scholarly journals Risk Propagation of Concentralized Distribution Logistics Plan Change in Cruise Construction

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1398
Author(s):  
Yahong Zheng ◽  
Jiangcen Ke ◽  
Haiyan Wang
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Planning System ◽  
Variation Method ◽  
Analytic Hierarchy ◽  
Schedule Delay ◽  
Risk Increase ◽  
Distribution Logistics ◽  
System Risk ◽  
Plan Change

Compared with the ordinary merchant ship building, the concentralized distribution in cruise building is more complex. Plan change is a common phenomenon in cruise building, and it is easy to lead to mismatch between production and logistics, resulting in risks such as production schedule delay and inventory backlog. In order to reduce the adverse effects of plan change on the shipyard, it is necessary to conduct an in-depth study on the risks of a centralized distribution logistics plan. Based on the analysis of the composition of the centralized distribution logistics planning system, risk factors in different plan links are identified in this paper. A system dynamic model is constructed to simulate the propagation of five basic types of planning risk, including procurement plan, warehousing plan, pallet concentralization plan, distribution plan and production plan. In the case study of HVAC (heating, ventilation and air conditioning) materials, the values of risk factors are estimated though consulting experts with questionnaire. The weight of each risk factor in each subsystem is calculated by a method combined with analytic hierarchy process and coefficient of variation method. Through the simulation experiments carried out in Vensim, it is found that both inventory backlog risk and cruise construction schedule delay risk increase with the increasement of estimated values of risk factors, which is an effective proof of the rationality of the model, and that the most sensitive risk factor for both the two kinds of risk is production planning risk.

scholarly journals Frazil jam risk assessment for water diversion projects

2019 ◽  
Vol 20 (2) ◽  
pp. 428-439 ◽  
Author(s):  
Mengkai Liu ◽  
Jia Yang ◽  
Guanghua Guan
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Risk Factor ◽  
Evaluation Method ◽  
Water Diversion ◽  
Risk Level ◽  
Prevention Measures ◽  
Long Distance ◽  
Analytic Hierarchy ◽  
North Water

Abstract Frazil jams are common ice phenomena in rivers in winter and also threaten the safe operation and limit the water conveyancing efficiency of long-distance canal systems in cold regions. In this paper, based on the canal pool conditions from the Fenzhuanghe sluice to the Beijumahe sluice of the Middle Route of the South-to-North Water Diversion Project, the analytic hierarchy process (AHP) and the fault tree principle (FTP) for frazil jam risk assessment are proposed. The risk factors of frazil jams are then identified based on the AHP. Then the probability and consequence severity of frazil jams induced by each risk factor are scored by experts, and the weights of each risk factor are proposed. Finally, risk level and prevention measures are proposed. The results show that there are 20 risk factors for canal frazil jams and the possibility of risk factors is positively correlated with the consequence severity. As yet, experts have not formed a unified view on the frazil jam mechanism of water diversion projects, and the scoring results are highly dependent on expert positions. This paper recommends the FTP as the frazil jam risk evaluation method, and the corresponding frazil jam level of the project is level III.

INCIDENCE AND MORTALITY RATE FOR GESTATIONAL TROPHOBLASTIC DISEASE (Preprint)

2020 ◽  
Author(s):  
Igor Roszkowski
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Mortality Rate ◽  
Gestational Trophoblastic Disease ◽  
Northern Region ◽  
Live Births ◽  
Trophoblastic Disease ◽  
The North ◽  
Incidence And Mortality ◽  
System Risk

