CN109190816A - A kind of goods distribution and release site selecting method based on GIS - Google Patents
A kind of goods distribution and release site selecting method based on GIS Download PDFInfo
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Abstract
A kind of goods distribution and release site selecting method based on GIS, in conjunction with GIS technology, distribution point Density Distribution situation, the actual distribution situation of urban road network and the actual conditions for preselecting the home-delivery center location gradient, obtain suitable goods distribution and release position based on GIS technology in certain region based on some city；The factor for influencing Location of Distribution Centre is more and complicated, such as orographic condition, logistics cost traffic, periphery situation etc., it influences each other between these factors, there is close connection, according to demand, this method overcomes existing Location of Distribution Centre mode only to consider that single factors influence or the route of home-delivery center to demand point are set as straight line and the mode that is not inconsistent with objective reality situation, the present invention considers to influence many factors of home-delivery center and combines the actual geographic situation in addressing region, it is high-efficient to provide a kind of addressing, the goods distribution and release site selecting method based on GIS to tally with the actual situation.
Description
Technical field
The present invention relates to a kind of geographic information data processing technique, computer application field, geography, technology of Internet of things,
Network analysis and Management Science and Engineering more particularly to a kind of goods distribution and release site selecting method based on GIS.
Background technique
With the rapid development of society, scientific and technological to be constantly progressive.People are increasingly enhanced the demand of commodity, it is domestic for
The market potential of home-delivery center is also increasing, and goods distribution and release plays particularly significant during rapid economic development
Role.As people are continuously increased commodity demand volume, the quantity of home-delivery center is also constantly increasing, endlessly
The dispatching of required commodity is provided for people, goods distribution and release meets in people's lives needs and sends out in the development for promoting society
Wave important role.
Due to the continuous expansion in commodity distribution market, cause the demand of home-delivery center also more and more, home-delivery center position
Addressing become an important topic of Delivery Co., Ltd's long-run development, whether the addressing of goods distribution and release position scientific and reasonable straight
Connect the earning performance for affecting dispatching efficiency and Delivery Co., Ltd.If the addressing of home-delivery center position is unreasonable, resource wave will cause
Take, or dispatching inefficiency, first will affect the income of dispatching Delivery Co., Ltd, it second can customer revenue.If home-delivery center
Addressing that can be scientific and reasonable, can greatly improve dispatching efficiency, make maximally utilizing for home-delivery center's resource, and it is public to increase dispatching
The profit of department helps Delivery Co., Ltd to expand market, facilitates the development of Delivery Co., Ltd.Influence Location of Distribution Centre factor it is more and
Complexity, such as orographic condition, logistics cost, transportation condition, surrounding condition etc. influence each other between these factors, have close
Connection.Therefore it needs according to demand, reasonable processing and analysis is made to these influence factors.Delivery Co., Ltd is to obtain interests
It maximizes, usually home-delivery center is arranged in traffic prosperity, the place that land price position is lower and topography is flat passes through comprehensive analysis
Numerous influence factors determine proper position.
Summary of the invention
In order to overcome existing Location of Distribution Centre mode only to consider that single factors influence or by home-delivery center to demand point
Route be set as straight line and the mode that is not inconsistent with objective reality situation, the present invention considers to influence many factors of home-delivery center simultaneously
In conjunction with the actual geographic situation in addressing region, the commodity distribution based on GIS that a kind of addressing is high-efficient, tallies with the actual situation is provided
Center location method, in conjunction with GIS technology, the distribution situation of the dispatching dot density based on urban area, the actual distribution of road network
Situation.
