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Optimal Logistics Control of an Omnichannel Supply Chain

School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China
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Sustainability 2019, 11(21), 6014; https://doi.org/10.3390/su11216014
Received: 29 September 2019 / Revised: 27 October 2019 / Accepted: 27 October 2019 / Published: 29 October 2019
This paper aims to find the best way to control logistics in an omnichannel supply chain (OSC). For this purpose, two steps of work were carried out around case-based reasoning (CBR). In the first step, the combined feedback which proved stability was selected to control logistics in the single node, while the variational method and the virtual siphon were combined to determine the optimal control curve. There is a linear part and a nonlinear part in the combined feedback. The new method of storing data mode is “data turning to picture”. In the second step, image features were extracted by the hybrid method of SURF-GoogLeNet and used for case matching via the grey cloud method. SURF-GoogLeNet was firstly used to update the weight proportion of the defect points in the whole image via the speeded up robust features (SURF) method and secondly to self-extract features using the GoogLeNet method. Finally, the effectiveness of the proposed methods was verified through experiments. The research findings shed new light on the management of supply chains. View Full-Text
Keywords: omnichannel supply chain (OSC); case-based reasoning (CBR); case library; logistics control; simulation omnichannel supply chain (OSC); case-based reasoning (CBR); case library; logistics control; simulation
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MDPI and ACS Style

Zhuang, Y.; Zhang, N.; Wang, S.; Hu, Y. Optimal Logistics Control of an Omnichannel Supply Chain. Sustainability 2019, 11, 6014. https://doi.org/10.3390/su11216014

AMA Style

Zhuang Y, Zhang N, Wang S, Hu Y. Optimal Logistics Control of an Omnichannel Supply Chain. Sustainability. 2019; 11(21):6014. https://doi.org/10.3390/su11216014

Chicago/Turabian Style

Zhuang, Yufeng, Ningxi Zhang, Song Wang, and Yanzhu Hu. 2019. "Optimal Logistics Control of an Omnichannel Supply Chain" Sustainability 11, no. 21: 6014. https://doi.org/10.3390/su11216014

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