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22nd International Conference on Business process Management (BPM)

作者： Vidgof, Maxim Vienna Univ Econ & Business Welthandelspl 1 A-1020 Vienna Austria

ISBN: (纸本)9783031786655;9783031786662

process mining is concerned with extracting knowledge about business processes based on digital traces left during their execution. Most existing process mining methods are focused on stable processes. However, processes tend to change over time in response to changing regulations or market conditions but also due to internal dynamics. Concept drift is a phenomenon in process mining when a process changes during the timeframe when it is analyzed. Following the change in how a process is executed, process complexity also changes over time. Despite this apparent connection, the relationship between these concepts have not been explicitly studied. In this paper, some theoretical considerations on how concept drift can be reflected in process complexity are presented. These considerations are then evaluated using artificial and real-life event logs. The results support the considerations and invite a multitude of questions for future research.

关键词： process complexity Concept drift process mining

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The connection between process complexity of event sequences and models discovered by process mining

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INFORMATION SCIENCES 2022年 598卷 196-215页

作者： Augusto, Adriano Mendling, Jan Vidgof, Maxim Wurm, Bastian Univ Melbourne Parkville Vic 3010 Australia Humboldt Univ Unter Linden 6 D-10099 Berlin Germany Vienna Univ Econ & Business Adm Welthandelspl 1 A-1020 Vienna Austria

process mining is a research area focusing on the design of algorithms that can automatically provide insights into business processes. Among the most popular algorithms are those for automated process discovery, which have the ultimate goal to generate a process model that summarizes the behavior recorded in an event log. Past research had the aim to improve process discovery algorithms irrespective of the characteristics of the input log. In this paper, we take a step back and investigate the connection between measures capturing characteristics of the input event log and the quality of the discovered process models. To this end, we review the state-of-the-art process complexity measures, propose a new process complexity measure based on graph entropy, and analyze this set of complexity measures on an extensive collection of event logs and corresponding automatically discovered process models. Our analysis shows that many process complexity measures correlate with the quality of the discovered process models, demonstrating the potential of using complexity measures as predictors of process model quality. This finding is important for process mining research, as it highlights that not only algorithms, but also connections between input data and output quality should be studied. (c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC

关键词： process complexity Event sequence data Event logs process mining Graph entropy Automated process discovery

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The Impact of process complexity on process Performance: A Study Using Event Log Data 21st

The Impact of Process Complexity on Process Performance: A S...

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21st International Conference on Business process Management (BPM)

作者： Vidgof, Maxim Wurm, Bastian Mendling, Jan Vienna Univ Econ & Business Adm Welthandelspl 1 A-1020 Vienna Austria Ludwig Maximilians Univ Munchen LMU Munich Sch Management Ludwigstr 28 D-80539 Munich Germany Humboldt Univ Unter Linden 6 D-10099 Berlin Germany Weizenbaum Inst Hardenbergstr 32 D-10623 Berlin Germany

ISBN: (纸本)9783031416194;9783031416200

complexity is an important characteristic of any business process. The key assumption of much research in Business process Management is that process complexity has a negative impact on process performance. So far, behavioral studies have measured complexity based on the perception of process stakeholders. The aim of this study is to investigate if such a connection can be supported based on the analysis of event log data. To do so, we employ a set of 38 metrics that capture different dimensions of process complexity. We use these metrics to build various regression models that explain process performance in terms of throughput time. We find that process complexity as captured in event logs explains the throughput time of process executions to a considerable extent, with the respective R-squared reaching up to 0.96. Our study offers implications for empirical research on process performance and can serve as a toolbox for practitioners.

关键词： process complexity process performance Throughput time

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Untangling process complexity in logistics delivery services with unpredictable service sequences: a mixed-method study of chemical tanker port calls

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MARITIME POLICY & MANAGEMENT 2019年第3期46卷 344-366页

作者： Wang, Ping Vogt, John Texas A&M Univ Dept Maritime Adm Galveston Campus Galveston TX 77554 USA Univ Houston Downtown Coll Business Houston TX USA

We explore the complexity issue relevant to a logistics service process characterized by unpredictable service stages and service sequences in the context of chemical tankers' call in the Port of Houston. The operational dimensions of uncertainty and conflict surrounding process complexity are examined through a mixed-methods approach using both qualitative and quantitative data collected from the Port of Houston. We propose a taxonomy to classify several uncertainty and conflict factors emerged from our qualitative analysis, including structural conflict, structural uncertainty, infrastructural conflict, and infrastructural uncertainty. The case study findings are validated and triangulated by a quantitative analysis which quantifies the time and cost impacts of unproductive chemical tanker movement on port-call service performance. We contribute to the complexity theory by introducing four dimensions of process complexity to the stream of process-oriented logistics service research. These four complexity dimensions can be used by managers to untangle their process complexity. Our pseudo-service-stage based mapping technique will also be valuable for managers to visualize their service processes with unpredictable service sequences. Finally, we call for future research on synchronization across operational processes between service stages.

关键词： process complexity logistics service delivery pseudo service stage unpredictable service sequence port call mixed-methods

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Leveraging Event Data for Measuring process complexity

Leveraging Event Data for Measuring Process Complexity

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4th International Conference on process Mining (ICPM)

作者： Vidgof, Maxim Mendling, Jan Vienna Univ Econ & Business Adm Welthandelspl 1 A-1020 Vienna Austria Humboldt Univ Unter Linden 6 D-10099 Berlin Germany

ISBN: (纸本)9783031278143;9783031278150

complexity is an important aspect of business processes. Numerous metrics have been introduced to measure process complexity, however, existing metrics view processes merely as sequences of activities, disregarding the corresponding data. This is a major omission since much of the complexity of business processes stems from the variation of data that is associated with it. In this paper, we refer to recent research on how behavioral complexity of business processes can be defined. More specifically, we extend entropy-based complexity metrics such that they are capable of capturing the variation of event data. We provide some first insights into the implications of applying these newly proposed metrics.

