Application of advanced methods for the prognosis of production energy consumption

Abstract

Abstract. This paper, based on a current research project, describes the application of advanced methods that are frequently used in fault-tolerance control and addresses the issue of the prognosis of energy efficiency. Today, the energy a product requires during its operation is the subject of many activities in research and development. However, the energy necessary for the production of goods is very often not analysed in comparable depth. In the field of electronics, studies come to the conclusion that about 80% of the total energy used by a product is from its production [1]. The energy consumption in production is determined very early in the product development process by designers and engineers, for example through selection of raw materials, explicit and implicit requirements concerning the manufacturing and assembly processes, or through decisions concerning the product architecture. Today, developers and engineers have at their disposal manifold design and simulation tools which can help to predict the energy consumption during operation relatively accurately. In contrast, tools with the objective to predict the energy consumption in production and disposal are not available. This paper aims to present an explorative study of the use of methods such as Fuzzy Logic to predict the production energy consumption early in the product development process.