TY  - CONF
A1  - Linnartz, Maria
A1  - Stich, Volker
A2  - Lalic, Bojan
A2  - Majstorovic, Vidosav
A2  - Marjanovic, Ugljesa
A2  - von Cieminski, Gregor
A2  - Romero, David
T1  - Software-Based Assistance System for Decision Support on Supply Chain Level
T2  - Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems
N2  - In recent years, the complexity of the management of supply chains has increased significantly due to the growing individualization of products and dynamics of the market environment. To remain competitive, ensuring efficient and flexible processes and procedures along the entire supply chain are of particular importance for companies. Especially in the inter-company context, decisions must be made as quickly and correctly as possible. To enable good decision-making processes data must be processed and provided in a targeted manner. Currently, however, the necessary transparency is often lacking within the supply chains. In this article, a software-based assistance system for decision support on supply chain level is presented that aims to increase the transparency and efficiency of the decision-making process. A concept for decision support on supply chain level is presented. This paper focuses on the conceptual linkage of relevant decisions and data. Therefore, indicators are identified and linked with the relevant decisions. Moreover, a suitable way of visualizing the identified indicators for each decision in a user-friendly manner is defined. These results are then used to implement the software tool.
KW  - Entscheidungsunterstützung
KW  - SV7266
KW  - Softwaretool
KW  - Supply-Chain-Management
KW  - SCM
KW  - supply chain management
Y1  - 2020
UR  - https://epub.fir.de/frontdoor/index/index/docId/285
UR  - https://link.springer.com/chapter/10.1007/978-3-030-57993-7_24
SN  - 978-3-030-57992-0
SN  - 978-3-030-57993-7
SP  - 209
EP  - 216
PB  - Springer
CY  - Cham, Schweiz
ER  -