Hazard Analysis and Risk Assessment for the Operators of Stand-Up Forklifts

2008 ◽  
Author(s):  
Ben T. Railsback ◽  
Richard M. Ziernicki
Keyword(s):  
Risk Assessment ◽  
At Risk ◽  
Hazard Analysis ◽  
Stationary Object ◽  
Data Set ◽  
Truck Accidents ◽  
Accident Data ◽  
The Stability ◽  
Serious Injuries

Past studies have indicated that the greatest risk that a forklift operator faces is the hazard of an overturning forklift crushing the operator. This conclusion has been developed largely based on accident experience with sit-down forklifts. In contrast, this paper examines a data set of approximately 3,000 stand-up lift truck accidents (rather than sit-down forklifts) and finds that the operator of a stand-up lift truck is at greater risk of being involved in a collision with a stationary object than at risk for an accident involving the stability of the forklift. Greater than 50% of the approximately 3,000 accidents studied involved a collision between a stand-up forklift and a stationary object, resulting in approximately 700 serious injuries and 22 deaths of stand-up forklift operators. This paper will also identify the hazards associated with the use of stand-up lift trucks and the statistical likelihood of the hazard based on the approximately 3,000 accident data set.

ANALISIS PENERAPAN KESELAMATAN KERJA DALAM UPAYA PENGENDALIAN KECELAKAAN KERJA DI PT. BUDI DWIYASA PERKASA

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Farah Alhamid ◽  
Keyword(s):  
Risk Assessment ◽  
Hazard Analysis ◽  
Assessment Method ◽  
Hazard Identification ◽  
Risk Level ◽  
Protective Equipment ◽  
Risk Assessment Method ◽  
Accident Data ◽  
Plantation Company ◽  
Work Done

Abstract In conducting activities, many found workers who did not use personal protective equipment, do not pay attention to safety in work and work done like without procedure. PT. Budi Dwiyasa Perkasais a plantation company palm oil. Based on accident data obtained work, there are 14 case of accident in April until June 2016 in PT. Budi Dwiyasa Perkasa. A major factor cause of the accident is unsafe actions and unsafe conditions. Hazard analysis needs to be done in order to prevent the accident of work. Hazard identification done with using the risk assessment method. This analysis of the technique used to determine the level of the risk of a job is a combination of between the possibility of the harms caused by the severity of the caused. The result of hazard identification with this method is used in a kind of work to have a high risk level and need to address special in order to prevent the accident.

scholarly journals Definitions and Concepts for Quantitative Rockfall Hazard and Risk Analysis

Geosciences ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 158
Author(s):  
Didier Hantz ◽  
Jordi Corominas ◽  
Giovanni B. Crosta ◽  
Michel Jaboyedoff
Keyword(s):  
Risk Assessment ◽  
At Risk ◽  
Failure Probability ◽  
Rockfall Hazard ◽  
Process Failure ◽  
Failure Propagation ◽  
Element At Risk ◽  
Hazard And Risk ◽  
Hazard And Risk Assessment ◽  
Definition Of

There is an increasing need for quantitative rockfall hazard and risk assessment that requires a precise definition of the terms and concepts used for this particular type of landslide. This paper suggests using terms that appear to be the most logic and explicit as possible and describes methods to derive some of the main hazards and risk descriptors. The terms and concepts presented concern the rockfall process (failure, propagation, fragmentation, modelling) and the hazard and risk descriptors, distinguishing the cases of localized and diffuse hazards. For a localized hazard, the failure probability of the considered rock compartment in a given period of time has to be assessed, and the probability for a given element at risk to be impacted with a given energy must be derived combining the failure probability, the reach probability, and the exposure of the element. For a diffuse hazard that is characterized by a failure frequency, the number of rockfalls reaching the element at risk per unit of time and with a given energy (passage frequency) can be derived. This frequency is relevant for risk assessment when the element at risk can be damaged several times. If it is not replaced, the probability that it is impacted by at least one rockfall is more relevant.

scholarly journals Hospital acquired pressure injury prediction in surgical critical care patients

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jenny Alderden ◽  
Kathryn P. Drake ◽  
Andrew Wilson ◽  
Jonathan Dimas ◽  
Mollie R. Cummins ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Model Performance ◽  
Routine Care ◽  
Predictor Variables ◽  
Classification Algorithms ◽  
Data Set ◽  
Icu Patients ◽  
Pressure Injury ◽  
Surgical Icu ◽  
Hospital Acquired

