Optimization framework for crowd-sourced delivery services with the consideration of shippers’ acceptance uncertainties S Hou, J Gao, C Wang IEEE Transactions on Intelligent Transportation Systems 24 (1), 684-693, 2022 | 16 | 2022 |
Design for mass customisation, design for manufacturing, and design for supply chain: A review of the literature S Hou, J Gao, C Wang IET Collaborative Intelligent Manufacturing 4 (1), 1-16, 2022 | 12 | 2022 |
Matching models for crowd-shipping considering shipper’s acceptance uncertainty S Hou, C Wang 2021 IEEE International Conference on Autonomous Systems (ICAS), 1-6, 2021 | 8 | 2021 |
Order acceptance choice modeling of crowd-sourced delivery services: a systematic comparative study S Hou Authorea Preprints, 2023 | 4 | 2023 |
A Two-sided Matching System Design for Dynamic Labor Markets S Hou Concordia Institution for information systems engineering, 2019 | 3 | 2019 |
Reinforced stable matching for Crowd-Sourced Delivery Systems under stochastic driver acceptance behavior S Hou, C Wang, J Gao Transportation Research Part C: Emerging Technologies 170, 104916, 2025 | 1 | 2025 |
Matching Mechanisms Design for Crowd-Sourced Delivery Under Supply Side Uncertainty S Hou Concordia University, 2024 | | 2024 |
Dynamic Order-Driver Matching Framework Design for Crowd-Sourced Delivery Considering the Drivers’ Acceptance Uncertainties S Hou, J Gao, C Wang CICTP 2024, 2843-2853, 2024 | | 2024 |