LIN Li,WANG Jianrong,LIN Shuqing,et al.Practical application of ABC-XYZ analysis in traditional Chinese medicine decoction pieces inventory management[J].ZHONGGUO YAOFANG,2026,37(11):1403-1407.
LIN Li,WANG Jianrong,LIN Shuqing,et al.Practical application of ABC-XYZ analysis in traditional Chinese medicine decoction pieces inventory management[J].ZHONGGUO YAOFANG,2026,37(11):1403-1407.DOI: 10.6039/j.issn.1001-0408.2026.11.04.
Practical application of ABC-XYZ analysis in traditional Chinese medicine decoction pieces inventory management
To improve the inventory turnover rate of traditional Chinese medicine (TCM) decoction pieces in hospitals and achieve refined inventory management for cost reduction and efficiency improvement.
METHODS
2
Inventory data of TCM decoction pieces in our hospital from 2022 to 2023 were collected. Based on the sale amount and demand coefficient of variation respectively, the ABC classification method and XYZ analysis method were adopted for classification. The two classification results were combined through a cross matrix to divide them into three-level management priorities: level Ⅰ (AX, AY, BX), level Ⅱ (AZ, BY, CX), and level Ⅲ (BZ, CY, CZ). Differentiated inventory strategies were formulated for each level, and core indicators such as turnover rate and inventory cost before and after inventory management optimization were compared.
RESULTS
2
There were 58 types (14.22%) in level Ⅰ, 85 types (20.83%) in level Ⅱ, and 265 types (64.95%) in level Ⅲ. After inventory management optimization, the average inventory value of TCM decoction pieces decreased by 341 800 yuan, the average turnover rate increased by 73.03%, and the average turnover days decreased by 4.98 days. The differences in all indicators before and after optimization were statistically significant (
P
<0.01).
CONCLUSIONS
2
The ABC-XYZ analysis method can break through the single-dimensional limitation of the traditional ABC classification method, adapt to characteristics such as the strong seasonality of TCM decoction pieces, significantly optimize the inventory structure, improve turnover efficiency, and reduce operating costs. It provides a feasible plan for the refined and scientific management of hospital TCM warehouses.
ZHAO W , LU J , YAN H M , et al . Treatment of acute pharyngitis in rats with season tea decoctions from traditional Chinese medicine through a synergistic and subtle regulation of ARNTL and BHLHE40 [J ] . J Ethnopharmacol , 2025 , 337 : 118924 .
ZOU X H , CHANG K , FAN G H , et al . Effectiveness and safety of Sanhan huashi granules versus nirmatrelvir-ritonavir in adult patients with COVID-19:a randomized,open-label,multicenter trial [J ] . Sci Bull , 2024 , 69 ( 12 ): 1954 - 1963 .
DEMIRAY KıRMıZı S , CEYLAN Z , BULKAN S . Enhancing inventory management through safety-stock strategies:a case study [J ] . Systems , 2024 , 12 ( 7 ): 260 .
RAZAVI HAJIAGHA S H , DANESHVAR M , ANTUCHEVICIENE J . A hybrid fuzzy-stochastic multi-criteria ABC inventory classification using possibilistic chance-constrained programming [J ] . Soft Comput , 2021 , 25 ( 2 ): 1065 - 1083 .
TYWORTH J E . The gamma distribution and inventory control:disruptive lead times under conventional and nonclassical conditions [J ] . Logistics , 2025 , 9 ( 2 ): 67 .
RAFIGH P , AKBARI A A , BIDHANDI H M , et al . A sustainable supply chain network considering lot sizing with quantity discounts under disruption risks:centralized and decentralized models [J ] . J Comb Optim , 2022 , 44 ( 3 ): 1387 - 1432 .
CHEN C N , LAI C H , LU G W , et al . Applying simulation optimization to minimize drug inventory costs:a study of a case outpatient pharmacy [J ] . Healthcare , 2022 , 10 ( 3 ): 556 .
Analysis of differential metabolites in different parts of Angelica dahurica (Fisch.ex Hoffm.) Benth. et Hook. f. ex Franch. et Savat. based on untargeted metabolomics
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