Integrated model-based description of cause-effect relationships in intra-company supply chains

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The holistic examination of logistical objectives is an integral approach of the configuration, planning, control and analysis of internal supply chains. On the one hand cause-effect relationships between logistic objectives of single processes in an internal supply chain have to be quantitatively described, in order to uncover conflicts between these objectives. On the other hand dependencies between processes of an internal supply chain have to be considered in the context of the configuration, planning, control and analysis of internal supply chains.One possibility to indicate and quantify cause-effect relationships in internal supply chains is constituted by logistical models. Goal of the present research project is the development of an integrated and model-based description of logistical cause-effect relationships in internal supply chains, which is based on existing as well as in research and industry well-established logistical partial models. The logistical partial models represent isolated models, because they are limited to a process-specific focus with regard to the logistical objectives. In their current developmental state a conjunction between logistical partial models is not realizable since the focuses of the partial models differ. The conjunction of logistical partial models is a critical element for an integrated and model-based description of logistical cause-effect relationships in internal supply chains. As the central result of the present research project conjunction factors and conjunction models will be developed, which allow the conjunction of different logistical partial models.The model-based description of logistical cause-effect relationships will be developed with the aim to interconnect differing and in part conflictive systems of logistical objectives of different processes in an internal supply chain. Based on model-based descriptions of logistical cause-effect relationships companies will be enabled to identify influences of planning and controlling decisions, logistical potentials of single processes as well as consequences of structural changes relating to logistical objectives of internal supply chains.