About the Project
• How data driven decision making can result in more efficient adoption of 3D Printing among companies active in MedTech industry in Australia?
• How data driven decision making can result in encouraging entrepreneurial entry of new comers to the MedTech industry through adoption of 3D Printing as a production method?
3D Printing offers a novel way of producing patient-specific medical devices (such as implants). However, there is no clear decision making tools for companies to decide, under various circumstances, whether 3D Printing is more cost-effect and more clinically-effective way of producing a medical devise in compare with traditional production methods or not. Examples of various circumstances that affect the decision making of the companies are the part of the body, risk category of the product, product material, and the specific technology of 3D Printing. Effective and efficient data driven decision-making models are needed to improve the efficiency of such decision making for companies, by systematically modelling various circumstances that affect the decision making of both established and new companies.
This project will generate innovative solutions to promote efficiency of the adaption of 3D Printing technologies in MedTech industry. The decision support tools are developed that can be calibrated to production system in MedTech industry and can be used by companies’ decision makers as well policy makers at different levels of government.
Proposed Postgraduate Research ProgrammeSchool: School of Management
Program name: PhD (Management)
Course code: DR204 Enabling Capability Platform (ECP)
Alignment : Global Business Innovation
Supervisory TeamDr Sam Tavassoli Contact: [email protected]
A/Professor Babak Abbasi Contact: [email protected]
Academic ContactHDR Coordinator, Dr Cameron Duff - [email protected]
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