Optimisation of maintenance scheduling strategies on the grid

Abstract-- The emerging paradigm of Grid Computing provides a powerful platform for the optimisation of complex computer models, such as those used to simulate real-world logistics and supply chain operations. This paper introduces a gridbased optimisation framework that provides a powerful tool for the optimisation of such computationally intensive objective functions. This framework is then used in the optimisation of maintenance scheduling strategies for fleets of aero-engines, a computationally intensive problem with a high-degree of stochastic noise.

• Type: Journal
• Year: 2010
• Where: ANOR
• Authors: Alex Shenfield, Peter J. Fleming, Visakan Kadirkamanathan, Jeff Allan
• Keywords: ANOR 2010, Gridbased Optimisation Framework, Intensive Objective Functions, Supply Chain Operations