Associate Professor Zhang Meilin

Selected Journal Articles (Refereed)

• Satisfacing Approach to On-Demand Ride-Matching, with Dongling Rong, Xinyu Sun, Shuangchi He, accepted with minor changes for Informs Journal on Computing (UTD, ABS4*, SCI).
• Robust Repositioning for Vehicle Sharing, with He, Long and Hu, Zhengyu, Manufacturing & Service Operations Management, 2019, 22(2):241-256. (UTD, ABS4*, SCI)
• Data-driven patient scheduling in emergency departments: A hybrid robust-stochastic approach, with Shuangchi He, Melvyn Sim, Management Science, 2019, 65(9):4123-4140. (UTD, ABS4*, SCI)
• Adaptive Distributionally Robust Optimization, with Dimitris Bertsimas and Melvyn Sim,
• Management Science, 2018, 65(2):604-618. (UTD, ABS4*, SCI)
• A Robust Optimization Model for Managing Elective Admission in a public hospital, with Fan- wen Meng, Qi Jin, James Ang, Singfat Chu, Melvyn Sim, Operations Research, 2015, 63(6), 1452- 1467. (UTD, ABS4*, SCI)
• Improvement in Management System of Color Ring Back Tone Service, in Chinese with Wang Chun, Liao Jianxin, Computer Systems & Application, 2009, 18(3), 23-26. (SCI)

Working Papers

• Lessons for Implementing Marketing AI in a Business-to-Business Context, with Willie Low,  Rohit Nishant, under 3rd round review for MIS Quarterly Executive (Impact Score 6.35, SSCI) .
• An Integrated Order Dispatch Approach for Dynamic Ride Pooling and Hailing Services, under review for Production and Operations Management (UTD, ABS4*, SCI) .
• A Practical Approach for On-Demand Ride-Matching with Order Cancellation, under review for Production and Operations Management (UTD, ABS4*, SCI).
• A Data-driven Time-Constraints Order Dispatch Method for On-demand Food Delivery, with Dongling Rong, Xinyu Sun, submitting to Manufacturing & Service Operations Management, 2020, 22(2). (UTD, ABS4*, SCI).

Book Chapters

• Covid-19 New Normal. World Scientific ISBN: 978-981-125-515-1. Chapter 4 ”Transformation and Reshaping of Industrial Supply Chains in the Post-Pandemic Era”(pp 59-72)

Analytics Software Product and Tools

• Cloud Analytics for Teaching and Research: integrated data mining, optimization, simulation toolkit Jan - June. 2020
  • A complete tutorial guide for learning predictive and prescriptive analytics
  • All embedded with full documented Jupyter Notebooks
  • Rich applications and practice examples
  • Optimization include the integrated use of Docplex and Robust optimization in Python GitHub
• ROC Solver: distributionally robust optimzation in C++, May. 2016
  • Coverage of the practical distributionally robust linear optimization and support a wide range of ambiguity set
  • Providing more than 100 extensible APIs with detailed API documentation.
  • Complemented several application test cases: Appointment Scheduling, Inventory Control, Optimizing Hospital Elective Admission and etc.
  • 20000 lines open source C++ code for public use available on my GitHub
• Discrete Event Simulation Package for Healthcare Operations, Nov. 2016
  • modeling various process scenarios in hospital processes with open API for optimization strategy
  • Open source C++ code for public use available on my GitHub

Invited Seminar Presentations

• Xi’an Jiaotong University, China                        Dec. 2019
• University of New South Wales, Australia       Mar. 2018
• Nanyang Business School, NTU, Singapore   Dec. 2017
• Shanghai Jiao Tong University, China             Dec. 2016
• City University of Hong Kong, China HK         July. 2016

Conference Presentations

• POMS China International Meeting (Hangzhou, China)                                                           2023
• APORS (Asia-Pacific Operational Research Society) 2022, Philippines                                  2022
• INFORMS Annual Meeting                                                                                                            2013- 2015
• POMS-HK                                                                                                                                         2016
• Chinese Scholars Association for Management Science and Engineering (CSAMSE)         Annual 2015

2013 - Present             
MSOM

2010 - Present             
Member, INFORMS

2022-Present               
MC Member of Operations Research of Singapore Society (ORSS)

2019-2022                   
Management Committee of ORSS, Honorary Treasurer, Asst. Honorary Secretary

• Ad-hoc Referee for the following journals:
  • Management Science, Operations Research,  European Journal of Operations Research, Automatica, Computers of Operations Research

• Methodologies:
  • Robust Optimization
  • Stochastic Optimization for Decision Making under Uncertainty
  • Large Scale Computation
  • Deep Reinforcement Learning
• Applications and Software:
  • Sharing Economics, Sustainable Operations Management
  • On-demand Platform Strategy
  • Healthcare Analytics
  • Robust Optimization Software (C++ APIs)

• On Demand Service Platforms Dec. 2018 - Present
  • Large scale order dispatching with time constraints
  • Efficient ridesharing for independent agents
  • On-Demand Food Delivery Service (Last Mile Order Matching)
• Omnichannel Retail Operations Management Dec. 2022 - Present
  • Inventory fulfillment decision-making for an omnichannel retailer
  • A satisficing approach for Omnichannel Product Selection and Shelf Space Planning Optimization
• Healthcare Operations in Emergency Department, KTPH hospital Jan. 2013 - Sep. 2014
  • The patient flow process in Emergency & Acute departments of public hospitals in Singapore
  • Discrete event simulation tool for hospital process simulation

Course Taught

• Undergraduate Course Modules Taught:
  • ANL201: Data Visualization for Business, Spring 2020.
  • ANL203: Analytics for Decision Making, Fall 2017- Fall 2023.
  • ANL355: Applied Operations Research, Fall 2019 - Jan 2023.
  • ANL488: Applied Capstone Project, Spring ,Fall 2018 - 2023.
  • BUS107: Quantitative Methods, Spring 2018.
  • BUS489: Strategy for Business Management, Fall 2019 - 2023, Spring 2020.
  • BUS490: Business Strategy, Spring 2022 - 2023.
• Graduate Course Modules Taught:
  • BUS551: Harness Technology for Business Innovation, Fall 2018 - 2021.
  • BUS651: Managing Technology and Innovation, Spring 2019.
  • MKT553: Digital Marketing: Search Engine Optimization, Spring 2020 - 2023.
  • MKT554: Digital Marketing: Google Analytics, Spring 2020 -2023.
  • IPM561: Contemporary Topics in Technology and Business, Spring Fall 2021 -2023.
  • FIN599: Applied Project for Master of Finance, 2019, 2022.
  • DBA799: DBA Doctoral Dissertation, 2020 - 2022.
• Executive Management Program (EMP):
  • Artificial Intelligence: Implications for Business Strategy, Spring 2018 - 2023.
  • Technologies impacting financial institutions: AI and Cloud Computing, Fall 2018.

PhD and DBA Students Supervision

• DBA Supervision:
  • Willie Low,  January 2020 - July 2022, Graduated
• Co-Supervision of PhD students:
  • Rong Dongling (Xi’an Jiaotong University),  Sep 2019 - July 2024 (expected), Thesis “On-demand order matching for Service Platform”