Necessity for Dynamic Business Process Management in Industry 4.0

2021 ◽  
pp. 64-77
Author(s):  
Marek Szelągowski
Keyword(s):  
Business Process ◽  
Industry 4.0 ◽  
Business Process Management ◽  
Process Management

scholarly journals The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive Industry

2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim
Keyword(s):  
Business Process ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Predictive Maintenance ◽  
The Evolution Of Industry

This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.

Data-driven business process management-based development of Industry 4.0 solutions

2022 ◽  
Vol 36 ◽  
pp. 117-132
Author(s):  
Tímea Czvetkó ◽  
Alex Kummer ◽  
Tamás Ruppert ◽  
János Abonyi
Keyword(s):  
Business Process ◽  
Industry 4.0 ◽  
Business Process Management ◽  
Process Management ◽  
Data Driven

Business process management for Industry 4.0 – Three application cases in the DFKI-Smart-Lego-Factory

2018 ◽  
Vol 60 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Jana-Rebecca Rehse ◽  
Sharam Dadashnia ◽  
Peter Fettke
Keyword(s):  
Business Process ◽  
Industry 4.0 ◽  
Business Process Management ◽  
Manufacturing Industry ◽  
Process Management ◽  
Process Mining ◽  
Smart Factory ◽  
Manufacturing Processes ◽  
Planning And Control ◽  
And Control

Abstract The advent of Industry 4.0 is expected to dramatically change the manufacturing industry as we know it today. Highly standardized, rigid manufacturing processes need to become self-organizing and decentralized. This flexibility leads to new challenges to the management of smart factories in general and production planning and control in particular. In this contribution, we illustrate how established techniques from Business Process Management (BPM) hold great potential to conquer challenges in Industry 4.0. Therefore, we show three application cases based on the DFKI-Smart-Lego-Factory, a fully automated “smart factory” built out of LEGO® bricks, which demonstrates the potentials of BPM methodology for Industry 4.0 in an innovative, yet easily accessible way. For each application case (model-based management, process mining, prediction of manufacturing processes) in a smart factory, we describe the specific challenges of Industry 4.0, how BPM can be used to address these challenges, and, their realization within the DFKI-Smart-Lego-Factory.

scholarly journals Correction to: Blockchain-based business process management (BPM) framework for service composition in industry 4.0

2018 ◽  
Vol 31 (7) ◽  
pp. 1749-1749 ◽  
Author(s):  
Wattana Viriyasitavat ◽  
Li Da Xu ◽  
Zhuming Bi ◽  
Assadaporn Sapsomboon
Keyword(s):  
Business Process ◽  
Service Composition ◽  
Industry 4.0 ◽  
Business Process Management ◽  
Process Management

Industry 4.0 and business process management: state of the art and new challenges

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Patricia Bazan ◽  
Elsa Estevez
Keyword(s):  
Business Process ◽  
Industry 4.0 ◽  
Business Process Management ◽  
Process Management ◽  
Business Processes ◽  
State Of The Art ◽  
The State ◽  
Event Processing ◽  
Content Type ◽  
Software Ecosystems

PurposeThe objective of the work is to analyze the impact of the Internet of Things (IoT) concepts and associated technologies in the framework of organizations and the management of their processes and how event orientation, as well as the structure of said business processes, can play an important role in this new organizational model. The main contribution of this work is to present a conceptualization of the research, identify approaches and challenges that require further study, and as a result, a proposal for future research.Design/methodology/approachThe methodology comprises a qualitative analysis using secondary data. The approach relies on searches of scientific papers conducted in well-known databases, identifying research work around the IoT and Industry 4.0 applied to business process management. Based on the identified papers, the authors selected the most relevant and the latest publications, and categorized their contributions and findings based on open and selective coding. In total, the analysis is based on 95 papers that were selected and analyzed in depth.FindingsThe results of this research allow analyzing and ordering the existing contributions around Industry 4.0 and its impact on current organizations. The proposed conceptualization was derived from the analysis of the state of the research and identifies four categories: (1) improvements caused by Industry 4.0 and its impact on inter-organizational relations, (2) new architectural models and infrastructure of remote resources, their movement from the cloud to the edge and its effect on business processes, (3) context-aware concepts brought to business process management (BPM) linked to unstructured business processes and (4) complex event processing as a possible means for business processes sensitive to IoT signals.Practical implicationsThe construction of current software ecosystems is strongly affected by the variety of information sources that feed them, as well as their volume. In addition, business processes represent organizations internally and are challenged to transcend the limits of companies due to the mentioned changes in software ecosystems. Industry 4.0 in conjunction with BPM re-defines the business process management paradigm and leads them to acquire the dynamism and sensitivity to the context that they usually did not have, as well as force them to move toward distributed platforms.Originality/valueThis paper assesses the state of the art in Industry 4.0 and business process management. The area can be defined as the intersection of two bigger areas highly relevant for organizations; on the one hand, the management and execution of business processes; and on the other hand, new conceptual, technological and methodological challenges to information systems that have to become more sensitive to event processing and also have to consume a large volume of data permanently and ubiquitously.