The technical solution adopted by the present invention to solve the technical problems is:
A kind of Site Selection Method of Distribution Center based on GIS, comprising the following steps:
1) it, by the road network data in certain region in some city, imports in ArcGIS Pro software, obtains road network point
Butut；
2) by certain Regional Hydrologic data in some city, terrain data is imported into ArcGIS software, obtains regional slope
Figure；
3) address of distribution point is imported ArcGIS Pro software by the dispatching point data for, extracting certain region in some city
In, the geographical coordinate on map is converted to, to obtain distribution point density profile；
4) the m pre- reconnaissance of distribution point high-density region, is generated, using these pre- reconnaissances as the first sieve of goods distribution and release
Reconnaissance, process are as follows:
4.1, the one day order total amount in some region street of some city is Pa, the swept area in the street is Sa, calculate
The street dispenses dot density:
Wherein KaFor the dispatching dot density in a articles street, a ∈ { 1,2 .., η }, η are the total number in the region street；
4.2, the region distribution point averag density is calculated:
WhereinFor the averag density of the distribution point in the region, KaFor the dispatching dot density in a articles street, a ∈ 1,
2 .., η }, η is the total number in the region street；
4.3, it repeats step 4.1 and step 4.2 calculates the region distribution dot density, whenWhen, it defines the area as matching
A high-density region is sent, K value is the standard density value of setting, obtains m distribution point high-density region, corresponding to generate m pre-selection
First screening point of the point as goods distribution and release addressing；
5), by the address of the pre- reconnaissance of m goods distribution and release, dot address is dispensed, road net data imports ArcGISPro software
In, under the support of GIS software, obtain the coordinate position of each goods distribution and release pre- reconnaissance and distribution point；
6), according to the pre- reconnaissance of goods distribution and release, the coordinate of distribution point calculates the pre- reconnaissance of i-th of goods distribution and release and arrives
The distance of j-th of distribution point, process are as follows:
If 6.1, do not have geographic gap point between the pre- reconnaissance of goods distribution and release and distribution point, distance function is indicated
Are as follows:
Wherein LijDistance function for the pre- reconnaissance of i-th of goods distribution and release to j-th of distribution point, (xi,yi) it is the i-th quotient
The coordinate position of the pre- reconnaissance of product home-delivery center, (xj,yj) be j-th of distribution point coordinate position, i ∈ { 1,2 .., m }, m are quotient
The number of the pre- reconnaissance of product home-delivery center；
If 6.2, have c geographic gap point between the pre- reconnaissance of goods distribution and release and distribution point, distance function is more
The minimal segment of distance function in a geographic gap point has the distance function of c geographic gap point to indicate are as follows:
Wherein LijDistance function for the pre- reconnaissance of i-th of goods distribution and release to j-th of distribution point, (xi,yi) it is the i-th quotient
The coordinate position of the pre- reconnaissance of product home-delivery center, (xj,yj) be j-th of distribution point coordinate position, (pt,dt) it is t-th of geographical resistance
The position of breakpoint, t ∈ { 1,2 .., c }, c indicate the number of geographic gap point, and i ∈ { 1,2 .., m }, m are goods distribution and release
The number of pre- reconnaissance；
7) it, is indicated from the pre- reconnaissance of goods distribution and release to the total Transportation Expenditure of distribution point are as follows:
Wherein Di(x, y) indicates the total Transportation Expenditure from the pre- reconnaissance of i-th of goods distribution and release to jth distribution point, eiIt indicates
Per unit weight is transported from the pre- reconnaissance of i-th of goods distribution and release to jth distribution point, the expense that per unit distance is spent, wi
Indicate the total volume of commodities disposably transported from the pre- reconnaissance of i-th of goods distribution and release to jth distribution point, Lij(x, y) is indicated from i-th
To the shortest distance function of jth distribution point, i ∈ { 1,2 .., m }, m are that goods distribution and release is pre- for a pre- reconnaissance of goods distribution and release
The number of reconnaissance；
