Quality control system design through the goal programming model and the satisfaction functions
The goal programming (GP) model has been utilized for designing a quality control system (QCS) where several features are simultaneously considered. In the context of the quality control, the parameters can be imprecise and expressed through intervals. The aim of this paper is to propose two formulations for designing a QCS based on the imprecise GP model. The concept of satisfaction functions will be utilized to integrate explicitly the decision-makers preference. The developed formulations are illustrated through an example of a paper factory.
quality control system goal programming satisfaction function decision-makers preferences fuzzy goal programming imprecise goals