scholarly journals Tactical Risk Assessment Method for Resilient Fuel Supply Chains for a Military Peacekeeping Operation

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4679
Author(s):  
Jacek Ryczyński ◽  
Agnieszka A. Tubis
Keyword(s):  
Supply Chains ◽  
Fuzzy Theory ◽  
Assessment Method ◽  
Risk Level ◽  
Fuel Supply ◽  
Risk Assessment Method ◽  
The Individual ◽  
Supply Systems ◽  
And Storage

The article focuses on research on the functioning of liquid fuel supply chains, supplying troops carrying out peacekeeping and stabilisation operations in a foreign territory. Timely and complete supplies of fuels in war conditions determine the achievement of the assumed goals of a military operation. They often determine the health and life of soldiers. For this reason, the role of building the resilience of supply chains to disruptions, the type and frequency of which is entirely different from the undesirable events occurring in civil goods flows, is increasing. Therefore, the critical concept supporting building the resilience of fuel supply chains is risk management in these chains. The authors have developed a risk analysis method that integrates the Kaplan and Garrick approach and the fuzzy theory. The analysis identifies the existing disturbances and assigns them to the individual phases of the supply process. To illustrate the applicability of the proposed method, the authors analyse nine scenarios for the three most important stages of the procurement process in terms of building the resilience of the entire chain: Planning, delivery and storage. The fuzzy theory estimates the risk level for the analysed scenarios of adverse events. The proposed method is universal. It can be implemented to analyse the resistance of supply chains of other materials. It can also support the decision-making process for those responsible for planning, organisation and proper functioning of supply systems in all high-risk conditions, not only in the zone of war and stabilisation operations.

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

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Riana Septiani ◽  
Keyword(s):  
Hazard Analysis ◽  
Assessment Method ◽  
Hazard Identification ◽  
Risk Level ◽  
Accident Risk ◽  
Risk Assessment Method ◽  
Accident Data ◽  
Safety Accident ◽  
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. Keywords: safety, accident, risk, hazard identification,

A New Fine-Kinney Method Based on Clustering Approach

2020 ◽  
Vol 28 (03) ◽  
pp. 497-512
Author(s):  
Cansu Dagsuyu ◽  
Murat Oturakci ◽  
Esra Sarac Essiz
Keyword(s):  
Risk Assessment ◽  
Conventional Method ◽  
Clustering Algorithms ◽  
Assessment Method ◽  
Distance Functions ◽  
Risk Level ◽  
New Approach ◽  
Clustering Techniques ◽  
Risk Assessment Method ◽  
Clustering Approach

In this study, a new approach to Fine-Kinney risk assessment method is developed in order to overcome the limitations of the conventional method with clustering algorithms. New risk level of classes are attempted to determine with K-Means and Hierarchical clustering algorithms with using two different distance functions which are Euclidean and Manhattan distances. According to the results, K-Means algorithms have provided accurate and sensitive cluster of classes. Classes from conventional and K-Means algorithms are applied and compared to the identified risks of a workshop of a medium sized textile company. Results of the study indicate that clustering techniques are new, original and applicable way to define new classes in order to prioritize risks by overcoming the drawbacks of conventional Fine-Kinney method.

scholarly journals A Dynamic Risk Assessment Method for Deep-Buried Tunnels Based on a Bayesian Network

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Yan Wang ◽  
Jie Su ◽  
Sulei Zhang ◽  
Siyao Guo ◽  
Peng Zhang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Bayesian Network ◽  
Influencing Factors ◽  
Assessment Method ◽  
Assessment Model ◽  
Risk Level ◽  
Dynamic Risk ◽  
Risk Rating ◽  
Risk Assessment Method ◽  
Dynamic Risk Assessment

