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Describes the country‐specific conditions and developments in Central and Eastern Europe, the risks and opportunities of sourcing in this region and the measures necessary to implement supply systems including eastern suppliers. In order to use the future capabilities of eastern companies, it will be necessary to shape long‐running, cooperative relations. Four major tasks of implementing procurement systems involving suppliers from Central and Eastern Europe can be distinguished: the establishment of an appropriate internal organization to facilitate sourcing in Central and Eastern Europe; the identification, assessment, and selection of eastern suppliers; the development of suppliers′ capabilities and performance; and the implementation of logistical and legal relationships between the buyer and the supplier necessary for the operation of the procurement system. Therefore, not only the purchase prices have to be considered in procurement decisions, but also any other related costs. Higher logistics costs and higher transaction costs are the prices which have to be paid for realizing large arbitrages caused by lower labour costs. Accordingly, the efficiency of sourcing from Central and Eastern Europe crucially depends on the ability of the western procurement managers to recognize specific conditions and to shape appropriate procurement systems. Then logistics and transaction costs will be endurable.

Discusses the growth of inter‐firm logistics networks. Inter‐firm network denotes a complex arrangement of reciprocal, cooperative rather than competitive, relationships between legally independent but economically interdependent firms. Asserts that the organisation of the inter‐firm logistics network is influenced by the organisation of the network itself. Analyses the respective requirements of the inter‐organisational logistics system. Focuses on the question of which specific logistics‐related capabilities firms operating in production networks have to develop depending on the respective network type. Presents a qualitative study of a production network of a German car manufacturer to identify organisational capabilities and describe possible systemic development.

In the German automotive industry the supplier park concept is one of the new concepts in procurement logistics, evolved in the last years. To understand the spreading of supplier parks, it is necessary to look at actual requirements in procurement logistics in the German automotive industry and find out how supplier parks can be an answer to those requirements. For this purpose it is necessary to identify indicators describing this logistics platform. The objective of this paper is the demarcation of the supplier park concept against the concept of a freight traffic center and the concept of a distribution center. Thus, suggestions for improvements of supplier parks and first impacts for new concepts in procurement logistics can be dedicated.

The approach of this paper is to develop a descriptive model of supplier parks. The description of concepts with specific indicators has to be always the first step in dealing scientifically with new concepts emerging in practice. The paper outlines the supplier park concept in the German automotive industry with these indicators. First recommendations for the practical application of this concept are made by designing the indicators. The findings of this paper are based on an empirical investigation of the years 2000‐2002.

The findings are indicators which are useful for a description and demarcation of the supplier park concept. With these indicators the supplier park concept can be characterized and demarcated against the concept of a freight traffic center and distribution center. The description model of a supplier park delivers the theoretical framework for the development of explanation and decision models.

The indicators “objectives, participant, location, formation and operation” allow one to describe the features of supplier parks. Thus, the decision field for introducing and improving the supplier park concept is found.

The aim of this paper is the structural analysis of potential supply chain risks. It will demonstrate how interpretive structural modeling (ISM) supports risk managers in identifying and understanding interdependencies among supply chain risks on different levels (e.g. 3PL, first‐tier supplier, focal company, etc.). Interdependencies among risks will be derived and structured into a hierarchy in order to derive subsystems of interdependent elements with corresponding driving power and dependency.

ISM was used to identify inter‐relationships among supply chain risks and to classify the risks according to their driving and dependence power. The theoretical findings of the modeling and the applicability for practical use has been tested in two case studies with two German industry and trade companies.

ISM was proven as a useful methodology to structure supply chain risks in an easy and distributed approach that can also be carried out in a step‐by‐step process on several manufacturing stages. The input to the algorithm has to be well‐defined to give the user an exact understanding of all risks that have to be assessed, i.e. the better the input to ISM is prepared the better the outcome and representation will be. Finally, when applying the method, a moderated process proved to be more reliable than an assessment based on paper questionnaires only.

This model's insight would assist supply chain (risk) managers in the effective allocation of risk management resources in the subsequent risk management phases.

This article shows the use of benchmarking for the spare parts logistics in the German mechanical industry (investment goods or capital goods). After pointing out the areas of benchmarking application, the use of total function deployment (TFD) for the evaluation of benchmarking metrics is explained. With TFD customer requirements on spare parts supply and the process structure of spare parts logistics are brought together in quality matrices, which are the bases for the metrics derivation. The last paragraph contains the results of a survey in the German mechanical industry. Concrete values of benchmarking metrics from the questioned companies, belonging to metrics on delivery service, costs of logistics and on materials management, are given. All theoretical and empirical results are drawn from a research project conducted in the Institute of Business Administration/Department of Business Management at Darmstadt University of Technology.

Argues that the organization for logistics often favours an aggregation of all tasks into one department. This decision presupposes an extensive analysis of important contingency factors, like product line, environmental relations, technology and organizational size. However, such contingency factors have a limited influence, and are modified by the strategy of the organization. Defines selected contingency factors, examines the organization’s overall strategy and shows how these two factors can be combined in the light of the specific requirements of the firm’s logistical task.

The purpose of this paper is to present the initial results of the Camp Performance Indicator (CPI) system to illustrate the importance of self-reliance of refugee camp dwellers with regard to infrastructure and service investments.

Data, derived from a field trip to Zaatari in autumn 2016 and thorough literature research, were taken to develop a new CPI system. The findings from the literature research were merged with available camp data to validate each other.

Self-reliance is a fundamental human right and anchored in the UN sustainable development goals. Yet, presented findings reveal that even in one of the most modern refugee camps in the world – Zaatari – the level of self-reliance is rather low. However, organisations and humanitarian logisticians can influence self-reliance by identifying clearly where challenges are.

Data from a diverse range of reports were extracted. As most of these reports lack reliable and comparative quantitative data, the limitation of the study must be taken into account. So far data were only validated on one case study. To develop the tool further, more data need to be taken into account.

To this point, there is no performance measurement tool available focusing on self-reliance of encamped refugees. In addition, no academic research has measured the interrelation between the level of investments in infrastructure and services and the improvement of the lives of camp residents, especially regarding the level of self-reliance.