In this research, by studying the research background and using the latest version of SCOR model and experts' opinion, while identifying the factors affecting supply chain stability and determining the weight of each factor by IVHF-DANP method, the priority of SSCM rings has been determined using EHFL-VIKOR method in cement industry with the aim of improving supply chain performance. Consequently, in addition to six criteria of SCOR model and three dimensions of sustainability approach, ten other factors have been determined by experts and in total, the weight of nineteen factors has been determined and the customer's interest ring has the most preference. Then, the relevant mathematical model was presented and solved in GAMS software using NSGA-II method in MATLAB software. The combined integrated model of sustainable supply chain has been dealt with in this research since the whole supply chain -from the primary supplier to the final customer- is considered in forming and solving the model and each of the objective functions has been realized by assigning the characteristics of the SCOR model to the three dimensions of the sustainability approach formed accordingly.

Multi-objective location-routing problem is one of the most important research areas in the field of transportation and distribution management. The aim of this study is to optimize a multi-objective problem. Combining two routing and location problems, considering a set of warehouses, meeting the customer’s requirements from each warehouse, and designing an optimal route for the vehicle that brings the lowest cost to the transportation system are the main objectives of this research. Although factors such as customer satisfaction with receiving services, fuel constraints in vehicles and the existence of important time intervals, which are referred to as hard time window, are of great importance in location and routing problems, less has been paid to them. In this research, efforts have been made to address these issues. To achieve the best priority by finding the shortest route and to reach the least deviation from the time window is some of the objectives of this research. Combining variables related to vehicle fuel capacity and fuel consumption speed has also been applied in this study. In this research, first, a mixed integer linear programming model is presented and then metaheuristic method based on Non-dominated Sorting Genetic Algorithm is proposed to find the optimal solution. To evaluate the proposed performance, an example is mentioned in this framework. The result of computational experiments, shows the efficiency of the existing research methodology and its strengths and weaknesses.