Group
Sustainable Operations and Analytics Research (SOAR) Lab
Unit(s) of assessment: Business and Management Studies
Research theme(s): Safety and Sustainability
School: Nottingham Business School
Overview
The Sustainable Operations and Analytics Research (SOAR) Lab Group is a hub of researchers with expertise in systems modelling, analytics and optimisation with a focus on addressing societal challenges concerning sustainability, health and digital technologies. Our research cuts across the University’s three main Strategic Research Themes.
We use a variety of analytical decision-support tools to create data-driven solutions that help organisations improve productivity and adopt sustainable practices. We explore topical and complex challenges pertaining to healthcare, supply chains, humanitarian logistics, renewable energy, artificial intelligence and digital twins to name a few.
Our core team comprises experts in operational research, supply chain management, operations management, simulation, optimisation and mathematical modelling, analytics, natural language processing, with a shared vision to advancing the fields of operations management and analytics through a sustainability lens.
We are driven by our commitment to environmental stewardship, economic viability, and social responsibility. Our research endeavours aim to contribute to the academic knowledge as well as to generate practical solutions that benefit businesses, public organisations and communities.
Group Sub-themes:
- Healthcare operations
- Humanitarian operations and Logistics
- Digital Technologies/ Digital Twins & AI
- Circular Economy/ Decarbonisation
Our Primary Aims
- To advance state-of-the-art analytical methods used to leverage sustainable business models, policy, and systems-level change.
- Collaborate with industry through partnerships and field projects.
- Disseminate actionable insights via open-access data, policy briefs, and public engagement to inform decision-making and drive societal impact.
PhD Studentships
We’re offering fully-funded PhD studentships aligned with our research centres and groups for UK, EU or International students. Find out more about our PhD studentships and opportunities
Doctoral Students
- Mr Olayemi Iyinbor Efeovbokhan: “Developing Tools to Support Organisations with Net Zero Goals” supervisors prof Antuela Tako (DoS) and prof Tam Nguyen.
- Jayamali Ranithri Kankanige, “Developing Tools to Support Organisations with Net Zero in the construction industry” supervisors prof Antuela Tako (DoS) and prof Tam Nguyen
- Adnan Al Rahma: “Critical Evaluation of Business Process Reengineering Adoption in Airport Services Industry - A Case Study” (DBA) - supervised by Aquila Yeong (DoS) and Saeed Taheri
- Clive Whysall: “Explore the impact of HI/AI on the role of marketers in B2B context” (PhD) supervised by Aquila Yeong (DoS), Xiao Ma, Jay Bal
- Gul Rukh Humayun: “Dynamic Equilibrium in AI adoption: Resolving the Automation-Augmentation Paradox to achieve sustainable organisation success” (PhD) - Supervised by Aquila Yeong (DoS) and Zara Whysall
- Alexander Mee: “Predictive models for forecasting Crypto Markets” (PhD) supervised by Elmina Homapour (Dos), Demola Obembe, Ramez Kian
- Demet Ozturk: “Towards Low-Carbon Technology Adoption Through Data-driven Multi-Criteria Decision-Making" (PhD) supervised by Nuh Erdogan (Dos), Ramez Kian, Reza Vatankhah Barenji
- Rajapakse Appuhamilage Dinith Sathsara Arunasiri: “Digital twin-based battery management system for second-life utilization and lifespan extension” (PhD) Supervised by Reza Vatankhah Barenji (DoS), Nuh Erdogan, Ramez Kian
- Khulani Ndlovu: “Synergetic effects of AI and blockchain on the supply chain resilience improvement” supervised by AquilaYeong (DoS) and Ramez Kian.
- Oluwseum ,Omolayole Banjoko: Tourism Demand Forecasting with Large Language Models and Social Media Analytics (PhD), Supervisors Shan Shan (DOS), Dongmei Cao.
Opportunities PhD/DBA applications:
We welcome applications from prospective applicants interested to study for a PhD.
