CN108364105A - A kind of purpose optimal method of logistics distribution circuit - Google Patents
A kind of purpose optimal method of logistics distribution circuit Download PDFInfo
- Publication number
- CN108364105A CN108364105A CN201810160932.0A CN201810160932A CN108364105A CN 108364105 A CN108364105 A CN 108364105A CN 201810160932 A CN201810160932 A CN 201810160932A CN 108364105 A CN108364105 A CN 108364105A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- logistics
- distribution circuit
- distribution
- logistics distribution
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
-
- 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
- G06Q10/0835—Relationships between shipper or supplier and carriers
- G06Q10/08355—Routing methods
Abstract
The invention discloses a kind of purpose optimal methods of logistics distribution circuit, include the following steps, modeling description, including distribution vehicle route planning, distribution vehicle type are carried out to logistics distribution circuit；Establish the constraints of distribution vehicle route planning；In conjunction with the needs of transported article, send vehicle minimum；GIS information management systems are integrated on Logistics Transport Management Information System, the path optimization of target point, which operates, to be realized to the vehicle sent, generic line is selected to carry out goods transportation；According to obtain it is minimum send vehicle and generic line, carry out logistics transportation to article provides the effective rate of utilization of Transportation Enterprises service level and resource, has a good application prospect so as to greatly save cost.
Description
Technical field
The present invention relates to logistics distribution technical fields, and in particular to a kind of purpose optimal method of logistics distribution circuit.
Background technology
Logistics aims at the logistics demand for meeting consumer with minimum expense.Logistics distribution is in logistics system
Thimble section includes the most of operations of logistics system.The main economic activity of dispatching is delivery, is with modern design awareness, labour
Means support, a kind of mode of the combination of " the matching " and " sending " of the realization that relies on scientific and technological advances, is according to certain user
Demand is sorted, with work such as goods in logistics node, and gives the cargo prepared to consignee in time with most reasonable manner
A process.In nature, dispatching is a kind of types of transportation, is to realize goods and materials space displacement.Reasonable arrangement transports, fully
Using the advantage of various forms of transport, real-time control etc., which is important spy of the modern logistics in transport field, to be realized to transportational process
Sign.In the case where logistics instantly is very flourishing with industry, the information sharing of logistics distribution how is realized, reduce data redundancy, really
The consistency for protecting data makes enterprise more effectively utilize limited resource, reduces cost, improve the market competitiveness of enterprise,
Larger economic benefit is obtained, is the critical issue that current logistics distribution encounters.
Invention content
The purpose of the present invention is overcome the vehicle scheduling of the vehicle of existing most of Third-party Logistics Enterprise be still according to
Manually mode, the problem that transport resource can not be utilized rationally and operation cost is too high.The logistics distribution circuit of the present invention
Purpose optimal method carries out modeling description, including distribution vehicle route planning, distribution vehicle type to logistics distribution circuit；It builds
The constraints of vertical distribution vehicle route planning；In conjunction with the needs of transported article, send vehicle minimum；By GIS information
It manages in the system integration to Logistics Transport Management Information System, the optimization of shortest path is realized, so as to greatly save into
This, provides the effective rate of utilization of Transportation Enterprises service level and resource, has a good application prospect.
In order to achieve the above object, the technical solution adopted in the present invention is：
A kind of purpose optimal method of logistics distribution circuit, includes the following steps,
Step（A）, modeling description, including distribution vehicle route planning, distribution vehicle type are carried out to logistics distribution circuit；
Step（B）, establish the constraints of distribution vehicle route planning；
Step（C）, logistics distribution line optimization is carried out according to constraints and sends vehicle minimum in conjunction with the needs of transported article
；
Step（D）, GIS information management systems are integrated on Logistics Transport Management Information System, for matching to logistics transportation
Road is sent to be managed collectively；
Step（E）, by GIS spatial analysis, the path optimization of target point, which operates, to be realized to the vehicle sent, selects generic line
Carry out goods transportation；
Step（F）, step（C）What is obtained minimum sends vehicle and step（E）Obtained generic line carries out logistics to article
Transport.
A kind of purpose optimal method of logistics distribution circuit above-mentioned, step（A）, the distribution vehicle route planning,
The optimal route of target point is reached from originating point；
The distribution vehicle type is divided into loading, unloading and handling according to task feature and mixes；Temporally constraint is divided into having time
Window and without time window；It is divided into fully loaded and undercapacity according to cargo situation；It is divided into single-type and multi-vehicle-type by vehicle；By optimization
Target is divided into single goal and multiple target.
