With a growing emphasis on environmentally friendly manufacturing, the evaluation of the environmental performance of additive manufacturing (AM) processes has gained attention. Life cycle assessment (LCA) is an important tool to compute the environmental impacts of AM processes. LCA studies of AM processes require life cycle inventory (LCI) data in the form of natural resources, energy consumed, and wastes and emissions associated with these processes. This chapter collects and summarizes the LCI data for different AM processes from the existing literature. It is observed that AM processes in general have higher energy demand than the conventional manufacturing processes. However, the better material utilization of the AM processes, particularly in manufacturing complex shapes, can make them more sustainable in comparison with the conventional manufacturing (CM) processes. The LCI data presented in this chapter can be useful to the manufacturers, researchers, and LCA practitioners in performing LCAs of AM processes and choosing the most sustainable process.

Original languageEnglish
Title of host publicationQuality Innovation and Sustainability
Subtitle of host publication3rd ICQIS, Aveiro University, Portugal, May 3-4, 2022
EditorsJoão Carlos de Oliveira Matias, Carina Maria Oliveira Pimentel, João Carlos Gonçalves dos Reis, Joana Maria Costa Martins das Dores, Gilberto Santos
Place of PublicationCham
Number of pages10
ISBN (Electronic)978-3-031-12914-8
ISBN (Print)978-3-031-12913-1
Publication statusPublished - 17 Jan 2023
Event3rd International Conference on Quality Innovation and Sustainability, ICQIS 2022 - Aveiro, Portugal
Duration: 3 May 20224 May 2022

Publication series

NameSpringer Proceedings in Business and Economics
ISSN (Print)2198-7246
ISSN (Electronic)2198-7254


Conference3rd International Conference on Quality Innovation and Sustainability, ICQIS 2022


  • Additive manufacturing
  • Life cycle assessment
  • Life cycle inventory


Dive into the research topics of 'Life Cycle Inventory of Additive Manufacturing Processes: A Review'. Together they form a unique fingerprint.

Cite this