CN109146264B - Vaccine resource configuration method and system - Google Patents

Vaccine resource configuration method and system Download PDF

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CN109146264B
CN109146264B CN201810869463.XA CN201810869463A CN109146264B CN 109146264 B CN109146264 B CN 109146264B CN 201810869463 A CN201810869463 A CN 201810869463A CN 109146264 B CN109146264 B CN 109146264B
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张池军
杜占玮
白媛
马创
高超
赵学华
张勋
刘名扬
张倩
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Jilin university of finance and economics
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Abstract

The invention discloses a method and a system for configuring vaccine resources, which are characterized in that administrative planning area division information of a city, population distribution data of urban residents and geographical position information of places meeting the vaccine distribution qualification are obtained; according to the administrative planning area, the geographic position information and the population distribution data in the places, all the places are divided into regions; constructing a profit evaluation model according to the principle that the travel distance of a place is shortest and the popularity index is highest; substituting the position information and the popularity index of each place into the income evaluation model to screen out vaccine distribution places; and distributing vaccine resources according to the screened vaccine distribution places. The method and the system disclosed by the invention can select the places with long distance as few as possible on the premise of optimal resource allocation, cover the living places as many as possible and realize the balanced distribution of vaccine resources.

Description

Vaccine resource configuration method and system
Technical Field
The invention relates to the crossing field of information technology and logistics distribution, in particular to a vaccine resource configuration method and a vaccine resource configuration system.
Background
Along with the globalization process and the development of society, the interaction between human societies is increasingly frequent, various novel infectious diseases are frequent, and the survival threat to human beings is not negligible. In cities with such large population, it is increasingly important to distribute a limited infectious disease vaccine (to prevent, slow down or even cure infectious disease) as quickly as possible in the city upon outbreak of the infectious disease. Therefore, reasonable strategies are urgently put forward, the problem of site selection of vaccine distribution points and the reasonable distribution quantity of vaccine resources are solved, the maximization of all-aspect benefits of people is realized, and all population coverage, social balance and high administrative management efficiency are achieved. The existing vaccine configuration scheme adopts 0-1 programming simply, mainly solves the problem of site selection of vaccine distribution points, but does not form a complete scheme for urban area balance, space balance of distribution places and how to configure limited vaccine resources.
Therefore, the prior art is subject to further improvement.
Disclosure of Invention
In view of the above disadvantages in the prior art, the present invention aims to provide a method and a system for configuring vaccine resources for a user, which overcome the disadvantages of unbalanced vaccine resource allocation and incomplete configuration scheme in the prior art.
The first implementation disclosed by the invention is a method for configuring vaccine resources, wherein the method comprises the following steps:
acquiring administrative planning area division information of a city, population distribution data of urban residents and geographical position information of places meeting the vaccine distribution qualification;
according to the administrative planning area, the geographic position information and the population distribution data in the places, all the places are divided into regions;
constructing a profit evaluation model according to the principle that the travel distance of a place is shortest and the popularity index is highest;
substituting the position information and the popularity index of each place into the income evaluation model to screen out vaccine distribution places;
and distributing vaccine resources according to the screened vaccine distribution places.
Optionally, the step of constructing the profit evaluation model according to the principle that the travel distance of the location is shortest and the popularity index is highest includes:
defining an evaluation function:
Figure GDA0003352638000000021
wherein, acciRepresenting the reachability of the ith location, acci＝∑jFjBiRioij；FjIs the number of resident population in the jth location, BiIs the brand reputation, R, of the ith locationiRepresents the prestige of the ith site itself; let oij＝1/dij 2Wherein d isijRepresents the distance between the ith and jth sites; x is the number ofiSetting x representing the number of vaccine dispenses to the ith siteiHas a value range of
Figure GDA0003352638000000022
Figure GDA0003352638000000023
Is a functional penalty term, wherein, assuming a total of K administrative divisions,
Figure GDA0003352638000000024
indicating a medicine distribution amount at the mth site in the w-th administrative district; beta represents the influence degree of the function penalty term;
Figure GDA0003352638000000025
is an index function. When x isiWhen the value is less than xi, the value is 1, otherwise, the value is 0;
Figure GDA0003352638000000026
is an index function. When x isjWhen the value is less than xi, the value is 1, otherwise, the value is 0; x is the number ofjRepresents the vaccine distribution quantity of the jth site, wherein the parameters alpha, beta,
Figure GDA0003352638000000027
And xi are all preset parameters.
