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(D-Rank) Both A-Rank and D-Rank methods do not always lead to optimal solutions because they ignore tax considerations in IT projects, but these methods do provide exibility to solve the ITCB problem without a clear de nition of an objective function Given restrictions posed by ranking methods, and dif culty in using integer programming models, we nd that heuristic approaches are best suited for solving the ITCB problem The heuristic approaches provide us with the exibility to model the objective function appropriately, de ne accounting rules, and nd the solution to the ITCB problem in polynomial time Therefore we developed two simulated annealing (SA) procedures for solving the ITCB problem Our rst SA procedure utilizes a feasibility restoration component In our second procedure, we eliminate the feasibility restoration step from the rst SA procedure The feasibility restoration always maintains a feasible solution In the event when a solution is not feasible, failure occurs in our second SA procedure and annealing schedule is omitted We call our rst SA procedure the feasibility restoring SA (FRSA) procedure, and the second procedure the simple SA (SSA) procedure We use n object-oriented programming language C to build a simulation model for generating a real-world set of IT projects, revenues, and IT budgets The probability density functions for revenues, IT budget, and individual project types were developed using the data from an Information Week survey of Compustat s top 500 rms The descriptive statistics for revenues and IT budgets are summarized in Table 25 Table 26 illustrates the descriptive statistics for the natural log-transformed variables The correlation between log transformed revenue and IT budget variables was 0722 The simulation model used base e antilogarithm exponent transformation of Revenue and IT Budget variables to compute the actual values of revenues and IT budget for analysis Individual hardware, personnel, software, and other category projects were generated with normal distributions with means of $456 million, $709 million, $1182 million, and $405 million, respectively The standard deviations of 10% were considered for each of the categories. The Macintosh user interface itself makes it clear that Apple believes in direct manipulation as a fundamental tenet of good user-interface design However, user-centered design guru Don Norman says Direct manipulation, first-person systems have their drawbacks. Although they are often easy to use, fun, and entertaining, it is often difficult to do a really good job with them. They require the user to do the task directly, and the user may not be very good at it. Whom should we believe The answer, of course, is both of them. Direct manipulation is an extremely powerful tool; but it can require skill development for users to become effective. Many direct manipulation idioms require motor coordination and a sense of purpose. For example, even moving files between folders in Windows Explorer can be a complicated task requiring dexterity and foresight. Keep these challenges in mind as. using barcode generation for asp.net web forms control . 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