KSI - RE:PLAN
Simulation games for the disclosure of corporate energy and ressource efficiency measures
The KSI project is focused on the development, testing and dissemination of organization simulations in different fields of possible resource efficiency measures. These simulations are addressed to decision-makers in producing industries. The participants of the simulations run through typical situations in companies, e.g. in order to find potentials for efficiency enhancements, to develop appropriate measures and its communication and implementation in companies. These simulations in terms of management or role-playing games investigating concrete example companies or production processes are offered as advanced training measures for employees through appropriate networks.
Main goal is an efficient energy and material use and thus to reach direct and indirect saving of greenhouse gas emissions (GHG). By using concrete examples the player gets to know typical situations likely to arise in practice and suitable implementation concepts will be worked out within the game. The player has to simulate operational processes and the technical system including all resource consumptions and GHG emissions and to quantify the results. Important experiences are the social interaction within the game, the learning effects and the contributions to solving different conflicts of objectives and further the direct transferability of the methods - used within the simulation - to the own company. With the aid of the simulations it is aspired to establish a “Resource Efficiency Awareness” and to strengthen the decision-making competence and action by the operational decision-makers in the production.
The training program thus provides specific knowledge in the field of resource efficiency directly at the interface between management and production in order to remove barriers and to initiate innovation processes. This results in an employee qualification and a long-term behavioral change in the company which also leads to a saving of GHG by implementing different resource efficiency measures.
2016 - 2019