Current PhD project opportunities:
- Second Wind: Developing multi-disciplinary decision-support tools for adopting second-hand wind turbines in UK community energy projects. (funded) Supervisory team: Antuela Tako (NBS) and Tom Rogers (SST)
- Systems thinking and modelling to support workforce planning in health and social care. Supervisory team: Antuela Takou, Saeed Taheri (self-funded)
- “Improving retailer operations to reduce food waste using simulation-optimisation” Supervisory team: Antuela Takou, Yun He (self-funded)
- Building Antifragile Supply Chains: Leveraging Digital Technologies to Transform Disruptions into Opportunities. Supervisory team: Saeed Taheri (Self-funded)
- “Measuring behavioural change towards climate change solutions in the fashion industry”, Supervisory team: Antuela Takou (Self-funded)
- “Evaluation of facilitated simulation workshops in healthcare” Supervisory team: Antuela Takou, Yun He (self-funded)
Project Spotlights
1. Circular Economy for Small Medical Devices (ReMed): Solving the challenge of small medical device waste in the health sector
ReMed (www.remed.uk, EPSRC £1.5m) is a multi-disciplinary research collaboration focused on applying circular economy principles to small medical devices through re-engineering, reuse, refurbishment, and recycling.
NBS led the development of simulation-based decision support tools to assess feasibility of circular practices. Helpful actionable insights to support implementation of circular economy practices within healthcare service delivery.
Key Insights:
Waste Reduction: Adopting re-usable devices can reduce waste by up to 50%.
Cost Efficiency: While initial investments in redesign and infrastructure are needed, long-term savings are achievable through multi-use cycles.
Resilient supply chains: Circular approaches reduce reliance on international suppliers, enhancing system resilience.
2. Digital Transformation for Rise and Recline Ltd (2025 - 2027): Knowledge Transfer Partnership (KTP) with Rise and Recline Ltd (Lead Academic: Aquila Yeong; Co-Supervised by Prof. Zara Whysall (Nottingham Business School) and Prof. Amin Al-Habaibeh (School of Architecture Design and the Built Environment), ~ £205k
This KTP project aims to enable business growth, increased profitability and greater resource efficiency in a mature manufacturing firm. The project will employ bespoke algorithms to support human decision-making, effectively upskilling and empowering the existing workforce.
Previous/current projects:
- EPSRC-funded project “Circular Economy for small medical devices” (ReMed) - £1.5M
- NIHR-funded project “Kenya-UK development award to support the design of a whole system approach to facilitate the functioning of the baby friendly community initiative within the Kenyan health system” - £100K
- Health Foundation/Wales NHS Modelling Collaborative, “Exploring implementation barriers of analytics and simulation projects in healthcare” £50K
- Simulation for Greater Care (SIMTEGR8) project, £128K.
- "Newton Fund": Innovating the Turkish supply chain for services in humanitarian aid" (~£150K)
- "British Council: Vaccines4All: efficient, fair and timely distribution of vaccines and pandemic test resources" (~£150K)
- 5 Knowledge Transfer Partnership (KTP) projects by Innovate UK since 2017 (~£950k),
- Regional funds such as Productivity Through Innovation (by European Regional Development Fund), and Enterprising Ashfield (~£100k)
- Gender bias in the OR profession: analysing enablers and barriers (unfunded project)
Antuela Tako
Professor
Nottingham Business School
Ramez Kian
Senior Lecturer
Nottingham Business School
Saeed Taheri
Senior Lecturer
Nottingham Business School
Yun He
Senior Research Fellow
Nottingham Business School
Zhenxin Qin
Senior Lecturer
Department of Strategy, Analytics and Operations
Elaine Chen
Senior Lecturer
Nottingham Business School
Betul Gumus
Senior Lecturer
Nottingham Business School
Aquila Yeong
Senior Lecturer
Nottingham Business School
Dr Pouneh Arbabiun
Lecturer
Nottingham Business School
Publications
2025
- Tako, A. A. (2025). A methodological framework combining a facilitated and expert mode to extend the simulation model lifetime: a case study of an ambulance service. Journal of the Operational Research Society, 1–23. https://doi.org/10.1080/01605682.2025.2554740
- MUTORO, A.N., WANJOHI, M., WILUNDA, C., KOECH, M.J., OGUNSOLA, A., TAKO, A., JUN, T.G., WATERSON, P., GRIFFITHS, P.L. and KIMANI-MURAGE, E.W., 2025. The effect of the COVID-19 pandemic on the baby-friendly community initiative and maternal infant and young child nutrition in Kenya. BMC Public Health, 25: 1618. ISSN 1471-2458
- Tako A A and Constantinescu C., Exposing gender bias in the mathematics and operational research professions, IMA Journal of Management Mathematics, Volume 36, Issue 3, July 2025, Pages 397–403, https://doi.org/10.1093/imaman/dpaf021
- Croft, S, Tako, A, He, Y, Thompson, S, Morgan, L and Lambie, M, 2025. Developing hybrid kidney care models with facilitated modelling. In: Harper, A, Luis, M, Monks, T and Mustafee, N, eds., Proceedings of the 12th Operational Research Society Simulation Workshop 2025 (SW25). Birmingham: Operational Research Society, pp. 126-135. ISBN 9798331315078
- Ghahremani-Nahr, J., Kian, R. and Ghaderi, A., 2025. A food upcycling model by food bank collection-distribution networks. Socio-Economic Planning Sciences, p.102247. https://doi.org/10.1016/j.seps.2025.102247
- Li, Y., Cao, D., Hewitt, M. and Shan, S., 2026. Using large-language models to analyse social media engagement with the public sector communication on circular economy: Evidence from X. Technological Forecasting and Social Change, 222, p.124400
- Wang, B., Mirza, N., Umar, M. and Shan, S., 2025. Firm valuation under climate uncertainty: The role of climate risk exposure and disclosure practices. International Review of Financial Analysis, p.104724.