BACKGROUND Gestational trophoblastic disease is a pregnancy anomaly that represents a series of invasive diseases that can metastasize or lead to death. Risk factors are genetic, racial, nutritional, and social. OBJECTIVE Analyze the number of cases of gestational trophoblastic disease, the incidence and risk factor among all patients hospitalized in Brazil from 2012 to 2017. METHODS Data collected from all hospitalizations across Brazil for hospitalized by gestational trophoblastic disease from 2012 to 2017. The incidences were calculated based on data from live births and mortality with data obtained from the Brazilian public health system. Risk factor were statistically analyzed based in race, region and age of the patients. RESULTS There were 20,534 cases of gestational trophoblastic disease with an incidence of 1.17 per 1000 live births in this period. The highest incidence was among “Asians” race (3.73 per 1000 live births; P<.001). The Brazilian regions had similar incidences, except for the Northern region, which had a lower incidence of 0.83 per 1000 live births (P=.03). The extremes of age (younger than 14 years and over 40 years) had a higher incidence compared to other women (P<.001). There were 35 deaths, and the mortality rate was 0.17% (35/20,534). The risk factors for death were living in the North region (P< .001) and “black” race (P<.001) or brown patients of color (P=.01). CONCLUSIONS The incidence found was similiar to North America and Europe. A higher incidence among "Asian" race and confirmation of higher incidence in the young and older women.

scholarly journals Risk Factors Affecting Ground Improvement Work in the Gulf Corporation Council Countries

2020 ◽  
Vol 14 (1) ◽  
pp. 228-237
Author(s):  
Bashar Tarawneh ◽  
Khaled Al Ajmi
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Ground Improvement ◽  
Site Investigation ◽  
Project Managers ◽  
Performance Criteria ◽  
Cost Overruns ◽  
Factors Affecting ◽  
Schedule Delay ◽  
The Impact

Aim: This research aims to identify the risk factors related to ground improvement projects in the Gulf Corporation Council Countries (GCC). Background: Investigating and identifying those factors are essential to avoid schedule delay, cost overruns, diminished quality, and failure to achieve the project design requirements. Methods: A questionnaire was used to prioritize the possible risk factors that influence the ground improvement projects in the GCC. Results: Data were collected using a questionnaire completed by 120 respondents who work in the ground improvement industry in the GCC, including geotechnical engineers, technical managers, operation managers, project engineers, and project managers. Participants were asked three questions for each risk factor. Questions were about the impact, probability, and detection of the risk factor. Responses were analyzed using descriptive statistics, Responses' Score (R.S.), and Risk Priority Number (RPN). Conclusion: Five risk factors were included in the questionnaire, namely, site investigation, ground improvement technique, environmental conditions, ground improvement design, and ground improvement performance criteria. This paper also presents detailed recommendations to mitigate each risk factor.

Risk Analysis of Marine Riser Based on Improved Fuzzy AHP Method

2014 ◽  
Vol 496-500 ◽  
pp. 2779-2783 ◽  
Author(s):  
Shu Rong Yu ◽  
Xue Liu
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Fuzzy Ahp ◽  
Marine Riser ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Simulation Results ◽  
Hierarchy Process ◽  
Accident Statistics ◽  
Good Agreement

Abstract: Many marine riser risk factors in service were analyzed and the riser risk factor hierarchical structure was modeled, the weight of each riser risk factor was evaluated by the improved fuzzy analytic hierarchy process (AHP) method. The simulation results and accident statistics from both home and abroad are in good agreement. It proves that the method has good practicability, more scientific, reasonable and simple than the traditional fuzzy AHP. The results provide theoretical reference for maintenance and management, danger elimination and reinforcement of marine riser.

Hemmkörperentwicklung bei Hämophilie-Patienten nach Präparate wechsel

2012 ◽  
Vol 32 (S 01) ◽  
pp. S39-S42 ◽  
Author(s):  
S. Kocher ◽  
G. Asmelash ◽  
V. Makki ◽  
S. Müller ◽  
S. Krekeler ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Observational Study ◽  
Retrospective Observational Study ◽  
Frequent Change ◽  
Patient Age ◽  
Treatment Regimens ◽  
Patient Âgé ◽  
The Relationship ◽  
Observation Period

SummaryThe retrospective observational study surveys the relationship between development of inhibitors in the treatment of haemophilia patients and risk factors such as changing FVIII products. A total of 119 patients were included in this study, 198 changes of FVIII products were evaluated. Results: During the observation period of 12 months none of the patients developed an inhibitor, which was temporally associated with a change of FVIII products. A frequent change of FVIII products didn’t lead to an increase in inhibitor risk. The change between plasmatic and recombinant preparations could not be confirmed as a risk factor. Furthermore, no correlation between treatment regimens, severity, patient age and comorbidities of the patients could be found.