8), by the hydrographic data in the region where the pre- reconnaissance of goods distribution and release, it is soft that terrain data imports ArcGIS Pro
In part, the slope grid data in the region is generated, obtains quotient using the Zonal Statisyics as Table tool of ArcGIS
The value of slope H in the pre- reconnaissance location of product home-delivery centeri, i ∈ { 1,2 .., m }, m are the number of the pre- reconnaissance of goods distribution and release, slope
Angle value HiSmaller explanation topography is more flat；
9), according to the road network dispatch in the pre- reconnaissance region of goods distribution and release, the quantity of distribution point, goods distribution and release is known
Name degree, the distribution point in the calculating region J patronize the probability of the goods distribution and release in the region I:
Wherein PIJIndicate that the distribution point in the region J patronizes the probability of the goods distribution and release in the region I, FIIndicate the commodity distribution
The popularity at center, TIJIndicate the region J distribution point to the region I goods distribution and release the time it takes, I ∈ 1,2 ..,
M }, J ∈ { 1,2 .., m }, m are the number of the pre- reconnaissance of goods distribution and release；
The area of the probability calculation of the goods distribution and release goods distribution and release is patronized according to distribution point:
Wherein SiFor the area of i-th of goods distribution and release,For the standard area of goods distribution and release, PIJIndicate the area J
The distribution point in domain patronizes the probability of the goods distribution and release in the region I, and i ∈ { 1,2 .., m }, m are the pre- reconnaissance of goods distribution and release
Number；
10), according to transport total cost, mean inclination patronizes rate, this four major influence factors of home-delivery center's area are come true
Determine distribution center location model, model expression is as follows:
Wi=r1Si+r2Hi+r3Pi+r4Di
W=minWi
Wherein WiFor the factor weighted value for influencing the pre- reconnaissance of i-th of goods distribution and release, DiIt indicates in i-th of commodity distribution
The total Transportation Expenditure of the pre- reconnaissance of the heart, PiIndicate the pre- reconnaissance of i-th of goods distribution and release patronizes rate, HiIndicate i-th of commodity distribution
The value of slope in the location of the pre- reconnaissance in center, SiIndicate the area of i-th of goods distribution and release, i ∈ { 1,2 .., m }, m are quotient
The number of the pre- reconnaissance of product home-delivery center；
The sequence that four influence factors in model are carried out to importance, according to number from big to small to its assignment, successively
It is 4,3,2,1, number is bigger to illustrate that importance is bigger, is played the role of bigger, finally importance value is normalized
Processing, obtains the weighted value of each influence factor, normalized processing formula is as follows:
Wherein rz, ezIt respectively indicates the weighted value of z-th of influence factor and indicates the numerical value of importance, z ∈ 1,2 ..,
4}；
11), according to the site selection model of home-delivery center, calculated the smallest W value, goods distribution and release representated by the value
Pre- reconnaissance is the addressing position of final goods distribution and release.
Further, in the step 7), total Transportation Expenditure is the smaller the better, illustrates the pre- reconnaissance position of goods distribution and release
Distance to distribution point is close, and in the step 7), value of slope is the smaller the better, illustrates that the position topography of goods distribution and release is flat
It is smooth.
Beneficial effects of the present invention are mainly manifested in: present invention combination GIS technology, are based on distribution point Density Distribution situation,
The actual distribution of road network and the actual distribution situation of the gradient propose a kind of reasonable Location of Distribution Centre side of addressing
Method.
Detailed description of the invention
Fig. 1 is a kind of goods distribution and release site selecting method flow chart based on GIS.
Fig. 2 is that region distribution point data imports generation distribution point density profile in ArcGIS Pro.
Fig. 3 is that area road road net data imported into generation road network distribution map in ArcGIS Pro.
Fig. 4 is Regional Hydrologic data, and terrain data imported into formation zone slope map in ArcGIS.
Fig. 5 is the final position effect picture of commodity Location of Distribution Centre in region.
Specific embodiment
The present invention is further described with reference to the accompanying drawing.
