INTELLIGENT DECISION-MAKING FOR ENERGY AND ECONOMIC EFFICIENCY OF INNOVATIVE MANUFACTURING PROCESSES BASED ON MULTI-ATTRIBUTE KEY PERFORMANCE INDICATORS
- 1 Institute of Machine Tool and Control Engineering, Technical University of Dresden, Dresden, Germany
Production planning for the replacement of conventional manufacturing systems by new automated process chains is a com- plex activity particularly when it comes to choosing the right processes, materials and technologies. Nowadays those new process chains have to fulfil constraints such as low energy consumption and have to be resource-efficient and cost-efficient at the same time. The decision- making process can be a difficult task for authorities especially when the uncertainty of the input parameter has to be taken into account, such as prices for electricity, raw materials and lot sizes. This paper proposes a new decision-making model based on multidimensional key performance indicators (KPIs) that represent an economic and environmental objective as well as a performance objective.