Warehouse operation and management is one of the essential parts of manufacturing and service operations. The warehouse
layout problem is a key to warehouse operations. Generally, warehouse layout design models attempt to optimize
different objectives such as the orientation of storage racks, the allocation of space among competing uses, the number of
cranes, the overall configuration of the facility, etc. The warehousing strategies can be classified as distribution-type, production-
type and contract-type warehouse strategies. In this study, a distribution-type warehouse considered that various
type products are collected from different suppliers for storing in the warehouse for a determined period and for delivery to
different customers. The aim of the study is to design a multiple-level warehouse shelf configuration which minimizes the
annual carrying costs. The turnover rates of the products are classified and they are considered while putting/picking them
to/from shelves regarding the distances between the shelves and docks. Since proposed mathematical model was shown to
be NP-hard, a particle swarm optimization algorithm (PSO) as a novel heuristic was developed for determining the optimal
layout.
Warehouse operation and management is one of the essential parts of manufacturing and service operations. The warehouselayout problem is a key to warehouse operations. Generally, warehouse layout design models attempt to optimizedifferent objectives such as the orientation of storage racks, the allocation of space among competing uses, the number ofcranes, the overall configuration of the facility, etc. The warehousing strategies can be classified as distribution-type, production-type and contract-type warehouse strategies. In this study, a distribution-type warehouse considered that varioustype products are collected from different suppliers for storing in the warehouse for a determined period and for delivery todifferent customers. The aim of the study is to design a multiple-level warehouse shelf configuration which minimizes theannual carrying costs. The turnover rates of the products are classified and they are considered while putting/picking themto/from shelves regarding the distances between the shelves and docks. Since proposed mathematical model was shown tobe NP-hard, a particle swarm optimization algorithm (PSO) as a novel heuristic was developed for determining the optimallayout.
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