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 formula...

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Bibliographic Details
Published in:European journal of operational research 2008-05, Vol.186 (3), p.1084-1098
Main Authors: Cherif, Mohamed Sadok, Chabchoub, Habib, Aouni, Belaïd
Format: Article
Language:English
Subjects:
Applied sciences
Decision making
Decision theory. Utility theory
Decision-maker’s preferences
Exact sciences and technology
Fuzzy goal programming
Goal programming
Imprecise goals
Operational research and scientific management
Operational research. Management science
Pulp & paper mills
Quality control
Quality control system
Satisfaction function
Studies
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Summary: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-maker’s preference. The developed formulations are illustrated through an example of a paper factory.
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2007.04.025