Dr Abdolreza Roshani
Academic and research departments
Centre of Digital Economy, Centre for Business Analytics in Practice.About
Biography
Abdolreza Roshani is a Senior Lecturer (Associate Professor) in Business Analytics at ÌÇÐÄVlog Business School, where he also serves as the Program Director for the BSc in Business Management with Business Analytics. He is a member of the Centre for Business Analytics in Practice at ÌÇÐÄVlog Business School, a Fellow of the Sustainability Institute, and a Fellow of the Higher Education Academy (FHEA). His background also includes advanced research at Genova University and the Centre for Digital Economy (CoDE) within ÌÇÐÄVlog Business School, as well as time spent as a visiting scholar at Kettering University (Michigan).
Abdolreza has made significant contributions to academia, publishing in prestigious journals such as the International Journal of Production Research, Journal of Cleaner Production, Annals of Operations Research, Journal of Manufacturing Systems, International Journal of Advanced Manufacturing Technology, and International Journal of Computer Integrated Manufacturing. He is also committed to teaching a range of management and engineering modules across undergraduate and postgraduate levels. Additionally, Abdolreza works as a reviewer for many reputable academic journals and serves as an academic editor and guest editor.
He played an active role in the RAMONA Project, which aimed to develop effective techniques for detecting disruptions, analysing them accurately, and creating responsive strategies for reconfigured manufacturing. This collaborative project involved experts from the University of Warwick, the University of Reading, and the ÌÇÐÄVlog, and was funded by the EPSRC with over £1 million to enhance the resilience of additive manufacturing. The project was led by Professor Greg Gibbons from the University of Warwick, with contributions from ÌÇÐÄVlog’s Professor Glenn Parry and Dr Abdolreza Roshani.
I am currently accepting applications from prospective PhD students in the fields of Business Analytics and resilient supply chain design. Please feel free to email me your CV.
ResearchResearch interests
My research interests lie in the application of advanced optimisation and heuristic methods to complex industrial and supply chain systems. I focus on developing mathematical models and solution approaches for production planning, scheduling, and facility location problems, particularly under uncertainty and resource constraints. A key theme of my work is supply chain resilience, including reliable network design and disruption mitigation strategies. I am also interested in energy-efficient and sustainable manufacturing, integrating energy considerations into scheduling and lot-sizing decisions. In addition, I explore the use of data mining and text analytics techniques to extract insights from large-scale structured and unstructured data, supporting data-driven decision-making in smart manufacturing and supply chain environments. More recently, my research has extended to additive manufacturing systems, risk assessment, and emerging topics such as electric vehicle scheduling.
Research interests
My research interests lie in the application of advanced optimisation and heuristic methods to complex industrial and supply chain systems. I focus on developing mathematical models and solution approaches for production planning, scheduling, and facility location problems, particularly under uncertainty and resource constraints. A key theme of my work is supply chain resilience, including reliable network design and disruption mitigation strategies. I am also interested in energy-efficient and sustainable manufacturing, integrating energy considerations into scheduling and lot-sizing decisions. In addition, I explore the use of data mining and text analytics techniques to extract insights from large-scale structured and unstructured data, supporting data-driven decision-making in smart manufacturing and supply chain environments. More recently, my research has extended to additive manufacturing systems, risk assessment, and emerging topics such as electric vehicle scheduling.
Teaching
MANM528: Data Mining and Text Analytics ()
MAN2187: Simulation and Optimisation ()
MANM531: PROJECT/DISSERTATION FOR BUSINESS ANALYTICS ()
Sustainable development goals
My research interests are related to the following:
Publications
Roshani, A., Parry, G. and Walker-Davies, P., 2026. Mathematical formulations and a Relax-and-Fix heuristic algorithm for capacitated reliable fixed-charge facility location problems. Journal of Heuristics.
Lu, C., Roshani, A., Parry, G. and Emrouznejad, A., 2025. Multi-level risk assessment in additive manufacturing systems: a multiplicative nonparametric approach. International Journal of Production Research, pp.1–20.
Roshani, A., 2025. Energy-aware production planning and scheduling in a two-parallel-machine system. Proceedings of the 5th International Conference on Electrical, Computer and Energy Systems.
Roshani, A., Walker-Davies, P. and Parry, G., 2024. Designing resilient supply chain networks: a systematic literature review of mitigation strategies. Annals of Operations Research, p.28.
Roshani, A., Parry, G. and Davies, P., 2024. Supply chain resilience: capacitated reliable fixed-charge facility location problems. IET Digital Library.
Pasha, J., Li, B., Elmi, Z., Fathollahi-Fard, A.M., Lau, Y., Roshani, A. and Kawasaki, T., 2024. Electric vehicle scheduling: state of the art, critical challenges, and future research opportunities. Journal of Industrial Information Integration, 38, p.100561.
Akhgar, S., Fattahi, P., Vahedi-Nouri, B. and Roshani, A., 2024. Mathematical modeling and solving flow shop scheduling problem in a reconfigurable material handling system. Journal of Industrial Engineering Research in Production Systems.
Abdolreza, R., Parry, G. and Davies, P., 2023. Designing resilient and energy-efficient additive manufacturing enabled supply chains. IET Conference Proceedings, CP846(14), pp.10–11.
Roshani, A., Paolucci, M., Giglio, D., Demartini, M., Tonelli, F. and Dulebenets, M.A., 2023. The capacitated lot-sizing and energy efficient single machine scheduling problem with sequence dependent setup times and costs in a closed-loop supply chain network. Annals of Operations Research, 321, pp.469–505.
