Ms Sadaf Farboodi
PhD Student

Summary

Sadaf Farboodi is a Doctoral Candidate in the Department of Technology, Management and Economics at the Technical University of Denmark (DTU), where she works under the supervision of Professor Michael Bruhn Barfod. She is currently a Guest PhD Student in Management Studies at Brunel University London, Brunel Business School, supervised by Professor Afshin Mansouri.

Her PhD research, titled “Development and Testing of an Impact Assessment Methodology for Green Shipping Corridors (GSCs),” focuses on the development of a comprehensive decision-support framework for evaluating investments in sustainable maritime transport. The project integrates Cost Analysis (CA) with Multi-Criteria Decision Analysis (MCDA) and Multiple Objective Programming (MOP) to address the limitations of conventional economic assessments, particularly where impacts cannot be fully quantified or monetised.

By integrating quantitative and qualitative evaluation criteria, the proposed methodology enables a comprehensive assessment of environmental, economic, technical, regulatory, and societal impacts across multiple stakeholders involved in GSCs. In the final stage, MOP methods are applied to identify sustainable, cost-efficient investment portfolios. The research is conducted through a case study of the Esbjerg (Denmark)–Immingham (UK) corridor, in close collaboration with industry partners and with extensive stakeholder engagement to ensure practical relevance and real-world applicability.

She holds an MSc in Industrial Engineering from Babol Noshirvani University of Technology (BUNT), with an academic background focused on quantitative decision-making, optimisation, and the integration of technical and social dimensions in operations and manufacturing systems. Her Master’s thesis, “Workers’ Assignment in Virtual Cellular Manufacturing Systems,” focused on enhancing flexibility, efficiency, and responsiveness in manufacturing environments through the implementation of virtual cellular manufacturing systems. The study developed a multi-objective mathematical model that simultaneously balances physical and time-based workloads, incorporates worker skills and cooperation preferences, and accounts for multiple processing routes under uncertainty using a robust possibilistic approach. The model was validated through a real-world case study, demonstrating its practical applicability and effectiveness in supporting operational decision-making.

She also has experience as a Teaching Assistant (TA) in postgraduate courses at BNUT, including Industrial Systems Design and Multiple-Criteria Decision Analysis, during her Master’s studies. In addition to her doctoral research, she worked as a TA at DTU, contributing to postgraduate teaching in decision support, strategic assessment, and sustainable operations and supply chain management.

Building on this academic background, her doctoral research in sustainable maritime transport draws on strong methodological and analytical expertise to develop integrated assessment frameworks, evaluate investment decisions, and support evidence-based policy and industry strategies for GSCs.

Publications

Farboodi, S., Paydar, M. M., & Nemati, A. (2024). Designing a virtual cellular manufacturing system with route selection and workers’ considerations: A multi-objective robust possibilistic model. Expert Systems with Applications, 238, 122263.

Farboodi, S., Goodarzian, F., & Molaei, A. A. (2024). Harnessing the power of Industry 4.0: Synergizing smart manufacturing, supply chain, and reshoring strategies. In Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making (pp. 167-180). CRC Press.

Molaei, A. A., Goodarzian, F., & Farboodi, S. (2024). Digital revolution in cold supply chain management related to the food industry. In Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making (pp. 181-192). CRC Press.