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Global operation time

For parallel and serial coupling of two fundamental phenomena of characteristic times ti and (2, the global operation time top can be expressed as follows ... [Pg.1034]

These expressions can be physically explained for both examples. In the case of a parallel coupling, the global operation time is dominated by the smallest fundamental time, i.e. the fastest phenomena. For the parallel reactions, the conversion of reactant A evolves as fast as the fastest reaction. In this case, the fastest phenomenon dominates. In contrast, for serial phenomena, the slowest phenomenon dominates the conversion rate of reactant D submitted to mass transfer and heterogeneous reaction proceeds at the rate of the slowest phenomenon, leading to a possible diffusion regime or chemical regime. [Pg.1034]

First, the value of the global operation time can be identified from experimental or simulation data this is made possible by fitting the efficiency as a function of the reference time using expressions such as Equations (2.2) or (2.3) or appropriate expressions corresponding to the apparent system order. For example, for first-order systems, the operation time is the time required to reach 63% efficiency. Then, using appropriate literature results or correlations enables to estimate the fundamental times involved in the studied system, using expressions presented in Table 2.1. [Pg.1034]

This expression of the global operation time could have been predicted since the homogeneous reaction acts in parallel with the serial combination of mass transfer and heterogeneous reaction. [Pg.1038]

At large scales (domain 1), the homogeneous reaction is the fastest phenomenon and therefore dominates the hierarchy. This reaction imposes the conversion and the global operation time is equal to the homogeneous reaction time. [Pg.1038]

At lower scales (domain 3), the mass transfer runs faster than the homogeneous reaction but remains slower than the heterogeneous reaction. The conversion should be imposed by the heterogeneous reaction, but the reactant consumption still remains limited by the mass transfer from the bulk fluid to the catalytic wall. The global operation time is then equal to the mass-transfer time. [Pg.1038]

Finally, at small scales (domain 4), the mass transfer has become faster than both reactions. The heterogeneous reaction dominates and the global operation time is equal to the heterogeneous reaction time. [Pg.1038]

Figure 2.4 Evolution of the homogeneous reaction time thom, heterogeneous reaction time thet, mass-transfer time tmass and global operation time top with respect to the normalized geometric scale of the reactor. The thick line corresponds to coupling Equation (2.9). Figure 2.4 Evolution of the homogeneous reaction time thom, heterogeneous reaction time thet, mass-transfer time tmass and global operation time top with respect to the normalized geometric scale of the reactor. The thick line corresponds to coupling Equation (2.9).
At Clariant, for instance, we focus on increasing time yield and efficiency per employee by systematically analyzing throughput time variances and optimizing production processes continuously. Here, a globally operating rapid process development unit comprised of experienced senior technologists is key for success. [Pg.248]

Usually, when working in second quantization, the developments consider the creator/annihilator operators of each single electron explicitly. However, one may define the global operators (GO), which create/annihilate more than one electron at a time. After one becomes familiar with their algebra, the use of the GO s enhances the directness of the deductions and renders the results more compact and thus easier to analyse, unless one wishes to stress an one-electron property. These GO s, which will be used in the following section, are defined as ... [Pg.189]

Secondly, globalized production cannot work unless aU elements of the company s global operations fit together without error. Thus, new production systems based on pervasive computer-mediated design and manufacturing can assemble parts from up and down the supply chain without first-time errors of fit. Modern civil and military aircraft production give prime examples of this freedom from physical error. In a customer-oriented system, any over-cost or delayed delivery is an error with the same effects on company performance as a defective product. The implication for test and inspection is that we must be able to measure these customer needs and convert them into measurable precursors of error states. [Pg.1889]

At best, the model is an abstraction of real-world situations. Consequently, it cannot capture reality without running it more than one time (Dyer and Mulvey 1983 Min 1989). Thus, the model should enable Beta s management team to evaluate what-if scenarios associated with shifts in Beta s management philosophy (e.g., a shift from cost minimization to quick-response services) and competitive positions (e.g., a shift from domestic to global operations). In other words, the model s successful implementation depends on its flexibility for contingency planning. To enhance the model flexibility, the results of model rans should be reported in user-friendly formats. These formats include... [Pg.2080]

After re-indexing, broadcast operations and global operations such as sire still present in the description of figure 4. Localization techniques are needed to localize these operations to arrive at a uniform description with only local and constant dependencies, as required by the space-time mapping. We will... [Pg.125]

Vepsalainen, A., and T. Morton. 1988. Improving Local Priority Rules with Global Lead Time Estimates Journal of Manufacturing and Operations Management 1, 102-118. [Pg.333]

A transfer normally occurs between localized variables as space and time necessarily play a significant role. However, the characterization of transfers is generally made in terms of state variables and operators at the global level of a system. Hence the importance of relating global operators to spatially reduced ones. [Pg.491]

Risk monitoring Real-time monitoring of suppliers performance is done so as to alert for any potential problems. An example of this is the Risk Monitoring System developed by Johnson and Johnson to monitor critical suppliers. Another example is the Global Operations Emergency Control Center at FedEx. We will discuss these in detail in Section 7.7. [Pg.374]

Real-time monitoring of the movement of hundreds of planes and thousands of trucks at the Global Operations Emergency Center in Memphis, Tennessee. When problems develop, contingency plans are activated immediately. [Pg.378]

As companies turn to global suppliers, they must be aware of both the opportunities and the threats present. Understanding world markets can be extremely difficult since each country is unique and complex. Therefore, global operations increase uncertainty and reduce control capabilities. Problems might arise from the number of intermediaries, customs requirements as well as trade restrictions. In addition, uncertainty could result from greater distances, longer lead times, and less knowledge of the market conditions. [Pg.459]

Judgments for arriving at an acceptable risk level are influenced by many factors, and the results vary considerably across industries. Even within a company, acceptable risk levels can vary substantially by location. A country s culture also plays an important role in risk acceptability, as has been experienced by our colleagues who work in companies with global operations. Risk acceptability is also time-dependent, in that what is acceptable today may not be acceptable tomorrow, next year, or the following decade. [Pg.101]

In this part of the study, optimisation of the production is carried out according to a global approach. The reaction step and the successive distillation step are considered simultaneously in the evaluation of the optimal operating conditions. In order to compare these results with the classical approach ones an operating time criterion has been chosen. Thus, the optimisation problem lies in the minimisation of the operating time required for the propylene glycol synthesis. According to the previous optimisations, two kinds of production have been studied a production with yield and purity constraints and a production with an additional by-products constraint. In order to compare the different approaches, the same constraints have been adopted. [Pg.644]

Table 3.4 Predicted quick response sprinkler link operation time and corresponding fire growth characteristics (courtesy of FM Global)... Table 3.4 Predicted quick response sprinkler link operation time and corresponding fire growth characteristics (courtesy of FM Global)...

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