Minghe Sun

Professor

University of Texas at San Antonio

United States

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Professor Minghe Sun is a faculty member at the University of Texas at San Antonio in the United States. His research primarily focuses on supply chain coordination, demand information sharing, and optimization strategies within inventory management. Recent publications highlight his work on algorithm sharing, clustering algorithms, and the dynamics of e-retailer and manufacturer interactions. Professor Sun's expertise integrates data-driven approaches to address complex problems in multi-item and omnichannel retail environments.

Articles (20)

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2025

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2023

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2023

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2022

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2022

Collaborators (3)

Henry Xu

AUSTRALIA

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Reza Maihami

Assistant professor

East Tennessee State University

UNITED STATES

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Ehsan Ahmadi

Assistant Professor of Management Science

Mercer University

UNITED STATES

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Minghe Sun

Research Interests

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About

Articles (20)

Optimizing omnichannel retailer inventory replenishment using vehicle capacity-sharing with demand uncertainties and service level requirements

Online platform demand information sharing with upstream suppliers under the imbalanced market power structure

Deep Stacking Kernel Machines for the Data-Driven Multi-Item, One-Warehouse, Multiretailer Problems with Backlog and Lost Sales

E-retailer’s secondhand product market entry and manufacturer’s rebate decisions considering fairness concerns

Data-driven contract design for supply chain coordination with algorithm sharing and algorithm competition

A multi-objective evolutionary algorithm based on incremental support vector regression for the irregular strip packing problem

Tensor-Based Uniform and Discrete Multi-View Projection Clustering

DPC-MFP: An adaptive density peaks clustering algorithm with multiple feature points

Traditional online and live-streaming dual-channel strategies and pricing policies

Omnichannel strategies and data-driven robust inventory policies with demand uncertainties

Vertical integration of an online secondhand platform and a recycling platform under different power structures

Impacts of consumer virtual showrooming behavior on manufacturer and retailer strategic decisions in a dual-channel supply chain

Evolution-communication spiking neural P systems with energy request rules

Joint pricing and ordering decisions for a loss-averse retailer with quantity-oriented reference point effect and demand uncertainty: a distribution-free approach

A robust omnichannel pricing and ordering optimization approach with return policies based on data-driven support vector clustering

Prediction-driven collaborative emergency medical resource allocation with deep learning and optimization

Machine Learning Methods for Data-Driven Demand Estimation and Assortment Planning Considering Cross-Selling and Substitutions

Inventory Management With Multisource Heterogeneous Information: Roles of Representation Learning and Information Fusion

Intelligent inventory management approaches for perishable pharmaceutical products in a healthcare supply chain

Fuzzy Reasoning Numerical Spiking Neural P Systems for Induction Motor Fault Diagnosis

Collaborators (3)

Henry Xu

Reza Maihami

Ehsan Ahmadi

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