Process analysis influencing factors

Performance-influencing factors analysis is an important part of the human reliability aspects of risk assessment. It can be applied in two areas. The first of these is the qualitative prediction of possible errors that could have a major impact on plant or personnel safety. The second is the evaluation of the operational conditions under which tasks are performed. These conditions will have a major impact in determining the probability that a particular error will be committed, and hence need to be systematically assessed as part of the quantification process. This application of PIFs will be described in Chapters 4 and 5. 

The most asked question when a process hazard analysis is proposed is "How long will it take " and "What will it cost " A review of the influencing factors on both of these concerns has been made and method to determine their impact has been formulated. 

The method of the effects of the unification of factors considers that, for a fixed plan of experiments, we can produce different groups where each contains experiments presenting the same systematic influence [5.8, 5.13, 5.23, 5.35, 5.36]. To introduce this method, we can consider the case of a process with three factors analyzed with a CFE 2 plan of experiments. In our example, we will take into account the systematic influence of a new factor D. To begin this analysis, we will use the initial plan with eight experiments with the condition to separate these experiments into two blocks or groups ... 

Characterisation of exposure. This process intends to estimate how much of a harmful chemical substance is for how long in contact with a specified organism. Exposure characterisation is usually a complex process that should consider physico-chemical properties of pollutants and the site (e.g. to estimate influencing factors such as the availability of contaminants), as well as naturally occurring pollutant degradation. For contaminated soils, exposure is usually estimated with measurement of toxicant concentrations by chemical analysis... 

As was brought out in this chapter, supercritical fluid extraction has been promoted perhaps somewhat over-zealously in the past, especially in its potential application to energy reduction. Although it can do many types of separations in energy related applications and elsewhere, it probably will not be economicaly viable in all cases. Many factors, not just technical feasibility, combine to influence the potential applicability of any process, and all factors must be evaluated supercritical fluid extraction cannot be excepted from such careful analysis. 

State that we cannot know all factors and processes that influence the values we observe for a certain wetland biogeochemical property. Simple statistical methods as a continuous response (regression analysis) or as a set of responses to discrete factors (analysis of variance, ANOVA) have been used extensively in wetland research, in order to relate elements in biogeochemical processes or determine the extent to which a particular factor may influence a process. 

ABSTRACT At present, researches on the relationship between coal mine safety input and safety performance focus on the static description. Results of the assessment on these studies lack in follow-up and dynamic management. In this paper, based on the analysis of factors that have impacts on coal mine safety performance in the process of coal production, one model about the relationship between coal mine safety input and safety performance is established using a system dynamics approach. In the process of computer simulation, coal mine safety performance is dynamically forecast by changing the initial safety level value and safety input increase rate of factors which affect system safety performance. The results show that the safety level of coal mine enterprises in the early period influences the coal mine expectant safety performance. The safety level of human factors and management factors in the coal mine enterprises is a positive correlation of coal mine safety performance. These provide a theoretical basis for management decision-making. 

Ruhao Chen, Eieming Wang, Kai Cao. Influence factor correlation analysis of coal during Low oxygen combustion process. Mineral Engineeering Reseach, 2012 27(1) 34-37. 

Kim X W. Jung W 2003, A taxonomy of performance influencing factors forhuman reliability analysis of emergency tasks. Journal of Loss Prevention in the Process Industries 16(6) 479 95. 

The beginning of PAT was driven by problem-solving reasons to understand the composition of the material of interest in the process. The measurements were often part of a trouble-shooting effort that was trying to optimize reaction conditions and to understand process factors that influenced the success of the desired reaction. Initially, process analysis was carried out by taking samples from the process in the production plant and transporting them to the analytical laboratories. As a way to optimize time, many analytical laboratory measurements were eventually moved to the production plants (Figure 5.1). 

Indicator variables can easily be added to a calibration if one has reason to question the influence of one or more controllable factors on the accuracy or precision of an analysis. A factor can be designated absent or present with assigned values of 0 or 1, or additional indicator variables can be used to designate more than two possibilities. The evaluation of the statistics produced by incorporating indicator variables provides quantitative evidence of the effect that one or more factors may have on a given analytical procedure or process. Thus, this can be a route to... 

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