Risk Factors of Collateralized Loan Obligations and Corporate Bonds

2020 ◽  
Vol 32 (6) ◽  
pp. 347-355
Author(s):  
Mark Wahrenburg ◽  
Andreas Barth ◽  
Mohammad Izadi ◽  
Anas Rahhal
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Asset Pricing ◽  
Systemic Risk ◽  
Corporate Bonds ◽  
Risk Exposure ◽  
Expected Returns ◽  
Yield Spreads ◽  
Pricing Factors ◽  
Return Difference

AbstractStructured products like collateralized loan obligations (CLOs) tend to offer significantly higher yield spreads than corporate bonds (CBs) with the same rating. At the same time, empirical evidence does not indicate that this higher yield is reduced by higher default losses of CLOs. The evidence thus suggests that CLOs offer higher expected returns compared to CB with similar credit risk. This study aims to analyze whether this return difference is captured by asset pricing factors. We show that market risk is the predominant risk factor for both CBs and CLOs. CLO investors, however, additionally demand a premium for their risk exposure towards systemic risk. This premium is inversely related to the rating class of the CLO.

Cardiovascular Risk in Perimenopausal Women

2019 ◽  
Vol 17 (6) ◽  
pp. 591-594 ◽  
Author(s):  
John C. Stevenson ◽  
Sophia Tsiligiannis ◽  
Nick Panay
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Ovarian Function ◽  
Density Lipoprotein ◽  
Premenopausal Women ◽  
Therapeutic Interventions ◽  
Additional Risk Factor ◽  
Chd Risk ◽  
Perimenopausal Women ◽  
Chd Risk Factors

Cardiovascular disease, and particularly coronary heart disease (CHD), has a low incidence in premenopausal women. Loss of ovarian hormones during the perimenopause and menopause leads to a sharp increase in incidence. Although most CHD risk factors are common to both men and women, the menopause is a unique additional risk factor for women. Sex steroids have profound effects on many CHD risk factors. Their loss leads to adverse changes in lipids and lipoproteins, with increases being seen in low density lipoprotein (LDL) cholesterol and triglycerides, and decreases in high density lipoprotein (HDL) cholesterol. There is a reduction in insulin secretion and elimination, but increases in insulin resistance eventually result in increasing circulating insulin levels. There are changes in body fat distribution with accumulation in central and visceral fat which links to the other adverse metabolic changes. There is an increase in the incidence of hypertension and of type 2 diabetes mellitus, both major risk factors for CHD. Oestrogens have potent effects on blood vessels and their loss leads to dysfunction of the vascular endothelium. All of these changes result from loss of ovarian function contributing to the increased development of CHD. Risk factor assessment in perimenopausal women is recommended, thereby permitting the timely introduction of lifestyle, hormonal and therapeutic interventions to modify or reverse these adverse changes.

Surviving “Risk Factor Frenzy”: The Perils of Incorrectly Applying Epidemiological Research in Health Education and Promotion

2002 ◽  
Vol 21 (1) ◽  
pp. 83-100 ◽  
Author(s):  
Jonathan I. Robison ◽  
Gregory Kline
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Health Education ◽  
Health Professionals ◽  
Lifestyle Change ◽  
Negative Consequences ◽  
Epidemiological Research ◽  
Health Practitioners ◽  
Health Education And Promotion

In health education and promotion, “risk factors” for disease gathered from epidemiological research form the basis from which the majority of recommendations to individuals for lifestyle change are made. Unfortunately, many health practitioners are unaware that this type of research was never intended to be applied to individuals. The result is ongoing public confusion and anxiety concerning health recommendations and a loss of credibility for health professionals. This article: 1) briefly reviews the most commonly encountered limitations inherent in epidemiological research; 2) explores the problems and potential negative consequences of incorrectly applying epidemiological research in health education and promotion; and 3) makes recommendations to help health practitioners more skillfully interpret and incorporate into their work findings from epidemiological research.

