Zhi‐Ping Fan

ORCID: 0000-0001-6778-4637
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About
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Research Areas
  • Multi-Criteria Decision Making
  • Supply Chain and Inventory Management
  • Consumer Market Behavior and Pricing
  • Optimization and Mathematical Programming
  • Sustainable Supply Chain Management
  • Digital Marketing and Social Media
  • Rough Sets and Fuzzy Logic
  • Transportation and Mobility Innovations
  • Evaluation and Optimization Models
  • Sentiment Analysis and Opinion Mining
  • Quality Function Deployment in Product Design
  • Cognitive Science and Mapping
  • Forecasting Techniques and Applications
  • Fuzzy Systems and Optimization
  • Advanced Manufacturing and Logistics Optimization
  • Evaluation Methods in Various Fields
  • Consumer Retail Behavior Studies
  • Scheduling and Optimization Algorithms
  • Sharing Economy and Platforms
  • Electric Vehicles and Infrastructure
  • Vehicle Routing Optimization Methods
  • Digital Platforms and Economics
  • Blockchain Technology Applications and Security
  • Outsourcing and Supply Chain Management
  • Innovation Diffusion and Forecasting

Universidad del Noreste
2020-2025

Northeastern University
2015-2024

State Key Laboratory of Synthetical Automation for Process Industries
2014-2024

Shanghai University of Medicine and Health Sciences
2024

Naval Research Laboratory Information Technology Division
2014-2022

Decision Sciences (United States)
2014-2022

Southern Medical University
2017-2019

Nanfang Hospital
2017-2019

Institute of Software
2017

Guangzhou University
2017

10.1016/s0377-2217(98)00141-6 article EN European Journal of Operational Research 1999-01-01

With the rapid advances in information technology, an increasing number of online reviews are posted daily on Internet. Such can serve as a promising data source to understand customer satisfaction. To this end, paper, we proposed method for modelling satisfaction from reviews. In method, dimensions (CSDs) first extracted based latent dirichlet allocation (LDA). The sentiment orientations CSDs identified using support vector machine (SVM). Then, considering existence complex relationships...

10.1080/00207543.2019.1574989 article EN International Journal of Production Research 2019-02-07

10.1016/j.tre.2020.101885 article EN Transportation Research Part E Logistics and Transportation Review 2020-02-21

This paper investigates the strategies for adopting blockchain technology in fresh product supply chain (FPSC) consisting of a supplier, third-party logistics service provider (3PL) and an e-tailer. We analyse optimal FPSC members under benchmark scenario where does not adopt those three scenarios 3PL e-tailer lead construction blockchain-based traceability system (BTS), respectively. find that is always decision FPSC, which related to consumers' acceptance degree without technology,...

10.1080/00207543.2021.1894497 article EN International Journal of Production Research 2021-03-12

10.1016/j.ijproman.2013.06.006 article EN International Journal of Project Management 2013-06-25

10.1016/j.ijpe.2011.04.014 article EN International Journal of Production Economics 2011-04-30
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