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Making the case for additive manufacturing: A review of cost models

Lamei, Zohreh
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2020-05-01
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Lamei, Z. 2020. Making the case for additive manufacturing: A review of cost models -- In Proceedings: 16th Annual Symposium on Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University, p.44
Abstract
Additive manufacturing (AM) is an emerging manufacturing method by which computer aided design models are directly made into products and structures. Layers of material, such as polymers, metals, ceramics, composites and rubber, are formed and joined together layer by layer to construct the product. Since its introduction in 1980s, the technology has evolved from the confines of rapid prototyping to the realm of manufacturing. Nowadays, with contributions from material scientists, software and hardware engineers, the technology can construct fully functional products. Additive manufacturing allows engineers to explore innovative design ideas without the restrictions imposed by traditional manufacturing methods. It has been utilized in many industry subsectors including aerospace, automotive, machinery, electronics and medical products. However, cost is an important factor in utilizing this technology. In this paper, we review models for calculating the cost of manufacturing products by utilizing the AM technology and discuss the pros and cons of each model. Cost models have been classified into two fundamentally different groups. One group involves partial utilization of the Additive manufacturing technology, and its economic effectiveness compared to traditional manufacturing methods. The other involves full utilization of the technology, accounts for its unique capabilities and anticipated benefits. We discuss cost elements and advise the use of a cost-benefit analysis in making the case for Additive manufacturing and its economic effectiveness. We offer directions for future research.
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Presented to the 16th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held online, Wichita State University, May 1, 2020.
Research completed in the Department of Industrial, Systems, and Manufacturing Engineering, College of Engineering
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Wichita State University
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GRASP
v. 16
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