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Productivity, parameter

There are various uncertainties in all the data influencing the selection of a set of equipment uncertainties in recipe parameters, product specifications, processing times and size factors, equipment availability, product requirements, and resource availability. Data needed for the evaluation of processing times and equipment sizes are never 100% reliable. The market situation when the plant is started up will certainly be different from the situation at the time of the definition of a production program for the plant. Unpredictable process disturbances may also occur. [Pg.474]

Parameter Production Settings Media Fill Settings... [Pg.518]

Validation protocols may include test parameters, product characteristics, production equipment specifications and settings, and decision points on what constitutes acceptable test results. Three types of validation protocols should be available during the PAI cleaning, manufacturing process, and analytical methods. Any data associated with a completed protocol should also be made available. Also, if there had been any retrospective validation, these data should also be available. [Pg.48]

The model, as simple as can be made, illustrates how bacterial productivity and enzyme activity can be modulated by rates of DOC input from varied sources through competitive selection. As the relative abundance of the two guilds changes in response to DOM inputs, biotic parameters (productivity, growth efficiency, and ectoenzyme kinetics) vary widely, while RDOC and LDOC concentrations remain comparatively static. This outcome is consistent with field observations from freshwater systems,... [Pg.442]

Qualification protocol A prospective experimental plan stating how qualification will be conducted, (including test parameters, product characteristics, production equipment, etc.) and decision points on what constitutes an acceptable test. When executed, a protocol is expected to produce documented evidence that a system or subsystem performs as required. [Pg.182]

According to eqn.(3.29) retention (fc) varies exponentially with the polarity of the solute ( ). It can easily be seen from eqn.(3.29) that as soon as the solubility parameter product (Sm + Ss — 2Si)(Sm — Ss) becomes significantly positive or negative, the capacity factor will either be impractically high or uselessly low. Hence, to a first approximation reasonable values for k will be obtained when the above product is about equal to zero. This can be achieved in two ways ... [Pg.48]

CAimHPFf ] [CgQimHPFe] and others K2[0s02(0H)4] NMO K3[Fe(CN)6] k2co3 Enantioselective dihydroxylation of olefins with H20 and t-BuOH as co-solvents detailed study on reaction parameters product extracted with Et20 activity and selectivity stable for 9 runs, then considerable decrease osmium contamination in the product < 7 ppb. [64] [65]... [Pg.103]

In most commercial freeze drying processes, chamber pressure, shelf temperature, and time are the only controllable process parameters. Product temperature is not directly controlled. It is the balance between heat and mass transfer that determines the product temperature. Obviously, shelf temperature is important in determining the heat transfer and product temperature. However, because much of the heat is transferred through the gas phase (i.e., collisions of gas molecules with the hot shelf surface and the cold vial bottom), heat transfer as well as mass transfer Eq. (1) is determined, in part, by the chamber pressure. Therefore, product temperature is determined by shelf temperature, chamber pressure, the heat transfer characteristics of the vials, and the mass transfer characteristics of the product and semistoppered vials. [Pg.1813]

Evaluate critical process parameters product and process are scaled to another order of magnitude... [Pg.3935]

A process validation protocol should be complied for each manufacturer if the manufacturing procedure is not identical (including the equipment) and should specify tests, test parameters, product specifications and production equipment. At least the first two production batches of each manufacturer must be validated and follow-up stability data submitted as they become available. Each step of the manufacturing process must be controlled to maximise the probability that the finished product consistently meets all quality and design specifications. The procedure for coating the tablets, the ingredients, equipment and controls should be included. [Pg.661]

Catalyst optimization, application scope, reaction parameters, case studies Microorganism screening, recombinant biocatalyst, reaction parameters, product isolation... [Pg.8]

It has been shown for ZK 216348 that it does not affect osteoblastic cells negatively in vitro, compared with steroidal GR ligands [67]. The picture is similar to AL-438 regarding the measured parameters production of OPG and stimulation of RANKL gene expression. [Pg.315]

When evaluating the best agglomeration method for a new application, references in the literature or in industry should be researched first. Even if a seemingly suitable reference plant is operating successfully elsewhere, the new application should be freshly evaluated because small variations in, for example, feed characteristics, may require a different approach. At the very least, operating parameters, productivity, and product quality must be newly determined. [Pg.929]

The results of this procedure will give minimum and maximum absorbed doses in the product and on the container surface for a given set of plant parameters, product density and loading pattern. [Pg.162]

Chlorophyll concentration offers a static biomass parameter productivity expresses a photosynthetic rate. The fact that ranges of chlorophyll concentrations occurring in the seas and oceans vary more than a thousand-fold and those of primary production less than fifty-fold (both per volume) illustrates according to De Vooys (1979) that the determination of primary production of phytoplankton by means of chlorophyll concentrations is not to be recommended. [Pg.35]

The design of a distillation column involves many parameters product compositions, product flow rates, operating pressure, total number of trays, feed-tray location, reflux ratio, reboiler heat input, condenser heat removal, column diameter, and column height. Not all of these variables are independent, so a degrees of freedom analysis is useful in pinning down exactly how many independent variables can (and must) be specified to completely define the system. [Pg.29]

The aim of the flash pyrolysis of coal is the production of smaller molecules from it in a shortest possible particle residence time. Therefore, the objective of studying the process chemistry of coal pyrolysis is to investigate the experimental parameters that permit this aim to be achieved and to establish the optimum conditions that produce a favorable product slate. The basic process parameters that influence the prodnct yields dnring flash pyrolysis of coal are (1) reaction temperature, (2) gas pressure, and (3) residence times of coal particles and ensuing tar vapors. In addition to these major process parameters, product yields can be influenced by other factors such as the nature of the pyrolysis gas and its partial pressure and the gas-to-coal ratio. [Pg.398]

We varied the calibration factors to satisfy the initial conditions. For instance, in examining the impact of the maximum level of risk aversion we varied the safety production function coefficients, the output efficiency parameter, product demand price elasticity, and the level of fixed costs so that the average injury rate was 0.001, the maximum level of risk was 0.003, the wage rate for completely safe jobs was 10,000, the price of output was 1, the proportion of completely safe workplaces was 0.40, and the value of for the least profitable firm in the market was 0.1. [Pg.108]

Quality by design Product validation Critical quality attributes Process parameters Product life cycle Target product quality profile Formulation... [Pg.348]

An understanding of the distinction between what we normally think of as the relationship between inputs and outputs to processes in the physical domain and the relationship between functional parameters and dependencies in the functional domain further requires us to realise that in the functional domain this may also be determined by the context in which the functional element finds itself in particular, how it is included in a system of functional elements. As an example, consider a function (e.g. a chemical process) that converts a raw material into a product with the help of thermal energy (heat). As a stand-alone function, the functional parameter production rate may be determined by the demand for the product, and as such is an input, whereas the energy consumption, a dependency, is an output. But if this functional element is used in a system with the electricity producing element, with the interaction being that the waste heat from the... [Pg.226]


See other pages where Productivity, parameter is mentioned: [Pg.560]    [Pg.28]    [Pg.115]    [Pg.526]    [Pg.257]    [Pg.280]    [Pg.351]    [Pg.167]    [Pg.173]    [Pg.745]    [Pg.136]    [Pg.183]    [Pg.602]    [Pg.15]    [Pg.325]    [Pg.13]    [Pg.469]    [Pg.358]    [Pg.458]    [Pg.149]    [Pg.167]   
See also in sourсe #XX -- [ Pg.83 , Pg.84 ]




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