A kind of purpose optimal method of logistics distribution circuit above-mentioned, step（B）, constraints, including it is as follows,
（B1）, the inadequate carload of article of each client's point, each car need to undertake the transport task of multiple client's points；
（B2）, no time window limitation, article only needs to reach in specified some day, without period requirement；
（B3）, vehicle needs to remove loading or unloading to several places；
（B4）, vehicle is multi-vehicle-type, and a variety of models loading capacity is different；
（B5）, the one-way of route, vehicle is from home-delivery center, if returning to home-delivery center after doing, each dispenses a little
Cargo all provided by vehicle, and travel direction of the vehicle between task point is continuous consistent, i.e., each demand
Point is only primary by a vehicle service.
A kind of purpose optimal method of logistics distribution circuit above-mentioned, step（C）, logistics distribution is carried out according to constraints
Line optimizes, and in conjunction with the needs of transported article, sends vehicle minimum, according to the needs of transport article, pays the utmost attention to various
Vehicle loading capacity considers further that each car need to undertake the transport task of multiple client's points.
A kind of purpose optimal method of logistics distribution circuit above-mentioned, step（D）, GIS information management systems are integrated into
It on Logistics Transport Management Information System, is managed collectively for the dispatching road to logistics transportation, including road network is integrated
With delivery point distributed information integration,
The integrated content belonged in GIS information management systems of the road network, need with shortest circuit, path optimizing and
Map match provides reference frame, and automated path establishes length, road level of hierarchy, speed and the vehicle for needing to be accurate to path
Same sex classification, single two pass；The positioning operation of vehicle, need to be accurate to the title in street, every terrestrial reference, user title and
The position attribution of contact method and dispatching person's self-defining；
The delivery point distributed information integration, belongs to the content of Logistics Transport Management Information System, wherein comprising can uniquely comment
Sentence its existing geographical attribute, geographical attribute includes the title in street, geographic coordinate information.
A kind of purpose optimal method of logistics distribution circuit above-mentioned, step（E）, by GIS spatial analysis, to what is sent
Vehicle realizes path optimization's operation of target point, selects generic line to carry out goods transportation, path optimization is according to GIS message tubes
The real-time road that reason system provides is adjusted in real time.
The beneficial effects of the invention are as follows：The purpose optimal method of the logistics distribution circuit of the present invention, to logistics distribution circuit
Carry out modeling description, including distribution vehicle route planning, distribution vehicle type；Establish the constraint item of distribution vehicle route planning
Part；In conjunction with the needs of transported article, send vehicle minimum；GIS information management systems are integrated into material handling management
In information system, the optimization of shortest path is realized, so as to greatly save cost, provide Transportation Enterprises service level
And the effective rate of utilization of resource, it has a good application prospect.
Description of the drawings
Fig. 1 is the flow chart of the purpose optimal method of the logistics distribution circuit of the present invention.
Specific implementation mode
Below in conjunction with Figure of description, the present invention is further illustrated.
As shown in Figure 1, the purpose optimal method of the logistics distribution circuit of the present invention, includes the following steps,
Step（A）, modeling description, including distribution vehicle route planning, distribution vehicle type are carried out to logistics distribution circuit, it is described
Distribution vehicle route planning, in the optimal route for reaching target point from originating point；
The distribution vehicle type is divided into loading, unloading and handling according to task feature and mixes；Temporally constraint is divided into having time
Window and without time window；It is divided into fully loaded and undercapacity according to cargo situation；It is divided into single-type and multi-vehicle-type by vehicle；By optimization
Target is divided into single goal and multiple target；
Step（B）, establish the constraints of distribution vehicle route planning, specifically include it is as follows,
（B1）, the inadequate carload of article of each client's point, each car need to undertake the transport task of multiple client's points；
（B2）, no time window limitation, article only needs to reach in specified some day, without period requirement；
（B3）, vehicle needs to remove loading or unloading to several places；
（B4）, vehicle is multi-vehicle-type, and a variety of models loading capacity is different；
（B5）, the one-way of route, vehicle is from home-delivery center, if returning to home-delivery center after doing, each dispenses a little
Cargo all provided by vehicle, and travel direction of the vehicle between task point is continuous consistent, i.e., each demand
Point is only primary by a vehicle service；
Step（C）, logistics distribution line optimization is carried out according to constraints and sends vehicle minimum in conjunction with the needs of transported article
, according to the needs of transport article, a variety of models loading capacity is paid the utmost attention to, considers further that each car need to undertake multiple client's points
Transport task；
Step（D）, GIS information management systems are integrated on Logistics Transport Management Information System, for matching to logistics transportation
Road is sent to be managed collectively, including road network integrates and delivery point distributed information integration,
The integrated content belonged in GIS information management systems of the road network, need with shortest circuit, path optimizing and
Map match provides reference frame, and automated path establishes length, road level of hierarchy, speed and the vehicle for needing to be accurate to path
Same sex classification, single two pass；The positioning operation of vehicle, need to be accurate to the title in street, every terrestrial reference, user title and
The position attribution of contact method and dispatching person's self-defining；
The delivery point distributed information integration, belongs to the content of Logistics Transport Management Information System, wherein comprising can uniquely comment
Sentence its existing geographical attribute, geographical attribute includes the title in street, geographic coordinate information；
Step（E）, by GIS spatial analysis, the path optimization of target point, which operates, to be realized to the vehicle sent, selects generic line
Goods transportation is carried out, path optimization is that the real-time road provided according to GIS information management systems is adjusted in real time；
Step（F）, step（C）What is obtained minimum sends vehicle and step（E）Obtained generic line carries out logistics to article
Transport.
