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point of view, we refer to the level of success as mission reliability. Mission reliability is in uenced by internal EQUIPMENT element failures or over/undertolerance conditions, human operator performance (judgment, errors, fatigue etc.) and interactions with OPERATING ENVIRONMENT entities and threats. Mission reliability is the probability that a system will successfully accomplish a mission of a speci c duration in a prescribed OPERATING ENVIRONMENT and accomplish objectives without a failure event. Depending on the system application, 100% mission reliability may be prohibitively expensive, but a 90% mission reliability may be affordable. Authors Note 16.1 Since reliability ultimately has a cost, establish an initial reliability estimate as simply a starting point and compute the cost. Some Acquirers may request a Cost-as-anIndependent-Variable (CAIV) plot of cost as a function of capability or reliability to determine what level of capability or reliability is affordable within their budgetary constraints. Specify and Bound the Required Level of Performance. Once the mission reliability is established, system designers can proceed with identifying the level of performance required of the system elements, such as EQUIPMENT and PERSONNEL, subject to cost, schedule, and risk constraints. Once we establish the primary mission objectives, the next step of mission analysis is to de ne the mission pro le.



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Bringing the focus on people, process, and technology up from the systems and project level and applying it to the enterprise achievement of IT and business alignment provides a focal point for CIOs in their quest to achieve the challenging alignment mission and the realization of business strategy Enterprise architecture defines the IT and business capabilities required by articulating and modeling the future-state required to realize the goals of business strategy It is the link between strategy, technology, processes, and organization There are a number of EA methodologies, which the CIO can adopt, and they all have differing approaches to the challenge of quantifying and describing the architecture of the enterprise All of the models of enterprise architecture, however, describe both functional and technical architectures.





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A mission begins with a point of origination and terminates at a point of destination. As end-toend boundary constraints, the challenge question is: HOW do we get from the point of ORIGINATION to the point of DESTINATION We begin by establishing a strategy that leads to a mission pro le or a roadmap that charts progress through one or more staging and control points, or waypoints. A waypoint represents a geographical location or position, a point in time, or objective to be accomplished as an interim step toward the destination, as illustrated in Figure 16.1. Each phase of operation is decomposed into one or more objectives focused on the pathway to successful completion of the mission. Consider the following examples:

u ( x, y) 1 .( x, y)

Objective #1

Objective #2 Objective #3 Objective #4 Objective #5 Objective #6

v and node u.) Let r be a vector from the origin to the position of node v. Let ru be a vector from the origin to the estimated position ( u , yu ) of node u. A unit vector is x de ned by 1i = ri ru |ri ru | (2.5)

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A ship cruise line has several ports of call or waypoints on its scheduled item erary for a 7-day voyage. A package delivery service has performance-based deliveries or waypoints for a delivery route.

Choose your methodology carefully and remember that it is not necessary to choose a formal EA toolset and methodology to develop and maintain an effective enterprise architecture Choose a consistent way to describe your architecture that is accessible and amenable to your enterprise culture Enterprise architecture has a direct and synergistic relationship to three other core disciplines of the successful CIO: IT governance, IT portfolio management, and IT organizational development Manage them all proactively and in unison with one another..

Human-made systems, especially cyclical systems, sequence through three sets of objective-based actions to accomplish a mission: 1) prepare for the mission, 2) conduct the mission, and 3) perform post-mission actions and processing. We characterize these objectives as the pre-mission, mission, and post-mission phases of operation. For those systems to be placed in storage following the mission, an interim phase storage may be added. When implemented, the SYSTEM OF INTEREST (SOI) consisting of the MISSION SYSTEM and SUPPORT SYSTEM must provide capabilities and levels of performance to support these phases of operation. Each phase consists of use case based operations and tasks, all focused on accomplishing the phase outcome-based performance objective(s).

Step 4: Create a Mission Event Timeline (MET)

where the denominator in Eq. (2.5) is the length of the difference between vector ri and vector ru and the resulting unit vector de nes the orientation of a vector from the estimated position ( u , yu ) to node v. If |r ru | is the distance between the estimated x location ( u , yu ) and node v, then the distance correction is de ned as the difference x (see Figure 2.6) = |ri ru | d (2.6)

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