T
Tijun Fan
Researcher at East China University of Science and Technology
Publications - 26
Citations - 581
Tijun Fan is an academic researcher from East China University of Science and Technology. The author has contributed to research in topics: Computer science & Supply chain. The author has an hindex of 9, co-authored 15 publications receiving 313 citations.
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Impact of subsidy policies on recycling and remanufacturing using system dynamics methodology: a case of auto parts in China
TL;DR: In this article, the authors explored the impact of subsidy policies on the development of the recycling and remanufacturing industry in China using system dynamics methodology and by simulating Chinese auto parts industry.
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The VEC-NAR model for short-term forecasting of oil prices
TL;DR: In this paper, a hybrid vector error correction and nonlinear autoregressive neural network (VEC-NAR) model was proposed to deal with three characteristics of crude oil prices, namely, their lag, nonlinearity and interrelationship among different oil markets, which cannot be handled simultaneously by most traditional crude oil price forecasting models.
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Evaluating the impact of carbon tax policy on manufacturing and remanufacturing decisions in a closed-loop supply chain
TL;DR: In this paper , the impact of carbon tax policy on manufacturing and remanufacturing decisions in a closed-loop supply chain (CLSC) consisting of a manufacturer and a retailer was evaluated.
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The joint tax-subsidy mechanism incorporating extended producer responsibility in a manufacturing-recycling system
TL;DR: In this article, the authors investigate the joint tax-subsidy mechanism using game theory by considering a manufacturing-recycling system consisting of a government, a manufacturer, and a recycler.
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Radio-frequency identification (RFID) adoption with inventory misplacement under retail competition
Li-Hao Zhang,Tian Li,Tijun Fan +2 more
TL;DR: It is shown that the equilibrium RFID adoption strategies depend on the competition intensity, misplacement rates, and RFID tagging cost, and with more intense competition, a retailer can be more likely to adopt RFID, identifying competition as a key driving force ofRFID adoption.