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ABC model for cost estimation of custom implants by Additive Manufacturing
Zaineb Hameed Neamah1, Luma A H Al-Kindi1, Ghassan Al-Kindi2
1Department of Production Engineering and Metallurgy, University of Technology, Baghdad, Iraq.
Plos One
|May 29, 2024
Summary
A new mathematical model estimates the cost of manufacturing using Additive Manufacturing (AM), considering pre-processing, processing, and post-processing costs. This model, applied to custom medical implants, aids in financial resource assessment and profitability.
Area of Science:
- Manufacturing Engineering
- Materials Science
- Biomedical Engineering
Background:
- Computer-aided design (CAD) enables direct conversion of models to products via Additive Manufacturing (AM).
- AM involves layering materials like polymers, metals, and ceramics, but cost-effectiveness requires careful consideration.
- Accurate cost estimation is crucial for the competitiveness of AM, especially for custom applications like medical implants.
Purpose of the Study:
- To develop a simplified mathematical cost model for Additive Manufacturing (AM).
- To validate the model by estimating the manufacturing cost of custom medical implants.
- To provide a tool for accurate cost calculation, pricing, and profitability enhancement in AM.
Main Methods:
- Development of a simplified mathematical cost model incorporating pre-processing, main processing, and post-processing expenses.
- Application of an Activity-Based Costing (ABC) approach to assign cost drivers to activities.
- Validation through a case study estimating the manufacturing cost of a metal finger phalange implant using AM.
Main Results:
- The developed mathematical model accurately estimates the cost of AM processes.
- The model successfully estimated the manufacturing cost for a custom metal medical implant.
- The proposed model aids in assigning costs, allocating overheads, and establishing selling prices.
Conclusions:
- The simplified mathematical cost model effectively estimates production costs for parts manufactured using AM.
- The model is particularly beneficial for custom implant manufacturing, enhancing financial resource assessment.
- The developed model can be adapted for various AM applications, improving cost accuracy and profitability.

