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ergo
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with a good theory, model, or formula
predictions
is theory valid for reality
cannot trust output of theory without its validation for various conditions of use
powerful combination
theory and data
signal detection
concludes differences by being correct or incorrect
scientist vs engineer
engineers settle for practical answers, trade off multiple criteria without any satisfactory trade off values
five steps of engineering design procedure
DAMES
define the problem broadly
detail-free, discuss problem first, include criteria, get input early and often
analyze in detail
define statement with more details, identify limits, include variability in users and components
what should the design achieve
cost accounting, scheduling, tradeoffs of criteria
what are the needs of the design users
productivity, style, comfort, accuracy, esthetics
what are the design limits
constraints and restrictions in fabrication and assembly techniques and sequence
include variability in components
consider not only main activities but also the get ready and put away activities
what are the characteristics of the population using the design
variability in users
who is affected by the design
operators, supervisors, other departments, maintenance
make machine adjust to person
fit task to worker
make search of solution space
donāt eliminate alternative designs too early, donāt be limited by imagined constraints, optimum solution not feasible solution, more than one solution
benchmarking
if you stand on someoneās shoulders, you can see farther than that person can
evaluate alternatives
trade off multiple criteria, calculate benefit per cost
specify and sell solution
accept a partial solution rather than nothing, follow up on designās implementation and if it reduces problem
pareto principle
80% consequences come from 20% causes
donāt waste time on small problems
insignificant 80% and mighty few 20%
identify products with maximum
cost, storage requirements, profit, energy consumption, emissions