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activities. Allocate only a certain amount of time and money to each of the three steps. People learn to manage the scope and pace of the work to meet their due dates and budgets. Set the scope and pace of work in each step of the project to conform to the time and budget constraints shown in Exhibit 3.7. If a step in the sequence is not completed in a timely manner, the process and the project itself is in danger of breaking down. People must stay on track. These constraints provide the implicit guidance to keep



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Control movement 281 [12, 32 37]

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7. Assessing compatibility and interoperability with external systems in the entity s OPERATING ENVIRONMENT. Referring to Figure 26.1, each entity s Physical Domain Solution: 1. Is allocated requirements from and must be traceable to the entity s Requirements Domain Solution. 2. Integrates with a higher level User, SYSTEM, PRODUCT, ASSEMBLY, and SUBASSEMBLY Physical Domain Solution (Figure 26.6). 3. May be expanded or decomposed at least two or more lower level entity Physical Domain Solutions (Figure 26.6). 4. Is assessed for consistency, compliance, and performance by the Evaluate and Optimize the System Design Solution.





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In a tutorial article [42], Ferreira describes a simple combinatorial reference model that captures most characteristics of the time-varying networks. A notion of evolving graphs, which consists of formalizing time domain graphs, is introduced. Modeling time in mobile ad hoc networks gives rise to several different matrices that may serve as objective functions in routing strategies, such as earliest time to reach one or all the destinations or minimum hop paths (with or without the condition that packets arrive before a prede ned time period). The readers are referred to reference 42 for more details and references therein. In Figure 8.2, originally shown in reference 42, the min-hop path from S to D takes 4 hops at time interval 1 while it takes one hop at time interval 4, where the number next to each link denotes the time interval during which the link is active. In reference 19, algorithms selecting the path of message delivering are presented, depending on the available knowledge about the motion of hosts. Three cases are considered. In the rst case, it assumes that global knowledge of the characteristic pro les with respect to space and time (that is, the characteristic pro les of the motion and availability of the hosts as functions of time) are completely known by all the

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As the Physical Domain Solution evolves and matures, the next step is to Evaluate and Optimize the System Design Solution. The purpose of this step is to verify and validate that the entity s Requirements, Operations, Behavioral, and Physical Design Solutions: 1. Are consistent with each other. 2. Fully comply with and are traceable to its Requirements Domain Solution. These objectives are accomplished via the following: 1. 2. 3. 4. 5. Technical reviews. Technical audits. Prototype development. Modeling and simulation. Proof of concept or technology demonstrations.

You will encounter people who contend that you cannot optimize a system for a diverse set of operating scenarios and conditions, it can only be optimal: let s differentiate the two viewpoints. For a prescribed set of operating conditions and priorities, you can theoretically optimize a system. The challenge is that these conditions are often independent and statistically random occurrences in the OPERATING ENVIRONMENT. As a result a system, product, or service performance may not be optimized for all sets of random variable conditions. So people characterize the SYSTEM s performance as optimal in dealing with these random variables. There is an unwritten rule that says that most human attempts fall short of their goals. Assuming you have realistic goals, WHAT you accomplish depends on WHAT you strive to achieve. So in Step 6, Evaluate and Optimize System Design Solution, we use the term optimize to communicate WHAT we strive to achieve. Given human performance history in goal achievement, striving to simply be optimal will probably produce a result that is less than optimal, an even less desirable outcome.

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