| Abstract [eng] |
In the dissertation the food industry singularities are being analyzed, which consist of growing food demand and high complexity of the supply chain. The focus of the thesis is on organic food product delivery to end-consumer. During the research it was identified that the most problematic areas of the food supply chain management are related with last-mile deliveries, inaccurate demand forecasting and ineffective collaboration. To solve the problem, it is recommended to form a logistic cluster, which would guarantee information sharing between the supply chain members. The additional information can be used together with supply chain resilience approaches such as redundancy and flexibility, which would improve sustainability. Higher level of information sharing might increase the management complexity, however integration of cyber-physical systems allows to increase management efficiency. Two computer simulations based on agent-based modelling were developed in the thesis. One simulation focused on redundancy approach, which analyzed the effectiveness of collaborative demand forecasting. The second simulation focused on application of autonomous vehicles, which can adapt to the disruptions of traffic and improve delivery on time. The main result of the thesis is a management framework, which allows achieving sustainable and resilient supply chain management. |
