Kevin R. GueRussell D. MellerMeller, R. D.Ozturkoglu, O.Gue, K. R.2025-10-062014037722170377-22171872-686010.1016/j.ejor.2013.12.0232-s2.0-84900597002https://www.scopus.com/inward/record.uri?eid=2-s2.0-84900597002&doi=10.1016%2Fj.ejor.2013.12.023&partnerID=40&md5=a085f1f1fb7e3a67f54c147bdc66eff9https://gcris.yasar.edu.tr/handle/123456789/9986https://doi.org/10.1016/j.ejor.2013.12.023We develop a network-based warehouse model of individual pallet locations and their interactions with appropriate cross aisles in order to evaluate the expected travel distance of a given design. The model is constructive in that it uses Particle Swarm Optimization to determine the best angles of cross aisles and picking aisles for multiple pre-determined pickup and deposit (P&D) points in a unit-load warehouse. Our results suggest that alternative designs offer reduced expected travel distance but at the expense of increased storage space. The opportunity for benefit also seems to decline as P&D points increase in number and dispersion. © 2013 Elsevier B.V. All rights reserved. © 2014 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/closedAccessAisle Design, Facilities Planning And Design, Layout, Randomized Storage, Single-command Operation, Warehouse Design, Aisle Design, Facilities Planning And Design, Layout, Single-command Operation, Warehouse Design, Deposits, Design, Particle Swarm Optimization (pso), Pickups, WarehousesAisle design, Facilities planning and design, Layout, Single-command operation, Warehouse design, Deposits, Design, Particle swarm optimization (PSO), Pickups, WarehousesLayoutRandomized StorageSingle-Command OperationWarehouse DesignAisle DesignFacilities Planning and DesignArticle