Optionally, the configuration method further includes:
collecting a traffic data set of a city, and analyzing population distribution data of urban residents according to the traffic data set;
and collecting the sites meeting the vaccine distribution qualification and the corresponding popularity indexes thereof.
Optionally, the step of substituting the location information and the popularity index of each location into the profit evaluation model to screen out vaccine distribution locations includes:
according to preset parameters alpha, beta,
Figure GDA0003352638000000031
And xi, solving the evaluation function corresponding to the income evaluation model by using a quasi-Newton method.
Optionally, the preset parameter α is 0.01, β is 0.01,
Figure GDA0003352638000000032
and ξ 1000.
The second embodiment of the present invention discloses a vaccine resource allocation system, which includes:
the information acquisition module is used for acquiring administrative planning area division information of a city, population distribution data of urban residents and geographical position information of a place meeting the vaccine distribution qualification;
the region division module is used for carrying out region division on each place according to the administrative planning area of the place, the geographic position information and the population distribution data in the place;
the model building module is used for building a profit evaluation model according to the principle that the travel distance of a place is shortest and the popularity index is highest;
the place screening module is used for substituting the position information and the popularity index of each place into the income evaluation model to screen out vaccine distribution places;
and the resource distribution module is used for distributing the vaccine resources according to the screened vaccine distribution places.
Optionally, the model building module includes: a module function definition unit;
the module function definition unit is used for defining an evaluation function:
Figure GDA0003352638000000033
wherein, acciRepresenting the reachability of the ith location, acci＝∑jFjBiRioij；FjIs the number of resident population in the jth location, BiIs the brand reputation, R, of the ith locationiRepresents the prestige of the ith site itself; let oij＝1/dij 2Wherein d isijRepresents the distance between the ith and jth sites; x is the number ofiSetting x representing the number of vaccine dispenses to the ith siteiHas a value range of
Figure GDA0003352638000000041
Figure GDA0003352638000000042
Is a functional penalty term, wherein, assuming a total of K administrative divisions,
Figure GDA0003352638000000043
indicating a medicine distribution amount at the mth site in the w-th administrative district; beta represents the influence degree of the function penalty term;
Figure GDA0003352638000000044
is an index function; when in usexiWhen the value is less than xi, the value is 1, otherwise, the value is 0;
Figure GDA0003352638000000045
is an index function; when x isjWhen the value is less than xi, the value is 1, otherwise, the value is 0; sigmaixiEqual to the total amount of vaccine available for distribution; x is the number ofjRepresents the vaccine distribution quantity of the jth site, wherein the parameters alpha, beta,
Figure GDA0003352638000000046
And xi are all preset parameters.
Optionally, the system further includes:
the system comprises an initial data collection module, a data analysis module and a data analysis module, wherein the initial data collection module is used for collecting a traffic data set of a city and analyzing population distribution data of urban residents according to the traffic data set; and collecting the sites meeting the vaccine distribution qualification and the corresponding popularity indexes thereof.
Optionally, the place screening module includes:
a calculating unit for calculating the parameters alpha, beta,
Figure GDA0003352638000000047
And xi, solving the evaluation function corresponding to the income evaluation model by using a quasi-Newton method.
Optionally, the preset parameters in the computing unit are respectively α ═ 0.01, β ═ 0.01,
Figure GDA0003352638000000048
and ξ 1000.
The invention has the beneficial effects that the invention discloses a method and a system for configuring vaccine resources, which are characterized in that the administrative planning area division information of a city, the population distribution data of urban residents and the geographic position information of a place meeting the vaccine distribution qualification are obtained; according to the administrative planning area, the geographic position information and the population distribution data in the places, all the places are divided into regions; constructing a profit evaluation model according to the principle that the travel distance of a place is shortest and the popularity index is highest; substituting the position information and the popularity index of each place into the income evaluation model to screen out vaccine distribution places; and distributing vaccine resources according to the screened vaccine distribution places. The method and the system disclosed by the invention can select the places with long distance as few as possible on the premise of optimal resource allocation, cover the living places as many as possible and realize the balanced distribution of vaccine resources.
