Production Safety Supervision Evaluation of Traditional Chinese Medicine: A Fuzzy-ANP Comprehensive Evaluation Method

IF 1.7 4区工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Complexity Pub Date : 2025-07-26 DOI:10.1155/cplx/6922958

Wenyi Wang, Jianwang Jiang, Chen Liu, Lei Wang, Xingwang Zhang

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引用次数: 0

Abstract

Purpose: Safety production supervision is the core of the sustainable and healthy development of the traditional Chinese medicine (TCM) industry. This study aims to construct an evaluation system for safety production supervision of TCM enterprises to promote the sustainable development of the industry.

Method: A multidimensional evaluation model was established using a combination of analytic hierarchy process (ANP) and fuzzy comprehensive evaluation method, and empirical analysis was conducted on domestic TCM enterprises.

Result: (1) Overall, the safety production supervision of TCM in China is relatively sound; however, further efforts are needed to enhance environmental protection in TCM production areas, improve the construction of quality standardization systems, and promote the development of authentic TCM cultivation and breeding; (2) There are significant gaps in the quality control of TCM production enterprises, the innovation and inheritance of classic formulas, and the construction of a traceability system for the circulation of TCM; (3) Listed TCM companies generally exhibit better performance in safety production supervision compared to their nonlisted companies, indicating that a strict and comprehensive regulatory system helps to improve the level of safety production supervision for TCM.

Abstract Image

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中药安全生产监管评价：一种模糊- anp综合评价方法

目的：安全生产监管是中药产业持续健康发展的核心。本研究旨在构建中药企业安全生产监管评价体系，促进中药行业的可持续发展。方法：采用层次分析法（ANP）和模糊综合评价法相结合的方法建立多维度评价模型，并对国内中药企业进行实证分析。结果：(1)总体而言，中国中药安全生产监管较为健全；但需要进一步加强中药产区环境保护，完善质量标准化体系建设，促进正宗中药种植育种的发展；(2)中药生产企业质量控制、经典方剂创新传承、中药流通追溯体系建设等方面存在明显空白；(3)中药上市公司安全生产监管总体优于非上市公司，说明严格、全面的监管体系有利于提高中药安全生产监管水平。

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来源期刊

Complexity 综合性期刊-数学跨学科应用

CiteScore

5.80

自引率

4.30%

发文量

595

审稿时长

>12 weeks

期刊介绍： Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.