In view of the shortcomings in the risk assessment of deep-buried tunnels, a dynamic risk assessment method based on a Bayesian network is proposed. According to case statistics, a total of 12 specific risk rating factors are obtained and divided into three types: objective factors, subjective factors, and monitoring factors. The grading criteria of the risk rating factors are determined, and a dynamic risk rating system is established. A Bayesian network based on this system is constructed by expert knowledge and historical data. The nodes in the Bayesian network are in one-to-one correspondence with the three types of influencing factors, and the probability distribution is determined. Posterior probabilistic and sensitivity analyses are carried out, and the results show that the main influencing factors obtained by the two methods are basically the same. The constructed dynamic risk assessment model is most affected by the objective factor rating and monitoring factor rating, followed by the subjective factor rating. The dynamic risk rating is mainly affected by the surrounding rock level among the objective factors, construction management among the subjective factors, and arch crown convergence and side wall displacement among the monitoring factors. The dynamic risk assessment method based on the Bayesian network is applied to the No. 3 inclined shaft of the Humaling tunnel. According to the adjustment of the monitoring data and geological conditions, the dynamic risk rating probability of level I greatly decreased from 81.7% to 33.8%, the probability of level II significantly increased from 12.3% to 34.0%, and the probability of level III increased from 5.95% to 32.2%, which indicates that the risk level has risen sharply. The results show that this method can effectively predict the risk level during tunnel construction.

scholarly journals Relationships Among Propagule Numbers of Botryosphaeria dothidea, Latent Infections, and Severity of Panicle and Shoot Blight in Pistachio Orchards

Plant Disease ◽  
2003 ◽  
Vol 87 (7) ◽  
pp. 846-853 ◽  
Author(s):  
N. Ahimera ◽  
G. F. Driever ◽  
T. J. Michailides
Keyword(s):  
Disease Severity ◽  
Latent Infection ◽  
Assessment Method ◽  
Latent Infections ◽  
Botryosphaeria Dothidea ◽  
Growing Seasons ◽  
Risk Assessment Method ◽  
Shoot Blight ◽  
Fruit Disease

Experiments were conducted between 1999 and 2001 to monitor the presence of propagules of Botryosphaeria dothidea and frequencies of latent infections on pistachio leaves and fruit clusters and to determine their relationships to panicle and shoot blight severity in commercial orchards. Numbers of B. dothidea propagules recovered from washing leaves and fruit clusters varied among the growing seasons and sampling dates. Lower numbers of B. dothidea propagules were obtained in 1999 and 2001 than in 2000. For the orchard in Glenn County, up to 75 propagules per leaf and 21 propagules per fruit cluster were recorded in 1999, compared with 365 and 248 propagules per leaf and fruit cluster, respectively, in 2000. Although more propagules were detected per leaf, the infection levels were higher on fruit clusters, suggesting that pistachio fruit is more susceptible to B. dothidea infection than leaves. Latent infections were detected as soon as leaves or fruit clusters started to expand and more infections were obtained in 2000 than 1999 or 2001. Significant (P < 0.05) relationships between propagules on leaves or frequency of infections on leaves (independent variables) and propagules on fruit clusters or frequency of infected fruit clusters (dependent variables) with r values ≥ 0.50 provide support for the role of latent infection in panicle and shoot blight later in the season. Propagules on leaves and fruit clusters were not significantly correlated to disease severity, but frequencies of latent infection on leaves and fruit clusters were positively correlated (P ≥ 0.05) with leaf and fruit disease severity under field conditions with r2 ranging between 0.25 and 0.42. Quantitative relationships between latent infections and disease severity may be incorporated in a prediction model for disease development or be used to develop a risk assessment method to guide growers in their effort to control panicle and shoot blight of pistachio.

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 Modularised logic tree risk assessment method for carbon capture and storage projects

2009 ◽  
Vol 1 (1) ◽  
pp. 2495-2502 ◽  
Author(s):  
M. Gerstenberger ◽  
A. Nicol ◽  
M. Stenhouse ◽  
K. Berryman ◽  
M. Stirling ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Carbon Capture ◽  
Carbon Capture And Storage ◽  
Assessment Method ◽  
Logic Tree ◽  
Risk Assessment Method ◽  
And Storage

scholarly journals Risk Assessment of Groundwater Pollution in a Mining Area Based on Physical Processes

2019 ◽  
Vol 98 ◽  
pp. 09025 ◽  
Author(s):  
Zhiwei Qi ◽  
Changlai Xiao ◽  
Bo Zhang ◽  
Xiujuan Liang ◽  
Ge Wang
Keyword(s):  
Risk Assessment ◽  
Spatial Distribution ◽  
Groundwater Pollution ◽  
Single Point ◽  
Assessment Method ◽  
Aquifer Vulnerability ◽  
Risk Level ◽  
Physical Processes ◽  
Risk Assessment Method ◽  
The Impact

