Analysis and Modeling of Reverse Logistics Network

Today reverse logistics flows are the main research interest due to opportunity to reduce company costs. This paper illustrates the methods of modeling reverse logistics network on the example of company X reverse chain. Reverse logistics can provide the way to impact on customers loyalty and reduce ecology problems. For better understanding of the processes of reverse logistics it can be build the model that reflects the possible alternatives of situation developing. Study will describe the various modeling methods, including evolutionary modeling, genetic modeling, simulation modeling, stochastic modeling, multi-objective modeling, which can be combined and used as hybrid modeling. The main aim of the research to minimize costs and maximize the profit in according with the ecological problems. Study will be based on hybrid modeling method, which will include simulation, stochastic and generic models. Reverse logistics is a way to closed-loop supply chain. This study can be used in next research works for design the whole supply chain and analyze scenario alternatives. This study can be used as a basis for further study of return logistics as well as an example of improved return flows management in practice. The paper will include the abstract, introduction, literature review, methodology, anticipated results, conclusion and references.