جستجوی مقالات مرتبط با کلیدواژه « شبکه زنجیره تامین » در نشریات گروه « صنایع »

Nowadays, the issue of supply chain network design has garnered significant attention in supply chain management. Researchers have focused on the competitiveness of markets and the pursuit of greater benefits. Therefore, this article presents a multi-objective mathematical model for the    design of a dynamic and integrated supply chain network, specifically addressing a competitive and sustainable closed-loop supply chain for a perishable commodity. The proposed model        incorporates competition between two supply chains, considering environmental, social, and resilience factors. To solve this competitive model, a two-step approach is introduced. In this two-stage approach, the first stage involves calculating equilibrium values for competitive decisions using game theory. Then, in the second stage, an innovative multi-objective algorithm based on Pareto optimization is employed to solve the network design problem, taking into account the results from the competitive stage and addressing the complexities of the proposed model. Finally, the efficiency of the proposed model and solution approach is evaluated using a numerical example analyzed graphically and statistically. The results and graphs demonstrate that the proposed model performs well and successfully achieves the intended objectives.

In recent years, the increasing pollution of the environment and its destructive consequences, as well as the growing concern about it, has led to new concepts and approaches to reduce these effects and preventive environmental measures. One of the most important of these approaches is the green supply chain. Green supply chain integrates supply chain management with environmental requirements in all stages of product design, selection and supply of raw materials, production and manufacturing, distribution and transfer processes, delivery to customer and finally after consumption, recycling management and Re-consumption is designed to maximize energy efficiency and resources while improving the overall performance of the supply chain. In this paper presents a multi-objective model for a green supply chain network. To solve it, the LP-metric method is used, which is coded in Gams software. The results show that the study of two important factors of cost and carbon dioxide emissions, as one of the most important and well-known pollutants, has led to the application of this model in the supply network and. The results also show that it is more important to pay attention to greenhouse gas emissions at higher demand.