Cloud Collaboration Tools and Design Rework across Distributed Engineering Teams

Marie Boyer

Authors

Marie Boyer Graduate School of Computer Science, Université Paris-Saclay, Gif-sur-Yvette, Île-de-France, France Author

Keywords:

Distributed Engineering, Cloud Collaboration, Design Rework, Benchmark Evaluation, Software Engineering

Abstract

In the modern landscape of globalized manufacturing and product development, distributed engineering teams have become the standard organizational paradigm. However, the geographic dispersion of multidisciplinary teams introduces significant challenges in maintaining real-time alignment and avoiding design divergence. This paper presents a comprehensive benchmark evaluation of three distinct archetypes of cloud collaboration tools: real-time database-driven synchronization, transaction-based checkout systems, and asynchronous repository-based systems. We analyze their direct influence on design rework, which remains one of the primary drivers of cost overruns and schedule delays in complex engineering projects. Through a controlled, multi-site experimental design involving distributed teams executing a complex mechanical assembly task, we quantify how tool synchronization latency, conflict resolution mechanisms, and cognitive overhead affect the frequency and severity of design rework. The results demonstrate that real-time database-driven collaboration platforms reduce design rework by up to sixty-four percent compared to traditional asynchronous repository methods, primarily by mitigating communication gaps and preventing geometric conflict propagation. However, this synchronization benefit is accompanied by a unique set of cognitive interruptions and coordination overheads. Based on our empirical findings, we propose a socio-technical framework to guide engineering organizations in selecting and optimizing their collaborative technology stacks to minimize waste and maximize design efficiency.

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