With reference to FIG. 1 to FIG. 5, a kind of goods distribution and release site selecting method based on GIS, comprising the following steps:
1) it, by the road network data in certain region in some city, imports in ArcGIS Pro software, obtains road network point
Butut is as shown in Figure 3；
2), by certain Regional Hydrologic data in some city, terrain data is imported into ArcGIS software, obtains regional slope
Figure is as shown in Figure 4；
3), the dispatching point data in certain region in some city is imported in ArcGIS Pro software, generates dispatching dot density
Distribution map is as shown in Figure 1；
4) the m pre- reconnaissance of distribution point high-density region, is generated, using these pre- reconnaissances as the first sieve of goods distribution and release
Reconnaissance, process are as follows:
4.1, the one day order total amount in some region street of some city is Pa, the swept area in the street is Sa, calculate
The street dispenses dot density:
Wherein KaFor the dispatching dot density in a articles street, a ∈ { 1,2 .., η }, η are the total number in the region street；
4.2, the region distribution point averag density is calculated:
WhereinFor the averag density of the distribution point in the region, KaFor the dispatching dot density in a articles street, a ∈ 1,2 ..,
η }, η is the total number in the region street；
4.3 repetition steps 3.1 and step 3.2 calculate the region distribution dot density, whenWhen, it defines the area as matching
A high-density region is sent, K value is the standard density value of setting, when the high-density region number undesirably number of generation,
It can be with the size of appropriate adjustment K value.M distribution point high-density region is obtained, it is corresponding to generate m pre- reconnaissances as home-delivery center's choosing
The first screening point of location；
5), by the address of the pre- reconnaissance of m goods distribution and release, dot address is dispensed, it is soft that road net data imports ArcGISPro
In part, under the support of GIS software, the coordinate position of each goods distribution and release pre- reconnaissance and distribution point is obtained；
6), according to the pre- reconnaissance of goods distribution and release, the coordinate of distribution point calculates the pre- reconnaissance of the i-th goods distribution and release to jth
The distance of a distribution point, process are as follows:
If 6.1, do not have geographic gap between the pre- reconnaissance of goods distribution and release and distribution point, distance function is indicated are as follows:
Wherein LijDistance function for the pre- reconnaissance of the i-th goods distribution and release to j-th of distribution point, (xi,yi) it is the i-th commodity
The coordinate position of the pre- reconnaissance of home-delivery center, (xj,yj) be jth distribution point coordinate position, i ∈ { 1,2 .., m }, m matches for commodity
Send the number of center budget point；
If 6.2, have c geographic gap between the pre- reconnaissance of goods distribution and release and distribution point, distance function is multiple
The minimal segment of distance function in geographic gap has the distance function of c geographic gap point to indicate are as follows:
Wherein LijDistance function for the pre- reconnaissance of the i-th goods distribution and release to j-th of distribution point, (xi,yi) it is the i-th commodity
The coordinate position of the pre- reconnaissance of home-delivery center, (xj,yj) be jth distribution point coordinate position, i ∈ { 1,2 .., m }, m matches for commodity
Send the number of center budget point, (pt,dt) be t-th of geographic gap point coordinate position, t ∈ { 1,2 .., c }, c indicate geographical
Block the number of point；
7) it, is indicated from the pre- reconnaissance of goods distribution and release to the total Transportation Expenditure of distribution point are as follows:
Wherein Di(x, y) indicates the total Transportation Expenditure from the pre- reconnaissance of i-th of goods distribution and release to j-th of distribution point, eiTable
Show the expense that the pre- reconnaissance of i-th of goods distribution and release is spent to j-th distribution point transport per unit weight, per unit distance,
wiIndicate the total volume of commodities that the pre- reconnaissance of i-th of goods distribution and release is once transported to j-th of distribution point, Lij(x, y) is indicated i-th
For the pre- reconnaissance of goods distribution and release to j-th of distribution point shortest distance function, i ∈ { 1,2 .., m }, m are goods distribution and release pre-selection
The number of point；
8), by the hydrographic data in the region where the pre- reconnaissance of goods distribution and release, terrain data imports ArcGISPro software
In, the slope grid data in the region is generated, obtains commodity using the Zonal Statisyics as Table tool of ArcGIS
The value of slope H in the pre- reconnaissance location of home-delivery centeri, i ∈ { 1,2 .., m }, m are the number of the pre- reconnaissance of goods distribution and release, the gradient
Value HiSmaller explanation topography is more flat；
9), according to the road network dispatch in the pre- reconnaissance region of goods distribution and release, distribution point quantity, goods distribution and release it is well-known