Abstract Background Hospital-acquired pressure injuries (HAPrIs) are areas of damage to the skin occurring among 5–10% of surgical intensive care unit (ICU) patients. HAPrIs are mostly preventable; however, prevention may require measures not feasible for every patient because of the cost or intensity of nursing care. Therefore, recommended standards of practice include HAPrI risk assessment at routine intervals. However, no HAPrI risk-prediction tools demonstrate adequate predictive validity in the ICU population. The purpose of the current study was to develop and compare models predicting HAPrIs among surgical ICU patients using electronic health record (EHR) data. Methods In this retrospective cohort study, we obtained data for patients admitted to the surgical ICU or cardiovascular surgical ICU between 2014 and 2018 via query of our institution's EHR. We developed predictive models utilizing three sets of variables: (1) variables obtained during routine care + the Braden Scale (a pressure-injury risk-assessment scale); (2) routine care only; and (3) a parsimonious set of five routine-care variables chosen based on availability from an EHR and data warehouse perspective. Aiming to select the best model for predicting HAPrIs, we split each data set into standard 80:20 train:test sets and applied five classification algorithms. We performed this process on each of the three data sets, evaluating model performance based on continuous performance on the receiver operating characteristic curve and the F1 score. Results Among 5,101 patients included in analysis, 333 (6.5%) developed a HAPrI. F1 scores of the five classification algorithms proved to be a valuable evaluation metric for model performance considering the class imbalance. Models developed with the parsimonious data set had comparable F1 scores to those developed with the larger set of predictor variables. Conclusions Results from this study show the feasibility of using EHR data for accurately predicting HAPrIs and that good performance can be found with a small group of easily accessible predictor variables. Future study is needed to test the models in an external sample.

scholarly journals The Predictive Accuracy of the Violent Offender Treatment Program Risk Assessment Scale

1999 ◽  
Vol 26 (1) ◽  
pp. 125-140 ◽  
Author(s):  
ANN WARD ◽  
JOHN DOCKERILL
Keyword(s):  
Risk Assessment ◽  
At Risk ◽  
Treatment Program ◽  
Predictive Accuracy ◽  
Violent Behavior ◽  
Violent Offenders ◽  
Assessment Scale ◽  
Violent Offender ◽  
Offender Treatment ◽  
Cutoff Score

Current methods for screening violent offenders for program eligibility are expensive and time consuming. Developers of the Violent Offender Treatment Program (VOTP) have designed a brief and economical instrument to screen offenders for program eligibility. The present study was undertaken to assess the reliability and predictive accuracy of the VOTP Risk Assessment Scale (RAS). An interrater reliability of 20 court histories attained a mean kappa of .81. The RAS was applied to court histories of 202 violent offenders released between 1985 and 1987. A 10-year follow-up of convictions for violent behavior yielded a 47% base rate. Receiver Operating Characteristic curves showed that for varying time-at-risk periods, the predictive accuracy remained between .72 and .76. The recommended cutoff score for all time-at-risk periods was 11. The relatively high accuracy rate of the VOTP RAS indicated that it was accurate enough to aid program eligibility decisions.

Fusion based learning approach for predicting concrete pouring productivity based on construction and supply parameters

2016 ◽  
Vol 16 (2) ◽  
pp. 185-202 ◽  
Author(s):  
Mojtaba Maghrebi ◽  
Ali Shamsoddini ◽  
S. Travis Waller
Keyword(s):  
Supply Chain ◽  
Production Rate ◽  
Learning Method ◽  
Data Set ◽  
Content Type ◽  
Field Database ◽  
The Stability ◽  
Stable Learning ◽  
Ready Mixed Concrete ◽  
Practical Implications

Purpose The purpose of this paper is to predict the concrete pouring production rate by considering both construction and supply parameters, and by using a more stable learning method. Design/methodology/approach Unlike similar approaches, this paper considers not only construction site parameters, but also supply chain parameters. Machine learner fusion-regression (MLF-R) is used to predict the production rate of concrete pouring tasks. Findings MLF-R is used on a field database including 2,600 deliveries to 507 different locations. The proposed data set and the results are compared with ANN-Gaussian, ANN-Sigmoid and Adaboost.R2 (ANN-Gaussian). The results show better performance of MLF-R obtaining the least root mean square error (RMSE) compared with other methods. Moreover, the RMSEs derived from the predictions by MLF-R in some trials had the least standard deviation, indicating the stability of this approach among similar used approaches. Practical implications The size of the database used in this study is much larger than the size of databases used in previous studies. It helps authors draw their conclusions more confidently and introduce more generalised models that can be used in the ready-mixed concrete industry. Originality/value Introducing a more stable learning method for predicting the concrete pouring production rate helps not only construction parameters, but also traffic and supply chain parameters.

