Business Process Management and Business Process Analysis

2014 ◽  
pp. 26-1-26-31 ◽  
Author(s):  
Jan Brocke ◽  
Christian Sonnenberg
Author(s):  
Wei Zhou ◽  
Yixuan Zhou ◽  
Jinwu Yang ◽  
Shaowen Yao

BPM (Business Process Management) includes support for business process analysis, design, implementation, management methods, techniques, and tools. This chapter introduces the origin of BPM technology and development, covering four fields: Business Process Management benefits, the history of BPM, classification of Business process, the lifecycle of BPM, and Business Process Modeling Techniques. In addition, the authors also determine that the present workflow technology is not enough to exist in the root causes of some deficiencies; concluding the chapter with the future of workflow technology trends.


2019 ◽  
Vol 4 (2) ◽  
pp. 202
Author(s):  
Uli Mahendra Kurniawan ◽  
Ismiarta Aknuranda ◽  
Tri Astoto Kurniawan

The target indicators for the success of training conducted by the XYZ institution in 2018 are achieved in un-ideal conditions. The target of the average Competency Gap Index (CGI) value is achieved by reducing the measurement parameters of the work competency standard (SKK). This condition is a fact that the success of the training in the XYZ institution still lacks in its achievements. Based on the explanation of the problem, this study will apply the concept of Business Process Management (BPM) to conduct an analysis of the business process of conducting training in the XYZ institution to identify the possible problems that occur in the business process. This study aims to analyze and modeling the current business process of training program (as-is). The research methodology uses literature studies and data collection from interviews, observations, and supporting documents. The results of this study are proposed business processes (to-be) which are recommendations for improvement in current business processes (as-is). The business process is modeled used the standard modeling of Business Process and Notation (BPMN) version 2.0.


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 23
Author(s):  
Mirko Gabelica ◽  
Damir Sapunar ◽  
Matko Marušić ◽  
Livia Puljak

In this article, we suggest a blueprint for an ideal open-access repository for clinical trial data with a description of a model of such a repository using a business process analysis approach. Firstly, we suggested which features an ideal repository should have. Secondly, we used business process management software to describe the whole process, from the decision to share clinical trial data to either publication of data in a repository or discarding data. The research community, legislators and society at large should be interested in a transparent open-access repository that will host clinical trial data. We hope this work can inspire relevant stakeholders to engage in discussion about the necessity of creating such repository, and that we will witness the creation of such a repository in the near future.


Author(s):  
Julia Eggers ◽  
Andreas Hein ◽  
Markus Böhm ◽  
Helmut Krcmar

AbstractIn recent years, process mining has emerged as the leading big data technology for business process analysis. By extracting knowledge from event logs in information systems, process mining provides unprecedented transparency of business processes while being independent of the source system. However, despite its practical relevance, there is still a limited understanding of how organizations act upon the pervasive transparency created by process mining and how they leverage it to benefit from increased process awareness. Addressing this gap, this study conducts a multiple case study to explore how four organizations achieved increased process awareness by using process mining. Drawing on data from 24 semi-structured interviews and archival sources, this study reveals seven sociotechnical mechanisms based on process mining that enable organizations to create either standardized or shared awareness of sub-processes, end-to-end processes, and the firm’s process landscape. Thereby, this study contributes to research on business process management by revealing how process mining facilitates mechanisms that serve as a new, data-driven way of creating process awareness. In addition, the findings indicate that these mechanisms are influenced by the governance approach chosen to conduct process mining, i.e., a top-down or bottom-up driven implementation approach. Last, this study also points to the importance of balancing the social complications of increased process transparency and awareness. These results serve as a valuable starting point for practitioners to reflect on measures to increase organizational process awareness through process mining.


2019 ◽  
Vol 9 (16) ◽  
pp. 3313 ◽  
Author(s):  
Wu ◽  
He ◽  
Wang ◽  
Wen ◽  
Yu

To improve the service quality of complaint handling service in a manufacturing company, it is key to analyze the business processes. Process mining is quite a useful approach to diagnose complaint handling service process problems, such as bottlenecks and deviations. However, the current business process analysis methodologies based on process mining mainly focus on operational process analysis and neglect other system level analysis. In this study, we introduce the method of Accimap from the discipline of accident analysis to analyze the diagnosis results of process mining. By creating a complaint handling service process management Accimap model, the process mining results analysis can be carried out across different system levels. A case study in a big manufacturing company in China is implemented to verify our approach. In the case study, 42 complaint handling process management factors are identified and the complaint handling process management Accimap model is created. The testing results by Rasmussen’s seven predictions in his risk management framework show that Accimap method presents a systematic approach to analyze the process diagnosis results based on process mining.


