TY  - JOUR
A1  - Sildatke, Michael
A1  - Karwanni, Hendrik
A1  - Kraft, Bodo
A1  - Zündorf, Albert
T1  - A distributed microservice architecture pattern for the automated generation of information extraction pipelines
JF  - SN Computer Science
N2  - Companies often build their businesses based on product information and therefore try to automate the process of information extraction (IE). Since the information source is usually heterogeneous and non-standardized, classic extract, transform, load techniques reach their limits. Hence, companies must implement the newest findings from research to tackle the challenges of process automation. They require a flexible and robust system that is extendable and ensures the optimal processing of the different document types. This paper provides a distributed microservice architecture pattern that enables the automated generation of IE pipelines. Since their optimal design is individual for each input document, the system ensures the ad-hoc generation of pipelines depending on specific document characteristics at runtime. Furthermore, it introduces the automated quality determination of each available pipeline and controls the integration of new microservices based on their impact on the business value. The introduced system enables fast prototyping of the newest approaches from research and supports companies in automating their IE processes. Based on the automated quality determination, it ensures that the generated pipelines always meet defined business requirements when they come into productive use.
KW  - Architectural design
KW  - Model-driven software engineering
KW  - Software and systems modeling
KW  - Enterprise information systems
KW  - Information extraction
Y1  - 2023
U6  - http://dx.doi.org/10.1007/s42979-023-02256-4
SN  - 2661-8907
N1  - Corresponding authors: Michael Sildatke, Hendrik Karwanni
IS  - 4, Article number: 833
PB  - Springer Singapore
CY  - Singapore
ER  - 
TY  - JOUR
A1  - Luft, Angela
A1  - Bremen, Sebastian
A1  - Luft, Nils
T1  - A cost/benefit and flexibility evaluation framework for additive technologies in strategic factory planning
JF  - Processes
N2  - There is a growing demand for more flexibility in manufacturing to counter the volatility and unpredictability of the markets and provide more individualization for customers. However, the design and implementation of flexibility within manufacturing systems are costly and only economically viable if applicable to actual demand fluctuations. To this end, companies are considering additive manufacturing (AM) to make production more flexible. This paper develops a conceptual model for the impact quantification of AM on volume and mix flexibility within production systems in the early stages of the factory-planning process. Together with the model, an application guideline is presented to help planners with the flexibility quantification and the factory design process. Following the development of the model and guideline, a case study is presented to indicate the potential impact additive technologies can have on manufacturing flexibility Within the case study, various scenarios with different production system configurations and production programs are analyzed, and the impact of the additive technologies on volume and mix flexibility is calculated. This work will allow factory planners to determine the potential impacts of AM on manufacturing flexibility in an early planning stage and design their production systems accordingly.
KW  - additive manufacturing
KW  - factory planning
KW  - manufacturing flexibility
KW  - volume flexibility
KW  - mix flexibility
Y1  - 2023
U6  - http://dx.doi.org/10.3390/pr11071968
SN  - 2227-9717
VL  - 11
IS  - 7
PB  - MDPI
CY  - Basel
ER  -