In: Operations Management
For goal programming models, what is not true?
A) Always minimization.
B) Only deviational variables appear in the objective function.
C) All deviational variables must be >= 0.
D) Only deviational variables appear in the constraints.
Answer
B. Only deviational variables appear in the objective function.
Goal Programming
It is an extension of linear programming that is capable of handling multiple and conflicting objectives. Goal programming is one of the most popular multi-criteria decision-making techniques. The criteria are referred as goals. It is an optimization model to balance conflicting criteria. Its major strength is its simplicity and ease of use. Goal programming is an optimization technique to solve problems with multiplicity of objectives, which are generally incommensurable and they often conflict each other in a decision making horizon. Goal programming is an optimization technique to solve problems with multiplicity of objective in a decision making horizon. Goal programming is a goal-oriented optimization method to solve multi objective decision problems in crisp decision environment. In a certain programming environment, optimization of a set of objectives is involved there in the decision situation. Here, instead of optimizing them directly, achievement of the estimated / expected target values called aspiration levels of them are considered. In a certain programming environment, optimization of a set of objectives is involved there in the decision situation. Here, instead of optimizing them directly, achievement of the assigned target values called aspiration levels of them is considered. In goal programming method, the unwanted deviations (under and / or over) from the aspired levels are minimized in the goal achievement function (objective function) to reach a satisfactory solution in a crisp decision environment. It is a goal-oriented optimization technique to solve decision problems with multiplicity of objectives in a crisp environment.
GOAL PROGRAMMING MODEL FORMULATION PROCEDURE
(1) define the decision variables, (2) state the constraints, (3) determine the preemptive priorities if need be, (4) determine the relative weights if need be, (5) state the objective function, and (6) state the non-negativity or given requirements.