Open AccessAnalyzing the cost drivers and process optimization in additive manufacturing
Author(s) -
R. Pushparaj,
S. Aravind Raj,
Jayakrishna Kandasamy,
R. Vezhavendhan
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/561/1/012062
Subject(s) - manufacturing cost , manufacturing engineering , process (computing) , production cost , product (mathematics) , computer science , cost driver , manufacturing process , production (economics) , computer integrated manufacturing , engineering , business , mathematics , mechanical engineering , materials science , composite material , operating system , geometry , marketing , economics , macroeconomics
The cost involved in certain additive manufacturing processes is comparatively higher than traditional manufacturing. When the cost of additive manufacturing process is optimized, it will enable manufacturers to deploy the technology as an alternative for traditional manufacturing. Product life cycle analysis gives better understanding about the cost drivers in additive manufacturing. A better understanding of the cost drivers in additive manufacturing tends to optimize the parameters involved in the process. The difference in cost drivers can be compared before and after the implementation of cost optimization techniques by comparing the variation of cost drivers between standard and optimized production. In this study the cost drivers associated with additive manufacturing are analysed and optimized.