Method of Assessing the Integral Risk on the Example of the system «GL2Z Enterprise — Hazardous and Harmful Factors — Employees»

2021 ◽  
pp. 77-81
Author(s):  
Yu.V. Esipov ◽  
◽  
B.E. Boukhezna ◽  
M.S. Dzhilyadzhi ◽  
◽  
...  
Keyword(s):  
Natural Gas ◽  
Joint Effect ◽  
Adverse Outcomes ◽  
Unfavorable Outcome ◽  
Parametric Models ◽  
Risk Indicator ◽  
Effect Analysis ◽  
Probabilistic Measure ◽  
Cause And Effect Analysis ◽  
Parametric Description

The Algerian company Sonatrach is associated with the production of the liquefied natural gas, propane, butane, gasoline from the crude gas. The article solves the problem of assessing the integral risk at the GL2Z natural gas liquefaction plant with an analysis of the possible joint effect on the employees of production products complex as harmful and (or) hazardous factors in the form of chemical and thermal factors, provided that a fire or flash occurs considering the error of measuring gas components concentration. Integral risk is understood as probable (expected) damage from the occurrence of an incident or from the realization of an unfavorable outcome, provided that the full group of possible incidents (outcomes) in the system under consideration is considered. Modeling and cause-and-effect analysis of the occurrence of an incident and (or) adverse outcomes in the system is described using factor parametric models of the type «load-bearing capacity», «effect — susceptibility». In this case, most often the realization of an unfavorable outcome is evaluated by the condition of exceeding the parameter or the magnitude of the effect over the susceptibility parameter. Using the example of the system under consideration, a Boolean function of the integral risk indicator is constructed, and a demonstration of the calculation of its probabilistic form is performed. In addition, it is proposed to calculate a probabilistic measure from a unified position of logical and parametric description of both the set of possible incidents and their components in the form of unfavorable outcomes. To test the proposed method for assessing the integral risk, the initial data were used, with which, provided that the probability of an outbreak of all five components of the crude gas is equal, it was obtained that in a particular analyzed system, the calculated value of the upper limit of the probability of an incident occurrence was 0.9675.

How to Improve Remanufacturing?—A Systematic Analysis of Practices and Theories

2018 ◽  
Vol 141 (2) ◽  
Author(s):  
Tomohiko Sakao ◽  
Erik Sundin
Keyword(s):  
Customer Value ◽  
Success Factors ◽  
Theory And Practice ◽  
Systematic Analysis ◽  
Effect Analysis ◽  
Product Service ◽  
Fishbone Diagram ◽  
Cause And Effect Analysis ◽  
The Right ◽  
A Company

Remanufacturing has gained attention from industry, but the literature lacks the scientific comprehension to realize efficient remanufacturing. This hinders a company from commencing or improving remanufacturing efficiently. To fill this gap, the paper proposes a set of practical success factors for remanufacturing. To do so, it analyzes remanufacturing practices in industry through interviews with staff from remanufacturing companies with long experience. The practical success factors are found to be (1) addressing product and component value, (2) having a customer-oriented operation, (3) having an efficient core acquisition, (4) obtaining the correct information, and (5) having the right staff competence. Next, the paper further analyzes remanufacturing processes theoretically with both cause and effect analysis and means-ends analysis. Since the factors show that, among other things, the product/service system (PSS) is highly relevant to remanufacturing in multiple ways, theories on the PSS are partly utilized. As a result, the distinctive nature of remanufacturing underlying in the processes is found to have high variability, high uncertainty and, thus, also complexity. The obtained insights from practice and theory are found to support each other. In addition, a fishbone diagram for remanufacturing is proposed based on the analysis, including seven m's, adding two new m's (marketing and maintenance) on top of the traditional five m's (measurement, material, human, method, and machine) in order to improve customer value. The major contribution of the paper lies in its insights, which are grounded in both theory and practice.

scholarly journals ANALISIS RISIKO KECELAKAAN KERJA DENGAN METODE FAILURE MODE AND EFFECT ANALYSIS (FMEA) DAN FAULT TREE ANALYSIS (FTA) UNTUK MENURUNKAN TINGKAT RISIKO KECELAKAAN KERJA (PT. BERKAH MIRZA INSANI)

2020 ◽  
Vol 2 (1) ◽  
pp. 48
Author(s):  
Sofian Bastuti
Keyword(s):  
Natural Gas ◽  
Failure Mode ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Pressure Regulator ◽  
Compressed Natural Gas ◽  
Effect Analysis ◽  
Tree Analysis