Degree, the distribution point in the calculating region J patronize the probability of the goods distribution and release in the region I:
Wherein PIJIndicate that the distribution point in the region J patronizes the probability of the goods distribution and release in the region I, FIIndicate the commodity distribution
The popularity at center, TIJIndicate the region J distribution point to the region I goods distribution and release the time it takes, I ∈ 1,2 ..,
M }, J ∈ { 1,2 .., m }, m are the number of the pre- reconnaissance of goods distribution and release；
The area of the probability calculation of the goods distribution and release goods distribution and release is patronized according to distribution point:
Wherein SiFor the area of i-th of goods distribution and release,For the standard area of goods distribution and release, PIJIndicate the region J
Distribution point patronize the region I goods distribution and release probability, i ∈ { 1,2 .., m }, m be the pre- reconnaissance of goods distribution and release
Number；
10), according to transport total cost, the gradient patronizes rate, this four major influence factors of goods distribution and release area are come true
Determine goods distribution and release site selection model, model expression is as follows:
Wi=r1Si+r2Hi+r3Pi+r4Di
W=minWi
Wherein WiFor the factor weighted value for influencing the pre- reconnaissance of i-th of goods distribution and release, DiIt indicates in i-th of commodity distribution
The total Transportation Expenditure of the heart, PiIndicate the rate of patronizing of i-th of goods distribution and release, HiIndicate the location of i-th of goods distribution and release
Value of slope, SiIndicate that the area of i-th of goods distribution and release, i ∈ { 1,2 .., m }, m are the pre- reconnaissance of goods distribution and release
Number；
The sequence that four influence factors in model are carried out to importance, according to number from big to small to its assignment, successively
It is 4,3,2,1, number is bigger to illustrate that importance is bigger, is played the role of bigger, finally importance value is normalized
Processing, obtains the weighted value of each influence factor, normalized processing formula is as follows:
Wherein rz, ezIt respectively indicates the weighted value of z-th of influence factor and indicates the numerical value of importance, z ∈ 1,2 ..,
4}；
11), according to the site selection model of goods distribution and release, calculated the smallest W value, commodity distribution representated by the value
The pre- reconnaissance in center is that the addressing position of final goods distribution and release is as shown in Figure 5.
Further, in the step 7), total Transportation Expenditure is the smaller the better, illustrates the pre- reconnaissance position of goods distribution and release
Distance to distribution point is close, and in the step 8), value of slope is the smaller the better, illustrates that the position topography of goods distribution and release is flat
It is smooth.
By taking the Xinyang city new district Yang Shan as an example, a kind of goods distribution and release site selecting method based on GIS, including following step
It is rapid:
1) it, by the Xinyang city new district Yang Shan road network data, imports in ArcGIS Pro software, obtains road network distribution
Figure；
2), by the hydrographic data in the Xinyang city new district Yang Shan, geodata imports in ArcGIS Pro software, obtains area
Domain slope map；
3) it, by the data of the distribution point in the Xinyang city new district Yang Shan, imports in ArcGIS Pro software, it is close to generate distribution point
Spend distribution map；
4) the m=10 pre- reconnaissance of distribution point high-density region, the first screening as goods distribution and release addressing, are generated
Point, process are as follows:
The 4.1 one day order total amount in the Xinyang city new district Yang Shan street are pa=2000, the swept area in the street is 5
Ten thousand square metres, calculate the street demand dot density:
Wherein KaFor the demand dot density in a articles street, a ∈ { 1,2 .., η }, η=20 are total item in the region street
Number；
4.2, the region distribution point averag density is calculated:
WhereinIt is the total of the region street for the averag density a ∈ { 1,2 .., η } of the distribution point in the region, η=20, η
Item number；
4.3 repetition steps 4.1 and step 4.2 calculate the region distribution dot density, whenWhen, it defines the area as dispensing
Point high-density region, K=0.6 is the standard density value of setting, when the high-density region number undesirably number of generation,
It can be with the size of appropriate adjustment K value.M distribution point high-density region is obtained, it is corresponding to generate m pre- reconnaissances as in commodity distribution
The first screening point of heart addressing；
5), by the address of the pre- reconnaissance of m=10 goods distribution and release, dot address is dispensed, road net data imports ArcGIS
In Pro software, under the support of GIS software, the coordinate position of each goods distribution and release pre- reconnaissance and distribution point is obtained；
6), according to the pre- reconnaissance of goods distribution and release, the coordinate of distribution point calculates the pre- reconnaissance of i-th of goods distribution and release and arrives