Knowledge, awareness and perceptions of diabetes mellitus among the Saudi population

2020 ◽  
Vol 9 (6) ◽  
pp. 413-422
Author(s):  
Muhammad H Mujammami ◽  
Abdulaziz A Alodhayani ◽  
Mohammad Ibrahim AlJabri ◽  
Ahmad Alhumaidi Alanazi ◽  
Sultan Sayyaf Alanazi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Social Media ◽  
Risk Factor ◽  
Healthcare Workers ◽  
Health Workers ◽  
Saudi Population ◽  
Limited Data ◽  
High Prevalence ◽  
Associated Risk Factors

Background: High prevalence of undiagnosed cases of diabetes mellitus (DM) has increased over the last two decades, most patients with DM only become aware of their condition once they develop a complication. Limited data are available regarding the knowledge and awareness about DM and the associated risk factors, complications and management in Saudi society. Aim: This study aimed to assess knowledge of DM in general Saudi society and among Saudi healthcare workers. Results: Only 37.3% of the participants were aware of the current DM prevalence. Obesity was the most frequently identified risk factor for DM. Most comparisons indicated better awareness among health workers. Conclusion: A significant lack of knowledge about DM in Saudi society was identified. Social media and educational curriculum can improve knowledge and awareness of DM.

scholarly journals A-126 Clinical Utility of Risk Factors to Predict Self-reported Neurobehavioral Outcome Following Traumatic Brain Injury: PTSD, Sleep, Resilience, and Lifetime Blast Exposure

2020 ◽  
Vol 35 (6) ◽  
pp. 919-919
Author(s):  
Lange R ◽  
Lippa S ◽  
Hungerford L ◽  
Bailie J ◽  
French L ◽  
...  
Keyword(s):  
Risk Factors ◽  
Traumatic Brain Injury ◽  
Risk Factor ◽  
Brain Injury ◽  
Clinical Utility ◽  
Poor Sleep ◽  
Post Injury ◽  
Poor Outcome ◽  
Blast Exposure ◽  
Neurobehavioral Outcome

Abstract Objective To examine the clinical utility of PTSD, Sleep, Resilience, and Lifetime Blast Exposure as ‘Risk Factors’ for predicting poor neurobehavioral outcome following traumatic brain injury (TBI). Methods Participants were 993 service members/veterans evaluated following an uncomplicated mild TBI (MTBI), moderate–severe TBI (ModSevTBI), or injury without TBI (Injured Controls; IC); divided into three cohorts: (1) &lt; 12 months post-injury, n = 237 [107 MTBI, 71 ModSevTBI, 59 IC]; (2) 3-years post-injury, n = 370 [162 MTBI, 80 ModSevTBI, 128 IC]; and (3) 10-years post-injury, n = 386 [182 MTBI, 85 ModSevTBI, 119 IC]. Participants completed a 2-hour neurobehavioral test battery. Odds Ratios (OR) were calculated to determine whether the ‘Risk Factors’ could predict ‘Poor Outcome’ in each cohort separately. Sixteen Risk Factors were examined using all possible combinations of the four risk factor variables. Poor Outcome was defined as three or more low scores (&lt; 1SD) on five TBI-QOL scales (e.g., Fatigue, Depression). Results In all cohorts, the vast majority of risk factor combinations resulted in ORs that were ‘clinically meaningful’ (ORs &gt; 3.00; range = 3.15 to 32.63, all p’s &lt; .001). Risk factor combinations with the highest ORs in each cohort were PTSD (Cohort 1 & 2, ORs = 17.76 and 25.31), PTSD+Sleep (Cohort 1 & 2, ORs = 18.44 and 21.18), PTSD+Sleep+Resilience (Cohort 1, 2, & 3, ORs = 13.56, 14.04, and 20.08), Resilience (Cohort 3, OR = 32.63), and PTSD+Resilience (Cohort 3, OR = 24.74). Conclusions Singularly, or in combination, PTSD, Poor Sleep, and Low Resilience were strong predictors of poor outcome following TBI of all severities and injury without TBI. These variables may be valuable risk factors for targeted early interventions following injury.

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