Management & Engineering Enterprise Information Management System Integration Based on

Management & Engineering 22 (2016) 1838-5745
Contents lists available at SEI
Management & Engineering
journal homepage: www.seiofbluemountain.com
Enterprise Information Management System Integration Based on
Internet of Things Technology
Congguo MA∗, Jianguo WANG
Huaiyin Institute of Technology, Huaian 223002, Jiangsu, P.R.China
KEYWORDS
Internet of things,
System integration,
Management information system,
Decision support
ABSTRACT
In order to meet the needs of enterprise modern development and realize the management of
high agility and integration, the paper constructed enterprise information management
system based on Internet of things technology, and completed the system architecture design
and function module design and software structure, the system integrated production
management and sales management and warehouse management and quality inspection
management and system maintenance functions into the enterprise information management
system to achieve the real-time information sharing and improve the modernization level
of enterprise management.
© ST. PLUM-BLOSSOM PRESS PTY LTD
1 Introduction
Because of the development influence of technology and economic and human factors, the enterprise development process has
accumulated large amounts of heterogeneous data, the data exchange and information resources sharing cause data redundancy and
data inconsistency, it is difficult for enterprise to access data resources and management decision. The effective integration of the
heterogeneous data is the data base and the prerequisite for establishment enterprise information management and decision support
system. Therefore, the establishment of enterprise information integration platform can provide efficient, convenient and reliable
management means, eliminate data situation of "lacking spirit of cooperation" and accommodate all kinds of heterogeneous data and
the effective integration of multidimensional database to support data mining and prediction and decision. Enterprise information
integration is to realize the data integration and information services of company production and sales and management. The
integration technology of heterogeneous database and information resource can reduce the data redundancy and improve the data
consistency and data sharing [1].
2 Enterprise Information Management System Based on Internet of Things
Internet of things is a global technology revolution and is widely used in enterprise information management to realize multitarget
locating and information storage automatic identification and tracking and so on through the sensing and control equipment and the
∗
Corresponding author.
E-mail address: [email protected]
English edition copyright © ST. PLUM-BLOSSOM PRESS PTY LTD
DOI:10.5503/J.ME.2016.22.003
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object information or object interaction. Enterprise information integration platform based on Internet of things technology combined
GPS and GIS with MIS, Internet of things is mainly from three layer structure of perception layer and network layer and application
layer, applications can be divided into two parts to support the application layer and the application of Internet of things, the
hierarchical structure includes 4 parts: sensing platform and transfer platform and support platform and application platform, its
structure is shown as Figure 1 [2]. The main features of enterprise information integrated management platform based on Internet of
things are: (1) Aware platform. Sensing platform is the front-end of Internet of things, it achieves the object of perception function
including data collection and object recognition, the main technology is RFID and sensors and laser scanning and front
self-organizing network, and implements logistics information data integration through networking sensing technology and
multi-source data acquisition of logistics business and heterogeneous database integration and information integration technology.
(2) The transmission platform. It is a variety of data sensing platform for the transmission through the network to application layer.
The network has the Internet and satellite network and broadcasting and television network and mobile network and the private
network. (3) Supporting platform. It mainly refers to system development and data processing technology in Internet of things, and
includes operating system and database and data mining technology and heterogeneous database integration and middleware
technology and XLM technology and Web Technology etc. The main interface and transmission platform and application platform
realizes information sharing and decision analysis and intelligent processing and network management etc. (4) Application platform.
All kinds of application service system include intelligent logistics and smart grid and intelligent home furnishing etc. The system
realizes the embedded GPS/GIS system and MIS system integration, the information system is very convenient for data sharing and
multi-source logistics information collection and traceability system based on RFID technology to achieve full control of the supply
chain. Logistics distribution center achieves comprehensive integration of information flow material flow and capital flow in
electronic commerce. Logistics distribution center of automatic should include full automatic solid warehouse and automatic feeding
system and automatic sorting system and robot palletizing system to realize logistics management.
