Design is optimisation the designer seeks the best, the optimum, solution to a problem. [Pg.24]

T Options dialog box before clicking Solve. A problem of this type has an optimum solution at which [Pg.246]

Other selections of shell length, number of passes and required diameters can then be made to obtain an optimum solution. [Pg.120]

Unfortunately, the district is unable for the moment to use or destroy this dangerous toxic material. The optimum solution for this issue would be the storage or destruction by such entities that have the respective licenses for performing this kind of work. [Pg.17]

Before the algorithm is allowed to start, a reasonable range for each parameter in the string is established, such that we are confident that the optimum solution lies within the range covered by the parameters [Pg.162]

Operations and human factors specialist involvement is important to find optimum solutions to human factors/ergonomics issues. Applying inherent safety principles to ergonomics/human factors issues can reduce risks associated with [Pg.123]

It is important to note that in formulating the problem in this way, it is a linear formulation, guaranteeing (within the bounds of the assumptions made) a global optimum solution. The potential problems associated with nonlinear optimization have been avoided. Even though the models are nonlinear, the problems associated with nonlinear optimization have been avoided. The approach can use either shortcut models or detailed models and the linearity of the optimization is maintained. [Pg.230]

The series of LP solutions required for MILP problems can be solved efficiently by using one LP to initialize the next. An important point to note is that, in principle, a global optimum solution can be guaranteed in the same way as with LP problems. [Pg.51]

A P2 opportunity needs to be looked at every time when dealing with a pollution problem, but only a detailed analysis and comparison to status quo and financial benefits and drawbacks will enable an optimum solution to a problem. In this regard, one of the objectives of this chapter is to wade through the P2-propaganda, and provide some simple guidelines on how to properly apply the principles to air pollution problems. [Pg.349]

Inclusiveness. In branching to the descendants, we should ensure that no solution of the parent set is omitted from the child subsets. If we fail to have inclusiveness, the procedure may not correctly find the optimum solution. Formally, this requirement implied that [Pg.279]

In perhaps more than 70% of cases, the major problem is the physical removal of particulate matter, but also in more than 70% of cases, the polishers selected utilize resin bead deep-bed polishers, which are not necessarily the optimum solution. [Pg.378]

Unfortunately, applying IX technology is not easy because each of these fundamental IX processes can be subdivided into several subset processes designed to provide optimum solutions based on multifarious MU water sources and user-specific needs. [Pg.346]

This mathematical optimization procedure is a rational process because the slope (or derivative) enables us to know which way to go and how far to go. In contrast, in the search procedure, we just arbitrarily choose some values of x at which to evaluate the function. Those arbitrary choices are much like what people do in most design situations. They are simply searching in a rather crude mannerfotThe solution to the problem, and they will not achieve the solution precisely. With mathematical optimization, our hope is both to speed up that process and to get a more precisely optimum solution. [Pg.430]

Illustrative performance properties for a "general purpose polycarbonate," and for the same resin modified with the additive formulations "700" (without PTFE) and "800" (with PTFE) are summarized in Table IV (adapted from reference 32). It is clear that the objective of minimal effect on performance properties has been attained for this system. It is evident that flame retardant effectiveness attained with minimal levels of additive can provide optimum solutions to the problem of decreasing flammability without sacrifice in performance properties. Work documented to date suggests that in depth studies of thermal degradation such as reported for aromatic sulfonates in polycarbonates (28) would be rewarding for other systems. [Pg.249]

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