4.3 Article

Business process architectures: overview, comparison and framework

期刊

ENTERPRISE INFORMATION SYSTEMS
卷 10, 期 2, 页码 129-158

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/17517575.2014.928951

关键词

business process; business process architecture; business process model; enterprise model; case study

向作者/读者索取更多资源

With the uptake of business process modelling in practice, the demand grows for guidelines that lead to consistent and integrated collections of process models. The notion of a business process architecture has been explicitly proposed to address this. This paper provides an overview of the prevailing approaches to design a business process architecture. Furthermore, it includes evaluations of the usability and use of the identified approaches. Finally, it presents a framework for business process architecture design that can be used to develop a concrete architecture. The use and usability were evaluated in two ways. First, a survey was conducted among 39 practitioners, in which the opinion of the practitioners on the use and usefulness of the approaches was evaluated. Second, four case studies were conducted, in which process architectures from practice were analysed to determine the approaches or elements of approaches that were used in their design. Both evaluations showed that practitioners have a preference for using approaches that are based on reference models and approaches that are based on the identification of business functions or business objects. At the same time, the evaluations showed that practitioners use these approaches in combination, rather than selecting a single approach.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Computer Science, Information Systems

Enabling efficient process mining on large data sets: realizing an in-database process mining operator

Remco Dijkman, Juntao Gao, Alifah Syamsiyah, Boudewijn van Dongen, Paul Grefen, Arthur ter Hofstede

DISTRIBUTED AND PARALLEL DATABASES (2020)

Article Chemistry, Multidisciplinary

The HORSE Project: The Application of Business Process Management for Flexibility in Smart Manufacturing

Jonnro Erasmus, Irene Vanderfeesten, Konstantinos Traganos, Ruud Keulen, Paul Grefen

APPLIED SCIENCES-BASEL (2020)

Article Computer Science, Information Systems

Fast and accurate quantitative business process analysis using feature complete queueing models

Sander Peters, Yoav Kerner, Remco Dijkman, Ivo Adan, Paul Grefen

Summary: Quantitative business process analysis is a powerful approach for analyzing timing properties of a business process. This paper presents a novel technique based on queueing models that outperforms existing models on accuracy, with low computational cost. The resulting queueing model can be used for fast and accurate timing predictions of business process models.

INFORMATION SYSTEMS (2022)

Article Engineering, Industrial

The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing

Konstantinos Traganos, Paul Grefen, Irene Vanderfeesten, Jonnro Erasmus, Georgios Boultadakis, Panagiotis Bouklis

Summary: In the Industry 4.0 era, manufacturers remain competitive by integrating advanced technologies, with the HORSE framework serving as a reference architecture for effective management of manufacturing processes and vertical control of technologies in manufacturing organizations.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

Article Business

The influence of BPM-supportive culture and individual process orientation on process conformance

Minou Benraad, Baris Ozkan, Oktay Turetken, Irene Vanderfeesten

Summary: This study investigates the influence of BPM-supportive culture and individual process orientation on process conformance. The results show that the BPM-supportive culture plays a key role in influencing both individual process orientation and conformance. Additionally, individual process orientation also has a significant impact on process conformance. These findings provide additional evidence for the importance of human-related aspects in achieving BPM success.

BUSINESS PROCESS MANAGEMENT JOURNAL (2022)

Article Computer Science, Software Engineering

Context-aware modeling for knowledge-intensive medicinal product development processes

Zeynep Ozturk Yurt, Rik Eshuis, Anna Wilbik, Irene Vanderfeesten

Summary: This paper presents an explorative case study using enterprise modeling and context-aware business processes to support ATMP scientists in managing the regulatory aspects of ATMP development processes more efficiently and effectively. By introducing context-awareness to the models, relevant tasks can be performed under different contexts to address regulatory requirements efficiently and effectively, with the introduction of the novel concept of execution-dependent dynamic context.

SOFTWARE AND SYSTEMS MODELING (2023)

Article Engineering, Electrical & Electronic

Towards Customer Outcome Management in Smart Manufacturing

Paul Grefen, Irene Vanderfeesten, Anna Wilbik, Marco Comuzzi, Heiko Ludwig, Estefania Serral, Frank Kuitems, Menno Blanken, Marcin Pietrasik

Summary: The outcome economy is a new economic and business paradigm that prioritizes the effects of products and services for customers, rather than their features. In this paper, a framework is proposed to integrate the outcome economy with smart manufacturing, providing a comprehensive structure for customer outcome management from both business and digital technology perspectives. A feedback loop is established to support data-driven product evolution, manufacturing, and delivery. A business reference framework is proposed as a blueprint for designing practical scenarios, utilizing technologies such as the internet of things, business intelligence, blockchain, and business process management. The integration of dispersed research fields and the structured design and implementation of customer outcome management in smart manufacturing are discussed with a visionary case study in the automotive domain.

