TY - GEN
T1 - Reassigning storage locations in a warehouse to optimize the order picking process
AU - Kofler, Monika
AU - Beham, Andreas
AU - Wagner, Stefan
AU - Affenzeller, Michael
AU - Reitinger, Clemens
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - Warehouses are an essential component of the supply chain, used for buffering the material flow, stock consolidation and value-added-processing. Operation managers typically do a good job of filling their warehouse but initially assigned storage locations might become sub-optimal over time, due to seasonal fluctuations in demand, short product life cycles or high inventory levels. Fragmented storage is a particular issue in order picking environments, where the optimal storage location of a product is not only dependent on its turn-over rate but also on the storage locations of items that frequently occur in the same picking job. In practice, operations managers are forced to periodically reorganize the warehouse to keep it operating efficiently. This process is generally done manually without any decision-support tool. In this paper we introduce an optimization approach that automatically reorganized item locations. Results are evaluated using a simulation model that simulates the picking and transport processes in the warehouse.
AB - Warehouses are an essential component of the supply chain, used for buffering the material flow, stock consolidation and value-added-processing. Operation managers typically do a good job of filling their warehouse but initially assigned storage locations might become sub-optimal over time, due to seasonal fluctuations in demand, short product life cycles or high inventory levels. Fragmented storage is a particular issue in order picking environments, where the optimal storage location of a product is not only dependent on its turn-over rate but also on the storage locations of items that frequently occur in the same picking job. In practice, operations managers are forced to periodically reorganize the warehouse to keep it operating efficiently. This process is generally done manually without any decision-support tool. In this paper we introduce an optimization approach that automatically reorganized item locations. Results are evaluated using a simulation model that simulates the picking and transport processes in the warehouse.
KW - Re-warehousing
KW - Storage location problem
KW - Warehouse simulation
UR - http://www.scopus.com/inward/record.url?scp=84871298581&partnerID=8YFLogxK
M3 - Conference contribution
SN - 2952474788
SN - 9782952474788
T3 - 22th European Modeling and Simulation Symposium, EMSS 2010
SP - 77
EP - 82
BT - 22th European Modeling and Simulation Symposium, EMSS 2010
T2 - 22th European Modeling and Simulation Symposium, EMSS 2010
Y2 - 13 October 2010 through 15 October 2010
ER -