TY - JOUR A1 - Kellner, Florian A1 - Otto, Andreas T1 - Allocating CO2 emissions to shipments in road freight transportation JF - Journal of Management Control N2 - Logistic activity, in particular transportation, produces green house gases (GHG). For different purposes GHG need to be allocated to objects. This paper studies how to allocate the GHG volume of a transportation process (delivery tour) to the single shipments moved by the process. First, it identifies classes of generic allocation schemes and presents 15 allocation methods. Second, since the majority of these methods has not been designed for allocating GHG, we apply and compare them in the short distance transport context within a numerical example. The aim is to study how the schemes perform according to criteria. We suggest using causality, efficiency, empty core robustness, symmetry, individual rationality, coalition stability, ease of application, and set robustness as appraisal criteria and attempt to mainstream the discussion by recommending selected allocation methods. KW - CO2/GHG allocation KW - Emissions from road freight transportation KW - CO2/GHG emission drivers KW - Emission/CO2/GHG shipment allocation Y1 - 2012 U6 - https://doi.org/10.1007/s00187-011-0143-6 VL - 22 IS - 4 SP - 451 EP - 479 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 -