Risk evaluation of a chemical production system regarding power quality implications

2016 ◽  
Author(s):  
M. Schael ◽  
C. Neumann ◽  
S. Richmann ◽  
A. Rogat ◽  
C. Sourkounis
Keyword(s):  
Power Quality ◽  
Production System ◽  
Risk Evaluation ◽  
Chemical Production

Study of modeling and simulation for a chemical production system

SIMULATION ◽  
1992 ◽  
Vol 58 (6) ◽  
pp. 366-374 ◽  
Author(s):  
Georges Habchi ◽  
Françoise Deloule
Keyword(s):  
Modeling And Simulation ◽  
Production System ◽  
Chemical Production

scholarly journals Quantitative Risk Evaluation Model of the Multilevel Complex Structure Hierarchical System in the Petrochemical Industry

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Yang Tang ◽  
Jiangjun Shu ◽  
Wang Li ◽  
Yin He ◽  
Yan Yang ◽  
...  
Keyword(s):  
High Risk ◽  
Production System ◽  
Risk Evaluation ◽  
Petrochemical Industry ◽  
Complex Structure ◽  
Evaluation Criteria ◽  
Hierarchical System ◽  
Risk Level ◽  
Petrochemical Production

In the petrochemical production system, the high-risk items malfunction may lead to major accidents so that the risk level of the items has become the highest focus of attention for the enterprises in petrochemical industry. Based on structural composition and risk relationship, a risk evaluation framework of the petrochemical production system can generally be divided into subsystems (SS), components and parts (CP), failure modes (FM), risk types, and risk factors. So it is a characteristic of multilevel, complex structure, and lack of evaluation criteria that the evaluated object has in the process of risk evaluation. However, there are few targeted modeling and calculation methods to carry out quantitative risk evaluation in the face of the evaluated object. In order to achieve risk quantitative evaluation of the complex structure hierarchical system, a multilevel Borda model (MLBM) is presented innovatively by us based on the traditional Borda method in this study. Moreover, the MLBM are applied to realize quantitative risk evaluation of the main structure system of truss type crane on the offshore platform. In this case study, the equivalent risk value (ERV) and risk priority number (RPN) of the evaluated object with multilevel, complex structure, and inadequate evaluation criteria are calculated and the risk ties in the RPN are effectively reduced. Then, the quantitative risk results can clarify the risk level and distribution of the high-risk items throughout the production system and provide data support for the development of risk control measures to better protect the production safety. Hence, the feasibility and practicability of the method are verified with the case study. The MLBM can be used to solve other comprehensive evaluation problems with a complex hierarchical structure as well.

A Systematic Dynamics Risk Evaluation Model of Coalmine Production System

2010 ◽  
Vol 40-41 ◽  
pp. 801-805
Author(s):  
Qian Jie Ma ◽  
Xiao Song Wang ◽  
Yuan Yuan Zhang
Keyword(s):  
Production System ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Dynamic Risk ◽  
First Time ◽  
Risk Evaluation Model

The paper analyses hierarchical causality relationships of the coalmining systems; based on the causality loop of mining job quantity and quality, the sources of the risks of the systems, setup for the first time a dynamic risk evaluation model of the mining systems. It depicts that the principal causes for the mishaps in the coalmine is to chase an extra coal output while the quality of mining jobs remain insufficient. After successful running of the model in Vensim software under different scenarios, dataset of the occurrences of calamities due to variances of the quality of mining jobs are obtained and used to evaluate the degree of risks and safety of the coalmining system.

scholarly journals Pest Evaluation in Sustainable Cabbage Production Systems

HortScience ◽  
1995 ◽  
Vol 30 (5) ◽  
pp. 1046-1048 ◽  
Author(s):  
G.D. Hoyt ◽  
J.F. Walgenbach
Keyword(s):  
Cover Crops ◽  
Production System ◽  
Production Systems ◽  
Conservation Tillage ◽  
Organic Production ◽  
Chemical Production ◽  
Tillage Systems ◽  
Weed Biomass ◽  
Lepidopterous Pest ◽  
And Control

Conservation tillage systems provide optimum conditions to reduce soil erosion and increase surface soil organic matter. This experiment was established with the long-term goal of developing conservation tillage systems that use either chemical inputs to produce vegetables and control pests, or legume cover crops, biological pesticides, and tillage to provide plant nutrition and control pests. The experiment consisted of cabbage (Brassica oleracea var. L. Capitata Group) grown by traditional-tillage (TT) or strip-tillage (ST) culture using either chemical or organic production methods for pest control. Cabbage heads were heavier with TT than with ST for the chemical production system. Although weed biomass was significantly higher with organic methods, there was a poor relationship between weed biomass at harvest and cabbage head weight. The lack of differences in lepidopterous pest damage suggests that the conservation tillage systems examined likely would not affect lepidopterous pest management systems using biological insecticides. Within tillage treatments, the organic production system resulted in less Alternaria infection than did the chemical production system. Since no fungicides were applied on any treatment, lower disease ratings in the organic production system may have been the result of reduced soil contact of the cabbage leaves from the increased soil coverage by the weed and intercropped legume canopy.

A Study of Evaluation Model of Human Errors at Risk for the Petroleum Operation

2013 ◽  
Vol 416-417 ◽  
pp. 1914-1919
Author(s):  
Bao Fa Liu ◽  
Shang Hai Liu
Keyword(s):  
At Risk ◽  
Production System ◽  
Value At Risk ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Evaluation Tools ◽  
Human Errors ◽  
Petroleum Production ◽  
Actual Risk

Because the petroleum production is larger investment, higher risk, and the traditional risk evaluation tools usually gave an evaluated value only, which being not in accord with the actual, the paper introduces the ideas of Value at Risk into the Human Errors (HEs) quantification for the petroleum operation, and develops the the model of Human Errors at Risk (HEaR) to quantify the HEs. The model can in detail depict the actual risk statuses of production system under different risk conditions.

scholarly journals Research on Reliability Modeling, Allocation and Prediction of Chemical Production System

2018 ◽  
Vol 220 ◽  
pp. 02006
Author(s):  
Yongchun Miao ◽  
Rongxue Kang ◽  
Xuefeng Chen
Keyword(s):  
System Reliability ◽  
Production System ◽  
Small Sample ◽  
Integrated System ◽  
Reliability Prediction ◽  
Chemical Production ◽  
Analytic Hierarchy ◽  
Reliability Modeling ◽  
Reliability Allocation ◽  
Ethylene Plant

Reliability allocation and prediction play an important role in the chemical production system, controlling the significance of each production allocation and predicting system reliability to analyze the designs in each system or integrated system if meeting requirements or not. This paper takes an ethylene plant as an example to study reliability modeling, allocation and prediction of related system. It is aimed to allocate and predict each production system or unit. In terms of system reliability allocation, it finds out the reliability allocation R in integrated system is 0.76460 with improved fuzzy analytic hierarchy process (AHP). Due to the number higher than initial reliability value of 0.73886, it illustrates the integrated reliability allocation meets the design requirements. In terms of reliability prediction, the result is more accurate when using Bayes fuzzy reliability prediction to calculate system reliability level and it can reflect this kind of indeterminate small sample data better.

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