Fang Liu

ORCID: 0000-0003-3271-1846
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About
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Research Areas
  • Supply Chain and Inventory Management
  • Sustainable Supply Chain Management
  • Facility Location and Emergency Management
  • Innovation Diffusion and Forecasting
  • Optimization and Search Problems
  • Corporate Finance and Governance
  • Advanced Manufacturing and Logistics Optimization
  • Consumer Market Behavior and Pricing
  • Supply Chain Resilience and Risk Management
  • Scheduling and Optimization Algorithms
  • Infrastructure Resilience and Vulnerability Analysis
  • Evacuation and Crowd Dynamics
  • Occupational Health and Safety Research
  • Agricultural Innovations and Practices
  • Social and Demographic Issues in Germany
  • Risk and Safety Analysis
  • Economic and Social Issues
  • Working Capital and Financial Performance
  • Microfinance and Financial Inclusion
  • Livestock Management and Performance Improvement
  • Corporate Governance and Law
  • Extraction and Separation Processes
  • Consumer Retail Behavior Studies
  • Innovation and Knowledge Management
  • Environmental Impact and Sustainability

School of Business and Management
2025

Durham University
2024-2025

Jiangxi Agricultural University
2025

Chinese Academy of Sciences
2014-2023

University of Chinese Academy of Sciences
2014-2023

Huaiyin Normal University
2021

Shandong Institute of Business and Technology
2021

Beijing Institute of Technology
2020

Nanyang Technological University
2015-2019

State-owned Assets Supervision and Administration Commission of the State Council
2018

Stockpiling inventory is an essential strategy for building supply chain resilience. It enables firms to continue operating while finding a solution unexpected event that causes disruption or demand surge. While extremely valuable when actually deployed, stockpiles incur large holding costs and usually provide no benefits until such time. To help reduce this cost, study presents new approach managing stockpiles. We show if leveraged intelligently, can also organization better meet its own...

10.1111/poms.12573 article EN Production and Operations Management 2016-05-02

Against the background of global climate change, agricultural ecosystems face extreme weather, resource shortages, and carbon emission pressures, necessitating green transitions. Rural tourism, a key driver rural revitalization, injects momentum into agriculture through ecological monetization, low-carbon technology adoption, industrial restructuring. This study evaluates tourism development levels in Jiangxi Province (2008–2022) using entropy weight method explores their spatiotemporal...

10.3390/agriculture15080874 article EN cc-by Agriculture 2025-04-16

Problem definition: We consider an online retailer selling multiple products to different zones over a finite horizon with periods. At the start of horizon, orders from single supplier and stores them at warehouses. The determines products’ order quantities their storage each warehouse subject its capacity constraint. end period, after random demands in period are realized, chooses retrieval fulfill zone. objective is maximize retailer’s expected profit horizon. Methodology/results: For...

10.1287/msom.2021.0394 article EN Manufacturing & Service Operations Management 2024-07-26

Problem definition: This paper studies the single-warehouse assortment selection problem that aims to minimize order fulfillment cost under cardinality constraint. We propose two fulfillment-related functions corresponding spillover and splitting. includes fill rate maximization as a special case. show although objective function is submodular for broad class of functions, with largest size being NP-hard. Methodology/results: To make tractable solve, we formulate general warehouse types...

10.1287/msom.2022.0428 article EN Manufacturing & Service Operations Management 2024-05-30

Kuribo et al. (2019) studies a capacity provider and group of independent buyers sharing scarce but expensive-to-build over finite horizon. At the beginning horizon, capac...

10.1287/opre.2019.1878 article EN Operations Research 2019-07-02

We study a two‐stage decision problem, namely, the allocation and deployment of reserved inventories (RIs) in supply network with random demand surges. The surge follows time‐dependent stochastic process our objective is to minimize expected total unmet presence positive transshipment lead times. first solve optimal problem given that surges have occurred at some locations. show policy “nested” respect shadow price each location, where represents marginal reduction due increase RIs....

10.1111/poms.13142 article EN Production and Operations Management 2019-12-16

10.1007/s40305-016-0130-6 article EN Journal of the Operations Research Society of China 2016-07-08

Functional Resonance Analysis Method (FRAM) is a kind of system safety analysis method, which can deal with the problems nonlinear system[1-3]. This paper tries to develop FRAM into dynamic research and model because that only be used as artificial static analysis. In development model, fact accident investigators pay more attention time line has been taking account. According important points, case study using on map each different points.

10.1109/icrse.2017.8030763 article EN 2017-07-01

A collaborative optimization strategy is proposed through an in-depth analysis and research on the coordination information of cross-border e-commerce in Belt Road Initiative (BRI). In terms ideas, logistics network model overseas warehouse mode under maritime air transport modes established to reach objectives cost-saving, time efficiency, best satisfaction, realize optimal resource allocation combination elements; technical route, diversity solution set maintained or even improved a more...

10.23977/infse.2021.020206 article EN cc-by Information Systems and Economics 2021-01-01

10.1057/jors.2015.38 article EN Journal of the Operational Research Society 2015-07-22

Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation F. S. Liu, Z. G. Deng, X. Y. Xia; Major Dry‐Merger Rate Extremely Massive Dry‐Mergers of BCGs. AIP Conf. Proc. 10 October 2008; 1059 (1): 113–116. https://doi.org/10.1063/1.3012266 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search...

10.1063/1.3012266 article EN AIP conference proceedings 2008-01-01

A retailer sells a single product for period. During transportation and storage, some of these products are consumed by the either (1) due to unavoidable damages (passive self-consumption), or (2) distributed free customers (proactive self-consumption). This creates mismatch between amount purchased available sale. We study passive self-consumption with (i) fixed (ii) proportional consumption, proactive (iii) additive (iv) multiplicative demand. Under self-consumption, holds more inventory...

10.2139/ssrn.2574678 article EN SSRN Electronic Journal 2015-01-01

We consider a firm that sells product with short life cycle to time-sensitive customers. The customers’ valuations decrease over time and they are grouped into different classes according their delay sensitivities, the marginal of valuation time. is sold at two points sale (POS’s): pre-sale regular sale. study firm's sales strategy which involves pricing rationing decisions. decision deciding customers satisfy other formulate problem for both capacitated uncapacitated firms in order...

10.2139/ssrn.2384256 article EN SSRN Electronic Journal 2014-01-01
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