Abstract: In the chloralkali chemical manufacturing process, a kind of byproduct called salt mud is produced. The best way to deal with such a byproduct is to develop its downstream products. The question is what downstream products should be produced such that the benefit is maximized. Based on credibility measure, this problem is formulated as a fuzzy chanceconstrained goal programming problem. When the fuzzy variables are triangular fuzzy numbers, in some cases, the fuzzy chanceconstrained goal programming problem is shown to be equivalent to a simplified deterministic problem. Consequently, it can be efficiently solved by existing methods. For the cases that such an equivalence cannot be established, a genetic algorithm based on fuzzy simulation is presented. A numerical example is presented to illustrate the application and effectiveness of the proposed method.

Key words: cyclic economy, fuzzy goal programming, chance-constrained programming, genetic algorithm