This paper presents an integration of fuzzily imprecise and probabilistically uncertain data in multi-time period production planning problem. We consider fluctuation of demands and resources by a fuzzy stochastic approach due to incomplete and/or unavailable information. A mathematical programming model that incorporates these aspects of uncertainty with grading products based on different qualities is developed to maximize total profit, considering total costs includes cost of production, outsourcing, labor, and holding, with subject to constraints associated with customer satisfaction, demand, and holding inventory. We also extend a new approach of defuzzifying and derandomizing methods by measuring the superiority and inferiority of the fuzzy stochastic variables when the model has fuzzy stochastic parameters both in the constraints and in the objective function. To illustrate the behavior of the proposed model and verify the performance of the developed fuzzy stochastic-based approach, we introduce a number of numerical examples to explain the use of the foregoing approach. Consequently, the results obtained are reported and discussed.
کلید واژگان :production planning; fuzzy random variables; fuzzy stochastic programming; multi-product; multitime period
ارزش ریالی : 600000 ریال
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