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.

Additional Metadata
Keywords Engineering, Engineering Economics, Organization, Logistics, Marketing, Experimental/theoretical, Facilities planning, Facilities planning and design, Production/Logistics/Supply Chain, Software & systems, Stochastic models, Stochastic optimization, Studies, Transportation management, Warehouse management systems, Warehouse systems
Persistent URL dx.doi.org/10.1007/s12159-011-0057-6, hdl.handle.net/1765/37198
Series ERIM Article Series (EAS)
Journal Logistics Research
Citation
Gong, Y, & de Koster, M.B.M. (2011). A review on stochastic models and analysis of warehouse operations. Logistics Research, 3(4), 191–205. doi:10.1007/s12159-011-0057-6