PT. Berkah Mirza Insani yang bergerak dibidang pengolahan gas alam menjadi Compressed Natural Gas (CNG) dalam setiap pekerjaan nya selalu mengutamakan Keselamatan dan Kesehatan Kerja (K3) . Penelitian ini mengaplikasikan metode Failure Mode and Effect Analysis (FMEA) didapat RPN tertinggi atau di divisi produksi yang mencakup 8 pekerjaan adalah pada Proses dan langkah pensupplyan CNG ke costumer (operasional PRS) dengan nilai severity 5, occurence 3, detection 4 dan RPN 60. Sedangkan Fault Tree Analysis (FTA) didapat faktor penyebab tingkat risiko tertinggi yaitu Proses dan langkah pensupplyan CNG ke costumer (operasional PRS) saat unloading dan operasional CNG dengan potensi bahaya ledakan Pressure Regulator System (PRS).

A Nomogram to Predict the Probability of Relapse during Hospitalization after Minor Ischemic Stroke in Chinese Patients.

2020 ◽  
Author(s):  
Yu xianfeng ◽  
Yin wenwen ◽  
Huang chaojuan ◽  
Yuan xin ◽  
Xia yu ◽  
...  
Keyword(s):  
Heart Disease ◽  
Ischemic Stroke ◽  
Total Bilirubin ◽  
Individual Characteristics ◽  
Adverse Outcomes ◽  
Unfavorable Outcome ◽  
Chinese Patients ◽  
Serum Total Bilirubin ◽  
Risk Of Recurrence ◽  
Minor Ischemic Stroke

Abstract Background: Predicting the risk of recurrence during hospitalization in patients with minor ischemic stroke (MIS) is of great significance for clinical and treatment. Compared with early models and prognostic scores, nomogram is a better visualization tool for predicting clinical outcomes. It combines different factors to develop a graphical continuous scoring system, and accurately calculates the risk probability of adverse outcomes based on individual characteristics. Our goal is to develop and validate a nomogram for individualized prediction of hospitalization recurrence in patients with mild ischemic stroke in the Chinese population.Methods: Based on retrospective collection, a single center study was conducted in the first affiliated Hospital of Anhui Medical University from January 2014 to December 2019. The subjects were stroke patients with NIHSS≤5.In order to generate the nomogram, age, systolic blood pressure,previous heart disease, serum total bilirubin, ferritin and smoking were integrated into the model. The predictive accuracy of the nomogram model to predict the probability of unfavorable outcome was assessed by calculation of the area under the receiver operating characteristic curve (AUC–ROC). Calibration of the risk prediction model was assessed by the plot comparing the observed probability of unfavorable outcome against the predicted, and by using the Hosmer–Lemeshow test.Results: Age at admission (OR,0.946; 95% CI,-0.002 to 0.048), SBP (OR,0.012,95%CI,0.000 to 0.024), previous heart disease (OR,0.867,95%CI, 0.084 to 1.651), UA (OR,-0.003,95%CI,-0.006 to 0.001), serum total bilirubin (OR,-0.022,95%CI,-0.036 to -0.008), ferritin (OR,0.004,95%CI, 0.002 to 0.005), smoking (OR,0.494,95%CI,-0.115 to 1.103) are significant predictors of in-hospital recurrence in Chinese patients with minor ischemic stroke.The model shows good discrimination, the AUC-ROC value is 0.737 (95%CI:0.676-0.798), and has perfect calibration performance. Calibration was good (p=0.1457 for the Hosmer-Lemesshow test), which could predict the risk of recurrence of MIS patients during hospitalization.Conclusion: The nomogram developed and validated in this study can provide individualized, intuitive and accurate prediction of recurrence in Chinese patients with minor ischemic stroke during hospitalization.

scholarly journals Cause-and-Effect Analysis as a Tool To Improve the Reproducibility of Nanobioassays: Four Case Studies

2019 ◽  
Vol 33 (5) ◽  
pp. 1039-1054 ◽  
Author(s):  
Elijah J. Petersen ◽  
Cordula Hirsch ◽  
John T. Elliott ◽  
Harald F. Krug ◽  
Leonie Aengenheister ◽  
...  
Keyword(s):  
Case Studies ◽  
Effect Analysis ◽  
Cause And Effect ◽  
Cause And Effect Analysis

