Optimal Logistics Control of an Omnichannel Supply Chain

Yufeng Zhuang, Ningxi Zhang, Song Wang and Yanzhu Hu
Additional contact information
Yufeng Zhuang: School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China
Ningxi Zhang: School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China
Song Wang: School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China
Yanzhu Hu: School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China

Sustainability, 2019, vol. 11, issue 21, 1-16

Abstract: 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.

Keywords: omnichannel supply chain (OSC); case-based reasoning (CBR); case library; logistics control; simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/11/21/6014/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/21/6014/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:21:p:6014-:d:281492

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().