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Bottleneck analysis

Since both retrofit actions can be considered together, the decision maker can opt to perform a Level II economic analysis, since it is required for the botdeneck of scale and it fits the raw material consumption bottleneck analysis. For the environmental and social pillars, the Level I will be conducted, since it is enough for a sustained assessment of both retrofit designs. [Pg.268]

When the most likely bottleneck stage and limiting resource have been identified, choosing the best management action may well then require lower-level DES that acts behind the scenes to calculate maximum throughput at each relevant step within the bottlenecked research stage. Such a two-step process of analysis is much more efficient than a bottom-up attempt to map the R D universe before asking critical questions about constraints. [Pg.266]

Bayesian networks for multivariate reasoning about cause and effect within R D with a flow bottleneck model (Fig. 11.6) to help combine scientific and economic aspects of decision making. This model can, where research process decisions affect potential candidate value, further incorporate simple estimation of how the candidate value varies based on the target product profile. Factors such as ease of dosing in this profile can then be causally linked to the relevant predictors within the research process (e.g., bioavailability), to model the value of the predictive methods that might be used and to perform sensitivity analysis of how R D process choices affect the expected added... [Pg.270]

The evaluation of the action of the Hamiltonian matrix on a vector is the central computational bottleneck. (The action of the absorption matrix, A, is generally a simple diagonal damping operation near the relevant grid edges.) Section IIIA discusses a useful representation for four-atom systems. Section IIIB outlines one aspect of how the action of the kinetic energy operator is evaluated that may prove of general interest and also is of relevance for problems that require parallelization. Section IIIC discusses initial conditions and hnal state analysis and Section HID outlines some relevant equations for the construction of cross sections and rate constants for four-atom problems of the type AB + CD ABC + D. [Pg.11]

Dai S, FH Vaillanconrt, H Maaronfi, NM Dronin, DB Nean, V Snieckns, JT Bolin, LD Eltis (2002) Identification and analysis of a bottleneck in PCB biodegradation. Nat. Struct Biol 9 934-939. [Pg.478]

In Chapter 43 the incorporation of expertise and experience in data analysis by means of expert systems is described. The knowledge acquisition bottleneck and the brittleness of domain expertise are, however, the major drawbacks in the development of expert systems. This has stimulated research on alternative techniques. Artificial neural networks (ANN) were first developed as a model of the human brain structure. The computerized version turned out to be suitable for performing tasks that are considered to be difficult to solve by classical techniques. [Pg.649]

A rather crude, but nevertheless efficient and successful, approach is the bond fluctuation model with potentials constructed from atomistic input (Sect. 5). Despite the lattice structure, it has been demonstrated that a rather reasonable description of many static and dynamic properties of dense polymer melts (polyethylene, polycarbonate) can be obtained. If the effective potentials are known, the implementation of the simulation method is rather straightforward, and also the simulation data analysis presents no particular problems. Indeed, a wealth of results has already been obtained, as briefly reviewed in this section. However, even this conceptually rather simple approach of coarse-graining (which historically was also the first to be tried out among the methods described in this article) suffers from severe bottlenecks - the construction of the effective potential is neither unique nor easy, and still suffers from the important defect that it lacks an intermolecular part, thus allowing only simulations at a given constant density. [Pg.153]

Nowadays, MS is often no longer the analytical bottleneck, but rather what precedes it (sample preparation) and follows it (data handling, searching). Direct mass-spectrometric methods have to compete with the separation techniques such as GC, HPLC and SFC that are commonly used for quantitative analysis of polymer additives. Extract analysis has the general advantage that higher-molecular-weight (less-volatile) additives can be detected more readily than by direct analysis of the polymer compound. [Pg.350]

Principles and Characteristics Because of the limited selectivity of extraction, a chromatographic analysis is almost always needed. Recently, a fair amount of progress has been made regarding the front end of the total analysis procedure, namely the integration of sample preparation (this being the analytical bottleneck) and separation. The idea behind such systems is to perform sample extraction, cleanup and concentration as an integral part of the analysis in a closed system. Scheme 7.2 shows the main procedures related to sample preparation for chromatographic analysis. [Pg.428]

Minimisation of sample preparation is the main bottleneck in polymer/additive analysis. The importance of sample preparation increases with miniaturisation of the separation techniques. However, there is no point in improving instrumentation when the true sources of errors in measurement are sampling, sample inhomogeneity or sample instability. [Pg.731]

In 1994, when the bottleneck of scattering data analysis was still the poor performance of detectors, Rudolph Landes were already spotting the bottleneck of our days ... [Pg.47]

As shown in Figure 7.2, most assays involve a common series of steps that must be completed in order to report results. These steps include sample receipt, method development, sample preparation, analysis, data processing, and data reporting. While most researchers focus on speeding the analysis step, any of these steps can become bottlenecks. Thus it is important to optimize the whole process. [Pg.207]

High-throughput laboratories have turned to assay automation, N-in-one (sample pooling) analysis strategies, and elaborate set-ups for parallel chromatography30 33 to increase capacity and decrease turn-around time. Despite the relatively fast speed of HPLC/MS, this step still creates a bottleneck in ADME work flow. Xu et al.32 reported a fast method for microsomal sample analysis that yields 231 data points per hour using a complex eight-column HPLC/MS set-up. [Pg.237]

The speed of analysis in HPLC is a potential bottleneck for complex sample analysis. Various approaches such as utilizing short columns at high flow rates and the recent focus on 1.5 to 2 /an particles have been reported to increase the speed of analysis. Multidimensional chromatographic approaches have also been demonstrated to increase the throughput of HPLC. The five major parameters that may affect the speed of capillary and nano LC are discussed below. [Pg.356]

In the field of analysis, important progress has been made in terms of sensitivity and selectivity. LC-ESI-MS/MS appears to be the technique of choice for their determination as it provides reliable results at subnanogram per liter or per gram levels. However, sample preparation is identified as the main bottleneck in the analysis of these compounds. Quite tedious and time-consuming procedures are still required, especially in the case of complex matrices such as sewage sludge. [Pg.22]

As vitally important as the capabilities for experimental planning, screening, and data analysis are the procedures for preparation of inorganic catalysts. In contrast to the procedures usually applied in conventional catalyst synthesis, the synthetic techniques have to be adapted to the number of catalysts required in the screening process. Catalyst production can become a bottleneck and it is therefore necessary to ensure that HTE- and CombiChem-capable synthesis technologies are applied to ensure a seamless workflow. [Pg.385]


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See also in sourсe #XX -- [ Pg.86 ]

See also in sourсe #XX -- [ Pg.297 ]




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