Against the backdrop of the medical reform in China, the pharmaceutical distribution industry is stepping into the era of meager profit. Pharmaceutical companies are confronted with problems including superficial inventory classification, unreasonable procurement methods, etc. To address the above problems, this article proposes the drug inventory control strategy based on the classification of multi-criteria decision-making. We first use the weighted fuzzy C-means clustering method to classify the sampled drugs according to the established criteria. We then further subdivide different categories and determine corresponding inventory control strategies based on requirement analysis. Results suggest that this strategy enhances company inventory management and slashes costs.

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Optimizing Pharmaceutical Logistics Inventory Control Strategy Based on Order Analysis

  • Yi Qin,
  • Lifen Yun,
  • Hongqiang Fan,
  • Runfeng Yu

摘要

Against the backdrop of the medical reform in China, the pharmaceutical distribution industry is stepping into the era of meager profit. Pharmaceutical companies are confronted with problems including superficial inventory classification, unreasonable procurement methods, etc. To address the above problems, this article proposes the drug inventory control strategy based on the classification of multi-criteria decision-making. We first use the weighted fuzzy C-means clustering method to classify the sampled drugs according to the established criteria. We then further subdivide different categories and determine corresponding inventory control strategies based on requirement analysis. Results suggest that this strategy enhances company inventory management and slashes costs.