In conclusion the purpose optimal method of the logistics distribution circuit of the present invention, carries out modeling to logistics distribution circuit and retouches
It states, including distribution vehicle route planning, distribution vehicle type；Establish the constraints of distribution vehicle route planning；In conjunction with being transported
The needs of defeated article send vehicle minimum；GIS information management systems are integrated on Logistics Transport Management Information System,
The optimization for realizing shortest path provides Transportation Enterprises service level and resource so as to greatly save cost
Effective rate of utilization has a good application prospect.
The basic principles and main features and advantage of the present invention have been shown and described above.The technical staff of the industry should
Understand, the present invention is not limited to the above embodiments, and the above embodiments and description only describe the originals of the present invention
Reason, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes and improvements
It all fall within the protetion scope of the claimed invention.The claimed scope of the invention is by appended claims and its equivalent circle
It is fixed.
Claims (6)
1. a kind of purpose optimal method of logistics distribution circuit, it is characterised in that：Include the following steps,
Step（A）, modeling description, including distribution vehicle route planning, distribution vehicle type are carried out to logistics distribution circuit；
Step（B）, establish the constraints of distribution vehicle route planning；
Step（C）, logistics distribution line optimization is carried out according to constraints and sends vehicle minimum in conjunction with the needs of transported article
；
Step（D）, GIS information management systems are integrated on Logistics Transport Management Information System, for matching to logistics transportation
Road is sent to be managed collectively；
Step（E）, by GIS spatial analysis, the path optimization of target point, which operates, to be realized to the vehicle sent, selects generic line
Carry out goods transportation；
Step（F）, step（C）What is obtained minimum sends vehicle and step（E）Obtained generic line carries out logistics to article
Transport.
2. a kind of purpose optimal method of logistics distribution circuit according to claim 1, it is characterised in that：Step（A）, institute
Distribution vehicle route planning is stated, in the optimal route for reaching target point from originating point；
The distribution vehicle type is divided into loading, unloading and handling according to task feature and mixes；Temporally constraint is divided into having time
Window and without time window；It is divided into fully loaded and undercapacity according to cargo situation；It is divided into single-type and multi-vehicle-type by vehicle；By optimization
Target is divided into single goal and multiple target.
3. a kind of purpose optimal method of logistics distribution circuit according to claim 1, it is characterised in that：Step（B）, about
Beam condition, including it is as follows,
（B1）, the inadequate carload of article of each client's point, each car need to undertake the transport task of multiple client's points；
（B2）, no time window limitation, article only needs to reach in specified some day, without period requirement；
（B3）, vehicle needs to remove loading or unloading to several places；
（B4）, vehicle is multi-vehicle-type, and a variety of models loading capacity is different；
（B5）, the one-way of route, vehicle is from home-delivery center, if returning to home-delivery center after doing, each dispenses a little
Cargo all provided by vehicle, and travel direction of the vehicle between task point is continuous consistent, i.e., each demand
Point is only primary by a vehicle service.
4. a kind of purpose optimal method of logistics distribution circuit according to claim 3, it is characterised in that：Step（C）, root
Carry out logistics distribution line optimization according to constraints sends vehicle minimum in conjunction with the needs of transported article, according to transport object
The needs of product pay the utmost attention to a variety of models loading capacity, consider further that each car need to undertake the transport task of multiple client's points.
