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Paul R. Drake

Researcher at University of Liverpool

Publications -  37
Citations -  1790

Paul R. Drake is an academic researcher from University of Liverpool. The author has contributed to research in topics: Artificial neural network & Genetic algorithm. The author has an hindex of 19, co-authored 36 publications receiving 1587 citations. Previous affiliations of Paul R. Drake include Cardiff University.

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PSO-based algorithm for home care worker scheduling in the UK

TL;DR: The objectives of this paper are to exploit a systematic approach to improve the existing schedule of home care workers, and to develop the methodology to enable the continuous PSO algorithm to be efficiently applied to this type of problem and all classes of similar problems.
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Exploring the role of social capital in facilitating supply chain resilience

TL;DR: In this paper, three dimensions of social capital (cognitive, structural and relational) may act as facilitators or enablers of the four formative capabilities for resilience (i.e. flexibility, velocity, visibility, and collaboration).
Book

Condition-based maintenance and machine diagnostics

TL;DR: In this paper, the authors present a survey of condition-based maintenance information systems in the manufacturing domain, focusing on the aspects of maintenance, including basic diagnostic techniques, vibration monitoring, and particle monitoring.
Journal Article

Using the Analytic Hierarchy Process in Engineering Education

TL;DR: The Analytic Hierarchy Process (AHP) as discussed by the authors was introduced into undergraduate and postgraduate student projects to formalise the process of selection of "hard" and "soft" system components.
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A portfolio model for component purchasing strategy and the case study of two South Korean elevator manufacturers

TL;DR: In this paper, a new approach to purchasing portfolio modelling, stemming from Kraljic's matrix, for developing purchasing strategies that are aligned with competitive priorities, is developed to address the weaknesses of existing approaches that are preventing widespread application, especially in SMEs.