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FIG. 1 is a flow chart of the steps of a method for allocating vaccine resources according to the present invention;
FIG. 2 is a schematic diagram of site location distribution in the practice of the method of the present invention;
fig. 3 is a schematic structural diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The first embodiment disclosed in the present invention is a method for configuring vaccine resources, as shown in fig. 1, including:
and step S1, acquiring administrative planning area division information of the city, population distribution data of urban residents and geographic position information of places meeting the vaccine distribution qualification.
In order to optimally distribute vaccines according to population and regional conditions in a city, relevant data of population and regional information in the city needs to be obtained first in the step, and vaccine distribution is performed according to the relevant data information.
And step S2, dividing each place into regions according to the administrative planning area, the geographical location information and the population distribution data in the place.
And acquiring administrative planning area information of the city, counting places which accord with the vaccine distribution qualification and are contained in each area according to the position information of the places which accord with the vaccine distribution qualification, and dividing the regions of each place according to population distribution data in the places.
And S3, constructing a profit evaluation model according to the principle that the travel distance of the place is shortest and the popularity index is highest.
And constructing a profit evaluation model according to the principle that the travel distance from the resident to the place is shortest and the popularity index of the place is highest. The profit evaluation model is used for selecting a place with a short distance between residents and reasonably distributing vaccines from a plurality of vaccine distribution places so as to cover as many areas and crowds as possible.
And S4, substituting the position information and the popularity index of each place into the profit evaluation model, and screening out vaccine distribution places.
And substituting the position information of the place and the popularity index of the residents to the place into the income evaluation model, and screening out a better vaccine distribution place. The preferred vaccine delivery location is one where the travel distance of the resident to the location is relatively minimal and where the popularity index is relatively high.
And step S5, distributing the vaccine resources according to the screened vaccine distribution places.
And distributing the vaccine resources according to the vaccine distribution places screened in the steps.
Specifically, the step of constructing a profit evaluation model according to the principle that the travel distance of the location is shortest and the popularity index is highest in step S3 includes:
defining an evaluation function:
Figure GDA0003352638000000061
wherein, acciRepresenting the reachability of the ith location, acci＝∑jFjBiRioij；FjIs the number of resident population in the jth location, BiIs the brand reputation, R, of the ith locationiRepresents the prestige of the ith site itself; let oij＝1/dij 2Wherein d isijRepresents the distance between the ith and jth sites; x is the number ofiSetting x representing the number of vaccine dispenses to the ith siteiHas a value range of
Figure GDA0003352638000000062
Figure GDA0003352638000000063
Is a functional penalty term, wherein, assuming a total of K administrative divisions,
Figure GDA0003352638000000064
indicating a medicine distribution amount at the mth site in the w-th administrative district; beta represents the influence degree of the function penalty term; for example, the 34 th site is the 8 th site in the 5 th administrative district, and is denoted as
Figure GDA0003352638000000071
Is equal to x34。
Figure GDA0003352638000000072
Is an index function; when x isiWhen the value is less than xi, the value is 1, otherwise, the value is 0;
Figure GDA0003352638000000073
is an index function; when x isjWhen the value is less than xi, the value is 1, otherwise, the value is 0; m represents the total amount of vaccine available for distribution, sigmaixi＝M。
It is conceivable that, in order to obtain the urban resident population distribution data accurately in the step S1 and calculate according to the popularity index in the step S4, the step is preceded by:
collecting a traffic data set of a city, and analyzing population distribution data of urban residents according to the traffic data set;
and collecting the sites meeting the vaccine distribution qualification and the corresponding popularity indexes thereof.
Because the travel data of the residents are closely related to the distribution state of the positions of the residents, the population distribution data of the residents can be analyzed from the traffic data of the residents.
Meanwhile, places with vaccine distribution qualification in the vaccine distribution network can be collected, the evaluation of the user on each place is obtained from a public evaluation network or other user evaluation systems, and the corresponding popularity index is analyzed according to the evaluation of the user on each place.
Further, the step of substituting the location information and the popularity index of each place into the profit evaluation model to screen out vaccine distribution places includes:
according to preset parameters alpha, beta,
Figure GDA0003352638000000074
And xi and M, solving the evaluation function corresponding to the income evaluation model by using a quasi-Newton method.
