Comparison of Methods for Postural Assessment in the Operation of Agricultural Machinery
- Gessieli Possebom
- Airton dos Santos Alonço
- Sabrina Dalla Corte Bellochio
- Tiago Gonçalves Lopes
- Dauto Pivetta Carpes
- Rafael Sobroza Becker
- Antonio Robson Moreira
- Tiago Rodrigo Francetto
- Fernando Pissetti Rossato
- Bruno Christiano Corrêa Ruiz Zart
Abstract
The aim of this study was to perform a comparative analysis of the methods of ergonomics assessment RULA, REBA, OWAS and TOR-TOM, which the intent is to highlight similarities and differences in their use, during tillage operation with farm machinery. The study was conducted through an exploratory research in Boa Vista do Incra, RS, in August 2017, during soil preparation operation, with a tractor-subsoiler set. The operation was filmed over a period of 10 hours. After that, it was selected one hour of video, which was assumed to be representative, the video was analyzed by the methods RULA, REBA, OWAS and TOR-TOM through the software Ergolândia 5.0 and TOR-TOM, with the aid of information on noise, temperature and strength. For the comparative analyses, it was analyzed the ease of application, the importance of posture and complementary variables, and the scope of activity and postural factors. The OWAS method showed highlight in the ease of application, while the REBA and RULA methods stood out for the importance of the postural variables. For the importance of the complementary variables, RULA, followed by REBA, are worth mentioning as the most suitable. Similar results were obtained for the scope of posture factors, especially for these two methods. Regarding the scope of activity factors, the TOR-TOM obtained the most satisfactory results. Thus, the comparative analysis has highlighted the RULA method as the most suitable for postural analysis in agricultural machinery, besides the REBA method, for presenting very similar situations, contemplating full body analysis.
- Full Text: PDF
- DOI:10.5539/jas.v10n9p252
Journal Metrics
- h-index: 67
- i10-index: 839
- WJCI (2022): 1.220
- WJCI Impact Factor: 0.263
Index
- AGRICOLA
- AGRIS
- BASE (Bielefeld Academic Search Engine)
- Berkeley Library
- CAB Abstracts
- CiteFactor
- CiteSeerx
- CNKI Scholar
- Copyright Clearance Center
- CrossRef
- DESY Publication Database
- DTU Library
- EBSCOhost
- EconPapers
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- Google Scholar
- Harvard Library
- IDEAS
- Index Copernicus
- Jisc Library Hub Discover
- JournalTOCs
- KindCongress
- LIVIVO (ZB MED)
- LOCKSS
- Max Planck Institutes
- Mendeley
- MIAR
- Mir@bel
- NLM Catalog PubMed
- Norwegian Centre for Research Data (NSD)
- OAJI
- Open J-Gate
- OUCI
- PKP Open Archives Harvester
- Polska Bibliografia Naukowa
- Qualis/CAPES
- RefSeek
- RePEc
- ROAD
- ScienceOpen
- Scilit
- SCiNiTO
- Semantic Scholar
- SHERPA/RoMEO
- Southwest-German Union Catalogue
- Standard Periodical Directory
- Stanford Libraries
- SUDOC
- Technische Informationsbibliothek (TIB)
- Trove
- UCR Library
- Ulrich's
- UniCat
- Universe Digital Library
- WorldCat
- WorldWideScience
- WRLC Catalog
- Zeitschriften Daten Bank (ZDB)
Contact
- Anne BrownEditorial Assistant
- jas@ccsenet.org