Arijit De is currently working as an Assistant Professor at The University of Manchester. He is a Management Science Lecturer and Operations Research Scientist.

Arijit has authored 16 technical papers in International Journals (peer-reviewed) such as European Journal of Operational Research (Grade 4 Journal, ABS list), Transportation Research Part E (Grade 3 Journal, ABS list), International Journal of Production Economics (Grade 3 Journal, ABS list), IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Engineering Management (Grade 3 Journal, ABS list), International Journal of Production Research (Grade 3 Journal, ABS list), Annals of Operations Research (Grade 3 Journal, ABS list), Computers and Industrial Engineering, Expert Systems with Applications and Engineering Applications of Artificial Intelligence. Arijit is also serving as a reviewer for several renowned International Journals.

Arijit De received his Ph.D. in Industrial & Systems Engineering and M.Tech in Industrial Engineering and Management.

Previously, Arijit was associated as a Co-Investigator - Operations Research Expert with VALUMICS_H2020. He also worked as a Lecturer (Assistant Professor) in Operations Management at Newcastle University Business School, Newcastle University.

Prior to this, Arijit worked as a Researcher in the School of Business and Economics, Loughborough University. Furthermore, he worked at the Department of Industrial & Systems Engineering, Indian Institute of Technology Kharagpur and Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong.

Real-World Supply Chain and Freight Transportation

Arijit was associated as a Co-Investigator for VALUMICS (https://valumics.eu/), which received funding (€318,555) from European Union’s Horizon 2020 research and innovation programme under grant agreement No 72724. Developed Operation Research based models for Real-World Supply Chain Problems to enable decision makers to evaluate policy impacts on food value chains. The research work is published on Transportation Research Part E.

Arijit worked on a UK-India Education and Research Initiative UKIERI-UGC funded Project "Advanced Analytics for Green and Resilient Supply Chain Decision Making". Grant Contract Number: UGC UKIERI 2016-17-067. He developed a conceptual framework based on Intuitionistic fuzzy set theory to evaluate Supply Chain Organization's sustainable performance. The work is published on Annals of Operations Research.

Arijit assisted number of organizations such as Ocean Supreme, Fadne etc. as part of the consultancy support for resolving real-world supply chain problem. Arijit addressed complex Inventory Management and Freight Transportation problem comprising of multiple stakeholders and published the work on International Journal of Production Economics. Moreover, Arijit addressed Sustainable Freight Transportation network problem considering cross-docks and published on International Journal of Production Research. Furthermore, Arijit investigated the Sustainable Freight Transport performance of third-party logistics service providers within automobile industry and published the work on International Journal of Production Research.

Moreover, Arijit carried out a research work aiming to determine the pricing strategy for two supply chain members such as Original Equipment Manufacturer (OEM) and Independent Remanufacturer (IR) focussing on producing remanufactured products. The work is published on International Journal of Production Research.

Maritime Transportation and Shipping Operations

Arijit worked on a European Union EuropeAid - funded project EU-India Research & Innovation Partnership for Efficient and Sustainable Freight Transportation (REINVEST). Some of the research works on topics such as Maritime Transportation, Bunker Fuel Management and Port Operations, obtained out of this project are published in reputed journals such as European Journal of Operational Research, Annals of Operation Research and IEEE Transactions on Engineering Management. Arijit's expertise can be further highlighted, as he published research works on Sustainable Ship Routing and Scheduling in reputed journals such as Computers and Industrial Engineering and Engineering Applications of Artificial Intelligence.

At University of Hong Kong, Arijit's research was funded by National Natural Science Foundation of China, Research Grants Council of the Hong Kong Special Administrative Region, China and The University of Hong Kong through the Seed Fund for Basic Research. Arijit carried out research within Sustainable Shipping Operations addressing Disruption aspect within Maritime Logistics. The works are published on IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Engineering management.

Other Projects

Arijit developed a decision support framework considering ontology-based text mining and self organising maps for analysing the customer warranty data related to product failure information. The work is published on Computers and Industrial Engineering. The reserch work received funding from Raytheon Chair for Systems Engineering.

Arijit has the experience of using following software and tools for various practical research works - IBM CPLEX, OPL, JAVA Eclipse, Python, MATLAB, SAS, SPSS and Power BI.

Arijit is a regular contributor to London School of Economics (LSE) Business Review. Refer to the latest policy piece on Quad Supply Chain.

Associated with following courses,

BMAN24291 - Operations Management and Strategy

BMAN70202 - Business Improvement Tools Techniques and Systems

BMAN24650 - Integrative Team Project 2

BMAN31260 - ITMB Final Year Project

Taught following courses previously,

1. Supply Chain and Logistics Modelling and Control

2. Optimisation Models for Supply Chain and Operations Management

3. Research Methods

4. Data Driven Marketing Decisions

5. International Logistics

Interested in supervising PhD Students on following areas,

- Sustainable Maritime Transportation

- Supply Chain Logistics

- Disruption within Freight Transportation

Methodological Expertise required for PhD students

- Operations Research

- Algorithm development

- Data Science and Statistical Knowledge

We have the following PhD oppurtunity in Maritime Transportation domain considering the application of Machine Learning and Operations Research. Please see the link below.

Sustainable Maritime Transportation Network considering Sulphur Fuel Regulation – Application of Advanced Machine Learning and Optimization – Data Analytics & Society (datacdt.org)