexity consider most control structure complexity, some changes in branch structures cannot be reflected in the process model complexity. To address this issue, this paper considers the impact of the number and position of activities in branching structures on the process model complexity, distinguishes the connection forms between branch structures, and defines the complexity of the branching structures. We propose a new complexity measurement (CP) based on the control structures. The theoretical validity of CPs was confirmed using Weyuker’s properties, and the process structure variant model was used to experiment with its sensitivity. The findings indicate that the CP satisfies eight out of the nine properties proposed by Weyuker. Compared with the other complexity measurement methods of the process model, the CP is more sensitive to some structural changes in the process model. Therefore, when the structure of the process model changes, the CP reflects the changes in the process model complexity more accurately.

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“…e use of business alignment can effectively detect the deviation of clinical pathway [28][29][30]. Compliance checking of complex models has always been a challenging research topic [31]. Adriansyah et al [32] presented a technique which combines the process model and log model into a product model to get optimal alignment.…”

Section: Introductionmentioning

confidence: 99%

Deviation Detection in Clinical Pathways Based on Business Alignment

Tian

et al. 2022

Scientific Programming

Self Cite

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Several unexpected behaviors may occur during actual treatment of clinical pathways, which will have negative impact on the implementation and the future work. To increase the performance of current deviation detection algorithms, a method is presented according to business alignment, which can effectively detect the anomaly in the implementation of the clinical pathways, provide judgment basis for the intervention in the process of the clinical pathway implementation, and play a crucial role in improving the clinical pathways. Firstly, the noise in diagnosis and treatment logs of clinical pathways will be removed. Then, the synchronous composition model is constructed to embody the deviations between the actual process and the theoretical model. Finally, A ∗ algorithm is selected to search for optimal alignment. A clinical pathway for ST-Elevation Myocardial Infarction (STEMI) under COVID-19 is used as a case study, and the superiority and effectiveness of this method in deviation detection are illustrated in the result of experiments.

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Analysis and Application of Transition Systems Based on Petri Nets and Relation Matrices to Business Process Management

Cited by 3 publications

References 25 publications

The Structural Complexity of Various Elements of Systems

The Structural Complexity of Various Elements of Systems

A Change-Sensitive Complexity Measurement for Business Process Models Based on Control Structure

Deviation Detection in Clinical Pathways Based on Business Alignment

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