Figure 1 Management framework of information system based on network
3 The Knowledge Base Technology as the Core of MIS Software Structure
Because of single data organization mode as the center and their own limitations, it has been unable to meet decision analysis
requirements of data system, the emergence and development of knowledge base provide a powerful tool for enterprise information
management, which reorganizes the data on the basis of traditional database and uses the knowledge of enterprise and employees to
knowledge intensive decision [3]. It is not only for the acquisition of knowledge and code, but also improves the enterprise knowledge
sharing and retrieval. Management information system based on knowledge base deals with transaction processing environment and
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decision analysis and constitutes a kind of new intelligent decision environment. The system consists of six parts of production
management subsystem and enterprise information management subsystem and sales management subsystem and quality assurance
subsystem and process management subsystem and supply chain management subsystem etc. Production management subsystem and
enterprise information management subsystem database mainly complete production management all and daily and data entrance of
entire enterprise management information system and provide the original data to the auxiliary decision system; decision support
system includes the database and model library and document library, and mainly completes the statistical analysis and forecast
budget and other functions, and provides decision support for makers; system management subsystem is responsible daily
maintenance and data extraction and classification of data sources and knowledge source data from various sources and
transformation data to knowledge warehouse. Knowledge acquisitions is man-machine system composed by knowledge engineers
and intelligence programs, it includes actively scanning and analysis and retrieval of knowledge resources and knowledge unit, and
establishes links and contextual knowledge unit. Knowledge in data warehouse interacts via push engine and decision system.
Knowledge push is used to improve the efficiency of knowledge dissemination technology in promoting the dissemination of
knowledge under the guidance of the theory; the users are interested in knowledge through Web to user knowledge. The system
makes the predetermined knowledge description format to extract keywords through the knowledge push the engine, and matches
with the corresponding solution problem in the knowledge warehouse.
Figure 2 Software architecture based on knowledge warehouse
4 The System Realization
Based on the analysis of system user needs, information management in middle and small enterprises in this paper is based on the
order form production pattern, function module mainly includes production management module and sales management module and
warehouse management module and quality inspection management module and system management module 5 modules, each
module contains input and output and query and modify and data statistics and other functions. Data transmission achieves
transmission among the modules through a shared database and parameters. The system logic function diagram is as shown in Figure
3 [4]. (1) Production management module includes production management module; task check displays a given date the task
completion of production daily report and shows the completion task of monthly production report. (2) Sales management module
includes product order management and product delivery management and sales queries, sales management system can help
enterprise sales personnel to complete the customer file management and sales management and sales order management and offer
customer credit check and bill of lading and sales delivery processing and sales invoices and red invoice processing. Sales
management subsystem manages the entire sales. The users can timely get accurate data information for each link and the sales
process. (3) Warehouse management module includes storage management and database management and inventory management
and statistical report. Inventory management includes 3 parts warehouse management of raw materials and the finished products and
semi-finished products, the warehouse is the intermediate link enterprise of procurement and production and sales of raw materials
and production and sales, the system can provide warehouse storage information any time on, enterprises have the purchasing plan
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according to the market demand, and timely adjust goods storage structure of products and raw materials, and set up a warehouse
alarm prompt function. (6) The database design: data model of the database to database tables contains production schedule and task
list and customer data and product ordering list and product delivery.
Figure 3 The system function structure diagram
5 Conclusion
This paper combined with the actual characteristics of business management and analyzed the methods of constructing enterprise
management information system and the disadvantages of traditional enterprise management information system, the knowledge base
as the core technology is proposed on the basis of decision support, knowledge is becoming the key of enterprise management
strategy based on enterprise management information system, base technology based on the knowledge has extensive application
prospects. With the rapid development of computer technology and Internet technology, they create good conditions for enterprise
information and provide a favorable technical support for enterprise information management system to achieve full range of
multi-functional. In the process of constructing enterprise integrated information system, the enterprise should consider
comprehensive application system of network application system and use various functions from the idea of selection and
development and combination to construct enterprise integrated information system, and establishes the system function modules in
the standard configuration according to various branches in different business processes. Small and medium enterprises will also
gradually improve the modern information management model with the degree deepening of information technology and make the
overall benefit and efficiency of enterprise improved.
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