CN110070237A - Cargo distribution calculation method based on goods delivery point, measurement of cargo and vehicle - Google Patents
Cargo distribution calculation method based on goods delivery point, measurement of cargo and vehicle Download PDFInfo
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- CN110070237A CN110070237A CN201910373601.XA CN201910373601A CN110070237A CN 110070237 A CN110070237 A CN 110070237A CN 201910373601 A CN201910373601 A CN 201910373601A CN 110070237 A CN110070237 A CN 110070237A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
Abstract
The invention discloses the cargo distribution calculation methods based on goods delivery point, measurement of cargo and vehicle, it is characterized in that, the following steps are included: S1, all available information of vehicles of input, the loading space including vehicle, the corresponding vehicle fleet size upper limit of each vehicle and each vehicle；S2, volume or weight is filtered out greater than maximum vehicle capacity, close to reject in list from intelligence and transfer to artificial treatment；S3, vehicle sequence volume descending sort is pressed to vehicle, (l=1,2,3 ... t) by output vehicle Sorted list L (L={ 1,2,3 ... t }) and corresponding vehicle upper limit quantity Kl；S4, input dispatching area information A (A={ 1,2,3 ... m }) and it is all do not close single DO order information D (D={ 1,2,3 ... n }), DO order information include volume Vd, weight qd and destination da.Location information of the present invention by cargo, navigation software improve the prestowage rate and average kilometer benefit of bicycle by reasonable prestowage algorithm by the analysis to configuration data early period in conjunction with attributes such as the attribute of all kinds of kinds of goods and vehicle loads.
Description
Technical field
The present invention relates to part load consolidating the load intelligent stowage algorithmic technique fields, are specially based on goods delivery point, measurement of cargo
With the cargo distribution calculation method of vehicle.
Background technique
With being continuously increased for the volume of goods transported, each logistics company, storage dispensing company starts to expand transport power, so as to cause certainly
The increase of body operation cost, how accurately to expand, deploy transport power, allow each car reach maximum return become each logistics and
Delivery Co., Ltd's problem to be solved, the means of distribution of existing Logistic Park are according to the volume of total waybill amount, and probably estimation makes
With type of vehicle and quantity, carry out vehicle loading.Such way ensure that the delivery rate of cargo, but due to not calculating accurately
It is planned with the classification of route, leads to that vehicle cargo is discontented, freight hold transportation range is too long, lead to the rising of transportation cost therefore,
Needing one kind more scientific prestowage of conjunction list and layout of roads method also can be well while ensureing goods handling rate
Unnecessary transport power waste in transportational process is reduced, to improve the profit margin of logistics company.We go out to match based on cargo thus
The cargo distribution calculation method for sending point, measurement of cargo and vehicle, for solving the above problems.
Summary of the invention
The purpose of the present invention is to provide the cargo distribution calculation method based on goods delivery point, measurement of cargo and vehicle,
To solve the problems mentioned in the above background technology.
To achieve the above object, the invention provides the following technical scheme: based on goods delivery point, measurement of cargo and vehicle
Cargo distribution calculation method, which comprises the following steps:
S1, all available information of vehicles of input, including vehicle, the corresponding vehicle fleet size upper limit of each vehicle and each vehicle
Loading space；
S2, volume or weight is filtered out greater than maximum vehicle capacity, close to reject in list from intelligence and transfer to artificial treatment；
S3, vehicle sequence volume descending sort is pressed to vehicle, export vehicle Sorted list L (L={ 1,2,3 ... t }), and corresponding
Vehicle upper limit quantity Kl (l=1,2,3 ... t)；
S4, input dispatching area information A (A={ 1,2,3 ... m }) and it is all do not close single DO order information D (D=1,2,
3 ... n }), DO order information includes volume Vd, weight qd and destination da；
S5, order is pressed as m class by region division according to order destination coordinate, m class order is dropped by volume respectively
Sequence sequence, m order sequence d of output (da (z)≤... da (2)≤da (1) z represents the quantity on order in each region, and z is every
A region may be different)；
S6, first sequence is taken out from order sequence, order therein is fitted into the top vehicle in vehicle sequence L
In, next order in the region is selected if the not lower order of the vehicle loading, if minimum volume in the region
Order is all unable to satisfy the residual volume of the vehicle, then the order chosen in the field in the region is put into；If do not had in areas
The residual volume for having an order to meet the vehicle then chooses next vehicle prestowage, and vehicle loading finishes, and the prestowage for exporting the vehicle is ordered
It is single.
