Logistics and Transportation Analytics Research Interest Group (LTA-RIG)
Leader: Dr Jiyin Liu, Professor of Operations Management
The Logistics and Transportation Analytics research interest group focuses on research, development and application of multi-disciplinary work that impacts on future challenges facing logistics and transportation. The members of the LTA-RIG utilise both qualitative tools (for problem exploration) and analytical tools (for problem solving). The group members are experienced in optimisation, modelling, heuristics, forecasting, systems thinking and case study work.
The group works with various stakeholders including academics, industrialists, businesses and policy makers on research focussed on supply chains risks management, sustainable supply chains, berth allocation and related decisions in shipping and terminal operations, logistics operations scheduling in the steel industry, business forecasting and situational awareness.
Sustainable supply chains, berth allocation and related decisions in shipping and terminal operations, logistics operations scheduling in steel industry, distribution centre / warehouse operations, business forecasting, situational awareness, green logistics and dynamic pricing.
- Jiyin Liu – Professor, Head of RIG
- Alok Choudhary – Senior Lecturer
- Alan French – Senior Lecturer
- Baibing Li – Professor
- Grammatoula Papaioannou – Lecturer
- Rupal Rana – Lecturer
- Pol Arias-Melia - PhD student
- Samir Dani – Professor, Huddersfield University
Title: "Exploiting OR techniques to transforming field operations"
Speaker: Dr Gilbert Owusu, British Telecom
Date: Thursday, 12th June 2014
Demand forecasting and resource planning are critical steps in any organization’s bid to deliver high levels of customer service. A common misconception is that forecasts are inaccurate because the statistical method, or the general methodology, is inappropriate or being applied incorrectly. There are improvements in forecast accuracy when the right approaches/models are applied to the data at hand. However data is often highly reflective of the organisational context, i.e. the scope of demand forecasting may have several dimensions. The entire organisational context may include regions, domains, products, large customers, time and so on, and the product requirements may have several types. Forecasting in all these dimensions will end up in multiples of combinations of data. The limitations of data have led to the use judgmental methods and quantitative models. Gilbert will describe the process and technologies of managing demand and resources in transforming field force operations in BT.
Dr Gilbert Owusu heads the resource management technologies research at BT and is Visiting Professor at the University of Essex. The technologies developed by Gilbert and his team have underpinned major transformation programmes and led to improved customer experience, cost savings and increased resource productivity in BT. His current research focuses on developing technologies that provide a coherent approach to optimising - (i) resource utilisation; and (ii) an organisation's service production lines with external partners.
* Abhijeet Ghadge, Samir Dani, Michael Chester, Roy Kalawsky, (2013) "A systems approach for modelling supply chain risks", Supply Chain Management: An International Journal, Vol. 18, Iss. 5
* Abhijeet Ghadge, Samir Dani, Roy Kalawsky, (2012) "Supply chain risk management: present and future scope", The International Journal of Logistics Management, Vol. 23 Iss: 3, pp.313 – 339
* Samir Dani, Aman Deep (2010) “Fragile Food Supply chains: reacting to risks”, International Journal of Logistics: Research and Application, 13:5, pp 395-410
* Jiang, Y. Liu. J. (2012) A new model and a branch and bound solution strategy for cyclic multi-hoist scheduling, accepted for publication in IIE Transactions.
* Tang, L, Zhao, R, Liu, J (2012) Models and algorithms for shuffling problems in steel plants, Naval Research Logistics, 59(7), pp.502-524.
* Tang, L, Wang, G, Liu, J (2011) A combination of Lagrangian relaxation and column generation for order batching in steelmaking and continuous-casting production, Naval Research Logistics, 58(4), pp.370-388.
* Tang, L, Meng, Y, Liu, J (2011) An improved Lagrangian relaxation algorithm for the dynamic batching decision problem, International Journal of Production Research, 49(9), pp.2501-2517.
* Singh, K and Li, B (2012) Estimation of traffic densities for multilane roadways using a Markov model approach, IEEE Transactions on Industrial Electronics, 59(11), pp.4369-4376.
* Li, B (2012) Recursive estimation of average vehicle time headway using single inductive loop detector data, Transportation Research Part B: Methodological, 46(1), pp.85-99.
* Li, B and Tang, FF (2011) Online pricing dynamics in internet retailing: the case of the DVD market, Electronic Commerce Research and Applications, 10(2), pp.227-235.
* Li, B (2011) The multinomial logit model revisited: a semi-parametric approach in discrete choice analysis, Transportation Research Part B: Methodological, 45(3), pp.461-473.
* Oliveira, F. S. and R. Rana, (2008) “Business to Business Online Revenue Management,” In Service Chain Management – Technology Innovation for the Service Industry, C. Voudouris, G. Owuso,, R. Dorne and D. Lesaint (Ed.), Springer, p. 239-250.
* Papaioannou, G. and Wilson, J.M. (2012) A tabu search algorithm for the cell formation problem with part machine sequencing, Foundations of Computing and Decision Sciences, 37(2), pp.97-127, ISSN: 0867-6356.
- Logistics Research Network Annual Conference
- International Symposium of Logistics
- The European Conference on Operational Research
- The Triennial Conference of the International Federation of Operational Research Societies
- ICTTS’ 2012 Euro conference
- 9th Annual International Conference on Small and Medium Enterprises
PhD students completed:
- Zheng Tong: Formulation and heuristic solution methods for integrated berth and quay crane allocation at container terminals
- Karandeep Singh Khalsa: Statistical modelling and analysis of traffic: A dynamic approach
- The 10th International Research Seminar on Supply Chain Risk Management, September 6th - 7th, 2010, Loughborough University- for proceedings: http://homepages.lboro.ac.uk/~ensd/iscrim_2010.htm
- Joint work with Northeastern University of China on production and logistics operations planning for Shanghai Baoshan Iron and Steel Corporation has generated massive savings in the company’s operations.
The work is to be presented at the INFORMS Conference on Business Analytics and Operations Research in San Antonio next months and is competing for the Franz Edelman Award for achievements in applications of OR/MS.
2) India- UK Joint Economic and Trade Committee (JETCO)- member of the ‘Skills Group’- sub group: Food SC and Logistics (2012-2013)
3) India- UK Joint Economic and Trade Committee (JETCO)- member of the ‘Trade & Export subgroup’ and the JETCO Retail, Food Processing and Supply Chain Logistics Group (2011-2012)
4) Links with UKTI and the Confederation of Indian Industry
5) Links with Food companies in the UK and India, CABI, Indian Banks, County councils (Leicester City, Leicestershire), Asian Business Associations in the Midlands
Future events planned for this year:
- A one-day workshop on Food Supply Chains (both industry and academic participants)
- Four academic seminars in the focal areas of research for the RIG
- An industry roundtable to discuss the future challenges to the Logistics and Transportation Analytics sector
Doctoral students join a lively and supportive community of research students, becoming an integral part of the School’s research culture. We welcome approaches from suitably qualified graduates, particularly those with a relevant Masters degree and sufficient funding, who may wish to undertake research projects in the specialist areas of the group, leading to a PhD. As a research student, you will be encouraged to attend conferences to present your work and develop joint publications with your supervisors.
The group has great supervisory experience and is keen to supervise high quality research students in members’ specialist research fields. Recognition of the quality of supervision offered by the group members has resulted in funding for doctoral students from Research Councils. For students interested in further information on potential PhD projects and supervisors, please stay tuned to our webpages.
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