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Lili Yang

Researcher at Southern University of Science and Technology

Publications -  99
Citations -  1813

Lili Yang is an academic researcher from Southern University of Science and Technology. The author has contributed to research in topics: The Internet & Information system. The author has an hindex of 20, co-authored 86 publications receiving 1497 citations. Previous affiliations of Lili Yang include Tsinghua University & Loughborough University.

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How the internet of things technology enhances emergency response operations

TL;DR: A modified task-technology fit approach is proposed that is used to investigate how the IoT technology can be incorporated into the three rhythms and enhance emergency response operations, and the findings from the research support the two hypotheses.
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A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms

TL;DR: The proposed method is the combination of a fuzzy multi-objective programming and a genetic algorithm for the optimization of fire station locations, which has three distinguish features: considering fuzzy nature of a decision maker (DM) in the location optimization model, being more understandable and practical to DM.
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A 3PL supplier selection model based on fuzzy sets

TL;DR: The results show that the proposed 3PL supplier selection model can effectively integrate decision preferences into decision processes.
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Hybrid Zigbee RFID sensor network for humanitarian logistics centre management

TL;DR: The work has demonstrated the completeness of information that the system can provide, as well as the flexibility of such a low cost but complete system which can lead to significant improvements in the overall performance of the humanitarian supply chain.
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City-level water-energy nexus in Beijing-Tianjin-Hebei region

TL;DR: Li et al. as mentioned in this paper studied the water-energy nexus in Beijing-Tianjin-Hebei region in 2012 from both production and consumption perspectives, where input-output analysis based on city-level inputoutput tables are applied to conduct consumption-based accounts.