A5100397802- Supply Chain and Inventory Management
- Sustainable Supply Chain Management
- Working Capital and Financial Performance
- Banking stability, regulation, efficiency
- Transportation and Mobility Innovations
- Education and Learning Interventions
- Scheduling and Optimization Algorithms
- Reinforcement Learning in Robotics
- Statistical Methods and Inference
- Outsourcing and Supply Chain Management
- Adaptive Dynamic Programming Control
- Transportation Planning and Optimization
- Consumer Market Behavior and Pricing
- Public Procurement and Policy
- Advanced Causal Inference Techniques
- Advanced Technologies in Various Fields
- Digital Platforms and Economics
- Statistical Methods and Bayesian Inference
- Quality and Supply Management
- Grit, Self-Efficacy, and Motivation
University of Science and Technology of China
2021-2023
Shanghai Jiao Tong University
2023
Northeastern University
2022
Southwestern University of Finance and Economics
2019
Qingdao University
2008
Small and medium-sized enterprises play a crucial role in sustaining economic development both developed economies developing economies, however, many of them suffer from chronic structural difficulties accessing external financing. In this paper, we develop theoretical framework to illustrate how information structures work the strategic interactions between banks firms supply chain, why transaction chain may serve reduce asymmetry improve SMEs’ access We find that under incomplete...
Credit lines have been widely adopted by banks to grant credit small and medium-sized enterprises (SMEs). However, there often exists a gap between the granted actual funding needs of SMEs. In addition, existing line models treat each SME as stand-alone entity instead considering it within its supply chain system. But an SME’s relations significant impact on credit-worthiness. To offer holistic assessment, this paper first constructs base model for SMEs their background. Next, accounting...
This paper studies a multi-stage multi-product production and inventory planning problem with random yield derived from the cold rolling process in steel industry. The has multiple stages, intermediate buffers are kept between stages to ensure continuous operation. Switching products during is typically very costly. Backorder costs incurred for unsatisfied demand while holding excess inventory. also experiences yield. objective of minimize total cost including switching costs, backorder...
Interconnection of nodes takes great challenge to the estimation causal effect in network. In this study, we develop a nonparametric doubly robust (NDR) estimator identify presence general interference on network observational data. The combines strengths mapping and regression. Thus, it is consistent when either treatment or outcome model properly specified free parametric assumptions. asymptotic properties proposed are also proved. We demonstrate robustness effectiveness NDR by simulation...
We investigate the pricing timing strategy in context of trade credit (TC), under which capital-constrained retailer applies for deferred payments from its supplier. Based on wholesale price offered by supplier, determines order volume before observing random demand and selling after it (a.k.a., postponement). formulate Stackelberg game to show how their equilibrium decisions profits are affected by: timing, financing mode, structure. The analytical numerical results indicate that TC...
In this research, the production inventory control problem in automobile manufacturers is investigated to keep at ideal level and minimize cost. Firstly, we establish a linear-quadratic tracking (LQT) model for three serial workshops. The reinforcement learning (RL) algorithm employed give policy of with unknown parameters. Furthermore, an improved multi-objective differential evolution (MODE) proposed adjust weight matrix hyperparameters RL so that diversity policies on conflicting...
We propose two formulations for the capacitated lot sizing problem with family-based setup and downstream-process-based demand (CLSP-FSDPD), one is aggregate formulation (AGG) other facility-location-based disaggregate (FDG). compare extensive computational experiments show that FDG outperforms AGG in terms of solution quality when planning horizon relatively short, consistently takes shorter CPU computation time to solve most cases. some differences performance these various arise from...