TY - GEN
T1 - Multicriteria optimization in a typical multi-isle warehouse with multiple racks
AU - Ramirez-Rios, Diana G.
AU - Manotas Romero, Laura P.
AU - Montoya-Torres, Jairo R.
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - This paper considers two common problems frequently found in warehouses: slotting and picking. The former refers to the best arrangement of items in the warehouse, while the latter concerns the definition of the best route to pick up the selected objects. In most industrial practice, the implementation of picking and slotting optimization techniques uses information based on historical data that, in most cases, would fail to work because of many factors affecting daily operations in the warehouse. Simulation models have been employed to build virtual scenarios in order to predict the outcomes of a specific operational decision. Simulation models also fail because collected data is not fully reliable. In order to overcome those problems, this paper proposes the use of a hybrid simulation and optimization approach in which real-time data is incorporated thanks to radio-frequency identification (RFID) technology. Operational decisions are hence made in real-time. The approach is validated using real data from a pharmaceutical manufacturer.
AB - This paper considers two common problems frequently found in warehouses: slotting and picking. The former refers to the best arrangement of items in the warehouse, while the latter concerns the definition of the best route to pick up the selected objects. In most industrial practice, the implementation of picking and slotting optimization techniques uses information based on historical data that, in most cases, would fail to work because of many factors affecting daily operations in the warehouse. Simulation models have been employed to build virtual scenarios in order to predict the outcomes of a specific operational decision. Simulation models also fail because collected data is not fully reliable. In order to overcome those problems, this paper proposes the use of a hybrid simulation and optimization approach in which real-time data is incorporated thanks to radio-frequency identification (RFID) technology. Operational decisions are hence made in real-time. The approach is validated using real data from a pharmaceutical manufacturer.
KW - Information processing
KW - Multi-criteria optimization
KW - RFID
KW - Simulation
KW - Warehousing
UR - https://www.scopus.com/pages/publications/84937421509
U2 - 10.1007/978-3-319-20352-2_3
DO - 10.1007/978-3-319-20352-2_3
M3 - Conference contribution
AN - SCOPUS:84937421509
T3 - Communications in Computer and Information Science
SP - 35
EP - 48
BT - Optimization in the Natural Sciences - 30th Euro Mini-Conference, EmC-ONS 2014, Revised Selected Papers
A2 - Plakhov, Alexander
A2 - Tchemisova, Tatiana
A2 - Freitas, Adelaide
PB - Springer Verlag
T2 - 30th EURO Mini-conference on Optimization in the Natural Sciences, EmC-ONS 2014
Y2 - 5 February 2015 through 9 February 2015
ER -