Bin Hu

Bin Hu


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 April 2019 in IEEE Transactions on Industrial Informatics
Verified
Journal Article
Closed access
Zhihan LyuZhihan Lyu
Zhihan Lyu
BHBin Hu
Bin Hu
HLHaibin Lv
Haibin Lv
This paper designs a smart urban environment monitoring system based on the wireless network of ZigBee to complete the real-time collection of urban environment information. The system consists of the basic monitoring network and the remote receiving terminal. The basic monitoring network connects the streetlights as routes and the taxis as nodes. After dynamically organizing the network, each node is assigned with an address as the only identity in the network. Then, the system designed conducts the simulation experiment to prove that it could meet the needs and send the collected information to the designated terminal in the form of message according to the setting. The sensor organized through the wireless network of ZigBee could inspire the infrastructure construction of the smart city. With the network, a smarter and more comfortable society could be well offered to people.

4 April 2017 in Electronic Commerce Research
Verified
Journal Article
Closed access
PDF file
YYYuwei Yan
Yuwei Yan
Zhihan LyuZhihan Lyu
Zhihan Lyu
BHBin Hu
Bin Hu

5 April 2019 in Journal of Agricultural Economics
Verified
Journal Article
Closed access
PDF file
XWXiang Wu
Xiang Wu
BHBin Hu
Bin Hu
JXJie Xiong
Jie Xiong

16 October 2019 in Sustainability
Verified
Journal Article
Open access
PDF file
SCShan Chang
Shan Chang
BHBin Hu
Bin Hu
XHXiuhong He
Xiuhong He
This paper focuses on coordination issues related to the green supply chain with capacity constraints and green marketing efforts. We build a two-stage green supply chain, in which the upstream manufacturer has a certain amount of installed capacity to produce green product, yet can expand its capacity through a Cloud Manufacturing (CM) Platform once its existing capacity becomes insufficient, while the downstream retailer expends green marketing effort to promote the green product. In particular, we analyze the interaction between the capacity expansion options of the manufacturer and the green marketing efforts of the retailer. Aiming to mitigate the inefficiency under a decentralized green supply chain, we design a contract that combines cost-sharing and revenue-sharing in green marketing in order to coordinate the supply chain. The results show that: (1) when the manufacturer’s existing capacity falls below a certain threshold, it will choose to expand its capacity. The threshold is related to existing capacity, capacity expansion cost coefficient, green marketing cost coefficient, and sensitivity coefficient of demand to green marketing. (2) Under low capacity, if the capacity expansion cost coefficient is large, a higher consumer environmental awareness or preference for green products will weaken the retailer’s motivation for expending green effort. (3) A contract for cost-sharing and revenue-sharing in green marketing can fully coordinate the green supply chain, whereby the two share proportions are equal and meet certain constraints.

19 June 2024 in Computers & Industrial Engineering
Verified
Journal Article
Closed access
YDYanting Duan
Yanting Duan
BHBin Hu
Bin Hu
SRSang Ri
Sang Ri
Wang LinWang Lin
Wang Lin
MZMeirong Zhou
Meirong Zhou

17 August 2020 in Neural Computing and Applications
Verified
Journal Article
Closed access
PDF file
PLPeipei Liu
Peipei Liu
WMWei Ming
Wei Ming
BHBin Hu
Bin Hu