The challenging problem of identification and control of an industrial binary distillation column is addressed in this paper. Process identification represents an alternative to modeling and is shown to be the appropriate procedure for predictive control design. The predictive controllers based on t
A case-control study of forklift and other powered industrial vehicle incidents
โ Scribed by James W. Collins; Gordon S. Smith; Susan P. Baker; Douglas P. Landsittel; Margaret Warner
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 151 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0271-3586
No coin nor oath required. For personal study only.
โฆ Synopsis
Background This study examined risk factors associated with forklift and other powered industrial vehicle (PIV) collision injuries with an emphasis on the design of factory trafยฎc systems, the loading and safety features of PIVs, and the characteristics of the drivers. Methods A case-control study examined risk factors for circumstances of injuryproducing PIV incidents at eight automotive manufacturing plants between July 1992 and March 1995. A computerized safety and health surveillance system identiยฎed 171 incidents where a PIV (forklift 70%, personnel carriers 15%, other 15%) was involved in a collision incident. Site visits were conducted to collect data regarding the factory environment at the collision site, the PIVs involved in the incidents, and driver characteristics. These data were compared with information collected from a random sample of comparison worksites, PIVs, and PIV drivers who had not been involved in a PIV-related incident in the prior 3 years. Results In half of the cases (86 of 171), an employee (pedestrian) was struck by a PIV or an object being carried by the PIV. The presence of an obstruction that restricted the aisle width increased the odds of a collision incident 1.89 times (95% CI 1.22, 2.86). The presence of overhead mirrors at intersections and blind corners with limited visibility reduced the odds of a PIV collision incident by a third (OR 0.33, 95% CI 0.16, 0.68). When carrying a load, the odds of a PIV being involved in a collision was 1.58 (95% CI 1.03, 2.41) times greater than an unloaded one. Conclusion Changes in the factory environment, vehicle safety features, and driver and pedestrian training are suggested to reduce the risk of PIV incidents.
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