Compared with prior art, the beneficial effects of the present invention are: by the location information of cargo, navigation software, in conjunction with each
The attributes such as the attribute and vehicle load of class kinds of goods are mentioned by the analysis to configuration data early period by reasonable prestowage algorithm
The prestowage rate of high bicycle and average kilometer benefit.It is analyzed via data, list is closed using intelligent stowage algorithm and closes list compared to artificial,
The mean square of intelligent stowage is higher by 31.27% than manually closing single mean square；The different vehicle of vehicle of the same race on the same day
The standard deviation of poll is loaded, the standard deviation of intelligent stowage is single 37.81% of artificial conjunction；Loading of the same vehicle in not same date
Poll standard deviation, the standard deviation of intelligent stowage are single 30.46% of artificial conjunction；Intelligent stowage is obtained compared to artificial He Danshi company
Profit increases by 45.41%.
Detailed description of the invention
Fig. 1 is flow chart of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, the cargo distribution calculation method based on goods delivery point, measurement of cargo and vehicle, which is characterized in that
The following steps are included:
S1, all available information of vehicles of input, including vehicle, the corresponding vehicle fleet size upper limit of each vehicle and each vehicle
Loading space；
S2, volume or weight is filtered out greater than maximum vehicle capacity, close to reject in list from intelligence and transfer to artificial treatment；
S3, vehicle sequence volume descending sort is pressed to vehicle, export vehicle Sorted list L (L={ 1,2,3 ... t }), and corresponding
Vehicle upper limit quantity Kl (l=1,2,3 ... t)；
S4, input dispatching area information A (A={ 1,2,3 ... m }) and it is all do not close single DO order information D (D=1,2,
3 ... n }), DO order information includes volume Vd, weight qd and destination da；
S5, order is pressed as m class by region division according to order destination coordinate, m class order is dropped by volume respectively
Sequence sequence, m order sequence d of output (da (z)≤... da (2)≤da (1) z represents the quantity on order in each region, and z is every
A region may be different)；
S6, first sequence is taken out from order sequence, order therein is fitted into the top vehicle in vehicle sequence L
In, next order in the region is selected if the not lower order of the vehicle loading, if minimum volume in the region
Order is all unable to satisfy the residual volume of the vehicle, then the order chosen in the field in the region is put into；If do not had in areas
The residual volume for having an order to meet the vehicle then chooses next vehicle prestowage, and vehicle loading finishes, and the prestowage for exporting the vehicle is ordered
It is single.
Location information of the present invention by cargo, navigation software belong in conjunction with the attribute of all kinds of kinds of goods and vehicle load etc.
Property, by the analysis to configuration data early period, the prestowage rate and average kilometer benefit of bicycle are improved by reasonable prestowage algorithm.
