TY - CHAP A1 - Kellner, Florian A1 - Otto, Andreas A1 - Busch, Andreas ED - Ivanov, Dimitri ED - Sokolov, Boris ED - Käschel, Joachim T1 - Distribution Networks - Rigid Investments In Dynamic Environments T2 - Flexibility and adaptability of global supply chains - Proceedings of the 7th German-Russian Logistics Workshop (DR-LOG 2012) Y1 - 2012 SP - 103 EP - 111 ER - TY - JOUR A1 - Kellner, Florian A1 - Otto, Andreas A1 - Busch, Andreas T1 - Understanding the robustness of optimal FMCG distribution networks JF - Logistics Research N2 - Distribution network design is about recommending long-term network structures in an environment where logistic variables like transportation costs or retailer order sizes dynamically change over time. The challenge for management is to recommend an optimal network configuration that will allow for longer term optimal results despite of environmental turbulences. This paper studies the robustness of cost-optimized FMCG (fast-moving consumer goods) distribution networks. It aims at observing the impact of changing variables/conditions on optimized logistic structures in terms of the optimal number and geographical locations of existing distribution centers. Five variables have been identified as relevant to the network structure. A case study approach is applied to study the robustness of an existing, typical, and optimized FMCG network. First, distribution network data of a German manufacturer of FMCG are recorded and analyzed. A quantitative model is set up to reflect the actual cost structure. Second, a cost optimal network configuration is determined as a benchmark for further analysis. Third, the variables investigated are altered to represent changes, both isolated (ceteris paribus) and in combination (scenario analysis). Each one of the variables investigated proves to be fundamentally able to suggest a change of the optimal network structure. However, the scenario analysis indicates that the expected changes will by and large compensate each other, leaving the network in near optimal condition over an extended period of time. KW - Distribution logistics; Retailing logistics; Fast-moving consumer goods (FMCG); Distribution network analysis; Facility location Y1 - 2012 U6 - https://doi.org/10.1007/s12159-012-0097-6 VL - 6 IS - 4 SP - 173 EP - 185 ER -