Dr Bugra Alkan


NameDr Bugra Alkan
Job titleLecturer in Artificial Intelligence - Secure Systems
Organisational UnitComputer Science and Informatics
ORCIDhttps://orcid.org/0000-0002-5994-4351

Research outputs

A novel data-driven approach to support decision-making during production scale-up of assembly systems

Alkan, B. (2021). A novel data-driven approach to support decision-making during production scale-up of assembly systems. Journal of Manufacturing Systems. 59, pp. 577-595. https://doi.org/10.1016/j.jmsy.2021.03.018

Identifying Optimal Granularity Level of Modular Assembly Supply Chains based on Complexity-Modularity Trade-off

Alkan, B., Bullock, S. and Galvin, K. (2021). Identifying Optimal Granularity Level of Modular Assembly Supply Chains based on Complexity-Modularity Trade-off. IEEE Access. 9, pp. 57907 - 57921. https://doi.org/10.1109/access.2021.3072955

Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off

Alkan, B., Bullock, S. and Galvin, K. (2021). Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off. IEEE Access. 9, pp. 57907 - 57921. https://doi.org/10.1109/ACCESS.2021.3072955

A Design Process Framework to Deal with Non-functional Requirements in Conceptual System Designs

Alkan, B., Seth, B., Galvin, K. and Johnson, A. (2020). A Design Process Framework to Deal with Non-functional Requirements in Conceptual System Designs. Complex Systems Design & Management. Paris 15 - 17 Dec 2020

Improving just-in-time delivery performance of IoT-enabled flexible manufacturing systems with AGV based material transportation

Yao, F, Alkan, B, Ahmad, B and Harrison, R (2020). Improving just-in-time delivery performance of IoT-enabled flexible manufacturing systems with AGV based material transportation. Sensors (Switzerland). 20 (21), pp. 1-25. https://doi.org/10.3390/s20216333

Assessing operational complexity of manufacturing systems based on algorithmic complexity of key performance indicator time-series

Alkan, B. and Bullock, S. (2020). Assessing operational complexity of manufacturing systems based on algorithmic complexity of key performance indicator time-series. Journal of the Operational Research Society. https://doi.org/10.1080/01605682.2020.1779622

A virtual engineering based approach to verify structural complexity of component-based automation systems in early design phase

Alkan, B. and Harrison, R. (2019). A virtual engineering based approach to verify structural complexity of component-based automation systems in early design phase. Journal of Manufacturing Systems. 53, pp. 18-31. https://doi.org/10.1016/j.jmsy.2019.09.001

An experimental investigation on the relationship between perceived assembly complexity and product design complexity

Alkan, B. (2019). An experimental investigation on the relationship between perceived assembly complexity and product design complexity. International Journal on Interactive Design and Manufacturing (IJIDeM). 13 (3), pp. 1145-1157. https://doi.org/10.1007/s12008-019-00556-9

A framework to predict energy related key performance indicators of manufacturing systems at early design phase

Assad, F, Alkan, B, Chinnathai, MK, Ahmad, MH, Rushforth, EJ and Harrison, R (2019). A framework to predict energy related key performance indicators of manufacturing systems at early design phase. Procedia CIRP. 81, pp. 145-150. https://doi.org/10.1016/j.procir.2019.03.026

A Framework for Pilot Line Scale-up using Digital Manufacturing

Chinnathai, M. K., Al-Mowafy, Z., Alkan, B., Vera, D. and Harrison, R. (2019). A Framework for Pilot Line Scale-up using Digital Manufacturing. Procedia CIRP. 81, pp. 962-967. https://doi.org/10.1016/j.procir.2019.03.235

Pilot To Full-Scale Production: A Battery Module Assembly Case Study

Chinnathai, M.K., Alkan, B., Vera, D. and Harrison, R. (2018). Pilot To Full-Scale Production: A Battery Module Assembly Case Study. Procedia CIRP. 72, pp. 796-801. https://doi.org/10.1016/j.procir.2018.03.194

Proposing a Holistic Framework for the Assessment and Management of Manufacturing Complexity through Data-centric and Human-centric Approaches

Alkan, B. (2018). Proposing a Holistic Framework for the Assessment and Management of Manufacturing Complexity through Data-centric and Human-centric Approaches. Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk (COMPLEXIS 2018).

