Multiproduct aggregate production planning in fuzzy random environments
نویسندگان
چکیده
This paper discusses multiproduct aggregate production planning (APP) decision making problems in fuzzy random environments. To maximize the chance of obtaining the profit more than the predetermined profit over the whole planning horizon, a fuzzy random APP model is established, in which the market demand, production cost, subcontracting cost, inventory carrying cost, backorder cost, product capacity, product sales revenue, maximum labor level, maximum capital level, etc., are all characterized as fuzzy random variables. Then a hybrid optimization algorithm combining fuzzy random simulation, genetic algorithm (GA), neural network (NN) and simultaneous perturbation stochastic approximation (SPSA) algorithm is proposed to solve the model. At the end of this paper, an example is given to illustrate the effectiveness of the proposed method.
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