The following paper explains relevant fundamentals of the discussed topic with respect to process mining as well as for the understanding of supply chain processes. Consequently, in a second step, a literature review regarding the research field of process mining will be unfolded by retracing its design and conduction after elaborating a well-defined search phrase based on the research question. This paper then advances by summarizing the results of the literature review. The state-of-the-art research with respect to the specific topic of this very paper are summarized and commented subsequently, and if applicable, taken up in later course. In this regard, special challenges and approaches will be mentioned. The third part of this paper deals with the simulation as basis for conducting cross-organizational process mining. Here, the setting, the char acteristics, the simulation model, and process errors will be explained. The resulting event log is going to be analyzed and interpreted by comparing to the input model.
In the last part, the event data of the supply chain process simulation serves as input for cross organizational process mining. The results of the application will be analyzed and viewed at with specifically focusing context-related errors followed by evaluation of the process model considering the input-output relation with the event log from the simulated supply chain process. As a conclusion, the results will be discussed and compared to other research results and questions will be raised for further research.
Inhaltsverzeichnis (Table of Contents)
- Introduction
- Methodology
- Process Mining
- Event Log
- Techniques
- Software
- Context of Process Mining
- Data Mining
- Machine Learning
- Business Process Management
- Supply Chain Processes
- Supply Chain Operations Reference Model
- Literature Review
- Methodology
- Research Questions and Scope
- Automated Search
- Inclusion and Exclusion Criteria
- Application of Process Mining in the Field of Supply Chain Management
- Comparison and Collaboration
- Mining Cross-Organizational Event Data
- Process Mining as a Service
- Mining Inter-Organizational Event Data
- RFID-based Process Mining
- Process Unaware Systems
- Privacy Preservation in Cooperative Process Mining
- Alternative Approaches
- Challenges in Supply Chain Process Mining
- Application of Process Mining in Supply Chain Processes
- Simulation
- Supply Chain Process
- Model
- Process Errors and Failure
- Event Log
- Mining Simulated Event Logs
- Error Identification
- Process mining techniques for error identification in supply chains
- Application of process mining in the context of supply chain management
- Simulation-based analysis of supply chain processes and error detection
- The Supply Chain Operations Reference Model (SCOR) and its relevance to process mining
- Challenges and opportunities associated with implementing process mining in supply chain environments
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This seminar paper aims to explore the use of process mining techniques in identifying errors within supply chain processes. It focuses on the application of process mining methodologies to analyze and optimize supply chain operations.
Zusammenfassung der Kapitel (Chapter Summaries)
The first chapter introduces the methodology used in this research, focusing on the fundamentals of process mining. It delves into the process mining techniques, software, and its context within data mining, machine learning, and business process management (BPM). A detailed overview of supply chain processes is provided with a specific focus on the Supply Chain Operations Reference Model (SCOR).
Chapter two provides a comprehensive literature review, outlining the application of process mining in supply chain management. This chapter explores different aspects of process mining in the context of supply chains, including cross-organizational event data mining, process mining as a service, and inter-organizational event data mining. It also examines challenges associated with privacy preservation and alternative approaches to supply chain process mining.
Chapter three delves into the application of process mining in simulated supply chain processes. It describes the simulated supply chain model, outlining the process, model, and errors simulated. The chapter then focuses on the use of process mining techniques to analyze and identify errors within the simulated event logs.
Schlüsselwörter (Keywords)
The core terms and concepts of this seminar paper include process mining, supply chain management, error identification, event logs, Supply Chain Operations Reference Model (SCOR), simulation, data mining, machine learning, and business process management (BPM).
- Quote paper
- Max-Leonhard Böttrich (Author), 2022, Identifying Errors in Supply Chain Processes with Process Mining, Munich, GRIN Verlag, https://www.grin.com/document/1254759