The distance of j-th of distribution point, process are as follows:
If 6.1, not having geographic gap between the pre- reconnaissance of goods distribution and release and distribution point, distance function is indicated are as follows:
Wherein LijDistance function for the pre- reconnaissance of the i-th goods distribution and release to j-th of distribution point, (xi,yi) it is the i-th commodity
The coordinate position of the pre- reconnaissance of home-delivery center, (xj,yj) be j-th of distribution point coordinate position, i ∈ { 1,2 .., m }, m=10, m
For the number of the pre- reconnaissance of goods distribution and release；
If 6.3, have c geographic gap between the pre- reconnaissance of goods distribution and release and distribution point, distance function is multiple
The minimal segment of distance function in geographic gap has c geographical the distance function of point is blocked to indicate are as follows:
Wherein LijDistance function for the pre- reconnaissance of the i-th goods distribution and release to j-th of distribution point, (xi,yi) it is the i-th commodity
The coordinate position of the pre- reconnaissance of home-delivery center, (xj,yj) be j-th of distribution point coordinate position, i ∈ { 1,2 .., m }, m=10, m
For the number of the pre- reconnaissance of goods distribution and release, (pt,dt) be t-th of geographic gap point position, t ∈ { 1,2 .., 4 }；
7) it, is indicated from the pre- reconnaissance of goods distribution and release to the total Transportation Expenditure of distribution point are as follows:
Wherein Di(x, y) indicates the total Transportation Expenditure from the pre- reconnaissance of i-th of goods distribution and release to j-th of distribution point, eiTable
Show from the pre- reconnaissance of i-th of goods distribution and release to j-th of distribution point and transports per unit weight, per unit apart from the expense spent
With wiIndicate the total volume of commodities once transported from the pre- reconnaissance of i-th of goods distribution and release to j-th of distribution point, Lij(x, y) is indicated
From the pre- reconnaissance of i-th of goods distribution and release to the shortest distance function of j-th of distribution point, i ∈ { 1,2 .., m }, m=10, m are
The number of the pre- reconnaissance of goods distribution and release；
8), by the hydrographic data in the region where the pre- reconnaissance of goods distribution and release, terrain data imports ArcGISPro software
In, generate the value of slope H in the pre- reconnaissance location of goods distribution and releasei, i ∈ { 1,2 .., m }, m=10, m are goods distribution and release
The number of pre- reconnaissance；
9), according to the road network dispatch in the pre- reconnaissance region of goods distribution and release, distribution point quantity, goods distribution and release it is well-known
Degree, the distribution point in the calculating region J patronize the probability of the goods distribution and release in I region:
Wherein PIJIndicate that the distribution point in the region J patronizes the probability of the goods distribution and release in the region I, FIIndicate the commodity distribution
The popularity at center, TIJIndicate the region J distribution point to the region I goods distribution and release the time it takes, I ∈ 1,2 ..,
M }, J ∈ { 1,2 .., m }, m=10, m are the number of the pre- reconnaissance of goods distribution and release；
The area of the probability calculation of the home-delivery center goods distribution and release is patronized according to distribution point:
Wherein SiFor the area of i-th of goods distribution and release,For the standard area of goods distribution and release, PIJIndicate the region J
Distribution point patronize the region I goods distribution and release probability；
10), according to transport total cost, value of slope patronizes rate, this four major influence factors of home-delivery center's area determine
Goods distribution and release site selection model, model expression are as follows:
Wi=r1Si+r2Hi+r3Pi+r4Di
W=minWi
Wherein WiFor the factor weighted value for influencing the pre- reconnaissance of i-th of goods distribution and release, DiIt indicates in i-th of commodity distribution
The total Transportation Expenditure of the heart, PiIndicate the rate of patronizing of i-th of goods distribution and release, HiIndicate the location of i-th of goods distribution and release
The gradient, SiIndicate that the area of i-th of goods distribution and release, i ∈ { 1,2 .., m }, m=10, m are goods distribution and release pre-selection
The number of point；
The sequence that four influence factors in model are carried out to importance, according to number from big to small to its assignment, successively
It is 4,3,2,1, number is bigger to illustrate that importance is bigger, is played the role of bigger, finally importance value is normalized
Processing, obtains the weighted value of each influence factor, normalized processing formula is as follows:
Wherein rz, ezIt respectively indicates the weighted value of z-th of influence factor and indicates the numerical value of importance, z ∈ 1,2 ..,
4}；
11), according to the site selection model of goods distribution and release, calculated the smallest W value, commodity distribution representated by the value
The pre- reconnaissance in center is the addressing position of final goods distribution and release.
