Abstract:

To study the problem of the inventory decision making model of perishable electron products in hybrid environment of randomness and fuzziness, a random fuzzy multi-objective inventory decision making model and a corresponding compromised genetic algorithm are proposed. Using the expected value and chance constraint programming technique, the best solution of the model can be obtained. By solving for a numerical example, it is found that the probability level is a factor that contributes the most to objectives, the best amount of order can be attained by changing the probability level and possibility level.