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Model numbers capitalization

Mixtures, punctuation, 63, 66, 161 Model numbers, capitalization, 86 Modifiers... [Pg.228]

A number of models have been developed to enable managers to handle inventories in the most profitable manner. These models can be applied to other elements of working capital, such as cash. [Pg.849]

For Marx, the task of establishing how a capitalist economy can reproduce itself is not limited to a particular period of production. The reproduction examples that he carves out in the final part of Capital, volume 2, show how balanced reproduction can take place over an extended number of years. Despite the limitations he faced, with a lack of formal modelling tools, computing power and waning personal health - the reproduction schemes were one of his last contributions to political economy - Marx was able to devise complex numerical examples, in which somehow a 10 per cent rate of growth is sustained in each period of production. It is not for nothing that he has been described as the father of modem growth theory. [Pg.50]

Although it is traditional in Marxian frameworks for capitalists to initiate the circulation of money with an advance of constant and variable capital, our previous discussion, in Chapter 4, showed that there are a number of ways in which the circulation of money can be modelled. In the single swap approach all of income is advanced in the Franco-Italian circuit approach only the wage bill is advanced in Nell s mutual exchange approach only wages in the capital goods sector are advanced. Our contribution has been to suggest, under the Kalecki principle (first introduced in Chapter 3), that capitalists advance an amount of money sufficient to realize their profits. This model is predicated on the definition of investment as accumulation of constant and variable capital. [Pg.97]

The integration of capital expenditures for the shared resources as shown in equation (3.11a) rests on the assumption that the number of equipments is correlated to the number of production lines. If the model can independently select the shared resource capacity, it is theoretically possible that the number of shared resources operated increases while the number of production lines used decreases. In this case a separate calculation of the investment expenditures for shared resources is required to avoid that "negative" capital expenditures from capacity reductions that are eliminated via the non-negativity constraint (3.54) offset the expenditures for shared resource installations. [Pg.115]

Figure 5 represents a typical example of the variation of the number of polymer particles with mean residence time 0. The solid line shows the theoretical value predicted by the Nomura and Harada model with e= 1.28x 10 . The dotted line is that predicted by the Gershberg model(or the Nomura and Harada model with Case C for ), where Eq. (23) was used instead of Eq.(16) for Ap. The value of Nt produced at longer mean residence time differs, therefore, by a factor of T(5/3) between the solid and dotted lines in Figure 5. From the comparison between the experimental and theoretical results shown in Figure 5, it is confirmed that the steady state particle number can be maximized by operating the first stage reactor at a certain low value of mean residence time max which is considerably lower than that in the succeeding reactors. This is so-called "pre-reactor principle". It is, therefore, desirable to operate the first reactor at such mean residence time as producing something like a maximum number of polymer particles in order to increase the rate of polymerization in the succeeding reactors. This will result in a decrease in the number of necessary reactors and hence, in the capital cost. Figure 5 represents a typical example of the variation of the number of polymer particles with mean residence time 0. The solid line shows the theoretical value predicted by the Nomura and Harada model with e= 1.28x 10 . The dotted line is that predicted by the Gershberg model(or the Nomura and Harada model with Case C for ), where Eq. (23) was used instead of Eq.(16) for Ap. The value of Nt produced at longer mean residence time differs, therefore, by a factor of T(5/3) between the solid and dotted lines in Figure 5. From the comparison between the experimental and theoretical results shown in Figure 5, it is confirmed that the steady state particle number can be maximized by operating the first stage reactor at a certain low value of mean residence time max which is considerably lower than that in the succeeding reactors. This is so-called "pre-reactor principle". It is, therefore, desirable to operate the first reactor at such mean residence time as producing something like a maximum number of polymer particles in order to increase the rate of polymerization in the succeeding reactors. This will result in a decrease in the number of necessary reactors and hence, in the capital cost.
Ernst et al.5 indicate that the Super Pro Designer contains models to help estimate the direct fixed capital cost based on 1995 dollars. These numbers may be suitably updated using the current CPI or other suitable index. Maintenance cost were set at 25% of the purchase cost of the equipment per year. Laboratory costs were allocated to capital costs. Labor costs were carefully calculated based on number of operator hours per equipment hour. This was done after analyzing scheduling of the entire process as well as noting that the operator time on each equipment was reasonable. [Pg.679]

Do not capitalize the word model with a number or code. [Pg.147]

It is possible, indeed desirable in some cases, to use combined heat transfer modes, e.g., convection and conduction, convection and radiation, convection and dielectric fields, etc., to reduce the need for increased gas flow that results in lower thermal efficiencies. Use of such combinations increases the capital costs, but these may be offset by reduced energy costs and enhanced product quality. No generalization can be made a priori without tests and economic evaluation. Finally, the heat input may be steady (continuous) or time-varying also, different heat transfer modes may be deployed simultaneously or consecutively depending on the individual application. In view of the significant increase in the number of design and operational parameters resulting from such complex operations, it is desirable to select the optimal conditions via a mathematical model. [Pg.1686]


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See also in sourсe #XX -- [ Pg.147 ]




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