Variable Lifting Index (VLI): A New Method for Evaluating Variable Lifting Tasks. (August 2016)
- Record Type:
- Journal Article
- Title:
- Variable Lifting Index (VLI): A New Method for Evaluating Variable Lifting Tasks. (August 2016)
- Main Title:
- Variable Lifting Index (VLI)
- Authors:
- Waters, Thomas
Occhipinti, Enrico
Colombini, Daniela
Alvarez-Casado, Enrique
Fox, Robert - Abstract:
- Objective: We seek to develop a new approach for analyzing the physical demands of highly variable lifting tasks through an adaptation of the Revised NIOSH (National Institute for Occupational Safety and Health) Lifting Equation (RNLE) into a Variable Lifting Index (VLI). Background: There are many jobs that contain individual lifts that vary from lift to lift due to the task requirements. The NIOSH Lifting Equation is not suitable in its present form to analyze variable lifting tasks. Method: In extending the prior work on the VLI, two procedures are presented to allow users to analyze variable lifting tasks. One approach involves the sampling of lifting tasks performed by a worker over a shift and the calculation of the Frequency Independent Lift Index (FILI) for each sampled lift and the aggregation of the FILI values into six categories. The Composite Lift Index (CLI) equation is used with lifting index (LI) category frequency data to calculate the VLI. The second approach employs a detailed systematic collection of lifting task data from production and/or organizational sources. The data are organized into simplified task parameter categories and further aggregated into six FILI categories, which also use the CLI equation to calculate the VLI. Results: The two procedures will allow practitioners to systematically employ the VLI method to a variety of work situations where highly variable lifting tasks are performed. Conclusions: The scientific basis for the VLIObjective: We seek to develop a new approach for analyzing the physical demands of highly variable lifting tasks through an adaptation of the Revised NIOSH (National Institute for Occupational Safety and Health) Lifting Equation (RNLE) into a Variable Lifting Index (VLI). Background: There are many jobs that contain individual lifts that vary from lift to lift due to the task requirements. The NIOSH Lifting Equation is not suitable in its present form to analyze variable lifting tasks. Method: In extending the prior work on the VLI, two procedures are presented to allow users to analyze variable lifting tasks. One approach involves the sampling of lifting tasks performed by a worker over a shift and the calculation of the Frequency Independent Lift Index (FILI) for each sampled lift and the aggregation of the FILI values into six categories. The Composite Lift Index (CLI) equation is used with lifting index (LI) category frequency data to calculate the VLI. The second approach employs a detailed systematic collection of lifting task data from production and/or organizational sources. The data are organized into simplified task parameter categories and further aggregated into six FILI categories, which also use the CLI equation to calculate the VLI. Results: The two procedures will allow practitioners to systematically employ the VLI method to a variety of work situations where highly variable lifting tasks are performed. Conclusions: The scientific basis for the VLI procedure is similar to that for the CLI originally presented by NIOSH; however, the VLI method remains to be validated. Application: The VLI method allows an analyst to assess highly variable manual lifting jobs in which the task characteristics vary from lift to lift during a shift. … (more)
- Is Part Of:
- Human factors. Volume 58:Number 5(2016)
- Journal:
- Human factors
- Issue:
- Volume 58:Number 5(2016)
- Issue Display:
- Volume 58, Issue 5 (2016)
- Year:
- 2016
- Volume:
- 58
- Issue:
- 5
- Issue Sort Value:
- 2016-0058-0005-0000
- Page Start:
- 695
- Page End:
- 711
- Publication Date:
- 2016-08
- Subjects:
- biomechanics -- physical ergonomics -- job analysis -- manual materials handling -- risk assessment
Human engineering -- Periodicals
620.82 - Journal URLs:
- http://hfs.sagepub.com/ ↗
http://www.sagepublications.com/ ↗ - DOI:
- 10.1177/0018720815612256 ↗
- Languages:
- English
- ISSNs:
- 0018-7208
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7505.xml