Publications

@inproceedings{10.1007/978-3-031-71645-4_13,

title = {Comparing Digital Twins and Virtual Engineering in Buyer Supplier Relationships for Complex Production Facilities},

author = {Luca Janecki and Oliver Antons and Daniel Reh and Julia C. Arlinghaus},

editor = {Matthias Th\"{u}rer and Ralph Riedel and Gregor Cieminski and David Romero},

url = {https://link.springer.com/chapter/10.1007/978-3-031-71645-4_13},

doi = {10.1007/978-3-031-71645-4_13},

isbn = {978-3-031-71645-4},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments},

pages = {180\textendash193},

publisher = {Springer Nature Switzerland},

address = {Cham},

abstract = {In today's highly competitive and interconnected global marketplace, the effective management of buyer-supplier relationships is essential for organizations seeking to stay ahead. With the rise of complex production facilities, ensuring product quality and optimizing communication between buyers and suppliers presents an escalating challenge. This complexity is further compounded by the integration of Digital Twins and Virtual Engineering, requiring innovative solutions to navigate the intricacies of modern supply chain dynamics. This article explores the role of Digital Twins and Virtual Engineering as a strategic approach to enhance buyer-supplier relationship management within the context of complex production facilities using insights from the Principal Agent Theory. Based on a systematic literature review, we explore current approaches to the use of virtual engineering and digital twins to overcome existing tensions from principal-agent theory.},

keywords = {Buyer-Supplier Relationship, Digital Twin, Production, Virtual Engineering},

pubstate = {published},

tppubtype = {inproceedings}

}