An integrated risk-assessment framework for multiple threats to floodplain values in the Kakadu Region, Australia, under a changing climate

2018 ◽  
Vol 69 (7) ◽  
pp. 1159 ◽  
Author(s):  
P. Bayliss ◽  
C. M. Finlayson ◽  
J. Innes ◽  
A. Norman-López ◽  
R. Bartolo ◽  
...  
Keyword(s):  
Risk Assessment ◽  
At Risk ◽  
Invasive Species ◽  
Freshwater Ecosystems ◽  
Sensitivity Analyses ◽  
Assessment Framework ◽  
Integrated Risk Assessment ◽  
Invasive Species Control ◽  
Integrated Risk ◽  
Time Frames

The internationally important river–floodplains of the Kakadu Region in northern Australia are at risk from invasive species and future sea-level rise–saltwater inundation (SLR–SWI), requiring assessments of multiple cumulative risks over different time frames. An integrated risk-assessment framework was developed to assess threats from feral animals and aquatic weeds at three SLR-scenario time frames (present-day, 2070 and 2100) to natural (magpie goose habitats), cultural (indigenous hunting–fishing sites) and economic (tourism revenue less invasive species control costs) values. Probability density functions (pdfs) were fitted to spatial data to characterise values and threats, and combined with Monte Carlo simulation and sensitivity analyses to account for uncertainties. All risks were integrated in a Bayesian belief network to undertake ‘what if’ management-scenario analyses, and incorporated known ecological interactions and uncertainties. Coastal landscapes and socio-ecological systems in the region will be very different by 2100 as a result of SLR; freshwater ecosystems will transform to marine-dominated ecosystems and cannot be managed back to analogue conditions. In this context, future invasive-species risks will decrease, reflecting substantial loss of freshwater habitats previously at risk and a reduction in the extent of invasive species, highlighting the importance of freshwater refugia for the survival of iconic species.

Developing physical resilience strategies in passive defense according to identification of endangered areas of urban environments (case study: Ahvaz city)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mozhdeh Pouryarmohammadi ◽  
Hasan Ahmadi ◽  
AliAkbar Salaripour
Keyword(s):  
Risk Assessment ◽  
At Risk ◽  
Urban Form ◽  
Urban Areas ◽  
Quality Function Deployment ◽  
Quantitative Methods ◽  
City Centre ◽  
Urban Resilience ◽  
Content Type ◽  
Oil Companies

Purpose This paper aims to focus on reducing the vulnerability of Ahvaz city against urban disasters and lowering the number of casualties and amount of financial losses using modern approaches to develop resilience strategies that can increase urban safety to an acceptable level. The strategic situation of Ahvaz city, because of its abundant resources, the war experience and its location on the boundary regions of Iran, highlights its significance. Ahvaz has a high population and an extended texture, and the existence of extraordinary constructions increases the importance of physical resilience in this city. Design/methodology/approach The present study investigates built environment aspects such as the urban structure, the urban form, land-use proximity pattern, urban road network and crucial and vulnerable centres in Ahvaz, using a combination of qualitative and quantitative methods. Hence, the areas at risk in Ahvaz were identified and illustrated in a comprehensive risk assessment map, and then, by using the strengths, weaknesses, opportunities and threats technique and finally by using the Delphi method, some strategies and plans were presented to reduce the level of vulnerability in Ahvaz. Then, these strategies are prioritized by applying quality function deployment (QFD) technique. Findings The risk assessment result shows that most parts of Ahvaz’s urban areas are highly at risk. The central and northern parts of Ahvaz have the highest vulnerability at a time of crisis. These zones include district 1 (city centre) and districts 2, 3 and 7 at the city’s margins. The result of QFD process showed that the essential urban resilience strategy is to positively consider the passive defence studies with a physical resilience approach. Also, the proper distribution of strategic points in the city, moving the industrial and oil companies from the peripheral area, and facilitating access to vital, crucial centres to support urban regions are considered the most effective strategic plans. Originality/value This paper, with an integrated approach, examines and prioritizes the main physical problems of Ahvaz city based on the spatial analysis and opinions of experts. The physical strategies presented in this paper can significantly reduce the risks and increase the urban resilience of Ahvaz city in the face of crisis.

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