TY  - CHAP
A1  - Schuh, Günther
A1  - Gützlaff, Andreas
A1  - Rodemann, Niklas
A1  - Pütz, Sebastian
A1  - Linnartz, Maria
A1  - Kim, Soo-Yon
A1  - Schlosser, Tino X.
A1  - Schupp, Steffen
A1  - Endrikat, Morten
A1  - Welsing, Martin
A1  - Millan, Michael
A1  - Nitsch, Verena
A1  - Decker, Stefan
A1  - Geisler, Sandra
A1  - Stich, Volker
A2  - Brecher, Christian
A2  - Schuh, Günther
A2  - van der Aalst, Wil
A2  - Jarke, Matthias
A2  - Piller, Frank T.
A2  - Padberg, Melanie
T1  - Managing Growing Uncertainties in Long-Term Production Management
T2  - Internet of Production: Fundamentals, Applications and Proceedings (Living Reference Work)
N2  - Long-term production management defines the future production structure and ensures the long-term competitiveness. Companies around the world currently have to deal with the challenge of making decisions in an uncertain and rapidly changing environment. The quality of decision-making suffers from the rapidly changing global market requirements and the uniqueness and infrequency with which decisions are made. Since decisions in long-term production management can rarely be reversed and are associated with high costs, an increase in decision quality is urgently needed. To this end, four different applications are presented in the following, which support the decision process by increasing decision quality and make uncertainty manageable. For each of the applications presented, a separate digital shadow was built with the objective of being able to make better decisions from existing data from production and the environment. In addition, a linking of the applications is being pursued:

The Best Practice Sharing App creates transparency about existing production knowledge through the data-based identification of comparable production processes in the production network and helps to share best practices between sites. With the Supply Chain Cockpit, resilience can be increased through a data-based design of the procurement strategy that enables to manage disruptions. By adapting the procurement strategy for example by choosing suppliers at different locations the impact of disruptions can be reduced. While the Supply Chain Cockpit focuses on the strategy and decisions that affect the external partners (e.g., suppliers), the Data-Driven Site Selection concentrates on determining the sites of the company-internal global production network by creating transparency in the decision process of site selections. Different external data from various sources are analyzed and visualized in an appropriate way to support the decision process. Finally, the issue of sustainability is also crucial for successful long-term production management. Thus, the Sustainable Footprint Design App presents an approach that takes into account key sustainability indicators for network design. [https://link.springer.com/referenceworkentry/10.1007/978-3-030-98062-7_15-1]
KW  - production management
KW  - global production
KW  - production networks
KW  - network configuration
KW  - footprint design
KW  - adaptability
KW  - data-driven decision
Y1  - 2023
UR  - https://epub.fir.de/frontdoor/index/index/docId/2774
UR  - https://link.springer.com/referenceworkentry/10.1007/978-3-030-98062-7_15-1
SN  - 978-3-030-98062-7
N1  - Die DOI des Gesamtwerkes/The DOI of the complete work: https://doi.org/10.1007/978-3-030-98062-7_15-1
SP  - 1
EP  - 21
PB  - Springer
CY  - Cham [u. a.]
ER  -