At present, the study of groundwater pollution risk assessment is generally based on the study of groundwater vulnerability. The impact of the pollutants themselves has not been paid more attention. The assessment of the risk of groundwater pollution should include two aspects: one is the contaminated nature of the aquifer itself and the other is spatial distribution of the pollutant. The vulnerability of the aquifer is only the natural susceptibility of the aquifer to the contaminant. Therefore, the risk assessment of groundwater pollution should also reflect the distribution and transport of pollutants in an aquifer. This study takes a tailings area as an example, and puts forward the risk assessment method of groundwater pollution based on physical processes. Before aquifer contamination occurs, the experts determine spatial distribution of each risk level according to the surrounding economic and social sensitivity conditions and hydrogeological conditions; and then use the numerical model to invert the intensity of the pollution source corresponding to each risk level. The results show that this method can express the distribution in space and time of risk level. For a single point source of contamination, this method is better than the previous based on aquifer vulnerability risk assessment method.

Human-Factor-Based Risk Management in the Healthcare to Improve Patient Safety

2020 ◽  
pp. 453-468
Author(s):  
Barbara Streimelweger ◽  
Katarzyna Wac ◽  
Wolfgang Seiringer
Keyword(s):  
Risk Assessment ◽  
Patient Safety ◽  
Human Factors ◽  
Human Factor ◽  
Improve Patient Safety ◽  
Assessment Method ◽  
Risk Level ◽  
Effect Analysis ◽  
Risk Assessment Method ◽  
Improve Patient

‘Patient Safety' tries to increase safety and transparency within healthcare systems for both patients and professionals. Within the healthcare sector, workflows become more and more complex, while time and money become scarce. As a consequence, the risk awareness, fault management and quality aspects become more important. One of the most well established risk assessment method is Failure Mode and Effect Analysis (FMEA) – a reliability analysis and risk assessment tool widely used in various industries. The traditional FMEA is using a Risk Priority Number (RPN) ranking system to evaluate and identify the risk level of failures, and to prioritize actions. However, there are several shortcomings in obtaining a quality estimate of the failure ratings with FMEA, especially when human factors play an important role. Thus, a new risk assessment method called HFdFMEA (Human Factor dependent FMEA) based on the dependency of used parameters and the observation of human factors, is proposed to address the drawbacks. The opportunity to improve patient safety is discussed as result of HFdFMEA.

Design of exogenous fuel supply systems: adaptive strategies for endurance locomotion

1988 ◽  
Vol 66 (5) ◽  
pp. 1116-1121 ◽  
Author(s):  
Jean-Michel Weber
Keyword(s):  
Binding Sites ◽  
Adaptive Strategies ◽  
Submaximal Exercise ◽  
Regulatory Mechanisms ◽  
Fuel Supply ◽  
Hepatic Glucose ◽  
Endogenous Substrates ◽  
Supply Systems ◽  
And Storage ◽  
Ffa Transport

The prolonged performance of submaximal exercise depends on the adequate supply of exogenous fuels (e.g., hepatic glucose) to slow down the use of endogenous substrates (e.g, intramuscular fat or glycogen) and delay their depletion. This paper investigates the adaptive strategies available to vertebrates for increasing the rate of exogenous fuel supply in endurance locomotion. Two steps can be defined for the design of a "good" system: (i) the choice of oxidizable fuels and storage sites that maximize the rate of energy transfer to the working muscle and (ii) the provision of adequate regulatory mechanisms which alter substrate fluxes rapidly in response to work of different intensities. The principal oxidizable fuels used by vertebrates (free fatty acids (FFA), glucose, and lactate) are examined to determine the major constraints on maximal supply rates. The delivery of albumin binding sites to adipose tissue represents a specific constraint on FFA transport to working muscles. Furthermore, because the supply of all exogenous fuels is probably limited by membrane transport, animals requiring the rapid use of oxidizable substrates to sustain locomotion can follow two strategies: (i) switch to endogenous substrates whenever possible to avoid this constraint and (ii) evolve different transmembrane fuel carriers or augment the density of existing ones to increase maximal rates of substrate translocation across cell membranes.

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