Described above is the excellent results that one embodiment that the present invention provides shows, it is clear that the present invention not only fits
Above-described embodiment is closed, it can under the premise of without departing from essence spirit of the present invention and without departing from content involved by substantive content of the present invention
Many variations are done to it to be implemented.
Claims (1)
1. a kind of goods distribution and release site selecting method based on GIS, it is characterised in that: the described method comprises the following steps:
1) it, by the road network data in certain region in some city, imports in ArcGis Pro software, obtains road network distribution
Figure；
2) by certain Regional Hydrologic data in some city, terrain data is imported into ArcGIS software, obtains regional slope figure；
3) the dispatching point data for, extracting certain region in some city imports the address of distribution point in ArcGis Pro software, turns
The geographical coordinate being changed on map, to obtain distribution point density profile；
4) the m pre- reconnaissance of distribution point high-density region is generated, using these pre- reconnaissances as the first screening point of goods distribution and release,
Process is as follows:
4.1, the one day order total amount in some region street of some city is Pa, the swept area in the street is Sa, calculate the street
Road dispenses dot density:
Wherein KaFor the dispatching dot density in a articles street, a ∈ { 1,2 .., η }, η are the total number in the region street；
4.2, the region distribution point averag density is calculated:
WhereinFor the averag density a ∈ { 1,2 .., η } of the distribution point in the region, KaFor the dispatching dot density in a articles street, η
For the total number in the region street；
4.3 repetition steps 4.1 and step 4.2 calculate the region distribution dot density, whenWhen, define the area as distribution point
High-density region, K value are the standard density value of setting；M distribution point high-density region is obtained, it is corresponding to generate m pre- reconnaissances works
For the first screening point of goods distribution and release addressing；
5), by the address of the pre- reconnaissance of m goods distribution and release, dot address is dispensed, road net data imports ArcGis Pro software
In, under the support of GIS software, obtain the coordinate position of each goods distribution and release pre- reconnaissance and distribution point；
6), according to the pre- reconnaissance of goods distribution and release, the coordinate of distribution point calculates the pre- reconnaissance of i-th of goods distribution and release to j-th
The distance of distribution point, process are as follows:
If 6.1, not having geographic gap between the pre- reconnaissance of goods distribution and release and distribution point, distance function is indicated are as follows:
Wherein LijDistance function for the pre- reconnaissance of goods distribution and release to distribution point, (xi,yi) it is the pre- reconnaissance of goods distribution and release
Coordinate position, (xj,yj) be distribution point coordinate position, i ∈ { 1,2 .., m }, m be the pre- reconnaissance of goods distribution and release number；
If 6.2, have c geographic gap between the pre- reconnaissance of goods distribution and release and distribution point, distance function is multiple geography
The minimal segment for blocking distance function in point has distance function when c geographic gap point to indicate are as follows:
Wherein LijDistance function for the pre- reconnaissance of i-th of goods distribution and release to j-th of distribution point, (xi,yi) it is i-th of commodity
The coordinate position of the pre- reconnaissance of home-delivery center, (xj,yj) be j-th of distribution point coordinate position, (pt,dt) it is t-th of geographic gap
The position of point, t ∈ { 1,2 .., c }, c are the number for blocking point, and i ∈ { 1,2 .., m }, m are the pre- reconnaissance of goods distribution and release
Number；
7) it, is indicated from the pre- reconnaissance of goods distribution and release to the total Transportation Expenditure of distribution point are as follows:
Wherein Di(x, y) indicates the total Transportation Expenditure from the pre- reconnaissance of i-th of goods distribution and release to jth distribution point, eiIt indicates from the
