Due to restricted budgets of relief organizations, costs of hiring transportation service providers steer distribution decisions and limit the impact of disaster relief. To improve the success of future humanitarian operations, it is of paramount importance to understand this relationship in detail and to identify mitigation actions, always considering the interdependencies between multiple independent actors in humanitarian logistics. In this paper, we develop a game-theoretic model in order to investigate the influence of transportation costs on distribution decisions in long-term relief operations and to evaluate measures for improving the fulfillment of beneficiary needs. The equilibrium of the model is a Generalized Nash Equilibrium, which has had few applications in the supply chain context to date. We formulate it, utilizing the construct of a Variational Equilibrium, as a Variational Inequality and perform numerical simulations in order to study the effects of three interventions: an increase in carrier competition, a reduction of transportation costs and an extension of framework agreements. The results yield important implications for policy makers and humanitarian organizations (HOs). Increasing the number of preselected carriers strengthens the bargaining power of HOs and improves impact up to a certain limit. The limit is reached when carriers set framework rates equal to transportation unit costs. Reductions of transportation costs have a consistently positive, but decreasing marginal benefit without any upper bound. They provide the highest benefit when the bargaining power of HOs is weak. On the contrary, extending framework agreements enables most improvements when the bargaining power of HOs is strong.

Logistics outsourcing has been applied in practices by enterprises for decades, but its efficiency is always restricted because logistics service providers (LSPs) often only have a single function such as delivery or warehousing. In the last few years, LSPs have upgraded their capabilities to support some other logistics services including value-added services, materials management, information-related services etc. The purpose of this thesis is to identify the differences between self-built logistics system and outsourcing logistics system by using the Strengths Weaknesses Opportunities Threats (SWOT) strategic analysis; and figure out how to apply the Analytic Hierarchy Process (AHP) to make an appropriate selection among LSPs that based on the single-case study of Gevalia. Both quantitative and qualitative methods have been used in this study, authors expect to describe and explore the application of AHP approach regarding to the case company which implements outsourcing logistics system. Accordingly, it could be a good idea for case company to implement the mixed mode of self-built and outsourcing logistics system after using the SWOT strategic analysis. In addition, the production and logistics manager of case company emphasized that the five selection criteria including “compatibility”, “delivery performance”, “location”, “management” and “cost” should be considered as a priority among other different criterion when he selected a LSP. As a result, it will be efficient and effective for us to simulate a best decision for those industrial manufacturing enterprises to achieve a path regarding to the selection of the best logistics partner that based on the significant AHP approach.

Diploma thesis aims at description and critical evaluation of current logistics processes in the wholesale warehouse to propose to their rationalization. Furthermore, the thesis is to evaluate whether it is favorable for the wholesale warehouse to transport through insourcing or outsourcig. In the theoretical part is defined as logistics, its objectives, subjects and selected methods. It is described logistics chain and distribution structure of the logistics chain. In conclusion, as compared to the theoretical advantages and disadvantages of outsourcing.