modeling

The global community is currently experiencing many disasters requiring humanitarian aid not only for ethical reasons. This concerns natural disasters, but also man-made disasters such as war, terrorist attacks and nuclear disasters. Humanitarian aid is generally understood as a response to humanitarian emergencies, which goes beyond an initial support. Key elements of humanitarian aid are disaster management and humanitarian logistics, which operate as organizational principles in order to coordinate the supply of food, goods and emergency rescue workers. Due to the high dynamics and limited information transparency it is very difficult for the responsible persons to mitigate the plight as effectively as possible. A good method to develop effective disaster risk management strategies and decision-making mechanisms is the use of model-based planning and control approaches. This article discusses the current modeling challenges of humanitarian aid scenarios as well as the potential of ...

Changeability is the capability of an organization to establish changes with a lasting effect. The possibility to correctly plan and create changeability of an organization already in the phase of plan-ning is an essential factor to be taken into account when considering changeable logistics systems. For this reason there is a need for conceptual change of established planning methods. In the context of discrete-event simulation, as an established planning method, the modular design of simulation models may be a first step to include changeability into model-based analysis. Against this background, This article discusses possibilities to build modular simulation models and shows how this modular design can be used in practice.

In an increasingly turbulent environment, today enterprises are confronted with the challenge of aligning available capacities with the capacities required using targeted measures. An approach is presented to support the selection of measures quantitatively.

This article describes an opportunity to model actors and systems in various business processes into an overall model by using the technique of networking. To achieve this goal, an algorithm is introduced. Next, different metrics based on social network analysis, are described. These metrics are able to expose parts of the network which have a huge utilization and therefore the underlying process itself. With this technique it is possible for project leaders, managers and decision makers to analyze the processes for flaws, finding out capacities and to build new project teams together (staffing).