Application of human HAZOP technique adapted to identify risks in Brazilian waste pickers' cooperatives.

Clicks: 334
ID: 15712
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #58 of 276 articles by views in Journal of environmental management

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 276 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Waste pickers' cooperatives are an important part of curb side collection, presenting different types of structures and responsible for the sorting and separation of recyclable materials. Within these places, the lack of resources, structure and hygiene are intimately related to the great part of the work accidents and the exposure of these workers to risky situations. Several tools in Security Engineering are being studied to minimize and control risks. Among these techniques, HAZOP (Hazard and Operability study) stands out as one that has proven efficient in managing risks in industrial processes and other areas of study. For the applicability of the technique in this study, interviews were conducted with the co-workers. The data were used to prepare a Preliminary Risk Analysis (PRA) and later to create new guiding words for the modification of HAZOP in order to consider the risk from human aspects in the activities. This work aimed to evaluate the HAZOP applied to evaluate errors related to human aspects in three waste pickers cooperatives in Campinas/SP and to compare the data obtained with the PRA. With the application of the PRA, 189 different deviations were identified and the pre-screening step was the one that most violated workers' risks. With HAZOP and using the content analysis tool to evaluate employees' perceptions, it was possible to identify 209 deviations by having the personal question (45%), followed by the managerial question (29%) as the main causes.
Reference Key
fattor2019applicationjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Fattor, Marcus Vinícius;Vieira, Melissa Gurgel Adeodato;
Journal Journal of environmental management
Year 2019
DOI
S0301-4797(19)30756-X
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.