CN104732301A - Logistics information analysis modeling method - Google Patents
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- CN104732301A CN104732301A CN201510163586.8A CN201510163586A CN104732301A CN 104732301 A CN104732301 A CN 104732301A CN 201510163586 A CN201510163586 A CN 201510163586A CN 104732301 A CN104732301 A CN 104732301A
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Abstract
The invention provides a logistics information analysis method in order to find a logistics model matched with the existing domestic logistics status. The method comprises the following steps that firstly, the positions of a plurality of logistics starting points and a plurality of logistics end points are determined according to a facility positioning submodule; secondly, the geographical feasible route is determined through a GIS electronic map management submodule according to the positions of the logistics starting points and the logistics end points; thirdly, the client requirement is determined according to a client requirement submodule; fourthly, the logistics procedure is dynamically determined through a vehicle route submodule and an allocation gathering submodule according to the feasible route and the client requirement. The logistics task requirement is taken into consideration, meanwhile, the situation of an actual client is combined, and therefore a practical and efficient logistics operation and maintenance scheme is provided.
Description
Technical field
The present invention relates to the logistics information analytical approach in logistics field, more specifically, relate to a kind of method for analyzing and modeling logistics information.
Background technology
Along with the development of China's modern commerce, in each big and medium-sized cities all by being formed gradually, newly-built large-scale logistics center, and have large-scale logistics company, large-scale logistics center and loglstics enterprise development, become extremely urgent to the requirement of logistic efficiency.Therefore the application Shi Ge logistics center of Geographic Information System (GIS), loglstics enterprise, the home-delivery center indispensable instrument of raising the efficiency.The development of internet and the progress of the communication technology, and cross-platform, Componentized GIS (Geographic Information System) and GPS (GPS) technology is progressively ripe, makes the application based on GIS/GPS can there is the transparent loglstics enterprise of competitive power.Logistics is also the important foundation of ecommerce, and the construction of logistics management informatization basic platform and visualization have become enterprise and whether possessed one of competitive power and the key factor realizing ecommerce.
GIS (Geographical Information System, Geographic Information System), it is the geography research new technology starting 1960's to develop rapidly, it is the product of multiple subject crossing, it is based on geographical spatial data, adopting geographical model analysis method, provide multiple space with dynamic geography information in good time, is a kind of computer technology system for Geographical Study and geographical decision service.The outward appearance of Geographic Information System, shows as computer hardware system, its intension is but the geospatial information model by computer program and geodata tissue, logic reduces, the geosystem of advanced IT application, from vision, measure and in logic geosystem simulated, the flowing of information and the result of information flow, emulated by the operation of computer program and the conversion of data completely, geographer can extract the variant side of geosystem under GIS supports, the room and time feature of different levels, also can the differentiation of simulating nature process and the result of thought process rapidly, obtain the result of geographical forecasting or " experiment ", select prioritization scheme, the loss that this information simulation can avoid erroneous decision to bring to a great extent.
GIS has the incomparable advantage of other information management systems, and its maximum feature is exactly possess the management function to spatial data.Specifically following several aspect is comprised:
(1) managed together spatial data and attribute data
This is one of most outstanding feature of GIS.It not only has the function of management attribute data, can also gather, manage, analyze and export multiple geospatial information, and attribute data is integrated on spatial data, not only readability directly perceived, but also both inquiries mutually can be realized, common participating space analysing and decision.
(2) powerful spatial analysis capacity is possessed
GIS emphasizes spatial analysis.Due to the connection of spatial data and attribute data, add the application of geographic space model method, make that GIS possesses spatial analysis, many key elements are comprehensively analyzed and the ability of performance prediction, the object of Geographical Study and aid decision making can be met, produce high-level geography information.
The basic function of Geographic Information System (GIS) is that Form data (no matter it is from database, electronic form file or directly input in a program) are converted to geographical graphic display, then to display result browsing, manipulation and analysis.Its indication range is from intercontinental map to very detailed street maps, and display object comprises population, input, sales situation, transportation route and other guide.It is based on geographical spatial data, adopting geographical model analysis method, in time provide multiple space with dynamic geography information, be a kind of is Geographical Study and geographical decision-making, GIS is applied to logistics analysis, mainly refers to that the geodata function utilizing GIS powerful is to improve logistics analysis technology.
In many cases, these maps more effectively can help us to carry out the research of trend and tactful aspect than general form or figure, and are easier to this kind of convert information be other forms of information.
But, by integrated to Geographic Information System (GIS), global position system (GPS), radio communication (WAP) and Internet technology (Web), be applied to logistics and supply chain management areas of information technology, domestic also do not have full maturity.
