Construction and application of an occupational health risk grading method based on risk matrix and dynamic weighting: a case study of footwear manufacturing enterprises

Hongying Bian, Xin Wang, Yiwen Dong, Ning Kang, Lin Zhang · 2026

Read Construction and application of an occupational health risk grading method based on risk matrix and dynamic weighting: a case study of footwear manufacturing enterprises by Hongying Bian, Xin Wang, Yiwen Dong, Ning Kang, Lin Zhang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13582643.txt.

Description

Hongying Bian and co-authors build a new way to grade workplace health risks and try it in shoe factories, in a 2026 study. Footwear plants expose workers to solvents, dust, and noise, and each existing rating method sees only part of that picture. The team combined four established approaches into one method. It blends a risk matrix with weights that shift as conditions change, and scores were normalized so the methods could merge.

Four factories were measured on site for chemicals, dust, and noise, and each was scored by all four methods and by the new combined one. The authors argue the merged grading supports finer, more dynamic control of plant hazards. Validation rests on how well the grades track measured exposures.

Catalog record

CREATORHongying Bian, Xin Wang, Yiwen Dong, Ning Kang, Lin Zhang
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE78 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13582643

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