Networking primary objectives

If the primary objective is the restructuring of a value chain, the solution space is wider as several plants can be affected simultaneously. Restructurings are usually initiated because of inefficiencies within the existing network or in the context of site closures and can take on one of three basic forms (cf. Bankhofer 2001, p. 95) ... 

Since all these concepts form part of physical organic chemistry, whose primary objective lies in investigating reaction mechanisms, we now consider separately the question of the evolution of the types and mechanisms of reactions in a chemical set represented by a complete operator network. 

The primary objections to this come, as you d expect, from the coaches and N.C.A.A. administrators. It would cut down on revenues, they say. But why Even if the networks paid less for a game played by nonscholarship athletes, the schools would still earn big bucks certainly more than it would have cost them to field the teams.. .. ... 

Let us consider the network shown in Fig. 4.13. Our primary objective is to demonstrate the selection of an initial set of estimates for iteration rather than accuracy. Because of the horizontal symmetry of the problem, Txi = Tt, T23 — I4.3, 2,4 = T4 4, we need to consider only the temperature of the six locations indicated in the figure by solid circles. In view of Eq. (4.24) with u " = 0, the corresponding difference equations are... 

Learning to build a network is a skill that will serve you for life. Networking s primary objectives are ... 

More and more products are covered by complex sculptured surfaces and multi-surface shapes. One of the primary objectives in the development of modeling systems is the ability to handle any desired shape regardless of its complexity. The traditional way is by creating single surfaces then blending them into complex ones. An advanced solution is the application of a curve network as complex input information to create a set of surfaces in an associative way. Complex surfaces are often called skins. 

The primary objective of this paper is to present an image-based network model for retinal vasculature inclusive of capillary vasculature, which can represent an individual retina or a case study of retinal vasculature. The secondary objective is to demonstrate the use of such network model to carry out numerical simulations of circulation, which can provide detailed information of the spatial distribution of the pressure, flow, hematocrit, apparent viscosity and wall shear stress in the entire retinal vasculature. 

The model was applied to the manufacturing and distribution network of a leading health care and hygiene company, based on its competitive strategy and corresponding customer demand projections, for a 10-year horizon. Initially, the analysis was executed with the primary objective of maximizing profits, and it consisted of three supply chain scenarios ... 

Projects and processes involve working with multiple relationships, inside and outside each team. At the same time, processes are potentially continuous and projects are start and finish dated by nature. All the activities need coordination in order to achieve the primary objectives. In this context, risks take different forms, such as dismptions, reductions in service or performance levels and delays. It is critical that each organization implements an integrated assessment of risks threatening the performance of the entire network and projects and processes. 

In 1973, the EPA established a nationwide network, called ERAMS, for obtaining data in environmental samples. ERAMS consists of a network of samphng stations that provide air, surface and drinking water, and milk samples that the EPA uses to obtain environmental concentrations of radioactive material. The objective of this system is to identity trends in the accumulation of long-lived radionuclides in the environment (EPA 1994). Sampling locations for ERAMS are located near primary population centers to provide optimal population coverage. 

Microarray data analysis is a new area of data analysis with its own unique challenges [25]. Based on the study purposes, this process can be subdivided into two components primary analysis and integrated analysis. Primary analysis involves differential expression identification and classification for the three primary study objectives (i.e., class comparison, class discovery, and class prediction). Integrated analysis means to identify metasignatures, pathways and networks by integrating various sources of data. 

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