K. (Kaveh) Azadeh MSc

Kaveh Azadeh
Rotterdam School of Management (RSM)
Erasmus University Rotterdam
ERIM PhD Candidate
Field: Logistics & Information Systems
Affiliated since 2014

PhD Track How and When to Pick an Order

Achieving high-volume production and delivering within the shortest time, while maintain-
ing low inventory are some of the key principles in supply chain management. In a further
attempt to decrease the total inventory, lots of companies decided to replace multiple rela-
tively small distribution centers (DCs) by a few large ones. In some cases, even an entire
continent is served by a few DCs at strategic locations (Van Den Berg and Zijm 1999). In
this regard, order picking - the process of retrieving products from storage to ful l a speci c
customer request - has been identi ed as the most costly operation (De Koster et al. 2007,
Drury et al. 1988, Goetschalckx and Ashayeri 1989). It is estimated that around 55% of the
total warehouse operation cost is related to the order picking (Tompkins et al. 2010). This
implies that improving the order picking process is the rst priority for achieving an ecient
warehouse. Advances in technologies have enabled companies to automate various parts of
the order picking process. Implementing these technologies has a potential to save on labour
costs, increase the reliability of the order picking process, reduce error rates, and shorten
the response times (Zaerpour 2013). Furthermore, large consolidated DCs not only help to
reduce safety stocks but also help to justify the automation of the order picking process. In
this document we propose four research projects that are aimed to improve the eciency of
the order picking process in warehouses.

Material handling, Queueing networks, Supply chain management, Warehousing, Vehicle- based order pick systems, AVS/R systems, Sequencing, Scheduling, Order release
Time frame
2014 -


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