scholarly journals Industry 4.0 and business process management

2019 ◽  
Vol 13 (4) ◽  
pp. 349-355
Author(s):  
Jiri Tupa ◽  
Frantisek Steiner
Keyword(s):  
Process Improvement ◽  
Business Process ◽  
Industry 4.0 ◽  
Business Process Management ◽  
Process Management ◽  
New Technologies ◽  
The Core ◽  
New Methods ◽  
Theoretical Paper ◽  
The Cost

Production companies are adopting new methods for the improvement of their managing production processes. The cost, quality and time are still key important attributes for process improvement. This is reason why the Business Process Management (BPM) is the core of management in different areas, e.g., quality management, sustainability management. The new technologies based on Internet of Things and Services, SMART solutions, and the concept Industry 4.0 are opening new possibilities of BPM implementation. This theoretical paper deals with a review of new trends in BPM and a presentation of the possibilities of core technologies for Industry 4.0 in phases of BPM applications.

scholarly journals A Conceptual Framework to Support Digital Transformation in Manufacturing Using an Integrated Business Process Management Approach

Designs ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 17
Author(s):  
Javaid Butt
Keyword(s):  
Conceptual Framework ◽  
Business Process ◽  
Industry 4.0 ◽  
Business Process Management ◽  
Process Management ◽  
New Technologies ◽  
Manufacturing Sector ◽  
Digital Transformation ◽  
Management Approach ◽  
The Impact

Digital transformation is no longer a future trend, as it has become a necessity for businesses to grow and remain competitive in the market. The fourth industrial revolution, called Industry 4.0, is at the heart of this transformation, and is supporting organizations in achieving benefits that were unthinkable a few years ago. The impact of Industry 4.0 enabling technologies in the manufacturing sector is undeniable, and their correct use offers benefits such as improved productivity and asset performance, reduced inefficiencies, lower production and maintenance costs, while enhancing system agility and flexibility. However, organizations have found the move towards digital transformation extremely challenging for several reasons, including a lack of standardized implementation protocols, emphasis on the introduction of new technologies without assessing their role within the business, the compartmentalization of digital initiatives from the rest of the business, and the large-scale implementation of digitalization without a realistic view of return on investment. To instill confidence and reduce the anxiety surrounding Industry 4.0 implementation in the manufacturing sector, this paper presents a conceptual framework based on business process management (BPM). The framework is informed by a content-centric literature review of Industry 4.0 technologies, its design principles, and BPM method. This integrated framework incorporates the factors that are often overlooked during digital transformation and presents a structured methodology that can be employed by manufacturing organizations to facilitate their transition towards Industry 4.0.

Blockchain-based business process management (BPM) framework for service composition in industry 4.0

2018 ◽  
Vol 31 (7) ◽  
pp. 1737-1748 ◽  
Author(s):  
Wattana Viriyasitavat ◽  
Li Da Xu ◽  
Zhuming Bi ◽  
Assadaporn Sapsomboon
Keyword(s):  
Business Process ◽  
Service Composition ◽  
Industry 4.0 ◽  
Business Process Management ◽  
Process Management

Smart production systems drivers for business process management improvement

2020 ◽  
Vol 26 (5) ◽  
pp. 1075-1092 ◽  
Author(s):  
Maciel M. Queiroz ◽  
Samuel Fosso Wamba ◽  
Marcio C. Machado ◽  
Renato Telles
Keyword(s):  
Business Process ◽  
Industry 4.0 ◽  
Business Process Management ◽  
Process Management ◽  
Business Models ◽  
Production Systems ◽  
Big Data Analytics ◽  
Content Type ◽  
Theoretical Contribution ◽  
Integrative Framework

PurposeThe Industry 4.0 phenomenon offers opportunities and challenges to all business models. Despite the literature advances in this field, little attention has been paid to the interplay of smart production systems (SPSs), big data analytics (BDA), cyber-physical systems (CPS), internet of things (IoT), and the potential business process management (BPM) improvements. This study aims to identify the main drivers and their implications for improved BPM.Design/methodology/approachThis study employed a narrative literature review of studies concerning smart-production-systems-related issues in the context of Industry 4.0.FindingsThe study identified 26 drivers from the literature associated with SPSs that have an impact on improved BPM. These drivers are presented in an integrative framework considering BDA, CPS, and the IoT.Research limitations/implicationsThe framework's component integration is yet not tested. However, this study offers a significant theoretical contribution by presenting drivers that can be utilised to develop constructs, exploring critical factors related to the interplay of SPSs and improved BPM, and shading light on Industry 4.0's main elements. The study also makes suggestions for further research.Practical implicationsThe proposed framework, with its 26 drivers, provides insights for practitioners and decision-makers interested in gaining an in-depth understanding of the complexities of SPSs and improved BPM.Originality/valueThis study integrates BDA, CPS, and IoT into a framework with 26 drivers associated with SPSs to improve BPM.

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