Qitong Zhao

Dr Zhao Qitong

Lecturer, Logistics and Supply Chain Management Programme

School of Business

Tel: +65 6240 8857

Educational Qualifications

  • 2018
    Ph.D., Industrial Systems Engineering and Management, National University of Singapore
  • 2013
    B.Eng., major in Naval Architecture and Marine Engineering, Tianjin University B.Mgt., minor in Financial Management, Tianjin University

Academic and Professional Experience

  • 2019 - Present
    Lecturer, School of Business, Singapore University of Social Sciences
  • 2018 - 2019
    Research Fellow, Centre of Excellence in Modelling and Simulation for Next Generation Ports, National University of Singapore
  • 2017 - 2018
    Research Engineer, Department of Industrial Systems Engineering and Management, National University of Singapore
  • 2014 - 2017
    Teaching Assistant, National University of Singapore

Journal:

  • Hu, B., Jiang, G., Yao, X., Chen, W., Yue, T., Zhao, Q., Wen, Z. (2023). Allocation of emergency medical resources for epidemic diseases considering the heterogeneity of epidemic areas. Frontiers in Public Health, 11, 992197.
  • Zhou, C., Zhao, Q., Li, H. (2021). Simulation optimization iteration approach on traffic integrated yard allocation problem in transshipment terminals. Flexible Services and Manufacturing Journal, 33, 663-688.
  • Zhao, Q., Zhou, C., Pedrielli, G. (2020). A decision support system for data-driven driver-experience augmented vehicle routing problem. Asia-Pacic Journal of Operational Research, 37(05), 2050018.

Under Review and Working Papers:

  • Developing A Resilient Humanitarian Value Ecosystem: A Systematic Review on Humanitarian Financing Using Topic Modelling
  • Managing Humanitarian Access and Information Gaps: A Deep Learning Approach with MLP and Permutation Analysis
  • Enhancing Prescriptive Analytics Education through Generative AI Integration
  • A Progressive Hedging-Based Sample Average Approximation Approach to Stochastic Multi-Echelon Multi-Channel Supply Chain Network Planning

Conferences:

  • Examining Attitudes and Perceptions Towards Warehouse Safety Behaviour, ICLT Conference, Seoul, 19-22 Nov, 2024
  • Refining Warehouse Operations by Implementing Collaborative Robots and Automation: A Survey, Sydney, 24-26 Sep, 2024
  • Robust Two-Period Inventory Management with Clearance Pricing, POMS International Conference, Budapest, 29 Jun-1 Jul, 2022
  • Simulation Optimization Iteration Approach On Traffic Integrated Yard Allocation Problem in Transshipment Terminals, INFORMS Annual Conference, Seattle, 20-23 Oct, 2019
  • AGV Control in Large-scale Parallel Transshipment Container Terminal. INFORMS Annual, Phoenix, 4-7 November, 2018
  • Simulation Optimization Approach on Traffic Considered Yard Allocation Problem in Automated Container Terminal. INFORMS International, Taipei, 17-20 June, 2018
  • Two-Stage Simulation-Based AGV Routing in Parallel Yard Container Terminal. IISE Annual, Pittsburgh, 20-23 May, 2017
  • Modular Control of the AGV System in Horizontal Container Terminal. MTEC, Singapore, 26-28 April, 2017
  • Real-time Deadlock-free Routing for AGV System in Container Terminal. LOGMS, Sydney, 21-23 June, 2016
  • 2017 - Present
    Member, INFORMS
  • 2022 - Present
    ICEBA, ICEBI, Technical Committee
  • Simulation and Optimization for Logistics
  • Smart Transportation, Automated Guided Vehicles System (AGVS)
  • Technology in Warehouse Operations Management
  • Humanitarian Logistics
  • Study on Impact of e-Commerce and Technology on the Employment and Skills for Warehousing Workers in Asia Pacific (Joint work with ITF), Jan 2024 – Present
  • Applying Behavioural Insights to Augment Safety of PSA Lashing Operations (Joint work with PSA), Mar 2023 – Jan 2024
  • Automated Guided Vehicle(AGV) Routing Problem (Joint work with NUS, PSA), Aug 2014 - Sept 2019
  • 2018
    Second Award, Best Practical Award, National Contest on Reverse Logistics Design, China
  • 2014
    Certificate in University Teaching for Teaching Assistant, NUS


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