چکیده :

In many real-world production planning problems, fuzzily imprecise and probabilistically uncertain data may affect decision making. Here, a new mathematical programming model incorporating both fuzziness and randomness simultaneously is developed. For our approach, we consider real-life problems with uncertainty in production planning decisions. The proposed model is to maximize total profit, considering production, outsourcing, and constraint associated with customer satisfaction, demand, and holding inventory.

کلید واژگان :

Production planning; Fuzzy stochastic programming; multi-product and multi-time period.



ارزش ریالی : 300000 ریال
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