A Two-Stage Optimization Model for Drug Cabinet Design

The optimal design of drug cabinet can effectively improve the storage capacity and drug sorting efficiency, which is of great significance for the design and production of automatic drug sorting system and the modern management of pharmacy. However, there are thousands of types of drug boxes. There are serious space waste and potential safety problems in the traditional drug cabinet. This paper designs a two-stage optimization model for drug cabinet design from the perspective of design for the width and height specifications of the drug storage grooves. The first step is to find the optimal set of drug storage grooves. The second step is to optimize the number of storage tanks of each specification. Then a non-numerical multi-variables genetic algorithm (GA) is designed to solve the proposed model. Finally, through simulation program, we solved an example of specific drug cabinet design requirement to verify the effectiveness of the model.