Preferably, the preset parameter α is 0.01, β is 0.01,
Figure GDA0003352638000000075
ξ -1000 and M-100000.
Specifically, the following examples are given as examples of specific applications thereof.
The experimental data is collected from a certain urban traffic data set as population distribution data of 300 resident residential sites. Located in 15 administrative areas 2036 large sites (hospitals, community clinics, pharmacies, school toilets, etc.) in a city as potential vaccine distribution sites. For BiThe method is characterized in that the method is the ith place, the popularity of the ith place is acquired through a public comment network to serve as the reputation of the ith place, and the total place number of brands serves as a reference factor of the popularity index of the ith place.
According to the location addressing and resource allocation method, setting parameters alpha to 0.01 and beta to 0.01,
Figure GDA0003352638000000081
ξ -1000 and M-100000 by Quasi-Newton Method (pseudo)Newton method), as shown in fig. 2, 371 sites are finally selected, covering 87.5% of residential sites, and there are almost no two sites within a distance of 1000.
By adopting the site selection and resource allocation method, on the premise of optimal resource allocation, sites with long distance can be selected as few as possible, living sites can be covered as many as possible, and site selection and resource allocation of vaccine distribution sites can be completed.
A second embodiment of the disclosure is a vaccine resource allocation system, as shown in fig. 3, including:
the information acquisition module 310 is used for acquiring administrative planning area division information of a city, population distribution data of urban residents and geographic position information of a place meeting the vaccine distribution qualification; the function thereof corresponds to step S1.
The region division module 320 is configured to divide regions of the places according to administrative planning areas of the places, geographic location information, and population distribution data in the places; the function thereof corresponds to step S2.
The model building module 330 is used for building a profit evaluation model according to the principle that the travel distance of a place is shortest and the popularity index is highest; the function thereof corresponds to step S3.
The site screening module 340 is used for substituting the position information and the popularity index of each site into the income evaluation model to screen out vaccine distribution sites; the function thereof corresponds to step S4.
And a resource allocation module 350, configured to allocate vaccine resources according to the screened vaccine distribution places. The function thereof corresponds to step S5.
Specifically, the model building module 330 includes: a module function definition unit;
the module function definition unit is used for defining an evaluation function:
Figure GDA0003352638000000091
wherein, acciRepresenting the reachability of the ith location, acci＝∑jFjBiRioij；FjIs the number of resident population in the jth location, BiIs the brand reputation, R, of the ith locationiRepresents the prestige of the ith site itself; let oij＝1/dij 2Wherein d isijRepresents the distance between the ith and jth sites; x is the number ofiSetting x representing the number of vaccine dispenses to the ith siteiHas a value range of
Figure GDA0003352638000000092
Figure GDA0003352638000000093
Is a functional penalty term, wherein, assuming a total of K administrative divisions,
Figure GDA0003352638000000094
indicating a medicine distribution amount at the mth site in the w-th administrative district; beta represents the influence degree of the function penalty term;
Figure GDA0003352638000000095
is an index function; when x isiWhen the value is less than xi, the value is 1, otherwise, the value is 0;
Figure GDA0003352638000000096
is an index function; when x isjWhen the value is less than xi, the value is 1, otherwise, the value is 0; sigmaixiEqual to the total amount of vaccine available for distribution; x is the number ofjRepresents the vaccine distribution quantity of the jth site, wherein the parameters alpha, beta,
Figure GDA0003352638000000097
And xi are all preset parameters.
Further, the system further comprises:
the system comprises an initial data collection module, a data analysis module and a data analysis module, wherein the initial data collection module is used for collecting a traffic data set of a city and analyzing population distribution data of urban residents according to the traffic data set; and collecting the sites meeting the vaccine distribution qualification and the corresponding popularity indexes thereof.
Specifically, the site screening module comprises:
a calculating unit for calculating the parameters alpha, beta,
Figure GDA0003352638000000098
And xi and M, solving the evaluation function corresponding to the income evaluation model by using a quasi-Newton method.
Optionally, the preset parameters in the computing unit are respectively α ═ 0.01, β ═ 0.01,
Figure GDA0003352638000000101
ξ -1000 and M-100000.
