Özet:

Companies need to set the same objective instead of a single objective. Multi-purpose programming algorithms require the decision maker to set their goals and all their goals to be ranked according to the degree of importance. The algorithm uses priority factors to attempt to the goals that are ranked according to the degree of importance, starting from the priority, and attempt to the next goal after achieving the possible level to the important goal. Objective programming is attempted to be achieved under the limits given to the objectives and the possible deviation from the objectives is attempted to be achieved. However, in cases where the goals are uncertain, the foolish target programming is used to provide flexibility instead of target programming. In this study, the results were compared by solving production planning problems, multi-purpose decision-making, target programming and foolish target programming methods. For the purpose of determining the appropriate membership function in the target programming method, the triangular membership functions have been used by Yang, Ignizio and Kim Approach.

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