This dissertation is a contribution to the analysis and configuration of distribution models for the parcel delivery to the end customer. The main focus lies on the Business to Consumer (B-to-C) sector, which in many ways has similarities to the parcel delivery in the Consumer to Consumer sector.The main problem of the conventional parcel delivery in the B-to-C sector is that it is uncomfortable and cost-intensive. Absence of the recipient at the time of parcel delivery results in additional cost and effort for the parcel service as well as the end customer.An analysis of already existing papers about distribution logistics in the B-to-C sector shows that the two criteria return shipments and customer orientation are generally disregarded. A holistic evaluation of existing distribution models in the B-to-C sector including an analysis of whether they satisfy customer needs could not be found.Therefore the aim is to develop a structured procedure to analyse and evaluate distribution models. Hereby the model optimally balancing efficiency, service level and customer needs for a specific target group can be determined.This evaluation of distribution models consists of several steps. It starts with the qualitative analysis of the different service features, e.g. comfortable parcel reception, payment options etc. In the next step the costs of the parcel delivery are calculated. The basis for this is key figures consisting of the configuration factors, factors of success and influencing factors of distribution models. The developed calculation model also takes into account regional differences like population density and journey length for the deliverer of the parcel. Information about customer needs was derived from a trend analysis that was conducted especially for this dissertation. Based on the results of the trend analysis model it was possible to define related target groups. Finally a method was developed to assign a service score to each model. This service score indicates to what extent a model can fulfil delivery service requirements of the customers. Together these different evaluation methods provide a holistic analysis of distribution models.Based on the PUSH-PULL principle of the production engineering different new distribution models have been defined. In this case “pull principle” means that the customer defines the time of delivery. Via the exemplary analysis of five new models a standard procedure to evaluate distribution models is then developed. This consists of three modules: model definition, model evaluation and cost calculation. This approach is generally geared to the steps of the traditional problem solving as it is common in the technical and engineering field. Finally a prototype for a possible software tool is created that shall support the execution of such a model analysis.Advantages for the model evaluation are the structured and guided procedure as well as transparent results. With this also the processes and work packages for a model evaluation will be lean, more efficient and therefore more economical. For the logistic supplier a higher fulfilment of customer needs provides a unique selling point compared to competitors. And as distribution models can be clearly orientated on certain target groups higher gains can be expected.