A method to assess assembly complexity of industrial products in early design phase

Alkan, B., Vera, D., Ahmad, B. and Harrison, R. (2017). A method to assess assembly complexity of industrial products in early design phase. IEEE Access. 6, pp. 989-999. https://doi.org/10.1109/ACCESS.2017.2777406

Assessing Complexity of Component-Based Control Architectures Used in Modular Automation Systems

Alkan, B., Vera, D., Chinnathai, M. K. and Harrison, R. (2017). Assessing Complexity of Component-Based Control Architectures Used in Modular Automation Systems . International Journal of Computer and Electrical Engineering . 9 (1). https://doi.org/10.17706/ijcee.2017.9.1.393-402

Convertibility Evaluation of Automated Assembly System Designs for High Variety Production

Chinnathai, M.K., Alkan, B. and Harrison, R. (2017). Convertibility Evaluation of Automated Assembly System Designs for High Variety Production. Elsevier BV. https://doi.org/10.1016/j.procir.2017.01.005

Hydrogen Fuel Cell Pick and Place Assembly Systems: Heuristic Evaluation of Reconfigurability and Suitability

Ahmad, M., Ahmad, B., Alkan, B., Vera, D., Harrison, R., Meredith, J. and Bindel, A. (2016). Hydrogen Fuel Cell Pick and Place Assembly Systems: Heuristic Evaluation of Reconfigurability and Suitability. Procedia CIRP. 57, pp. 428-433. https://doi.org/10.1016/j.procir.2016.11.074

A Framework for Automatically Realizing Assembly Sequence Changes in a Virtual Manufacturing Environment

Ahmad, M, Ahmad, B, Harrison, R, Alkan, B, Vera, D, Meredith, J and Bindel, A (2016). A Framework for Automatically Realizing Assembly Sequence Changes in a Virtual Manufacturing Environment. Elsevier BV. https://doi.org/10.1016/j.procir.2016.04.178

Design Evaluation of Automated Manufacturing Processes Based on Complexity of Control Logic

Alkan, B., Vera, D., Ahmad, M., Ahmad, B. and Harrison, R. (2016). Design Evaluation of Automated Manufacturing Processes Based on Complexity of Control Logic. Procedia CIRP. 50, pp. 141-146. https://doi.org/10.1016/j.procir.2016.05.031

The Use of a Complexity Model to Facilitate in the Selection of a Fuel Cell Assembly Sequence

Ahmad, M., Alkan, B., Ahman, B., Vera, D., Harrison, R., Meredith, J. and Bindel, A. (2016). The Use of a Complexity Model to Facilitate in the Selection of a Fuel Cell Assembly Sequence. Procedia CIRP. 44, pp. 169-174. https://doi.org/10.1016/j.procir.2016.02.054

A Lightweight Approach for Human Factor Assessment in Virtual Assembly Designs: An Evaluation Model for Postural Risk and Metabolic Workload

Alkan, B, Vera, D, Ahmad, M, Ahmad, B and Harrison, R (2016). A Lightweight Approach for Human Factor Assessment in Virtual Assembly Designs: An Evaluation Model for Postural Risk and Metabolic Workload. Elsevier BV. https://doi.org/10.1016/j.procir.2016.02.115

A Model for Complexity Assessment in Manual Assembly Operations Through Predetermined Motion Time Systems

Alkan, B, Vera, D, Ahmad, M, Ahmad, B and Harrison, R (2016). A Model for Complexity Assessment in Manual Assembly Operations Through Predetermined Motion Time Systems. Procedia CIRP. 44, pp. 429-434. https://doi.org/10.1016/j.procir.2016.02.111
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