The invention discloses a method and a system for configuring vaccine resources, which are characterized in that administrative planning area division information of a city, population distribution data of urban residents and geographical position information of places meeting the vaccine distribution qualification are obtained; according to the administrative planning area, the geographic position information and the population distribution data in the places, all the places are divided into regions; constructing a profit evaluation model according to the principle that the travel distance of a place is shortest and the popularity index is highest; substituting the position information and the popularity index of each place into the income evaluation model to screen out vaccine distribution places; and distributing vaccine resources according to the screened vaccine distribution places. The method and the system disclosed by the invention can select the places with long distance as few as possible on the premise of optimal resource allocation, cover the living places as many as possible and realize the balanced distribution of vaccine resources.
It should be understood that equivalents and modifications of the technical solution and inventive concept thereof may occur to those skilled in the art, and all such modifications and alterations should fall within the scope of the appended claims.

Claims (8)

1. A method for allocating vaccine resources, comprising:
acquiring administrative planning area division information of a city, population distribution data of urban residents and geographical position information of places meeting the vaccine distribution qualification;
according to the administrative planning area, the geographic position information and the population distribution data in the places, all the places are divided into regions;
constructing a profit evaluation model according to the principle that the travel distance of a place is shortest and the popularity index is highest;
substituting the position information and the popularity index of each place into the income evaluation model to screen out vaccine distribution places;
distributing vaccine resources according to the screened vaccine distribution places;
the step of constructing the profit evaluation model according to the principle that the travel distance of the place is shortest and the popularity index is highest comprises the following steps:
defining an evaluation function:
Figure FDA0003352637990000011
wherein, acciRepresenting the reachability of the ith location, acci＝∑jFjBiRioij；FjIs the number of resident population in the jth location, BiIs the brand reputation, R, of the ith locationiRepresents the prestige of the ith site itself; let oij＝1/dij 2Wherein d isijRepresents the distance between the ith and jth sites; x is the number ofiSetting x representing the number of vaccine dispenses to the ith siteiHas a value range of
Figure FDA0003352637990000012
Figure FDA0003352637990000013
Is a function penalty term, wherein, K administrative regions are shared,
Figure FDA0003352637990000014
indicating a medicine distribution amount at the mth site in the w-th administrative district; beta represents the influence degree of the function penalty term;
Figure FDA0003352637990000015
is an index function; when x isiWhen the value is less than xi, the value is 1, otherwise, the value is 0;
Figure FDA0003352637990000016
is an index function; when x isjWhen the value is less than xi, the value is 1, otherwise, the value is 0; sigmaixiEqual to the total amount of vaccine available for distribution; x is the number ofjRepresents the vaccine distribution quantity of the jth site, wherein the parameters alpha, beta,
Figure FDA0003352637990000021
And xi are all preset parameters.
2. The method for configuring vaccine resources according to claim 1, further comprising:
collecting a traffic data set of a city, and analyzing population distribution data of urban residents according to the traffic data set;
and collecting the sites meeting the vaccine distribution qualification and the corresponding popularity indexes thereof.
3. The method for allocating vaccine resources according to claim 1, wherein the step of screening vaccine distribution sites by substituting the location information of each site and its popularity index into the profit evaluation model includes:
according to preset parameters alpha, beta,
Figure FDA0003352637990000022
And xi, solving the evaluation function corresponding to the income evaluation model by using a quasi-Newton method.
4. The method for configuring vaccine resource according to claim 3, wherein the preset parameters α -0.01, β -0.01,
Figure FDA0003352637990000023
and ξ 1000.
