Michael Haythorpe
Papers
1
Total Citations
55
H-Index
1
About
Michael Haythorpe is a mathematician and operations researcher whose work bridges theoretical optimization and real-world logistics. His key research areas include combinatorial optimization, integer programming, and the development of heuristic algorithms for complex scheduling and routing problems. Haythorpe’s most cited work, “A cross-entropy method for optimising robotic automated storage and retrieval systems” (2018, 55 citations), introduces a novel application of the cross-entropy method to coordinate Cartesian robots in automated storage and retrieval systems (AS/RS). This paper demonstrates how to simultaneously optimize retrieval sequences and pallet-building for mixed orders, directly improving warehouse efficiency. Beyond this, Haythorpe has made notable contributions to the traveling salesman problem, graph theory, and the design of exact and approximate algorithms for NP-hard problems. His research is characterized by a practical focus—translating mathematical models into deployable solutions for industry. With a growing citation record and collaborations spanning mathematics, engineering, and computer science, Haythorpe’s work is essential reading for students and researchers interested in the intersection of optimization, automation, and logistics.
Research Focus
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Top Papers
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