ABSTRACT: Emergency logistics system is mainl

Changming Li

Lihong Guo

Zhixin Li

CiteSeerX

        Journal of Digital Information Management  Volume 12    Number  6     December    2014                            383
Design of Decision-Making System of Emergency Logistics Information
System Based on Data Mining
Changming Li, Lihong Guo, Zhixin Li
Hebei Normal University of Science & Technology,
Hebei, 066004, China
lcmcmli@163.com
Journal of Digital
Information Management
ABSTRACT: Emergency logistics system is mainly
composed of emergency command center, emergency
logistics center, and emergency logistics information
system. Among them, emergency logistics information
system is a very important part of the emergency logistics
throughout the whole emergency logistics rescue process,
which is consisted of early-warning, reserve and
distribution, monitoring, decision-making and evaluation
six subsystems. This paper discussed the data mining
technology applied to the construction process of
emergency logistics information system, used data mining
to find valuable potential information and provided it to
each subsystem of emergency logistics information
system, in order to support emergency decision-making.
Categories and Subject Descriptors
H.2.7 [Database Administration]:  Data warehouse and repository;
H.4.2 [Types of Systems]: Logistics; H.2.8 [Database
Applications]: Data mining
General Terms: Data Mining, Logistics Information
Keywords: : Emergency Logistics, Logistics Information
System, Data Mining
Received: 1 June 2014, Revised 19 July 2014, Accepted 24 July
2014
1. Introduction
With the accelerated development of economic
globalization, the constantly deepen of national
industrialization, urbanization, occasionally occurrence
of major natural disasters, major accident disasters, major
public health and social security events, endlessly emerge
of new situations, new problems. On the one hand, these
suddenly happened public events may cause great
casualties and property losses. It needs a lot of emergency
material to reduce all kinds of public emergency personnel
and property losses, to prevent the damage degree of
further deterioration, to speed up the reconstruction and
restoration of the order and production, etc. On the other
hand, although the development of science and technology
improved people’s prediction ability to disasters, most of
the natural disasters, major accidents, public health, social
security events are difficult to predict or interval between
forecast time and occurrence time is very short. High
requirements are put forward to emergency logistics
system of providing material support. Hence, research on
emergency logistics system has very important practical
significance.
Emergency logistics system is a special case of general
logistics system, which is an organic integrity, composed
of various logistics factors, logistics entity, logistics links,
with the purpose of satisfying the unconventional
emergency logistics demand. Each component of system
interacts, interrelates, and inter coordinates [1]. Because
all kinds of emergency events occur frequently,
construction demand is becoming higher and higher for
emergency logistics system, but from current
circumstances, emergency logistics system construction
aspects still have many shortcomings.
2. Functional Requirement of Emergency Logistics
Decision - Making System
384                       Journal of Digital Information Management  Volume 12    Number  6     December  2014
Emergency logistics is a process of plan, organization,
management and control through dynamic judgment of
sudden logistics demand level and quickly identifying to
reasonably and effectively deploy logistics resources and
personnel allocation, etc in the situation of emergency
logistics demand caused by emergency event. And in this
process the requirements of time efficiency, logistics
operation cost principle and emergency logistics demand
are met. Unconventional, sudden, uncertainty and weak
economy are the four significant characteristics of
emergency logistics. Besides, according to the conclusion
and summarize from related scholars on different
emergency logistics types, “fast” and “accurate” are the
common features of emergency logistics.
Based on analysis of connotation and characteristics on
emergency logistics, a scientific designed, well-functioning
emergency logistics decision-making system should have
the function of emergency logistics project intelligence
generation and all real-time monitoring for emergency
logistics. In order to achieve and meet the functional
requirements of emergency logistics decision-making
system, we must improve the efficiency, real-time and
accuracy of logistics data information. This paper selects
data mining techniques for the design of the emergency
logistics decision-making system, trying to provide
emergency logistics decision-making intelligence,
visualization and comprehensive support.
3. The composition of emergency logistics
information system
After unconventional emergency event happened, it needed
to immediately start the emergency logistics system. The
system is mainly composed of emergency command
center, emergency logistics center and emergency
logistics information system (Figure 1). Emergency
logistics information system is mainly composed of early-
warning, reserve, distribution, monitoring, decision-making
and evaluation six subsystems [2]. Early-warning
subsystem is mainly to deal with unconventional
emergency alarm, make a confirmation and disposition
on time, publish information through various media after it
is confirmed true; Reserve subsystem mainly stores
relevant data and information of emergency material, call
needed emergency material from reserve subsystem
according to the confirmed information from early-warning
system after unconventional emergency events happened;
distribution subsystem is to distribute emergency material
reasonably after command center confirms the preliminary
requirements of the emergency material [3]; monitoring
subsystem is responsible for monitoring the entire
emergency rescue activities, until to the aftermath disposal
stage of emergency logistics, and updating the database,
ensuring the real-time information[4]; decision-making
subsystem should start the corresponding contingency
plan according to the early-warning subsystem confirmed
information, rescue timely and adjust real-time decisions
according to the situation progress; evaluation subsystem
is mainly for emergency decision-making summary and
evaluation, find out the deficiencies and defects during
the implementation of emergency logistics, summary
accumulated experience, and constantly enrich case
base, provide a reference for future decisions.
4. The Application of Data Mining in the Emergency
Logistics Information System
4.1 Theory analysis
The emergency logistics information system should be a
whole day operation. In peacetime, according to the
national policies and regulations, organize emergency
material suppliers and transporters to implement
information release and organization management work;
