Faster, Cheaper, Better: Mathematical Advances for Improved Design and Scheduling of Robotic Instrumentation

Grant number: LP140101063 | Funding period: 2017 - 2018

Completed

Abstract

This project extends previous research addressing mathematical challenges in the optimal design and scheduling of robotic instrumentation. The Partner Organisation manufactures instruments for cancer diagnostics, and designs instruments that need to produce rapid, high-quality results, at a reasonable cost in a competitive market. It is intended that powerful new scheduling algorithms will be devised to handle their complex problem, which is more challenging than standard problems. The developed methodologies aim to reduce the product development cycle and boost the competitiveness of Australian manufacturers. In addition, new theoretical and algorithmic contributions aim to enable improved ..

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University of Melbourne Researchers