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Engineering Systems Integration
profitability of the product. In either case, the lifecycle success of money is
through an investment that returns benefits (usually preferred in monetary
terms) through planned uses of the product’s inherent functionalities. So,
unlike the independent measures of time and cost, investment through the
construct of money is a dependent metric of stored value for a given product
performance, based on several measures, including cost and performance.
Lifecycle Metric: Performance
Performance is the consequence of accomplishing work, the outcome of an
event. Performance is a metric of functionality, a dependent variable comprised of measures that give rise to a product’s utility. Performance is multidimensional, having meaning only within a domain in which its measures
are continuous and quantifiable (Euske and Euske 2002). As such, the mechanisms that deliver functionality do so based on an input (independent
variable(s)) while the performance (output metric) represents a measurable
set of dependent variables. The context of input and output (Reilly and Reilly
2000) and continuity of the measurements of all the variables must be considered when developing an understanding of performance. An example of
performance is the average speed (km/h) at which a vehicle of mass (kg)
travels between two locations, a stage, or the lifecycle of all travel between an
initial and final location. The ratio of three measures—distance (e.g., km)
times mass (kg) divided by the time (e.g., h)—is a performance metric. In the
case of an internal combustion engine, the lifecycle success of the performance metric could be referenced to the quantity of gasoline consumed during the travel. Therefore, performance is a metric that is relative to the
measures of time, mass, and distance. These measures are impacted upon by
temporal changes and events (Phelan 1993) in various reference frames: vehicle, operator, and environmental. The mechanism(s) that converts the energy
stored in the vehicle’s gasoline into speed may change over time (due to wear
or nonoptimum tuning), by environmental events (headwind and rolling
friction), or due to operator effects (strong acceleration that averages over
time and distance to a constant velocity, but at a lower rate of efficient conversion of gasoline).
Lifecycle Metric: Complexity
Complexity results from emergent properties of integrated objects, number
and types of processes, and the number, types, and frequency of interactions
between and within processes.
Lifecycle Sense
We observe the beginning and end of things to appear to be both a natural
occurrence and one that we contrive by our own intentions. But it seems that
Engineering Systems Integration
profitability of the product. In either case, the lifecycle success of money is
through an investment that returns benefits (usually preferred in monetary
terms) through planned uses of the product’s inherent functionalities. So,
unlike the independent measures of time and cost, investment through the
construct of money is a dependent metric of stored value for a given product
performance, based on several measures, including cost and performance.
Lifecycle Metric: Performance
Performance is the consequence of accomplishing work, the outcome of an
event. Performance is a metric of functionality, a dependent variable comprised of measures that give rise to a product’s utility. Performance is multidimensional, having meaning only within a domain in which its measures
are continuous and quantifiable (Euske and Euske 2002). As such, the mechanisms that deliver functionality do so based on an input (independent
variable(s)) while the performance (output metric) represents a measurable
set of dependent variables. The context of input and output (Reilly and Reilly
2000) and continuity of the measurements of all the variables must be considered when developing an understanding of performance. An example of
performance is the average speed (km/h) at which a vehicle of mass (kg)
travels between two locations, a stage, or the lifecycle of all travel between an
initial and final location. The ratio of three measures—distance (e.g., km)
times mass (kg) divided by the time (e.g., h)—is a performance metric. In the
case of an internal combustion engine, the lifecycle success of the performance metric could be referenced to the quantity of gasoline consumed during the travel. Therefore, performance is a metric that is relative to the
measures of time, mass, and distance. These measures are impacted upon by
temporal changes and events (Phelan 1993) in various reference frames: vehicle, operator, and environmental. The mechanism(s) that converts the energy
stored in the vehicle’s gasoline into speed may change over time (due to wear
or nonoptimum tuning), by environmental events (headwind and rolling
friction), or due to operator effects (strong acceleration that averages over
time and distance to a constant velocity, but at a lower rate of efficient conversion of gasoline).
Lifecycle Metric: Complexity
Complexity results from emergent properties of integrated objects, number
and types of processes, and the number, types, and frequency of interactions
between and within processes.
Lifecycle Sense
We observe the beginning and end of things to appear to be both a natural
occurrence and one that we contrive by our own intentions. But it seems that