A numerical solution for a two-stage production and inventory system with random demand arrivals. - Andrew Junfang Yu; Yuanyuan Dong (Comput. Oper. Res., 2014)

Minimizing tardiness and maintenance costs in flow shop scheduling by a lower-bound-based GA. - Andrew Junfang Yu; Javad Seif (Comput. Ind. Eng., 2016)

An extensive operations and maintenance planning problem with an efficient solution method. - Javad Seif; Andrew Junfang Yu (Comput. Oper. Res., 2018)

Modelling and optimization of a bi-objective flow shop scheduling with diverse maintenance requirements. - Javad Seif; Andrew Junfang Yu; Fahimeh Rahmanniyay (Int. J. Prod. Res., 2018)

A multi-objective multi-stage stochastic model for project team formation under uncertainty in time requirements. - Fahimeh Rahmanniyay; Andrew Junfang Yu; Javad Seif (Comput. Ind. Eng., 2019)

Single machine common flow allowance group scheduling with learning effect and resource allocation. - Li Sun; Andrew Junfang Yu; Bin Wu (Comput. Ind. Eng., 2020)

Consultant assignment and routing problem with priority matching. - Zefeng Lyu; Andrew Junfang Yu (Comput. Ind. Eng., 2021)

A learning-based two-stage optimization method for customer order scheduling. - Zhongshun Shi; Hang Ma; Meiheng Ren; Tao Wu 004; Andrew Junfang Yu (Comput. Oper. Res., 2021)

An Agent-Based Simulation Model to Mitigate the Bull Whip Effect Via Information Sharing and Risk Pooling. - Md. Zahidul Islam; Nettie Roozeboom; Payton Gunderson; Xueping Li; Andrew Junfang Yu (WSC, 2022)

Q-learning and traditional methods on solving the pocket Rubik's cube. - Zefeng Lyu; Zeyu Liu 002; Anahita Khojandi; Andrew Junfang Yu (Comput. Ind. Eng., 2022)

The Backhaul Profit Maximization Problem: Optimization Models and Solution Procedures. - Yuanyuan Dong; Yulan Bai; Eli V. Olinick; Andrew Junfang Yu (INFORMS J. Optim., 2022)

The pickup and delivery problem with transshipments: Critical review of two existing models and a new formulation. - Zefeng Lyu; Andrew Junfang Yu (Eur. J. Oper. Res., 2023)

CrackAirport: A dataset for segmentation for airport pavements in General Aviation. - Zefeng Lyu; Christopher Starr; Andrew Junfang Yu (IEEE DataPort, 2024)

A Scalable and Adaptable Supervised Learning Approach for Solving the Traveling Salesman Problems. - Zefeng Lyu; Md. Zahidul Islam; Andrew Junfang Yu (IEEE Trans. Intell. Transp. Syst., 2024)

GIS-integrated optimization approaches for the culvert maintenance planning and scheduling problem. - Zefeng Lyu; Christopher Starr; Andrew Junfang Yu (Comput. Ind. Eng., 2025)