- Shan, S., Gümüş, D.B., et al., 2025, Online Health Community Recommendation System with LDA-FCM Approach. Engineering Headway, 27, pp.329-342.
- Chen, Z., Mirza, N., Umar, M. and Shan, S., 2025. Sustainability and entrepreneurial finance: how does climate risk affect startup financing and valuations? International Journal of Entrepreneurial Behaviour & Research, pp.1-17.
2024
- Lentle, D., Sachser, V., Incze, E., Tako, A., Rostami-Tabar, B., Spencer, C. and Morgan, J., 2024. Using simulation for long-term bed modelling in critical care. Journal of Simulation. ISSN 1747-7778.
- Shoaib, M., Tako, A., Fayad, R. and Vargas-Palacios, A., 2024. Towards using simulation to evaluate the circular economy of small medical devices. In: Proceedings of the 2024 Winter Simulation Conference. Winter Simulation Conference.
- He, Y., Hewitt, M., Lehuédé, F., Medina, J. and Péton, O., 2024. A continuous-time service network design and vehicle routing problem. Networks, 83, pp.300–323. https://doi.org/10.1002/net.22194.
- Xiao, Y., Kchouri, B., Li, A., & Shan, S. 2024. Tracing the dynamic impact of energy transitions on equity market volatility in an era of financial turbulence, Energy Economics 133, 107443.
- Ali, S., Umar, M., Naveed, M., & Shan, S. 2024. Assessing the impact of renewable energy tokens on BRICS stock markets: A new diversification approach. Energy Economics, 134, 107523.
2023
- Collins, A.J., Thaviphoke, Y. and Tako, A.A., 2023. Using Strategic Options Development and Analysis (SODA) to understand the simulation accessibility problem. Journal of the Operational Research Society, 74(10), pp.2143-2164. ISSN 0160-5682.
- Tsioptsias, N., Tako, A.A. and Robinson, S., 2023. Are “wrong” models useful? A qualitative study of discrete event simulation modeller stories. Journal of Simulation, 17(5), pp.594-606. ISSN 1747-7778.
- Gümüş, D.B., Özcan, E., Atkin, J. and Drake, J.H., 2023. An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms. Information Sciences, 619, pp.153-171.
- Ghahremani-Nahr, J., Ghaderi, A. and Kian, R., 2023. A food bank network design examining food nutritional value and freshness: A multi-objective robust fuzzy model. Expert Systems with Applications, 215, p.119272.
- Ghahremani-Nahr, J., Ghaderi, A. and Kian, R., 2023. Bi-objective fuzzy food bank network design with considering freshness of food baskets. Journal of applied research on industrial engineering, 10(4), pp.518-540.https://doi.org/10.22105/jarie.2022.370119.1513
- Shan, S.; Yang, S.; Becerra, V.; Deng, J.; Li, H. 2023. A Case Study of Existing Peer-to-Peer Energy Trading Platforms: Calling for Integrated Platform Features. Sustainability,15, 16284
- Wang, T., Umar, M., Li, M., & Shan, S. 2023. Green finance and clean taxes are the ways to curb carbon emissions: An OECD experience. Energy Economics, 106842.
- Shan, S., Mirza, N., Umar, M., & Hasnaoui, A. 2023. The nexus of sustainable development, blue financing, digitalization, and financial intermediation. Technological Forecasting and Social Change, 195.
