Gıda bankası operasyonları için lojistik işbirliği

Supporting Sustainable Development is getting more and more important to leave a better world to the next generations and a sustainable food system is one of the elements in Sustainable Development. This study focuses on developing a sustainable food donation system operated for charitable agencies by an entrepreneurial company. Charitable agencies are mostly in the form of food banks. In the food donation system, donor companies donate their surplus food and the food banks are responsible to collect these donations assigned to them by a digital platform based on their demand. However, not every food bank has vehicles to collect donations on their own. In this study, it is proposed that the vehicles already owned by some of the food banks shall be used mutually to carry out the donation operations for other food banks too. This newly proposed concept is called logistics collaboration, and to optimize the system with collaboration, a mathematical formulation is developed. The optimization model assigns the donations timely to the food banks, arranges the daily routes of the vehicles, and decides the pickup and delivery operations to conduct throughout the routes. The model aims to maximize the total monetary savings of the donations rescued while minimizing the total environmental and economic damage caused by vehicle usage. To test the model, 136 real-life based instances are generated with varying sizes. Based on these instances, three case studies are created to evaluate the system with and without the collaboration. For the case studies, a GRASP-ILS metaheuristic implementation is also developed to improve the solution quality obtained by the model and to create starting solutions for the warm-up start procedures. It is shown that around 96% of the food donated can be rescued on average with the logistics collaboration. Furthermore, it is concluded that the model with collaboration outperforms the model without collaboration in terms of the objective function value of the best solutions and also in terms of the amount of rescued donations.