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Process Risks

Consider a simple case in which a firm produces two products, each in a plant dedicated to that product. If one plant happens to be suffering from a lower-than-expected capacity, then the firm may be unable to meet demand for the associated [Pg.158]

For firms that produce many different products, it may be prohibitively expensive to coirfigure plants to be able to produce every product. While this total flexibility would offer the greatest protection against process risk, is this level of flexibility necessary for effective mitigation. This is one of the questions addressed in this chapter. [Pg.159]


The need for a pilot plant is a measure of the degree of uncertainty in developing a process from the research stage to a hiU commercial plant. A modification to a weU-known process may go directiy from basic research work to design of a commercial plant using this approach for a brand new process risks a significant failure. Hence, one or more intermediate size units are usually desirable to demonstrate process feasibiUty as well as to determine safe scale-up factors. [Pg.39]

The issue that must be managed is the appropriate threshold to communicate the change and initiate appropriate approval processes. Tolls subject to regulatory requirements may use the regulatory guidance as the threshold for management of change processes other tolls must establish the threshold appropriate to process risks, quality systems, and business concerns. [Pg.118]

George L. Head, The Risk Management Process, Risk and Insurance Management Society, Inc., New York, NY, 1978. [Pg.65]

Using Layer of Protection Analysis for Estimating Chemical Process Risk (Final Draft), American Institute of Chemical Engineers, New York, NY, 2000. [Pg.67]

E. N. Helmets and L. C. Schaller, Calculated Process Risks and Hazards Management, Plant/Operations Progress, 14, No. 4 (October), 229-31, 1995. [Pg.68]

Figure 2.7 Surface roughness to process risk chart, s ... Figure 2.7 Surface roughness to process risk chart, s ...
A link between the material used and the geometry of the component is compounded in the formulation for the tolerance to process risk as shown in equation 2.3. It is recognized that increasing material incompatibility and geometry complexity... [Pg.48]

Figure 2.9 Surface engineering process risk chart, /c ... Figure 2.9 Surface engineering process risk chart, /c ...
Figure 3.2 Equations describing levels of processing risk for turning/boring... Figure 3.2 Equations describing levels of processing risk for turning/boring...
For the solenoid dimensions, D, r and d, we can use Conformability Analysis (CA) to predict the standard deviations based on a shifted distribution, a, which provides the largest estimate (or worst case) anticipated during a production run. Given that the dimension Z) = 012 0.03 mm is turned, the material to process risk can be shown to be = 1.2, and the geometry to process risk, g = 1. An adjusted tolerance is then given by ... [Pg.206]

Surface roughness to process risk FMEA Severity Rating, strength Ultimate tensile strength Uniaxial yield strength Bilateral tolerance Unilateral tolerance Tolerance to process risk Variance Class width... [Pg.406]

The Role of Inherently Safer Design Concepts in Process Risk Management... [Pg.12]

Examf>les of Process Risk Management Strategies (CCPS, i993a)... [Pg.14]

Chemical reactions are sometimes conducted in a dilute solution to moderate reaction rates, to provide a heat sink for an exothermic reaction, or to limit maximum reaction temperature by tempering the reaction. In this example there are conflicting inherent safety goals—the solvent moderates the chemical reaction, but the dilute system will be significantly larger for a given production volume. Careful evaluation of all of the process risks is required to select the best overall system. [Pg.41]

The preparation of a matrix and the subsequent evaluation of the hazards identified can lead to a qualitative judgment of process risk and to the identification of available pathways to reduce that risk. Software is available to assist in making and maintaining interactionlike matrices. One example is a database shell called CHEMPAT (AIChE, 1995). When CHEMPAT is customized by the user, a compatibility chart is produced based on user-supplied chemical information. [Pg.62]

Latent cancer is calculated to be the primary risk from a nuclear accident (this may be due to the conservatism in the low-dose models). At Chernobyl, most of the deaths were from fire and impact. Chemical process risk depends on the chemicals being processed. Experience shows that processing poisons poses the highest risk to public and workers. [Pg.378]

Kenney, W. F., 1993, Process Risk Engineering, VCH Publishers, Florham Park, NJ. [Pg.483]


See other pages where Process Risks is mentioned: [Pg.2270]    [Pg.2273]    [Pg.2286]    [Pg.22]    [Pg.44]    [Pg.45]    [Pg.46]    [Pg.49]    [Pg.65]    [Pg.66]    [Pg.84]    [Pg.91]    [Pg.101]    [Pg.350]    [Pg.405]    [Pg.405]    [Pg.405]    [Pg.405]    [Pg.405]    [Pg.405]    [Pg.12]    [Pg.15]    [Pg.24]    [Pg.91]    [Pg.154]    [Pg.484]    [Pg.2]   


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Changes in Process Risk

Chemical Process Quantitative Risk Assessments (CPQRAs)

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Chemical process quantitative risk analysis steps

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Employees risk assessment process

Facilitated Risk Assessment Process

Fire risk assessment process

Fire risk assessment process measures

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Introduction to Risk Analysis of Fine Chemical Processes

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Logical process risk assessment

Management risk control processes

Overview - a risk management process

Overview of the Ecological Risk Assessment Process

Particular risk analysis modelling process

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Process deviations risk assessment

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Risk Evaluation Process for Accidents

Risk assessment administration processes

Risk assessment process

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Risk assessment process characterization

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Risk assessment process reviewing documents

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Risk assessment terms describing process

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