Publications:

1. The Value of Order-Progress Information in Single-Stage Logistics
   Operations with Expediting [Manuscript in progress]
2. Statistical Hierarchical Generalised Regression Model for Customer Demand Forecasting [Manuscript in progress]
3. Kaiser, J., Hernández, M.P., Kaupe, V., Kurrek, P. and McFarlane, D., 2024. An agent-based approach for energy-efficient sensor networks in logistics. Engineering Applications of Artificial Intelligence, 127, p.107198.
4. Dhada, M., Macias-Aguayo, J., Mukherjee, A. and McFarlane, D., 2023. Low-cost very narrow aisle pallet racking vehicle utilisation monitoring solution.
5. A catalogue of digital solution areas for logistics SMEs (2022)
6. White paper: A catalogue of digital solution areas for logistics SMEs
7. Zhong, S., Giannikas, V., Merino, J., McFarlane, D., Cheng, J. and Shao, W., 2022. Evaluating the benefits of picking and packing planning integration in e-commerce warehouses. European Journal of Operational Research, 301(1), pp.67-81.
8. Giannikas, V and McFarlane, D (2021) "Examining the value of flexible logistics offerings", European Journal of Operational Research290(3):968-981.
9. Pan, S and Trentesaux, D and McFarlane, D and Montreuil, B and Ballot, E and Huang, GQ (2021) "Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet", Computers in Industry, 129, http://doi.org/10.1016/j.compind.2021.103462
10. Pan, S., Trentesaux, D., McFarlane, D., Montreuil, B., Ballot, E., Huang, G. Q. (2021) "Digital interoperability and transformation in logistics and supply chain management: Editorial" Computers in Industry.
11. Zhong, S,  Giannikas V, Merino J, McFarlane D, Cheng J, Shao W (2022), "Evaluating the benefits of picking and packing planning integration in e-commerce warehouses", European Journal of Operational Research 301(1): 67-81. 
12. Aggarwal D, et al. (2022), "Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission". Nat Commun13(1):751 08 Feb 2022
13. McFarlane, D, et al, (2022), "Logistics of a Covid-19 Testing Programme for Students: A Practical Study in Operational Resilience",submitted to IJOPR.
14. Masood, T and McFarlane, D and Parlikad, AK and Dora, J and Ellis, A and Schooling, J (2016) "Towards the future-proofing of UK infrastructure", Infrastructure Asset Management, 3. pp. 28-41. ISSN 2053-0242
15. McFarlane, D., Giannikas, V. and Lu, W., 2016. Intelligent logistics: Involving the customer. Computers in Industry, 81, pp.105-115
16. Kelepouris, T., McFarlane, D. and Giannikas, V., 2012. A supply chain tracking model using auto-ID observations. International Journal of Information Systems and Supply Chain Management (IJISSCM), 5(4), pp.1-22.
17. Kelepouris, T. and McFarlane, D., 2010. Determining the value of asset location information systems in a manufacturing environment. International Journal of Production Economics, 126(2), pp.324-334.