Under CopyrightSchröder, AdrianAdrianSchröderAntons, OliverOliverAntonsArlinghaus, Julia C.Julia C.Arlinghaus2024-11-142024-11-142024https://publica.fraunhofer.de/handle/publica/478912https://doi.org/10.24406/h-47891210.1007/978-3-031-71629-4_2210.24406/h-478912In a globalized production environment companies are confronted with shortening product life cycles leading to shortening factory system life cycles. To overcome this issue, factories have to be (re-)built faster. The design time is a crucial phase in which many different disciplines of different domains have to work together in a major planning project. Currently, various experts in the respective domains of e.g. production system planning, automation and building are commonly working on their silo models resulting in different and sometimes contradictory information depending on the perspective of planning. While modelorientated, collaborative planning approaches like Building Information Modeling (BIM) have become familiar with the domain of factory planning, there is still a lack of combining the different factory data models holistically to connect all elements of production regarding information of products, processes and resources. Besides the BIM methodology several other forms of virtual factory descriptions, like the digital factory twin have emerged. In this work, a systematic literature review is conducted to present the current perspective on creating factory data models about a cross-domain usage and modeling approach. In analyzing the current use case definition of factory models the opportunity is seen to point out the importance of the combination of holistically linked factory data models with a multipurpose design. In doing so, a possibility is seen to overcome the mentioned obstacles of planning while raising the value of the created models. This demonstrates the need for a concept of modeling a digital factory twin, created for cross-domain usage.enHolistic Factory ModelFactory PlanningBuilding Information ModelingDigital TwinCollaborative Planningconference paper