Method for the Integration of Computer Aided Manufacturing Data in Life Cycle Assessment
Year: 2023
Editor: Kevin Otto, Boris Eisenbart, Claudia Eckert, Benoit Eynard, Dieter Krause, Josef Oehmen, Nad
Author: Quernheim, Niklas; Winter, Sven; Arnemann, Lars; Schleich, Benjamin
Series: ICED
Institution: Product Life Cycle Management, TU Darmstadt
Section: Design Methods
Page(s): 2635-2644
DOI number: https://doi.org/10.1017/pds.2023.264
ISBN: -
ISSN: -
Abstract
Precise sustainability assessment becomes increasingly important in decision-making, marketing, and regulations. Therefore, reliable and comparable LCA becomes mandatory. Currently, primary data is rarely available due to vastly complex value chains. Secondary data from eco-databases provide a remedy to estimate the sustainability impacts of up- and downstream processes. While giving insights and estimations, this data is seldom fitting exactly to the own processes and lacks comparability. Therefore, this paper proposes a method to close the gap between unreliable secondary data and unavailable primary data. This gap is to be closed by the integration of simulated process data. CAM is a tool during the work preparation to assess the design’s manufacturability, decrease set-up times and optimize the NC code. However, integrating DES into LCA is still subject to research and will be discussed in this paper. This paper answers the question of the necessary steps to integrate the simulated production process in an LCA to increase the quality and reliability of sustainability indicators. A method is presented, and the implementation of the steps with the help of a developed assistance system on an example is performed.
Keywords: Life Cycle Assessment, Decision making, Computer Aided Manufacturing, Sustainability, Simulation