The current paper deals with the dairy valorization problem. A new stochastic model for optimizing dairy valorization model is proposed. It takes into account the multipurpose and batch characteristics of dairies and employs the time resource distribution over the processing nodes and products. Iran’s Kurdistan dairy supply chain is used as a case study .The dairy valorization model developed and analyzed in three scenarios. The first scenario was taken in the definitive space, which indicates the lack of demand dependence on various factors. The second and third scenarios eliminate the space of certainty and consider the demand in dependence of the price of the products, quantity and quality of the incoming raw material (Raw Milk), respectively. The results of the analysis will be presented in two ways, considering byproducts and not considering them. The results reflect improved supply chain profit in case of using byproducts instead of discarding them. The model shows that by utilizing any by products, while increasing supply chain revenue, the amount of nutrient loss decreases. By entering space of certainty into an uncertainty, the chain's profit reduces, indicating the importance of acting to reduce demand fluctuations in order to improve the overall supply chain revenue.