关键词： process complexity Event data Graph entropy

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An evaluation of process complexity

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STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING 2001年第1期47卷 15-27页

作者： Horvat, RV Druzovec, TW Rozman, I Sokovic, M Univ Maribor Fac Elect Engn & Comp Sci SLO-2000 Maribor Slovenia Univ Ljubljana Fac Mech Engn Ljubljana 1000 Slovenia

All types of processes can be described as a sequence of activities using a set of required input and output products and resources of different types. Knowing the process in detail ensures that evaluations of the required effort for projects - conducted on the basis of a described process model - are more accurate. The Software process complexity Model (SoPCoM) described in this paper provides a mechanism for the description of a process in Petri-nets notation. Attributes defined in the SopCoM enable an evaluation of the complexity of each process element as well as the complexity of the process as a whole. The relative complexity of each activity is a basis for an evaluation of the effort of individual projects, conducted according to the process model. The SoPCoM was developed at the University of Maribor. (C) 2001 Journal of Mechanical Engineering. All rights reserved.

关键词： processes process model process complexity Petri nets

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A Model for Assessing the process complexity in Engineering Projects

A Model for Assessing the Process Complexity in Engineering ...

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2019 3rd International Conference on Informatization in Education,Management and Business(IEMB 2019)

作者： Chen Na School of Shanghai University

Engineering projects manage different processes to achieve the project goal. The more complex the engineering projects are, the more workloads the projects have to deal with. However, the evidences show that complexity not only brings costs and wastes, the complexity can make profits and increase competitive forces. The engineering projects should focus on how to manage the complexity, not avoid them. The paper proposes the complexity-value matrix which includes two indicators, complexity and value of the engineering projects, to manage the whole processes of the projects

关键词： process complexity value stream lean management factor analysis

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Strict process machine complexity

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ARCHIVE FOR MATHEMATICAL LOGIC 2014年第5-6期53卷 525-538页

作者： Toska, Ferit Univ Florida Dept Math Gainesville FL 32611 USA

We introduce a notion of description for infinite sequences and their sets, and a corresponding notion of complexity. We show that for strict process machines, complexity of a sequence or of a subset of Cantor space i... 详细信息

关键词： Computability Algorithmic randomness process complexity

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The impact of psychological safety on improvement capability: the moderating role of manufacturing complexity

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OPERATIONS MANAGEMENT RESEARCH 2025年第1期18卷 400-421页

作者： Anh, Nguyen Ngoc Pham, Thoa Xuan Thi Phan, Anh Chi Matsui, Yoshiki Vietnam Natl Univ Hanoi Int Sch Dept Econ & Management Hanoi Vietnam FPT Univ Fac Bussiness Hanoi Vietnam Vietnam Natl Univ Hanoi Univ Econ & Business Sch Business Adm Hanoi Vietnam Open Univ Japan Dept Liberal Arts Soc & Ind Chiba Japan Yokohama Natl Univ Dept Business Adm Yokohama Japan

Drawing on contingency theory, this study empirically investigates how psychological safety enhances improvement capability (including its maintenance and improvement dimensions) across different levels of manufacturing complexity (product complexity and process complexity). Using a cross-sectional dataset of 330 manufacturing plants from the 4th round of the High-Performance Manufacturing Project, we tested the proposed relationships through moderation analysis. The results indicate that psychological safety has a strong positive impact on improvement capability, particularly in the improvement dimension. Unexpectedly, the findings do not support the moderating effect of manufacturing complexity on the relationship between psychological safety and improvement capability. However, a post hoc analysis reveals that product complexity negatively moderates the relationship between psychological safety and the improvement dimension, suggesting that the effect of psychological safety on the improvement dimension is less salient under conditions of high product complexity. Our findings contribute to continuous improvement and psychological safety literature in two ways: (1) by integrating continuous improvement literature and positive organizational scholarship to empirically examine the facilitating role of psychological safety on improvement capability, and (2) by empirically investigating the efficacious of psychological safety in facilitating improvement capability across different levels of manufacturing complexity.

关键词： Improvement capability Psychological safety Manufacturing complexity Product complexity process complexity High-performance manufacturing

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THE DYNAMICS OF DRIFT IN DIGITIZED processES

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MIS QUARTERLY 2020年第1期44卷 19-47页

作者： Pentland, Brian T. Liu, Peng Kremser, Waldemar Haerem, Thorvald Michigan State Univ Eli Broad Coll Business E Lansing MI 48864 USA Calif State Univ Fullerton Steven G Mihaylo Coll Business & Econ Fullerton CA 92834 USA Radboud Univ Nijmegen Inst Management Res NL-6500 HK Nijmegen Netherlands BI Norwegian Business Sch N-0484 Oslo Norway

This paper uses a simulation to build new theory about complexity and phase change in processes that are supported by digital technologies. We know that digitized processes can drift (change incrementally over time). We simulate this phenomenon by incrementally adding and removing edges from a network that represents the process. The simulation demonstrates that incremental change can lead to a state of self-organized criticality. As the process approaches this state, further incremental change can precipitate nonlinear bursts in process complexity and significant changes in process structure. Digital technology can be designed and used to influence the likelihood and severity of these transformative phase changes. For example, the simulation predicts that systems with adaptive programming are prone to phase changes, while systems with deterministic programming are not. We use the simulation to generate a set of theoretical propositions about the effects of digitization that will be testable in empirical research.

关键词： process complexity complexity bursts self-organized criticality digitized processes

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