World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
47
Citations
9870
World Ranking
1261
National Ranking
5

Engineering and Technology

D-Index
54
Citations
11679
World Ranking
3168
National Ranking
42

Overview

Loo Hay Lee is affiliated with the National University of Singapore in Singapore. Their research spans multiple aspects of engineering, business, management, and accounting with a focus on industrial and manufacturing engineering, management science and operations research, and strategy and management. The scientist's work addresses complex problems in simulation techniques, urban and freight transport logistics, and manufacturing process optimization.

Their publication record includes contributions to several academic journals. Frequent venues for their research include:

  • IISE Transactions
  • Transportation Research Part E Logistics and Transportation Review
  • Computers & Industrial Engineering
  • Transportation Science
  • Transportation Research Part B Methodological

Key research topics covered in their publications are:

  • Simulation Techniques and Applications
  • Urban and Freight Transport Logistics
  • Advanced Manufacturing and Logistics Optimization
  • Vehicle Routing Optimization Methods
  • Maritime Ports and Logistics
  • Supply Chain Resilience and Risk Management
  • Manufacturing Process and Optimization

Loo Hay Lee has collaborated frequently with several coauthors including Ek Peng Chew, Yun Hui Lin, Haitao Liu, and Hui Xiao.

The scientist's recent academic papers include:

  • Optimal computing budget allocation for the vector evaluated genetic algorithm in multi-objective simulation optimization, 2021, Automatica
  • Analytics with digital-twinning: A decision support system for maintaining a resilient port, 2021, Decision Support Systems
  • Profit-maximizing parcel locker location problem under threshold Luce model, 2021, Transportation Research Part E Logistics and Transportation Review
  • Dynamic Incentive Mechanism for Delivery Slot Management in E-Commerce Attended Home Delivery, 2020, Transportation Science
  • Stochastic optimization using grey wolf optimization with optimal computing budget allocation, 2021, Applied Soft Computing

Their main academic contributions reflect an interdisciplinary approach, involving simulation methodologies, logistics and transport optimization, and decision support systems aimed at improving efficiency and resilience in supply chains and manufacturing processes.

Best Publications

  • Heuristic methods for vehicle routing problem with time windows

    K.C Tan;L.H Lee;Q.L Zhu;K Ou

  • Stochastic Simulation Optimization: An Optimal Computing Budget Allocation

    Chun-hung Chen;Loo Hay Lee

  • Analysis for strategy of closed-loop supply chain with dual recycling channel

    Min Huang;Min Song;Loo Hay Lee;Loo Hay Lee;Wai Ki Ching

  • Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions

    Yuan Wang;Dongxiang Zhang;Qing Liu;Fumin Shen

  • Efficient Simulation Budget Allocation for Selecting an Optimal Subset

    Chun-Hung Chen;Donghai He;Michael C. Fu;Loo Hay Lee

  • Enhancing transportation systems via deep learning: A survey

    Yuan Wang;Dongxiang Zhang;Ying Liu;Bo Dai

  • A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems

    Kay Chen Tan;Yoong Han Chew;Loo Hay Lee

  • An optimization model for storage yard management in transshipment hubs

    Loo Hay Lee;Ek Peng Chew;Kok Choon Tan;Yongbin Han

  • A multiobjective evolutionary algorithm for solving vehicle routing problem with time windows

    K.C. Tan;T.H. Lee;Y.H. Chew;L.H. Lee

  • An Integrated Model for Berth Template and Yard Template Planning in Transshipment Hubs

    Lu Zhen;Ek Peng Chew;Loo Hay Lee

  • Simulation Optimization: A Review and Exploration in the New Era of Cloud Computing and Big Data

    Jie Xu;Edward Huang;Chun-Hung Chen;Loo Hay Lee

  • A decision model for berth allocation under uncertainty

    Lu Zhen;Loo Hay Lee;Ek Peng Chew

  • Multi-objective simulation-based evolutionary algorithm for an aircraft spare parts allocation problem

    Loo Hay Lee;Ek Peng Chew;Suyan Teng;Yankai Chen

  • A study on bunker fuel management for the shipping liner services

    Zhishuang Yao;Szu Hui Ng;Loo Hay Lee

  • An approximate dynamic programming approach for the empty container allocation problem

    Shao-Wei Lam;Loo-Hay Lee;Loon-Ching Tang

  • A yard storage strategy for minimizing traffic congestion in a marine container transshipment hub

    Yongbin Han;Loo Hay Lee;Ek Peng Chew;Kok Choon Tan

  • Finding the non-dominated Pareto set for multi-objective simulation models

    Loo Hay Lee;Ek Peng Chew;Suyan Teng;David Goldsman

  • Artificial intelligence heuristics in solving vehicle routing problems with time window constraints

    K.C. Tan;L.H. Lee;K. Ou

  • Simulation optimization in the era of Industrial 4.0 and the Industrial Internet

    Jie Xu;Edward Huang;Liam Y. Hsieh;Loo Hay Lee

  • Daily berth planning in a tidal port with channel flow control

    Lu Zhen;Zhe Liang;Dan Zhuge;Loo Hay Lee

  • Approximate Simulation Budget Allocation for Selecting the Best Design in the Presence of Stochastic Constraints

    Loo Hay Lee;N. A. Pujowidianto;Ling-Wei Li;C. Chen

Frequent Co-Authors

Ek Peng Chew
Ek Peng Chew National University of Singapore
Chun-Hung Chen
Chun-Hung Chen George Mason University
Jie Xu
Jie Xu Chinese University of Hong Kong, Shenzhen
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Lu Zhen
Lu Zhen Shanghai University
Loon Ching Tang
Loon Ching Tang National University of Singapore
Dongxiang Zhang
Dongxiang Zhang Zhejiang University
Wai-Ki Ching
Wai-Ki Ching University of Hong Kong
Jian-Qiang Hu
Jian-Qiang Hu Fudan University
Tong Heng Lee
Tong Heng Lee National University of Singapore

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Mathematics in the USA opens doors to a variety of online degree options that complement your quantitative skills and enhance your career prospects. Many students consider advancing their education with programs like a 1 year dba program online, which can accelerate leadership roles in data-driven industries.

For those interested in financial sectors, an online masters in finance programs provide specialized knowledge to manage investments, risk, and analytics effectively. These programs often integrate mathematical concepts, making them a natural next step.

Business professionals aiming for rapid advancement may find accelerated online mba programs a practical choice. These degrees typically blend quantitative analysis with leadership training, complementing math-intensive backgrounds.

Finally, for those drawn to technology and consumer trends, pursuing an ms in digital marketing degree cost tuition fees program can be advantageous. Digital marketing increasingly relies on data analytics and algorithms, areas where math graduates excel.

Best Scientists Citing Loo Hay Lee

Trending Scientists

Recently Published Articles