The Developing Logistics time under Electronic Commerce in China is not long, and again because basis for IT application facility is weak, theoretical research is not enough, and professional lacks, and makes the logistics management under ecommerce there is many problems.
The principal contradiction of above-mentioned defect is the physical distribution model that shortage and existing domestic logistics present situation match and suitable system architecture.
Summary of the invention
In order to the physical distribution model finding a kind of and existing domestic logistics present situation to match, the invention provides a kind of method for analyzing and modeling logistics information, the method comprises the steps:
(1) according to some starting points of facility location submodule determination logistics and the position of some terminals;
(2) according to the position of described some starting points and some terminals, utilize described GIS electronic chart to manage submodule and determine geographic feasible route;
(3) according to customer demand submodule determination customer demand;
(4) according to described feasible route and customer demand, dynamically Logistics Process is determined by vehicle route submodule and allocation set zygote module;
Wherein: vehicle route submodule, facility location submodule, allocation set zygote module, customer demand submodule and GIS electronic chart management submodule, wherein, vehicle route submodule is for designing logistics route, facility location submodule is for optimizing the best geographic position of the logistics auxiliary equipment comprising logistics warehouse, allocation set zygote module completes Scheduling Design to logistic resources and analysis, customer demand submodule real-time update customer demand database, GIS electronic chart management submodule is responsible for carrying out GIS map display to the output data of other three submodules above-mentioned, between four models of the method according to above-mentioned relation be successively according to from bottom to up order set up.
Further, described allocation set zygote module is dispatched by kind or according to the logistics time limit according to logistic resources.
Further, described GIS electronic chart management submodule adopts distributed frame.
Further, described GIS electronic chart management submodule comprises database, for carrying out record to the historical information of vehicle route submodule.
Further, described step (1) also comprises the environmentally defined condition that described facility location submodule gathers described starting point and terminal.
Further, described environmentally defined condition comprises weather condition and road conditions.
Further, described vehicle route submodule is based in the logistics analysis of GIS, and first the selection for optimal path in network will determine the factor affecting optimal route selection.
Further, described factor comprises: executeaaafunction, geometric distance, road quality, and/or the degree of crowding.
The invention has the beneficial effects as follows: the requirement both having considered logistics task, simultaneously in conjunction with the situation of actual client, thus provide practical efficient logistics O&M scheme again.
Accompanying drawing explanation
Fig. 1 shows the process flow diagram according to this logistics information analytical approach.
Embodiment
The method comprises the steps:
(1) according to some starting points of facility location submodule determination logistics and the position of some terminals;
(2) according to the position of described some starting points and some terminals, utilize described GIS electronic chart to manage submodule and determine geographic feasible route;
(3) according to customer demand submodule determination customer demand;
(4) according to described feasible route and customer demand, dynamically Logistics Process is determined by vehicle route submodule and allocation set zygote module;
Wherein: vehicle route submodule, facility location submodule, allocation set zygote module, customer demand submodule and GIS electronic chart management submodule, wherein, vehicle route submodule is for designing logistics route, facility location submodule is for optimizing the best geographic position of the logistics auxiliary equipment comprising logistics warehouse, allocation set zygote module completes Scheduling Design to logistic resources and analysis, customer demand submodule real-time update customer demand database, GIS electronic chart management submodule is responsible for carrying out GIS map display to the output data of other three submodules above-mentioned, between four models of the method according to above-mentioned relation be successively according to from bottom to up order set up.
Preferably, described allocation set zygote module is dispatched by kind or according to the logistics time limit according to logistic resources.
Preferably, described GIS electronic chart management submodule adopts distributed frame.
Preferably, described GIS electronic chart management submodule comprises database, for carrying out record to the historical information of vehicle route submodule.
Preferably, described step (1) also comprises the environmentally defined condition that described facility location submodule gathers described starting point and terminal.
Preferably, described environmentally defined condition comprises weather condition and road conditions.
Preferably, described vehicle route submodule is based in the logistics analysis of GIS, and first the selection for optimal path in network will determine the factor affecting optimal route selection.
Preferably, described factor comprises: executeaaafunction, geometric distance, road quality, and/or the degree of crowding.
Vehicle route submodule
How vehicle route submodule, for solving in the freight transportation problem of a starting point, multiple terminal, reduces operation cost and guarantees service quality, and comprise and determine to use how many vehicles, each vehicle is through the problem of what route.In logistics analysis, when there is multiple alternative haulage track between one-to-many shipping and receiving point, with the security of Material Transportation, promptness and low expense for target, should consider, weigh the advantages and disadvantages, select rational means of transportation and determine the haulage track of network minimal.Such as, a company only has a warehouse, and retail shop has 30, and be distributed on each different position, every day transports to retail shop goods from warehouse with truck, and the dead weight capacity of each truck or cargo size are fixing, and the goods weight simultaneously needed for each shop or volume are also fixing, therefore, need how many vehicles and all vehicles the route of process be exactly a vehicle route submodule the simplest.