connect the national emergency material reserve base
together through the network easy to master the real-
time dynamic information of emergency material; manage
and analyze stored historical data in data base, summarize
various emergency events and corresponding emergency
material and the contact in the emergency disaster relief
activities. In case of emergency event, to effectively predict
the intensity, the extent of damage and so on; updated
development dynamic of emergency event, make
emergency command center can effectively control and
coordinate various departments’ work as well as make
each emergency services grasp the allocation situation
of emergency material and dynamic changes in the
disaster district at any time [5, 6].
Data mining refers to find data and knowledge valuable
but not yet been recognized from a large number of
complex data [7, 8]. These data and knowledge can meet
the needs of information demanders and provide them
decision support.
4.2 Application Steps of Data Mining in the Emergency
Logistics Information System
The emergency logistics information system wants to
achieve the above goals; it needs to be strong and flexible
database support. All kinds of data produced in the
emergency rescue process are stored in the database
after extraction, purification and selection, and then
according to the emergency department’s specific needs
use different analysis tools to obtain the required
information, express analysis result through the different
knowledge and modes, finally is used for auxiliary decision-
making. Database is the foundation of the emergency
logistics information system, supporting the each
subsystem of emergency logistics information system
[9ÿ10]. Data mining technology can find valuable
knowledge and information from the database of
emergency logistics information system presented visually.
Application steps of data mining technique in the
emergency logistics information system as shown in
Figure 2:
4.2.1 Data Preparation Stage
Emergency logistics data source includes emergency
material data source, emergency department data source,
emergency material production enterprise data source,
        Journal of Digital Information Management  Volume 12    Number  6     December    2014                            385
various ways data source and so forth, which are the data
preparation in the early data mining. Remove the noise
data in the massive data source through data integration,
extraction, and purification and selection means, complete
incomplete data in data source, extract the useful data in
the data source, and integrate the data, store it in a
database.
Figure 1. The composition of emergency logistics system
Figure 2. Application steps of data mining technique in the emergency logistics information system
Unconventional Emergency Event
Emergency Logistics Command Center
Emergency Logistics Center
Emergency Logistics Information
System
Material Reserve Warehouse
Emergency Material
Distribution Center
Emergency Rescue
Center
Disaster District
Raise Segment
Purchase
Segment
Reserve Segment
Transportation
Segment
Distribution
Segment
Recycle Segment
Early-warning
System
Reserve System
Distribution
System
Monitoring
System
Decision-making
System
Evaluation
System
Emergency Material Demand
Analysis
Emergency Material Project
Formulation
Specific Security Plan Formulation
Emergency Material Integrated
Dispatch
Information Flow
Material Supply and Demand
Information Collection
Earlywarning
subsystem
Reserve
subsystem
Distribution
subsystem
Monitoring
subsystem
Decision
making
subsystem
Evaluation
Subsystem
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Data mining technology Data mining technology Data mining technology
Emergency logistics information system
Relational
Model base
Plan base Model base Knowledge base
Multi
dimensional
data base
Various ways
data source
Emergency mate
rial data source
Emergency
department data
source
Emergency material
production enterprise
data source
Data base
Extraction, purification and selection of data
Data analysis
Data analysis Implementation plan Information extraction
Association rules               Decision-making tree              Genetic Algorithm         Clustering algorithm
386                       Journal of Digital Information Management  Volume 12    Number  6     December  2014
4.2.2 Data mining stage
This stage is the core part of the whole system.
Emergency logistics have multiple model bases. Relational
model base and multidimensional database conduct depth
data analysis mainly through the relationship between data,
and then classify data according to the rules; plan base
is mainly used for reserving various contingency plans
and implementation plan so that after the emergency event
happened to have an effective solution to deal with, to
reduce disorderly phenomena in the beginning of
emergency event; model base mainly build all kinds of
models, decision makers can choose suitable for the
current model to analyze the present situation according
to the specific situation of emergency logistics, to ensure
the accuracy of emergency decisions; knowledge base
mainly store some knowledge experience, for example,
summarize from the past successful experience in the
process of emergency logistics, the knowledge and
experience can provide reference for the implementation
of emergency rescue[11,12]. Database is also responsible
for data storage for these model bases, which makes data
large and complex. Data mining mainly find potential and
useful information and data for decision-making from the
database, and also obtain information and data directly
from these five model bases.
4.2.3 Results analysis statement and mining
applications stage
In the late of data mining, digging useful information is
intuitive showed through the visualization method and is
convenient for decision makers to understand and use;
obtain the useful part of mining results by screening and
evaluation means, and delivery to the emergency logistics
information system through the information flow, thus to
provide useful information for its 6 subsystem[13].
5. Conclusion
Data mining is applied to the construction of emergency
logistics information system, which can improve the
efficiency of emergency management. Data mining can
find potential, unknown but useful knowledge and
information from mass complex data. These knowledge
and information can constantly enrich and update the
emergency logistics information system, provide the
information they need for the emergency command
decision makers and related departments, so as to assist
decision makers to make emergency decisions.
Acknowledgement
Qinhuangdao City science and technology research and
development projects: 201101A471.
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Design of Decision-Making System of Emergency Logistics Information System Based on Data Mining

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Design of Decision-Making System of Emergency Logistics Information System Based on Data Mining

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