MACHINES (2023)

Article Computer Science, Artificial Intelligence

Towards a Flexible Assessment of Compliance with Clinical Protocols Using Fuzzy Aggregation Techniques

Anna Wilbik, Irene Vanderfeesten, Dennis Bergmans, Serge Heines, Oktay Turetken, Walther van Mook

Summary: In healthcare settings, compliance with clinical protocols and medical guidelines is important for high-quality treatment. This paper proposes new metrics for measuring compliance, using fuzzy aggregation techniques. These metrics consider the degree of compliance with activities, the compliance of patients, and the importance of activities. Applied to clinical protocols, these metrics help assess the effectiveness of implemented protocols in terms of compliance.

ALGORITHMS (2023)

Proceedings Paper Computer Science, Information Systems

A Method for Integrated Modeling of KiPs and Contextual Goals

Zeynep Ozturk Yurt, Rik Eshuis, Banu Aysolmaz, Anna Wilbik, Irene Vanderfeesten

Summary: Knowledge-intensive processes (KiPs) are flexible in achieving process goals. Contextual factors such as location and regulations impact how these goals are achieved in KiPs. For some KiPs, the context can be dynamic, meaning that it can change during the execution of the process based on the decisions and interpretations of the knowledge-worker. A holistic approach that links dynamic context, goals, and processes is crucial in modeling such KiPs. This paper presents a method for integrated modeling of KiPs with contextual goals under dynamic contexts, using enterprise models.

COOPERATIVE INFORMATION SYSTEMS (COOPIS 2022) (2022)

Proceedings Paper Computer Science, Information Systems

Guiding Knowledge Workers Under Dynamic Contexts

Zeynep Ozturk Yurt, Rik Eshuis, Anna Wilbik, Irene Vanderfeesten

Summary: A knowledge-intensive process is a flexible process where knowledge workers have control over actions, but the context of a business process impacts goal fulfillment. This paper presents a method that provides prioritization ranking for tasks to help knowledge workers efficiently collect information in dynamic contexts.

ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2022) (2022)

Article Engineering, Electrical & Electronic

Advancing Smart Manufacturing in Europe: Experiences from Two Decades of Research and Innovation Projects

Paul Grefen, Irene Vanderfeesten, Kostas Traganos, Zuzanna Domagala-Schmidt, Julia van der Vleuten

Summary: This paper provides an overview of four connected projects in Europe aimed at advancing smart manufacturing, sharing application cases and lessons learned. It guides future research and industrial innovation in the smart industry domain.

MACHINES (2022)

Proceedings Paper Business

A Mass Customization Approach to Business Process Modularization

Ton Soetekouw, Paul Grefen, Oktay Turetken, Irene Vanderfeesten

Summary: The article discusses the importance of organizations' capacity to deal with changing market and societal conditions for success and how mass customization can support business process modularization.

2021 IEEE 23RD CONFERENCE ON BUSINESS INFORMATICS, CBI 2021, VOL 2 (2021)

Proceedings Paper Computer Science, Hardware & Architecture

Context-Aware Process Modelling for Medicinal Product Development

Zeynep Ozturk Yurt, Rik Eshuis, Anna Wilbik, Irene Vanderfeesten

Summary: Advanced Therapy Medicinal Products (ATMPs) are highly innovative medicinal products based on biomedical technology, with development processes that require compliance with complex regulatory frameworks. This paper explores how enterprise modelling and context-aware business processes can support ATMP scientists in efficiently managing the regulatory aspects of ATMP development. Using enterprise models, context-awareness is introduced to provide regulatory-based guidance for addressing regulatory requirements efficiently and effectively.

PRACTICE OF ENTERPRISE MODELING, POEM 2021 (2021)

Proceedings Paper Business

A Real-Time Method for Detecting Temporary Process Variants in Event Log Data

Sudhanshu Chouhan, Anna Wilbik, Remco Dijkman

Summary: During business process execution, mistakes and changes introduced by organizations or employees can lead to anomalies in event logs, which create temporary and periodic process variants. An early identification of these deviations from common cases can help organizations take action, and a method has been developed to classify cases into different categories for real-time discovery of process changes in event log data. The method was evaluated using synthetic and real-world data with promising results.

BUSINESS PROCESS MANAGEMENT (BPM 2021) (2021)

Proceedings Paper Computer Science, Interdisciplinary Applications

Tackling Uncertainty in Online Multimodal Transportation Planning Using Deep Reinforcement Learning

Amirreza Farahani, Laura Genga, Remco Dijkman

Summary: In this study, Deep Reinforcement Learning was used to address the container allocation problem in multimodal transportation planning under uncertainty, with results showing its superiority over other methods in terms of total transportation costs across different levels of uncertainty. The experiments demonstrated that the proposed approach outperformed heuristics, stochastic programming, and periodic re-planning methods, achieving an average cost difference with the optimal solution within the range of 0.37% to 0.63%.

COMPUTATIONAL LOGISTICS (ICCL 2021) (2021)

暂无数据