  Supply chain management has been concentrated on productive ways to manage
flows through a sophisticated vendor, manufacturer, and consumer networks for
decades. Recently, energy and material rates have been greatly consumed to
improve the sector, making sustainable development the core problem for
advanced and developing countries. A new approach of supply chain management is
proposed to maintain the economy along with the environment issue for the
design of supply chain as well as the highest reliability in the planning
horizon to fulfill customers demand as much as possible. This paper aims to
optimize a new sustainable closed-loop supply chain network to maintain the
financial along with the environmental factor to minimize the negative effect
on the environment and maximize the average total number of products dispatched
to customers to enhance reliability. The situation has been considered under
demand uncertainty with warehouse reliability. This approach has been suggested
the multi-objective mathematical model minimizing the total costs and total CO2
emissions and maximize the reliability in handling for establishing the
closed-loop supply chain. Two optimization methods are used namely
Multi-Objective Genetic Algorithm Optimization Method and Weighted Sum Method.
Two results have shown the optimality of this approach. This paper also showed
the optimal point using Pareto front for clear identification of optima. The
results are approved to verify the efficiency of the model and the methods to
maintain the financial, environmental, and reliability issues.