It is analyzed via data, list is closed using intelligent stowage algorithm and closes list compared to artificial, the mean square of intelligent stowage is than manually closing
Single mean square is high by 31.27%；The different vehicle of vehicle of the same race loads the standard deviation of poll, the mark of intelligent stowage on the same day
Quasi- difference is single 37.81% of artificial conjunction；In the loading poll standard deviation of not same date, the standard deviation of intelligent stowage is same vehicle
It is artificial to close single 30.46%；Intelligent stowage obtains profit compared to artificial He Danshi company and increases by 45.41%.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (1)
1. the cargo distribution calculation method based on goods delivery point, measurement of cargo and vehicle, which is characterized in that including following step
It is rapid:
S1, all available information of vehicles of input, the loading including vehicle, the corresponding vehicle fleet size upper limit of each vehicle and each vehicle
Space；
S2, volume or weight is filtered out greater than maximum vehicle capacity, close to reject in list from intelligence and transfer to artificial treatment；
S3, vehicle sequence volume descending sort is pressed to vehicle, export vehicle Sorted list L (L={ 1,2,3 ... t }) and corresponding vehicle
Upper limit quantity Kl (l=1,2,3 ... t)；
S4, input dispatching area information A (A={ 1,2,3 ... m }) and all single DO order information D (D={ 1,2,3 ... is not closed
N }), DO order information includes volume Vd, weight qd and destination da；
S5, order is pressed as m class by region division according to order destination coordinate, volume is pressed to m class order respectively and carries out descending row
Sequence, m order sequence d of output (da (z)≤... da (2)≤da (1) z represents the quantity on order in each region, and z is in each area
Domain may be different)；
S6, first sequence is taken out from order sequence, order therein is fitted into the top vehicle in vehicle sequence L, such as
The not lower order of the fruit vehicle loading then selects next order in the region, if the order of minimum volume is all in the region
It is unable to satisfy the residual volume of the vehicle, then the order chosen in the field in the region is put into；If no one of areas
The residual volume that order meets the vehicle then chooses next vehicle prestowage, and vehicle loading finishes, and exports the prestowage order of the vehicle.
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| CN201910373601.XA CN110070237A (en) | 2019-05-07 | 2019-05-07 | Cargo distribution calculation method based on goods delivery point, measurement of cargo and vehicle |
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| CN201910373601.XA CN110070237A (en) | 2019-05-07 | 2019-05-07 | Cargo distribution calculation method based on goods delivery point, measurement of cargo and vehicle |
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Cited By (6)
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| CN110659839A (en) * | 2019-09-29 | 2020-01-07 | 杭州货天下物流科技有限公司 | Intelligent logistics stowage scheduling method |
| CN111160726A (en) * | 2019-12-13 | 2020-05-15 | 拉货宝网络科技有限责任公司 | Intelligent allocation method for transportation orders |
| CN111222819A (en) * | 2019-10-21 | 2020-06-02 | 北京旷视机器人技术有限公司 | Method for determining cargo vehicle, warehouse management device, system, equipment and medium |
| CN111401821A (en) * | 2020-04-24 | 2020-07-10 | 中储南京智慧物流科技有限公司 | Intelligent pairing system and method for vehicle and goods online loading |
| CN111695732A (en) * | 2020-06-09 | 2020-09-22 | 武汉问道信息技术有限公司 | Order batching and path planning method for tobacco finished product logistics |
| CN113052354A (en) * | 2019-12-27 | 2021-06-29 | 顺丰科技有限公司 | Freight container allocation optimization method, device, equipment and storage medium |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110659839A (en) * | 2019-09-29 | 2020-01-07 | 杭州货天下物流科技有限公司 | Intelligent logistics stowage scheduling method |
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| CN113052354A (en) * | 2019-12-27 | 2021-06-29 | 顺丰科技有限公司 | Freight container allocation optimization method, device, equipment and storage medium |
| CN113052354B (en) * | 2019-12-27 | 2023-04-07 | 顺丰科技有限公司 | Freight container allocation optimization method, device, equipment and storage medium |
| CN111401821A (en) * | 2020-04-24 | 2020-07-10 | 中储南京智慧物流科技有限公司 | Intelligent pairing system and method for vehicle and goods online loading |
| CN111695732A (en) * | 2020-06-09 | 2020-09-22 | 武汉问道信息技术有限公司 | Order batching and path planning method for tobacco finished product logistics |
| CN111695732B (en) * | 2020-06-09 | 2022-07-26 | 武汉问道信息技术有限公司 | Order batching and path planning method for tobacco finished product logistics |
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Application publication date: 20190730 |