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Scenario planning differs from contingency planning, sensitivity analysis and computer simulations. [33] Contingency planning is a "What if" tool, that only takes into account one uncertainty. However, scenario planning considers combinations of uncertainties in each scenario.
The scenario approach or scenario optimization approach is a technique for obtaining solutions to robust optimization and chance-constrained optimization problems based on a sample of the constraints. It also relates to inductive reasoning in modeling and decision-making.
Backcasting is a planning method that starts with defining a desirable future and then works backwards to identify policies and programs that will connect that specified future to the present. [1] The fundamentals of the method were outlined by John B. Robinson from the University of Waterloo in 1990. [ 2 ]
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The Phased adoption method has certain pros, cons and risks [8] [4] Pros: The conversion will be done in parts. Time is available for adjustments; Negative influences that arise at the start are less critical; No ‘catch-up’ period is needed. Time for the users to adapt is longer; Technical staff can concentrate on part of the system or some ...
A complicated system is the sum of its parts. In principle, it can be deconstructed into smaller simpler components. While difficult, complicated problems are theoretically solvable with additional resources, specialized expertise, analytical, reductionist, simplification, decomposition techniques, scenario planning, and following good practices.
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