2016 ◽  
Vol 22 (2) ◽  
pp. 206-216 ◽  
Author(s):  
Sebastian Neubert ◽  
Bernd Göde ◽  
Xiangyu Gu ◽  
Norbert Stoll ◽  
Kerstin Thurow

Modern business process management (BPM) is increasingly interesting for laboratory automation. End-to-end workflow automation and improved top-level systems integration for information technology (IT) and automation systems are especially prominent objectives. With the ISO Standard Business Process Model and Notation (BPMN) 2.X, a system-independent and interdisciplinary accepted graphical process control notation is provided, allowing process analysis, while also being executable. The transfer of BPM solutions to structured laboratory automation places novel demands, for example, concerning the real-time-critical process and systems integration. The article discusses the potential of laboratory execution systems (LESs) for an easier implementation of the business process management system (BPMS) in hierarchical laboratory automation. In particular, complex application scenarios, including long process chains based on, for example, several distributed automation islands and mobile laboratory robots for a material transport, are difficult to handle in BPMSs. The presented approach deals with the displacement of workflow control tasks into life science specialized LESs, the reduction of numerous different interfaces between BPMSs and subsystems, and the simplification of complex process modelings. Thus, the integration effort for complex laboratory workflows can be significantly reduced for strictly structured automation solutions. An example application, consisting of a mixture of manual and automated subprocesses, is demonstrated by the presented BPMS-LES approach.


Author(s):  
Matthias Lederer ◽  
Peter Schott

Business process management is the cross-functional orientation of organizations along the value chain. This article discusses the basics and advantages of process orientation in companies. Using the classic process life cycle, well-known as well as emerging techniques, methods and tools are explained. Intuitive and complex process analysis methods are introduced, and alternatives of meaningful modeling are differentiated. For the implementation of the optimized processes, relevant aspects of team management as well as basic classes of IT tools are discussed in order to support not only manual but also digital processes. How processes are monitored strategically and operationally is also part of the life cycle. Furthermore, upcoming trends are part of the discussion.


Author(s):  
Lovinta Happy Atrinawati ◽  
Wiratama Putra Pratikta

Proses bisnis memiliki peran krusial untuk memastikan organisasi, termasuk universitas, mampu mencapai tujuannya. Institut Teknologi Kalimantan (ITK) sebagai universitas berkembang belum memiliki model proses bisnis atau Standar Operasional Prosedur (SOP). Hal ini menyebabkan tidak terstandarisasinya proses yang berjalan dan terjadinya deviasi untuk setiap proses yang terjadi di ITK. Penelitian ini bertujuan untuk mengembangkan model proses bisnis akademik ITK dan untuk memastikan bahwa proses bisnis sesuai dengan standar yang berlaku, yaitu Standar Nasional Pendidikan Tinggi (SNPT) dan Badan Akreditasi Nasional Perguruan Tinggi (BAN-PT). Pendekatan yang digunakan dalam penelitian ini meliputi business process management, tahapannya meliputi process identification, process discovery, process analysis, dan process redesign. Setelah mengidentifikasi proses bisnis pada bidang akademik, dilakukan pemodelan proses bisnis saat ini (as-is) menggunakan notasi Business Process Model and Notation (BPMN). Dari hasil pemodelan tersebut kemudian dilakukan analisis kesesuaian untuk mengetahui proses bisnis yang belum sesuai dengan standar dan kelemahan yang terjadi ketika terus dijalankan. Berdasarkan analisis proses didapatkan 16 isu pada 13 proses bisnis yang tidak sesuai dengan standar beserta kelemahannya. Hasil analisis kemudian digunakan sebagai usulan rekomendasi dengan memodelkan proses bisnis yang akan datang (to-be) yang telah sesuai dengan standar, sehingga terdapat 5 proses baru, 3 diperbaiki, dan 1 dihapus. Model proses ini diverifikasi oleh Kepala Penjaminan Mutu ITK dan diharapkan dapat digunakan sebagai referensi untuk pengembangan SOP akademik di ITK  Kata kunci: proses bisnis, business process management, pendidikan tinggi, BPMN


Author(s):  
O. Pavlenko ◽  
I. Maksymenko ◽  
Ie. Lapin ◽  
V. Kasianenko

Nowadays, the search for the effective tools in a sphere of personnel management are still on, and these issues is crucial especially for the Ukrainian enterprises. The article is aimed to analyze the effectiveness of staff as an element of the business-processes system of an enterprise. Among all the approaches the authors put their attention to evolutional and revolutional approaches to reengineering of the business-processes, and the key role of the personnel in these processes. Particular attention was given to the identification of personnel management essence in terms of business-process management, the pathways of optimizations of the business-processes, .and the main problems of HR-management that can be identified under the audit process. The case methodology was used to reveal the best practices in the improvement of HR-management system. Keywords: personnel, business process, analysis, enterprise, management.


Author(s):  
Ishak H. A. Meddah ◽  
Khaled Belkadi

Process mining provides an important bridge between data mining and business process analysis. This technique allows for the extraction of information from event logs. In general, there are two steps in process mining: correlation definition or discovery and then process inference or composition. Firstly, the authors mine small patterns from log traces of two applications; those patterns are the representation of the execution traces of a business process. In this step, the authors use existing techniques. The patterns are represented by finite state automaton or their regular expression. The final model is the combination of only two types of small patterns that are represented by the regular expressions (ab)* and (ab*c)*. Secondly, the authors compute these patterns in parallel and then combine those small patterns using the composition rules. They have two parties. The first is the mine, where the authors discover patterns from execution traces, and the second is the combination of these small patterns. The pattern mining and the composition is illustrated by the automaton existing techniques.


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