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Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.
In this example a company should prefer product B's risk and payoffs under realistic risk preference coefficients. Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine).
Objectives, goals, strategies and measures (OGSM) is a goal setting and action plan framework used in strategic planning.It is used by organizations, departments, teams and sometimes program managers to define and track measurable goals and actions to achieve an objective.
Strategic planning [1] is an organization's process of defining its strategy or direction, and making decisions on allocating its resources to attain strategic goals. Furthermore, it may also extend to control mechanisms for guiding the implementation of the strategy.
Management by objectives (MBO), also known as management by planning (MBP), was first popularized by Peter Drucker in his 1954 book The Practice of Management. [1] Management by objectives is the process of defining specific objectives within an organization that management can convey to organization members, then deciding how to achieve each objective in sequence.
S.M.A.R.T. (or SMART) is an acronym used as a mnemonic device to establish criteria for effective goal-setting and objective development. This framework is commonly applied in various fields, including project management, employee performance management, and personal development.
An optimal decision is a decision that leads to at least as good a known or expected outcome as all other available decision options. It is an important concept in decision theory . In order to compare the different decision outcomes, one commonly assigns a utility value to each of them.
Decision analysis (DA) is the discipline comprising the philosophy, methodology, and professional practice necessary to address important decisions in a formal manner. . Decision analysis includes many procedures, methods, and tools for identifying, clearly representing, and formally assessing important aspects of a decision; for prescribing a recommended course of action by applying the ...