5. A vaccine resource allocation system, comprising:
the information acquisition module is used for acquiring administrative planning area division information of a city, population distribution data of urban residents and geographical position information of a place meeting the vaccine distribution qualification;
the region division module is used for carrying out region division on each place according to the administrative planning area of the place, the geographic position information and the population distribution data in the place;
the model building module is used for building a profit evaluation model according to the principle that the travel distance of a place is shortest and the popularity index is highest;
the place screening module is used for substituting the position information and the popularity index of each place into the income evaluation model to screen out vaccine distribution places;
the resource distribution module is used for distributing vaccine resources according to the screened vaccine distribution places;
the model building module comprises: a module function definition unit;
the module function definition unit is used for defining an evaluation function:
Figure FDA0003352637990000031
wherein, acciRepresenting the reachability of the ith location, acci＝∑jFjBiRioij；FjIs the number of resident population in the jth location, BiIs the brand reputation, R, of the ith locationiRepresents the prestige of the ith site itself; let oij＝1/dij 2Wherein d isijRepresents the distance between the ith and jth sites; x is the number ofiSetting x representing the number of vaccine dispenses to the ith siteiHas a value range of
Figure FDA0003352637990000032
Figure FDA0003352637990000033
Is a function penalty term, wherein, K administrative regions are shared,
Figure FDA0003352637990000034
indicating a medicine distribution amount at the mth site in the w-th administrative district; beta represents the influence degree of the function penalty term;
Figure FDA0003352637990000035
is an index function; when x isiWhen the value is less than xi, the value is 1, otherwise, the value is 0;
Figure FDA0003352637990000036
is an index function; when x isjWhen the value is less than xi, the value is 1, otherwise, the value is 0; sigmaixiEqual to the total amount of vaccine available for distribution; x is the number ofjRepresents the vaccine distribution quantity of the jth site, wherein the parameters alpha, beta,
Figure FDA0003352637990000037
And xi are all preset parameters.
6. The vaccine resource configuration system of claim 5, further comprising:
the system comprises an initial data collection module, a data analysis module and a data analysis module, wherein the initial data collection module is used for collecting a traffic data set of a city and analyzing population distribution data of urban residents according to the traffic data set; and collecting the sites meeting the vaccine distribution qualification and the corresponding popularity indexes thereof.
7. The vaccine resource configuration system according to claim 5, wherein the site screening module comprises:
a calculating unit for calculating the parameters alpha, beta,
Figure FDA0003352637990000038
And xi, solving the evaluation function corresponding to the income evaluation model by using a quasi-Newton method.
8. The vaccine resource configuration system according to claim 7, wherein the preset parameters in the computing unit are α -0.01, β -0.01,
Figure FDA0003352637990000041
and ξ 1000.
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000077708A1 (en) * 1999-06-14 2000-12-21 C#Minor Software, Inc. Method and apparatus for managing distributed trading
CN102332122A (en) * 2011-10-18 2012-01-25 东南大学 Layout optimization method for urban public bicycle rental stations
CN103839118A (en) * 2014-03-24 2014-06-04 中国科学院生态环境研究中心 Site selection method and device
CN103942669A (en) * 2014-04-29 2014-07-23 吉林财经大学 Logistic goods distributing method based on social networking services
CN105413939A (en) * 2016-01-05 2016-03-23 镇江市高等专科学校 Scenic region fountain control method based on regional division
CN106846208A (en) * 2017-01-21 2017-06-13 广东迈科医学科技有限公司 A kind of whole process based on vaccine minimum package unit is traced to the source safety management system
CN107316098A (en) * 2017-05-19 2017-11-03 芜湖恒天易开软件科技股份有限公司 A kind of automobile leasing point site selecting method based on user behavior analysis

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000077708A1 (en) * 1999-06-14 2000-12-21 C#Minor Software, Inc. Method and apparatus for managing distributed trading
CN102332122A (en) * 2011-10-18 2012-01-25 东南大学 Layout optimization method for urban public bicycle rental stations
CN103839118A (en) * 2014-03-24 2014-06-04 中国科学院生态环境研究中心 Site selection method and device
CN103942669A (en) * 2014-04-29 2014-07-23 吉林财经大学 Logistic goods distributing method based on social networking services
CN105413939A (en) * 2016-01-05 2016-03-23 镇江市高等专科学校 Scenic region fountain control method based on regional division
CN106846208A (en) * 2017-01-21 2017-06-13 广东迈科医学科技有限公司 A kind of whole process based on vaccine minimum package unit is traced to the source safety management system
CN107316098A (en) * 2017-05-19 2017-11-03 芜湖恒天易开软件科技股份有限公司 A kind of automobile leasing point site selecting method based on user behavior analysis

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
"Online vaccines and immunizations service based on resource management techniques in cloud computing";Vizhi,T 等;《BIOMEDICAL RESEARCH-INDIA》;20161231;第27卷;第S392-S399页 *
"应急物资动态优化调度问题研究";刘珊珊;《中国优秀硕士学位论文全文数据库-信息科技辑》;20170315(第03期);第I138-18页 *

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