This paper provides an overview of stochastic research in warehouse operations. We identify uncertainty sources of warehousing systems and systematically present typical warehouse operations from a stochastic system viewpoint. Stochastic modeling methods and analysis techniques in existing literature are summarized, along with current research limitations. Through a comparison between potential and existing stochastic warehouse applications, we identify potential new research applications. Furthermore, by comparing potential and existing solution methods, methodological directions relevant to practice and largely unexplored in warehouse literature are identified.

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ERIM Article Series (EAS)
Logistics Research
Erasmus Research Institute of Management

Gong, Y., & de Koster, R. (2011). A review on stochastic models and analysis of warehouse operations. Logistics Research, 3(4), 191–205. doi:10.1007/s12159-011-0057-6