Abstract
Different optimization algorithms are used in fast medicine dispensing system to improve the efficiency of refilling. To achieve rapid replenishing of the manipulator and improve efficiency in phar...
Highlights
Logistics systems for transportation and warehouse storage can solve problems regarding production and service sectors.1,2 In most modern warehouses, the efficiency of order picking is related to multiple factors including layout designs, storage assignments, batching, zoning, and picking route
A mathematical model of the fast medicine dispensing system (FMDS), the ant colony optimization (ACO)-SD, on the refilling route is established according to the mechanical apparatus
The orders of picking points are chosen by the ACO-SD, particle swarm optimization (PSO)-SD, genetic algorithm (GA)-SD, ACO, PSO, GA, and orderpicking mode (OPM) on 5, 10, and 20 picking points in simulation, and a comparison is made among them
Summary
Logistics systems for transportation and warehouse storage can solve problems regarding production and service sectors.1,2 In most modern warehouses, the efficiency of order picking is related to multiple factors including layout designs, storage assignments, batching, zoning, and picking route. With increasing picking points, compared with the OPM, no matter the optimization ratios of the average route value or the average time value of the PSO, GA, ACO, PSO-SD, GA-SD, and ACO-SD are all increased.
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