The interface between construction and production is an area of research with rising importance given its increasing demand for efficiency gains in factory planning and construction planning processes. In fact, nowadays, it is usual for production and surrounding buildings to be planned separately as independent entities. According to the Laboratory for Machine Tools and Production Engineering of RWTH Aachen University, it is against this background that recent factory planning projects have reported cost increases and time delays due to non-transparent information between different planners. Building Information Modelling (BIM) addresses precisely this problem. However, BIM is barely used in projects for production planning of factories. This is critical since factory planning has to deal with more complex planning parameters (due to the technical building equipment) compared to private housing construction or public building construction, where BIM is already being applied increasingly. In order to close this gap, it is first of all important to create transparency within the individual information interfaces between production planning and building planning. This article addresses this issue and identifies major obstacles in interdisciplinary cooperation between building planners and production planners. For this purpose, an interdisciplinary and partially standardised study has been carried out using questionnaires and partly-open expert interviews. The results show scarce implementation in factory planning projects due to (1) missing maturity level specifications and (2) missing data management standards. Both theoretical and practical implications of this study as well as limitations and future directions for research are discussed.

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Purpose -The purpose of this paper is to investigate the benefit of pre-emptive disruption management measures for assembly systems towards the target dimension adherence to delivery times.Design/methodology/approach -The research was conducted by creating simulation models for typical assembly systems and measuring its varying throughput times due to changes in their disruption profiles. Due to the variability of assembly systems, key influence factors were investigated and used as a foundation for the simulation setup. Additionally, a disruption profile for each simulated process was developed, using the established disruption categories material, information and capacity. The categories are described by statistical distributions, defining the interval between the disruptions and the disruption duration. By a statistical experiment plan, the effect of a reduced disruption potential onto the throughput time was investigated.Findings -Pre-emptive disruption management is beneficial, but its benefit depends on the operated assembly system and its organisation form, such as line or group assembly. Measures have on average a higher beneficial impact on group assemblies than on line assemblies. Furthermore, it was proven that the benefit, in form of better adherence to delivery times, per reduced disruption potential has a declining character and approximates a distinct maximum.Originality/value -Characterising the benefit of pre-emptive disruption management measures enables managers to use this concept in their daily production to minimise overall costs. Despite the hardly predictable influence of pre-emptive disruption measures, these research results can be implemented into a heuristic for efficiently choosing these measures.