Ammunition is one of the most critical elements that determine the success of military operations. States make distribution plans to conduct their operations in the most effective way and to provide the ammunition their troops need at the right time, in the right quantity, and in the right place. These distribution plans must consider not only operational effectiveness but also environmental sustainability. Collecting spent, deteriorated, or expired ammunition during operations and recycling it is an important part of these comprehensive plans. In order to minimize environmental impacts, ammunition recycling stands out as a strong alternative to traditional disposal methods. Collecting end-of-life ammunition and re-evaluating it in separation and processing facilities provides both environmental and economic benefits. In this process, metals and other materials in the ammunition are recovered, significantly reducing the need for energy and raw materials required for new production. As a result, carbon emissions decrease, energy is saved and more efficient use of natural resources becomes possible. Effective implementation of recycling processes allows for the reduction of military expenditures and provides the opportunity to direct these resources to more sustainable projects. In this study, a Multi-Period Multi-Depot Simultaneous Pick Up-Delivery Vehicle Routing Model is proposed to meet the ammunition demands of military units and to plan collection activities for recycling of expired ammunition over a 12-day period. This model was developed to reduce carbon emissions emitted to the environment during ammunition distribution and collection processes and to ensure minimum vehicle usage. The model aims to design the most efficient logistics network by considering both weight and volume constraints of the ammunition to be distributed and collected in a generic scenario. The application of the model aims to indirectly minimize carbon emissions emitted to the atmosphere by minimizing the number of vehicles used and optimizing the routes. The solution achieved was evaluated by visualizing the model and the suitability of the methodology for military logistics problems was discussed based on the obtained results.