In logistics network, no matter be that each center for distribution is mail in supplier, or mail to each linkage point or final user by home-delivery center, all can relate to the select permeability of transportation trade and route.The quality chosen directly affects the number of logistics cost.In logistics network, the selection of optimal path is namely from the shortest equivalent length that starting point set off in search is reached home.The many factors related to therebetween, data volume is large, and the relation between data is complicated, and especially in the place of transportation network prosperity, the selection of optimal path is just more difficult and important.Based in the logistics analysis of GIS, first the selection for optimal path in network will determine the factor affecting optimal route selection, as executeaaafunction, geometric distance, road quality, the degree of crowding etc., adopts analytical hierarchy process, determines the weights of every bar road.
Facility location submodule
Facility location submodule is used for determining the optimum position of the facilities such as warehouse, hospital, retail shop, machining center, and its object is to improve service quality equally, reduces operation cost, and makes profit maximization etc.
Facility location submodule may be used for the position determining one or more facility.In logistics system, warehouse and supply line constitute logistics network jointly, and warehouse is on " node " of network, and supply line connects " circuit " of each " node " exactly, sees in this sense, and " node " decides " circuit ".Specifically, in the economic zone that has some resource points and some demand points, materials and equipment resources will by some warehouses collect transfer and distribution could supply each demand point, therefore, according to the actual needs of supply and demand and principles such as integrated economics benefits, how many warehouses are set up in given area, the geographic position in each warehouse somewhere, should there be much scales (comprising handling capacity and storage capacity) in each warehouse, logistics relation between these warehouses, as how problem, just seems very important.And these problems use facility location submodule all can be resolved easily.
Facility location submodule also can add economy or other qualificationss, the object of performance model also can be make the number summation that is maximum or that make it serve of the distance between each service facility maximum, simultaneously, also can be when considering that other have existed affecting of facility, determine the optimum position of facility, etc.For the problem that these forms differ, native system by using existing model, or is revised certain parameter and is solved.
Allocation set zygote module
Allocation set zygote module can be divided into several groups according to the similitude of each key element all or part key element on same layer, may be used for solution and determines the problem such as service range, selling market scope.
Allocation set zygote module is all related in a lot of logistical problem, such as:
Certain company will set up 8 distribution point, require that these distribution point cover whole distract, and client's number of each distribution point is roughly equal;
Certain set economic zone (can be as big as a country, little of a certain area, city) in, consider each factor such as the storage scale of site and geographic position, the service range of classifying rationally home-delivery center, determine its supply radius, realize macroscopical equilibrium of supply and demand.
GIS electronic chart management submodule
This modelling is for using
the MapX of company develops, and this model has following function:
Amplify, reduce: can current map be carried out Stepless transmission and be reduced, to understand the details of certain moving target position or to understand the overall condition of more large regions or the overall situation.
Roaming: the movement of mouse can be utilized to realize the roaming (map denotation picture is with the automatic quick-replaceable of dragging of mouse) of map.
Layer management: be provided with abundant layer, system manager can name definition easily, and operator selects by drop-down menu, conceal and configure shown layer, and once selected layer should keep display when restart routine.
User information management: database record has the particulars of vehicle and car owner, comprises installation, maintenance record etc.
Statistics print: various subscriber data, reception data can be organized easily, deal with emergencies and dangerous situations record etc. report form statistics.
Map printing: the map pattern of display in real time and the information of window display can be printed at any time.
Claims (8)
1. a method for analyzing and modeling logistics information, the method comprises the steps:
(1) according to some starting points of facility location submodule determination logistics and the position of some terminals;
(2) according to the position of described some starting points and some terminals, utilize described GIS electronic chart to manage submodule and determine geographic feasible route;
(3) according to customer demand submodule determination customer demand;
(4) according to described feasible route and customer demand, dynamically Logistics Process is determined by vehicle route submodule and allocation set zygote module;
Wherein: vehicle route submodule, facility location submodule, allocation set zygote module, customer demand submodule and GIS electronic chart management submodule, wherein, vehicle route submodule is for designing logistics route, facility location submodule is for optimizing the best geographic position of the logistics auxiliary equipment comprising logistics warehouse, allocation set zygote module completes Scheduling Design to logistic resources and analysis, customer demand submodule real-time update customer demand database, GIS electronic chart management submodule is responsible for carrying out GIS map display to the output data of other three submodules above-mentioned, between four models of the method according to above-mentioned relation be successively according to from bottom to up order set up.
