Dr Abdolreza Roshani
Academic and research departments
Department of Business Analytics and Operations, Centre of Digital Economy, Centre for Business Analytics in Practice.About
Biography
Abdolreza Roshani is a Lecturer (Assistant Professor) in Business Analytics at Surrey Business School. Prior to his current role, Abdolreza served as a Post-doctoral Researcher at the Centre for Digital Economy (CoDE) within Surrey Business School (SBS). Additionally, he enriched his knowledge as a visiting scholar at Kettering University (Michigan).
Abdolreza has made remarkable contributions to academia, having published in prestigious academic 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. Additionally, he has demonstrated his commitment to education by teaching a variety of management and engineering modules to undergraduate and postgraduate students.
Abdolreza is actively participating in the RAMONA Project which focuses on developing effective techniques for detecting disruptions, accurately analyzing them, and formulating responsive strategies for reconfigured manufacturing. This collaborative endeavour brings together the expertise of three universities: the University of Warwick, the University of Reading, and the University of Surrey. The EPSRC generously funds the project with over £1 million. The primary objective of this project is to create innovative tools and techniques that can enhance the resilience of additive manufacturing.
The RAMONA Project is led by the esteemed primary investigator, Professor Greg Gibbons from Warwick University. The project also involves researchers from Surrey University, including Professor Glenn Parry as the co-investigator and Dr. Abdolreza Roshani as a key member contributing to the research efforts. The team is dedicated to advancing the field of research through their collaborative efforts.
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
Operations Research, Optimisation, Supply Chain Management, Business Analytics
Research interests
Operations Research, Optimisation, Supply Chain Management, Business Analytics
Publications
A Roshani, M Paolucci, D Giglio, M Demartini, F Tonelli, MA Dulebenets, 2022, 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.
Singh, P., Pasha, J., Khorram-Manesh, A., Goniewicz, K., Roshani, A. and Dulebenets, M.A., 2021. A Holistic Analysis of Train-Vehicle Accidents at Highway-Rail Grade Crossings in Florida. Sustainability, 13(16), p.8842.
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.
Esfandyari, A. and Roshani, 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(Special issue: 16th International Industrial Engineering Conference), 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, 31(2), pp.189-202.
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. and Nezami, F.G., 2017. Mixed-model multi-manned assembly line balancing problem: a mathematical model and a simulated annealing approach. Assembly Automation.
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 dynamic lot sizing problem in integrated 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), 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.
Fattahi, P., Manesh, M.S. and Roshani, A., 2012. A new solution seed for job shop scheduling problem. In Applied Mechanics and Materials (Vol. 110, pp. 3899-3905). Trans Tech Publications Ltd.
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.