Mobile Shelf-based Order Pick (MSOP) systems are gaining significant in- terest for e-commerce fulfillment due to their rapid deployment capability and dynamic organization of storage pods based on item demand profiles. In this research, we model the MSOP system with class-based storage strategies and alternate pod storage policies using multi-class closed queuing networks. We observe that though closest-open location pod storage policy do not allow to efficiently use the storage spaces in comparison to random location pod storage policy in an aisle, it increases the system throughput for all item classes.
Progress in Material Handling Research: 2014
Nigam, Shobhit; Roy, Debjit; de Koster, Rene; and Adan, Ivo, "Analysis of Class-based Storage Strategies for the Mobile Shelf-based Order Pick System" (2014). 13th IMHRC Proceedings (Cincinnati, Ohio. USA – 2014). 19.