2. logistics information analytical approach according to claim 1, is characterized in that, described allocation set zygote module is dispatched by kind or according to the logistics time limit according to logistic resources.
3. logistics information analytical approach according to claim 1, is characterized in that, described GIS electronic chart management submodule adopts distributed frame.
4. logistics information analytical approach according to claim 1, is characterized in that, described GIS electronic chart management submodule comprises database, for carrying out record to the historical information of vehicle route submodule.
5. logistics information analytical approach according to claim 1, is characterized in that, described step (1) also comprises the environmentally defined condition that described facility location submodule gathers described starting point and terminal.
6. logistics information analytical approach according to claim 5, is characterized in that, described environmentally defined condition comprises weather condition and road conditions.
7. logistics information analytical approach according to claim 1, is characterized in that, described vehicle route submodule is based in the logistics analysis of GIS, and first the selection for optimal path in network will determine the factor affecting optimal route selection.
8. logistics information analytical approach according to claim 7, is characterized in that, described factor comprises: executeaaafunction, geometric distance, road quality, and/or the degree of crowding.
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Cited By (8)
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| CN105719118A (en) * | 2016-01-21 | 2016-06-29 | 华南师范大学 | Multi-target logistics dispatching method and system based on graph theory |
| CN105719117A (en) * | 2016-01-21 | 2016-06-29 | 华南师范大学 | Collaborative logistics scheduling method and collaborative logistics scheduling system based on graph theory |
| CN106169128A (en) * | 2016-07-06 | 2016-11-30 | 石莉 | Water transport logistics route generates method and system |
| CN106847066A (en) * | 2017-01-09 | 2017-06-13 | 北京京东尚科信息技术有限公司 | Warehouse map constructing method and device |
| CN107272689A (en) * | 2017-06-30 | 2017-10-20 | 安徽四创电子股份有限公司 | A kind of Transport route planning and monitoring system and its path planning and monitoring method |
| CN108829105A (en) * | 2018-06-21 | 2018-11-16 | 浙江工业大学 | It is a kind of to dispatch avoidance optimization method based on the warehouse logistics of KM algorithm and Artificial Potential Field Method |
| CN108921428A (en) * | 2018-06-28 | 2018-11-30 | 上海中通吉网络技术有限公司 | The dispatching method and device of logistics vehicles |
| CN109002027A (en) * | 2018-08-31 | 2018-12-14 | 北京图森未来科技有限公司 | A kind of midpoint controlling method and central control system |
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| CN105719118A (en) * | 2016-01-21 | 2016-06-29 | 华南师范大学 | Multi-target logistics dispatching method and system based on graph theory |
| CN105719117A (en) * | 2016-01-21 | 2016-06-29 | 华南师范大学 | Collaborative logistics scheduling method and collaborative logistics scheduling system based on graph theory |
| CN105719117B (en) * | 2016-01-21 | 2020-04-21 | 华南师范大学 | Collaborative logistics scheduling method and system based on graph theory |
| CN105719118B (en) * | 2016-01-21 | 2020-04-21 | 华南师范大学 | Multi-target logistics scheduling method and system based on graph theory |
| CN106169128A (en) * | 2016-07-06 | 2016-11-30 | 石莉 | Water transport logistics route generates method and system |
| CN106847066A (en) * | 2017-01-09 | 2017-06-13 | 北京京东尚科信息技术有限公司 | Warehouse map constructing method and device |
| CN107272689A (en) * | 2017-06-30 | 2017-10-20 | 安徽四创电子股份有限公司 | A kind of Transport route planning and monitoring system and its path planning and monitoring method |
| CN108829105A (en) * | 2018-06-21 | 2018-11-16 | 浙江工业大学 | It is a kind of to dispatch avoidance optimization method based on the warehouse logistics of KM algorithm and Artificial Potential Field Method |
| CN108921428A (en) * | 2018-06-28 | 2018-11-30 | 上海中通吉网络技术有限公司 | The dispatching method and device of logistics vehicles |
| CN109002027A (en) * | 2018-08-31 | 2018-12-14 | 北京图森未来科技有限公司 | A kind of midpoint controlling method and central control system |
| CN109002027B (en) * | 2018-08-31 | 2020-06-23 | 北京图森智途科技有限公司 | Central control method and central control system |
| US11488091B2 (en) | 2018-08-31 | 2022-11-01 | Beijing Tusen Zhitu Technology Co., Ltd. | Central control method and system |
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