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Open Access research that power business decision making...

Strathprints makes available scholarly Open Access research by the Department of Management Science. This includes research that seeks to develop theory, solution methods and algorithms for confronting solving optimisation and predictive analytics problems arising from real-world situations, such as those arising in manufacturing, logistics, health and energy.

Management Science also explores the application of management science within healthcare organisations, the deployment of data analytics in the creation of risk-based decision support systems, and supply chain risk management.

Explore research outputs by Management Science -- or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2021 | 2019 | 2018 | 2017
Number of items: 12.

2021

Khan, Shahroz and Kaklis, Panagiotis (2021) From regional sensitivity to intra-sensitivity for parametric analysis of free-form shapes : application to ship design. Advanced Engineering Informatics, 49. 101314. ISSN 1474-0346

Masood, Zahid and Khan, Shahroz and Qian, Li (2021) Machine learning-based surrogate model for accelerating simulation-driven optimisation of hydropower Kaplan turbine. Renewable Energy, 173. pp. 827-848. ISSN 0960-1481

Lazakis, Iraklis and Khan, Shahroz (2021) An optimisation framework for daily route planning and scheduling of maintenance vessel activities in offshore wind farms. Ocean Engineering. ISSN 0029-8018 (In Press)

Khan, Shahroz and Serani, Andrea and Diez, Matteo and Kaklis, Panagiotis; (2021) Physics-informed feature-to-feature learning for design-space dimensionality reduction in shape optimisation. In: AIAA Scitech 2021 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, Reston, VA.. ISBN 9781624106095

2019

Gunpinar, Erkan and Khan, Shahroz (2019) A multi-criteria based selection method using non-dominated sorting for genetic algorithm based design. Optimization and Engineering. ISSN 1389-4420

Khan, Shahroz and Gunpinar, Erkan and Sener, Bekir (2019) GenYacht : an interactive generative design system for computer-aided yacht hull design. Ocean Engineering, 191. 106462. ISSN 0029-8018

Khan, Shahroz and Gunpinar, Erkan and Moriguchi, Masaki and Suzuki, Hiromasa (2019) Evolving a psycho-physical distance metric for generative design exploration of diverse shapes. Journal of Mechanical Design, 141 (11). 111101. ISSN 1050-0472

Celik, C. and Danisman, D.B. and Kaklis, P. and Khan, S.; Georgiev, Petar and Soares, Carlos Guedes, eds. (2019) An investigation into the effect of the hull vane on the ship resistance in OpenFOAM. In: Sustainable Development and Innovations in Marine Technologies. CRC Press, London, pp. 136-141. ISBN 9780367810085

2018

Khan, Shahroz and Awan, Muhammad Junaid (2018) A generative design technique for exploring shape variations. Advanced Engineering Informatics, 38. pp. 712-724. ISSN 1474-0346

Khan, Shahroz and Gunpinar, Erkan (2018) Sampling CAD models via an extended teaching–learning-based optimization technique. Computer-Aided Design, 100. pp. 52-67. ISSN 0010-4485

2017

Khan, Shahroz and Gunpinar, Erkan (2017) An extended latin hypercube sampling approach for CAD model generation. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, 18 (2). pp. 301-314. ISSN 1302-3160

Khan, Shahroz and Gunpinar, Erkan and Dogan, Kemal Mert (2017) A novel design framework for generation and parametric modification of yacht hull surfaces. Ocean Engineering, 136. pp. 243-259. ISSN 0029-8018

This list was generated on Tue Aug 3 15:20:02 2021 BST.