چكيده به لاتين
Nowadays, as technology advances, demand increases and market competitiveness, managers find that designing a supply chain network optimally can play an important role in increasing the profitability and productivity of the organization. In recent years, the social performance of companies and business units has also attracted increasing attention from researchers and experts. Many people believe that the essential elements of the workplace must be respected, and that it should not be neglected.
To improve supply chain efficiency, modeling and optimizing financial flow alongside physical flow is critical. In this research, a mathematical planning model is presented to design integrated supply chain network based on financial and physical flows under uncertainty conditions which also assess social performance.
The proposed model has two objectives, including maximizing the net present value of the supply chain (NPV) to evaluate the financial performance of the supply chain and maximizing the level of social responsibility in order to create employment in areas with higher unemployment rates and to develop in areas with less development. Since some parameters are uncertain in the real world, demand parameters and transportation costs, maintenance, and inventory costs are considered uncertain in order to approach the real world model in order to deal with uncertainties. Stowe's optimization approach Then, using the basic article data, the proposed multi-objective mathematical model is solved by the utility of multi-choice objective programming with the utility function and using Gaussian software. Finally, sensitivity analysis is performed on some important parameters of the problem. And the results are presented.
