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Functions maximization

Kouvelis et al. (2004) present a relatively simple multi-period MILP plant location model for global production network design with investment decisions only allowed in the first period. The production system consists of component-dedicated manufacturing sites and final assembly sites. It is limited to two production levels and one final product. The objective function maximizes the NPV of the production network. The main purpose of the model is to analyze the effects financing subsidies, tax regimes, tariff structures and local content requirements have on optimal network design. The analysis is based on theoretical considerations and a numerical example. More complex aspects of international trade such as duty drawbacks are not considered. [Pg.63]

The objective function maximizes the net present value of cash flows before taxes. It contains three major components country revenues, site costs and inventory carrying costs. To improve legibility, the equations calculating the parameters contained in the objective function are discussed below ahead of the actual model restrictions. [Pg.96]

The major fact resulting from the analysis of mass flow from wood carbonization is the general and considerable effect of moisture content on the process. The effect on the factor M of the symmetric logistic function (maximal mass of volatile matter produced at an infinite time) is expected the water present in wood is evaporated and constitutes a part of the volatile matter. It is thus natural to observe a factor M higher for wet wood samples (H37) than for anhydrous samples (HO). [Pg.1627]

Regarding the factor M of the symmetric logistic function (maximal quantity of energy produced), we observe a very high variability of the value taken by the factor M, This high variability of experimental results does not allow us to demonstrate a determining effect of one of the factors of variation. [Pg.1628]

We can say that interactive methods have not been used to optimize SMB processes and, usually, only one or two objective functions have been considered. The advantages of interactive multi-objective optimization in SMB processes has been demonstrated in Hakanen et al. (2008, 2007) for the separation of fructose and glucose (the values of the parameters in the SMB model used come from Hashimoto et al. (1983) Kawajiri and Biegler (2006b)). In Hakanen et al. (2008, 2007), the problem formulation consists of four objective functions maximize throughput (T, m/h ), minimize consumption of solvent in the desorbent stream (D, m/h ), maximize product... [Pg.173]

The more complex systems demand larger hardware to function maximally. The standard IBM compatible PC-AT with 640K of RAM is no longer sufficiently large to handle the complex applications being contemplated. This means that the more complex systems will have to... [Pg.26]

This functional relationship, referred to as the consumer s demand function, in theory can be derived from a utility-function-maximization analysis. [Pg.47]

The obtained correlation is described by parabolic curves 1 and 2 (Figure 2.2) characterized by initial rising with further extreme value, then decrease of the function. Maximal values of the curves are obtained at different values of viscosity. For curve 1 of the change of durability against compression, the maximum is obtained at viscosity 1.2 Pa s. [Pg.27]

Following intravenous injection, the Tc-IDA complex is bound to plasma protein (mainly albumin) and carried to the liver (Nicholson et al. 1980). Accumulation in the liver involves the same carrier-mediated, non-sodium-dependent organic anion transport processes as for the uptake of bilirubin. In the space of Disse, the albumin- Tc-IDA conjugate is dissociated to facilitate active transport of the Tc-IDA complex into hepatocytes (Krishnamurthy and Krishnamurthy 1989). In patients with normal hepatobiliary function, maximal liver uptake is measured at 12 min ( Tc-mebrofenin, 10.9 1.9 min Tc-disofenin, 11.5 3.1 min) (Fritzberg 1986). The radioactivity is half this value within approximately 20 min. The gallbladder is well visualized 20 min postinjection. Intestinal activity appears on the average at 15-30 min. The common bile duct may be visualized after 14 min. The upper limit of normal for visualization of these structures is 1 h (Weissmann et al. 1979). [Pg.319]

Perhaps more illuminating is the spatial distribution of the electron and hole wave functions. The hole wave function is concentrated at the central S atom (Sc, 68%) and the electron wave function is mostly delocalized among the 16 Cd atoms (12 M, 4MF, 70%) [36]. This spatial distribution of the wave functions maximizes their overlap and is exactly what is expected of an idealized quantum-confined exciton (Structure 2). To the best of our knowledge, this 10-A, 55-atom CdS cluster is the smallest cluster to exhibit the basic exciton properties. [Pg.197]

Parameters have been estimated by LIMDEP likelihood function maximizing routine (Greene, 2000). [Pg.131]

A further class of ligand-based 3D-methods focuses on the comparison of the shape of molecules. This is done either on the basis of a solvent accessible surface or the shape is approximated by atom-centered soft Gaussian functions. Maximizing the overlay of these Gaussian functions maximizes the overlap between a query molecule and a single conformation of the target molecule. This is used in the Rapid... [Pg.225]

The multi-objective function maximizes the aggregated facility goodness indicator... [Pg.221]

In this section, we solve the bi-criteria model using fuzzy goal programming approach. The results confirm that the two objective functions, maximization of the supply chain profit and maximization of the supply chain density, are conflicting objectives. The increase in supply chain density leads to a decrease in supply chain profit and vice versa. The graphical representation of an efficient frontier is in Fig. 5. [Pg.16]

This objective function maximizes profits for the firm. When using a profit maximization objective function, a manager should modify the constraint in Equation 5.1 to be... [Pg.132]


See other pages where Functions maximization is mentioned: [Pg.408]    [Pg.144]    [Pg.146]    [Pg.380]    [Pg.455]    [Pg.60]    [Pg.70]    [Pg.96]    [Pg.104]    [Pg.85]    [Pg.75]    [Pg.173]    [Pg.1206]    [Pg.128]    [Pg.181]    [Pg.361]    [Pg.120]    [Pg.300]   
See also in sourсe #XX -- [ Pg.43 ]




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