Supply Chain Network Design (SCND) models deal with determining strategic decisions such as where and when to locate facilities, the facilities' capacity, and the product flows in the network. Classically these models are optimized either by minimizing the total logistics costs or maximizing the profit generated by the distribution of goods. These models often omit financial considerations.
To integrate the financial dimensions, the objective functions should be replaced by a financial term. For this purpose, we identified Adjusted Present Value (APV) as a suitable financial indicator to be adopted to the SCND models.

We propose a SCND mathematical model maximizing the company's value through the Adjusted Present Value (APV) and solve this with a Large Neighborhood Search (LNS) metaheuristic. In particular, we show how the facility location variables, the product flows variables, and the financial variables are set at each iteration of the LNS.