Open Plan Office Design Features Affecting Staff’s Health and Well-being Status

2014 ◽  
Vol 70 (7) ◽  
Author(s):  
Arezou Shafaghat ◽  
Ali Keyvanfar ◽  
Hasanuddin Lamit ◽  
Seyed Ali Mousavi ◽  
Mohd Zaimi Abd Majid
Keyword(s):  
Psychological Health ◽  
Indoor Environment ◽  
Well Being ◽  
Environment Design ◽  
Effect Analysis ◽  
Office Design ◽  
Open Plan ◽  
Cause And Effect Analysis ◽  
Physical And Psychological Health ◽  
Health And Well Being

Sustainable office building indoor environment design is a challengeable issue for professionals in thermal comfort, satisfaction, health, and energy fields of research. The professionals intensively need a comprehensive list of office indoor environment design features to promote the level of performance and productivity of staff. One of the most effective factors dealing with staff performance and productivity is physical and psychological health which has not yet been investigated in depth is open-plan office design. In this regard, the current research aimed at establishing a comprehensive list of Open Plan Offices Design (OPOD) features affecting physical and psychological health and well-being of the staff at office buildings. Research methodology engaged two phases corresponding to two objectives. Phase one was to investigate OPOD features and sub-features through a critical literature review using fishbone cause-and-effect analysis technique. Phase one has clustered the OPOD features into two; positive and negative classes. The cause-and-effect analysis determined 3 positive features and 5 negative features involved in the positive and negative classes, respectively. The Efficient Workflow and Performance, Flexible Design, and Cost Efficient were identified as positive OPOD features which involves a number of sub-features. The Distraction, Decreasing Work Feedback, Job Dissatisfaction, Illness, and stress have been determined as OPOD features which impact negatively on staff’s health. The second phase conducted a content analysis on reviewed literatures to indicate the popularity of citation of each OPOD feature in previous studies. The content analysis determined in the Positive cluster, the sub-feature “Facilitate Communication”, under Efficient Workflow & Performance was investigated more than other sub-features. In addition, in the Negative cluster, the sub-feature Auditory Distraction under Distraction was highly investigated. The research asserts that undertaking the research outputs will promote performance and productivity of staff in office buildings. Architects, facility managers, design consultants, and authority may use the output as a decision support checklist for future office design and/or renovations.

scholarly journals An Integrated Decision-Making Approach for Cause-And-Effect Analysis of Sustainable Manufacturing Indicators

2020 ◽  
Vol 12 (4) ◽  
pp. 1517
Author(s):  
Neeraj Bhanot ◽  
Fahham Hasan Qaiser ◽  
Mohammed Alkahtani ◽  
Ateekh Ur Rehman
Keyword(s):  
Decision Making ◽  
Structural Equation ◽  
Quantitative Methods ◽  
Manufacturing Sector ◽  
Sustainable Manufacturing ◽  
Manufacturing Companies ◽  
Effect Analysis ◽  
Final Cause ◽  
Cause And Effect ◽  
Cause And Effect Analysis

Sustainability is a growing concern for manufacturing companies, as they are major contributors to pollution and consume a substantial portion of the world´s natural resources. Sustainable manufacturing can reduce waste, conserve energy and increase resource efficiency. However, one of the main challenges facing manufacturing organisations to put sustainability into practice is the lack of understanding of the cause-and-effect relationships between critical indicators of sustainable manufacturing. To overcome this challenge, a novel, rigorous and integrated framework, composed of four quantitative methods, is proposed to analyse critical indicators of sustainable manufacturing. The analysis is based on responses from both academic and industry experts. These four methods including DEMATEL (decision-making trial and evaluation laboratory), the MMDE (maximum mean de-entropy) algorithm, ISM (interpretive structural modelling) and SEM (structural equation modelling) are uniquely integrated to present statistically validated relationships between critical indicators using information on varying degrees of relationship between them. The final cause-and-effect models for the respondent groups (i.e., researchers and industry experts) are further validated through gathering the viewpoints of a researcher and an industry practitioner for its robustness. The novelty of our research lies in: (1) proposing a novel and integrated rigorous quantitative framework combined with qualitative research method; (2) applying the proposed framework to analyse contextual relationships between critical indicators of implementing sustainability, in the manufacturing sector as a whole, which to the best of authors’ knowledge is the first of its kind; and (3) comparing and contrasting results of researchers and industry practitioners’ groups along with a check of their validation and robustness.

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