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About

Hans Daduna is a leading figure in queueing theory and stochastic operations research, with a career-long focus on the analysis of complex service and production networks. His key research areas include semi-open queueing networks (SOQNs), product-form equilibrium distributions, and the performance evaluation of automated systems. Daduna’s major contributions lie in developing analytic approximations for SOQNs, particularly the "lost customers approximation" and models with backordering, which are essential for designing and optimizing robotic mobile fulfilment systems (RMFS) used in modern warehouses. His most-cited work (2021, 16 citations) provides a tractable method to analyze these networks, directly impacting the minimization of robot fleets and operational costs. This work, alongside his 2019 study on backordering, demonstrates his ability to bridge rigorous stochastic theory with pressing industrial applications. While his citation counts reflect a specialized, high-impact niche rather than broad popularity, his papers are foundational for researchers in logistics, manufacturing, and computer systems. Daduna’s research is distinguished by its mathematical depth and practical relevance, making him a key reference for anyone working on the performance analysis of automated, resource-constrained systems.