- Yulei, Li.; Shan, S.,& Lin, Z.,2023. Text Mining and Topic Modelling, Research Methods in Business and Management, Theoretical and Practical Perspectives, Taylor & Francis
- Hepple, R., Du, H., Feng, H., Shan, S., & Yang, S. 2023. Sustainability and carbon neutrality in UK's district heating: A review and analysis. e-Prime-Advances in Electrical Engineering, Electronics and Energy, 100133.
2022
- Danaye, N., Kian, R. and Colmekcioglu, N., 2022. An agent-based modeling approach for understanding drivers of consumer decisions on foreign vs domestic products: Case study of a local refrigerator market. International Journal of Information Technology and Decision Making.
- Ghahremani-Nahr, J., Kian, R., Sabet, E. and Akbari, V., 2022. A bi-objective blood supply chain model under uncertain donation, demand, capacity and cost: A robust possibilistic-necessity approach. Operational Research, pp.1-39.
- Kian, R., Erdoğan, G., de Leeuw, S., Salman, F.S., Sabet, E., Kara, B.Y. and Demir, M.H., 2022. Logistics planning of cash transfer to Syrian refugees in Turkey. European Journal of Operational Research, 296(3), pp.1007-1024.
- Shan, S., Umar, M., & Mirza, N. 2022. Can robo advisors expedite carbon transitions? Evidence from automated funds. Technological Forecasting and Social Change, 180, 121694.
- Shan, S, li, Y& H,L. 2022. Motivations behind P2P Energy Trading: A Machine Learning Approach, International Journal of Chinese Culture and Management, 5(3), 189-202
2021
- Sumsurooah, S., He, Y., Torchio, M., Kouramas, K., Guida, B., Cuomo, F., Atkin, J., Bozhko, S., Renzetti, A., Russo, A., Riverso, S. and Cavallo, A., 2021. ENIGMA—A Centralised Supervisory Controller for Enhanced Onboard Electrical Energy Management with Model in the Loop Demonstration. Energies, 14(17), p.5518. https://doi.org/10.3390/en14175518.
- Shan, S., Genç, S. Y., et al. 2021. Role of Green Technology Innovation and Renewable Energy in Carbon Neutrality: A Sustainable Investigation from Turkey. Journal of Environmental Management, 294, 113004.
- Shan, S., Munir, Ahmad., et al. 2021. The Role of Energy Prices and Non-Linear Fiscal Decentralization in Limiting Carbon Emissions: Tracking Environmental Sustainability, Energy,234, 121243
- Xu, X., Li, H., & Shan, S. 2021. Understanding the Health Behaviour Decision-Making Process with Situational Theory of Problem Solving in Online Health Communities: The Effects of Health Beliefs, Message Source Credibility, and Communication Behaviours on Health Behavioural Intention. International Journal of Environmental Research and Public Health, 18(9), 4488.
2020
- Tako, A.A., Tsioptsias, N. and Robinson, S., 2020. Can we learn from simplified simulation models? An experimental study on user learning. Journal of Simulation, 14(2), pp.130-144. ISSN 1747-7778.
- Currie, C.S.M., Fowler, J.W., Kotiadis, K., Monks, T., Onggo, B.S., Robertson, D.A. and Tako, A.A., 2020. How simulation modelling can help reduce the impact of COVID-19. Journal of Simulation, 14(2), pp.83-97.
- He, Y., Artigues, C., Briand, C., Jozefowiez, N. and Ngueveu, S.U., 2020. A matheuristic with fixed-sequence reoptimization for a real-life inventory routing problem. Transportation Science.
- Eliş, H., Tansel, B., Oğuz, O., Güney, M. and Kian, R., 2020. On guarding real terrains: The terrain guarding and the blocking path problems. Omega, p.102303.
- Allahi, F., Taheri, S., Kian, R. and Sabet, E., 2020. Cash based interventions in persistent humanitarian refugee crisis: A system dynamics approach. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2020.2982583.
- Kian, R., 2020. A production planning problem with lost sales and nonlinear convex production cost function under carbon emission restrictions. Journal of Energy Management and Technology, 4(2), pp.1-13.
- Kian, R., Berk, E., Gürler, Ü., Rezazadeh, H. and Yazdani, B., 2020. The effect of economies-of-scale on the performance of lot-sizing heuristics in rolling horizon basis. International Journal of Production Research, pp.1-15.