Singh, P., Pasha, J., Khorram-Manesh, A., Goniewicz, K. and Roshani, A., 2021. A holistic analysis of train-vehicle accidents at highway-rail grade crossings in Florida. Sustainability, 13(16), p.8842.
Ghasemi, M., Roshani, A., Muhammad Ali, P.J., Nia, F.F. and Nazemi, E., 2021. Design and construction of Zana robot for modeling human player in rock-paper-scissors game using multilayer perceptron, radial basis functions and Markov algorithms. ARO – The Scientific Journal of Koya University, 9(1).
Roshani, A., Paolucci, M., Giglio, D. and Tonelli, F., 2021. A hybrid adaptive variable neighbourhood search approach for multi-sided assembly line balancing problem to minimise the cycle time. International Journal of Production Research, 59(12), pp.3696–3721.
Roshani, A. and Esfandyari, A., 2020. Assembly line balancing problem with skilled and unskilled workers: the advantages of considering multi-manned workstations. Journal of Industrial and Systems Engineering, 13, pp.66–77.
Roshani, A. and Giglio, D., 2020. A tabu search algorithm for the cost-oriented multi-manned assembly line balancing problem. International Journal of Industrial Engineering & Production Research.
Ghasemi, M., Roshani, G.H. and Roshani, A., 2020. Detecting human behavioral pattern in rock, paper, scissors game using artificial intelligence. Computational Engineering and Physical Modeling, 3(1), pp.25–35.
Giglio, D., Paolucci, M. and Roshani, A., 2017. Integrated lot sizing and energy-efficient job shop scheduling problem in manufacturing/remanufacturing systems. Journal of Cleaner Production, 148, pp.624–641.
Roshani, A., 2017. Mathematical formulations and heuristic approaches to optimize some production tasks in manufacturing and remanufacturing systems. Università degli Studi di Genova.
Roshani, A. and Ghazi Nezami, F., 2017. Mixed-model multi-manned assembly line balancing problem: a mathematical model and a simulated annealing approach. Assembly Automation, 37(1), pp.34–50.
Giglio, D., Paolucci, M., Roshani, A. and Tonelli, F., 2017. Multi-manned assembly line balancing problem with skilled workers: a new mathematical formulation. IFAC PapersOnLine, 50(1), pp.1211–1216.
Roshani, A., Giglio, D. and Paolucci, M., 2017. A relax-and-fix heuristic approach for the capacitated lot sizing problem in manufacturing/remanufacturing systems. IFAC PapersOnLine, 50(1), pp.9008–9013.
Roshani, A. and Giglio, D., 2017. Simulated annealing algorithms for the multi-manned assembly line balancing problem: minimising cycle time. International Journal of Production Research, 55(10), pp.2731–2751.
Roshani, A., Giglio, D. and Paolucci, M., 2016. A simulated annealing approach for the capacitated dynamic lot sizing problem in a closed remanufacturing system. IFAC-PapersOnLine, 49(12), pp.1496–1501.
Roshani, A. and Giglio, D., 2015. A mathematical programming formulation for cost-oriented multi-manned assembly line balancing problem. IFAC-PapersOnLine, 48(3), pp.2293–2298.
Roshani, A. and Giglio, D., 2015. A simulated annealing approach for multi-manned assembly line balancing problem type II. IFAC-PapersOnLine, 48(3), pp.2299–2304.
Salehi, M., Fattahi, P., Roshani, A. and Zahiri, J., 2013. Multi-criteria sequencing problem in mixed-model synchronous assembly lines. The International Journal of Advanced Manufacturing Technology, 67(1–4), pp.983–993.
Roshani, A., Roshani, A., Roshani, A., Salehi, M. and Esfandyari, A., 2013. A simulated annealing algorithm for multi-manned assembly line balancing problem. Journal of Manufacturing Systems, 32(1), pp.238–247.
Roshani, A., Fattahi, P., Roshani, A., Salehi, M. and Roshani, A., 2012. Cost-oriented two-sided assembly line balancing problem: a simulated annealing approach. International Journal of Computer Integrated Manufacturing, 25(8), pp.689–715.
Fattahi, P., Beitollahi Tavakoli, N., Fathollah, M., Roshani, A. and Salehi, M., 2012. Sequencing mixed-model assembly lines by considering feeding lines. The International Journal of Advanced Manufacturing Technology, 61(5), pp.677–690.
Zangeneh, S., Lashgari, H.R. and Roshani, A., 2012. Microstructure and tribological characteristics of aged Co–28Cr–5Mo–0.3C alloy. Materials & Design, 37, pp.292–303.
Fattahi, P., Manesh, M.S. and Roshani, A., 2012. A new solution seed for job shop scheduling problem. Applied Mechanics and Materials, 110, pp.3899–3905.
Roshani, A. and Roshani, A., 2012. Multi-manned assembly line balancing problem: minimizing cycle time. IIE Asian Conference Proceedings, pp.612–620.
Malekbarmi, A., Zangeneh, S. and Roshani, A., 2011. Assessment of premature failure in a first stage gas turbine nozzle. Engineering Failure Analysis, 18(5), pp.1262–1271.
Fattahi, P., Roshani, A. and Roshani, A., 2011. A mathematical model and ant colony algorithm for multi-manned assembly line balancing problem. The International Journal of Advanced Manufacturing Technology, 53(1), pp.363–378.