The pre- reconnaissance of i goods distribution and release transports per unit weight, per unit apart from the expense spent, w to jth distribution pointiIt indicates
The total volume of commodities disposably transported from the pre- reconnaissance of i-th of goods distribution and release to jth distribution point, Lij(x, y) is indicated from i-th of quotient
For the pre- reconnaissance of product home-delivery center to the shortest distance function of jth distribution point, i ∈ { 1,2 .., m }, m are the pre- reconnaissance of goods distribution and release
Number；
8), by the hydrographic data in the region where the pre- reconnaissance of goods distribution and release, terrain data is imported in ArcGIS Pro software,
The slope grid data for generating the region obtains commodity using the Zonal Statisyics as Table tool of ArcGIS and matches
Send the value of slope H in the pre- reconnaissance location in centeri, i ∈ { 1,2 .., m }, m are the number of the pre- reconnaissance of goods distribution and release, value of slope
HiSmaller explanation topography is more flat；
9), according to the road network dispatch in the pre- reconnaissance region of goods distribution and release, distribution point quantity, the popularity of goods distribution and release,
Calculate the region J distribution point patronize I region goods distribution and release probability:
Wherein PIJIndicate that the distribution point in the region J patronizes the probability of the goods distribution and release in the region I, FIIndicate the goods distribution and release
Popularity, TIJIndicate the goods distribution and release the time it takes of the distribution point in the region J to the region I, I ∈ { 1,2 .., m }, J
∈ { 1,2 .., m }, m are the number of the pre- reconnaissance of goods distribution and release；
The area of the probability calculation of the goods distribution and release home-delivery center is patronized according to distribution point:
Wherein SiFor the area of i-th of goods distribution and release,For the standard area of goods distribution and release, PIJIndicate matching for the region J
The probability for a little patronizing the goods distribution and release in the region I is sent, i ∈ { 1,2 .., m }, m are the number of the pre- reconnaissance of goods distribution and release；
10) according to transport total cost, the gradient patronizes rate, this four major influence factors of home-delivery center's area determine that commodity are matched
Center location model is sent, model expression is as follows:
Wi=r1Si+r2Hi+r3Pi+r4Di
W=minWi
Wherein WiFor the factor weighted value for influencing the pre- reconnaissance of i-th of goods distribution and release, DiIndicate i-th of goods distribution and release
Total Transportation Expenditure, PiIndicate the rate of patronizing of i-th of goods distribution and release, HiIndicate the slope in the location of i-th of goods distribution and release
Angle value, SiIndicate that the area of i-th of goods distribution and release, i ∈ { 1,2 .., m }, m are the number of the pre- reconnaissance of goods distribution and release；
The sequence that four influence factors in model are carried out to importance is followed successively by 4 according to number from big to small to its assignment,
3,2,1, number is bigger to illustrate that importance is bigger, is played the role of bigger, finally importance value is normalized,
The weighted value of each influence factor is obtained, normalized processing formula is as follows:
Wherein rz, ezIt respectively indicates the weighted value of z-th of influence factor and indicates the numerical value of importance, z ∈ { 1,2 .., 4 }；
11), according to the site selection model of goods distribution and release, calculated the smallest W value, home-delivery center's pre-selection representated by the value
Point is the addressing position of final home-delivery center.
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| CN110555654A (en) * | 2019-08-30 | 2019-12-10 | 广州大学 | logistics distribution center site selection method and device for fresh food chain store in community |
| CN110659769A (en) * | 2019-08-19 | 2020-01-07 | 浙江工业大学 | Maximum coverage double-layer site selection optimization method based on GIS and immune algorithm |
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