Research on the application of the internet of things in reverse logistics information management
Abstract: Combined the current
situation with the development trend of reverse logistics, the article focus on
the research of Internet of Things application in the reverse logistics
information management, starts with the study of reverse logistics information
system, and describes the system structure and system process in applying
Internet of Things in reverse logistics information management, finally brings
forward the constraints like management and economic ones in applying the
technology to the system.
Research methods: By analyzing the current situation of reverse logistics
information system, utilizing literature research methods to put forward
characters of reverse logistics information system, and expanding the previous
studies on Internet information transmission, we gradually establish the
reverse logistics management information system on the basis of the application
of Internet of Things.
Research Results: Through applying the Internet of Things in the reverse
logistics system, we can build a complete close-loop logistics system by
linking both extreme ends of positive and negative logistics. Besides, the
system will be engaged in data mining in backflow prediction data and
re-processing data at regular and irregular intervals. Moreover, advice will be
provided to design, purchase, manufacturing and customer service departments
for their reference so as to promote respective business.
Research Application and Limits: This paper focuses on how the enterprise
should apply the Internet of Things technology in reverse logistics, and how to
build this system in detail and what the flow planning is made. This thesis is
only limited to the analysis of constraints impeding the development of the
reverse logistics MIS, including management constraints, economic constraints,
hardware technology, data security and rights management constraints. Detailed
solutions to address these problems will be put forward in the further
research.
Author: Yuexia Gu, Qingqi Liu
Journal Code: jptindustrigg130090