5. a kind of purpose optimal method of logistics distribution circuit according to claim 1, it is characterised in that：Step（D）, will
GIS information management systems are integrated on Logistics Transport Management Information System, and unification is carried out for the dispatching road to logistics transportation
Management, including road network integrates and delivery point distributed information integration,
The integrated content belonged in GIS information management systems of the road network, need with shortest circuit, path optimizing and
Map match provides reference frame, and automated path establishes length, road level of hierarchy, speed and the vehicle for needing to be accurate to path
Same sex classification, single two pass；The positioning operation of vehicle, need to be accurate to the title in street, every terrestrial reference, user title and
The position attribution of contact method and dispatching person's self-defining；
The delivery point distributed information integration, belongs to the content of Logistics Transport Management Information System, wherein comprising can uniquely comment
Sentence its existing geographical attribute, geographical attribute includes the title in street, geographic coordinate information.
6. a kind of purpose optimal method of logistics distribution circuit according to claim 5, it is characterised in that：Step（E）, lead to
GIS spatial analysis is crossed, the path optimization of target point, which operates, to be realized to the vehicle sent, generic line is selected to carry out goods transportation,
Path optimization is that the real-time road provided according to GIS information management systems is adjusted in real time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810160932.0A CN108364105A (en) | 2018-02-26 | 2018-02-26 | A kind of purpose optimal method of logistics distribution circuit |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810160932.0A CN108364105A (en) | 2018-02-26 | 2018-02-26 | A kind of purpose optimal method of logistics distribution circuit |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108364105A true CN108364105A (en) | 2018-08-03 |
Family
ID=63002770
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810160932.0A Pending CN108364105A (en) | 2018-02-26 | 2018-02-26 | A kind of purpose optimal method of logistics distribution circuit |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108364105A (en) |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109726863A (en) * | 2018-12-26 | 2019-05-07 | 深圳市北斗智能科技有限公司 | A kind of material-flow method and system of multiple-objection optimization |
| CN109740910A (en) * | 2018-12-27 | 2019-05-10 | 秒针信息技术有限公司 | Haulage vehicle determines method and apparatus |
| CN110163441A (en) * | 2019-05-24 | 2019-08-23 | 国网北京市电力公司 | The transmission method and device of order distribution route |
| CN110717716A (en) * | 2019-10-10 | 2020-01-21 | 安徽九州通智能科技有限公司 | Cloud logistics platform and construction method |
| CN110826951A (en) * | 2018-08-10 | 2020-02-21 | 北京京东尚科信息技术有限公司 | Transportation line stowage method and device, electronic equipment and computer readable medium |
| CN111275383A (en) * | 2020-01-19 | 2020-06-12 | 腾讯云计算（北京）有限责任公司 | Distribution range generation method and device, computer equipment and storage medium |
| CN111598341A (en) * | 2020-05-18 | 2020-08-28 | 广东电网有限责任公司 | Electric power material distribution method and system based on material allocation and path optimization |
| CN111950758A (en) * | 2019-05-17 | 2020-11-17 | 拉扎斯网络科技（上海）有限公司 | Distribution path planning method, device, server and storage medium |
| CN111985683A (en) * | 2020-07-14 | 2020-11-24 | 华南理工大学 | Path optimization method for material distribution of multi-target discrete assembly workshop |
| CN112418584A (en) * | 2019-08-23 | 2021-02-26 | 深圳顺丰泰森控股(集团)有限公司 | Task planning method and device, computer equipment and storage medium |
| CN113393183A (en) * | 2020-03-12 | 2021-09-14 | 深圳顺丰泰森控股(集团)有限公司 | Express delivery transfer mode planning method and device, server and storage medium |
| CN113743848A (en) * | 2020-06-10 | 2021-12-03 | 北京京东振世信息技术有限公司 | Method and device for configuring logistics transportation route |
| CN114757629A (en) * | 2022-06-16 | 2022-07-15 | 北京京东振世信息技术有限公司 | Article distribution method, vehicle type information transmission method, apparatus, device, and medium |
| CN115375044A (en) * | 2022-10-24 | 2022-11-22 | 成都易速物流有限公司 | Method for optimizing distribution route in real time by real-time running of cold chain transport vehicle |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101561897A (en) * | 2008-04-17 | 2009-10-21 | 北京中食新华科技有限公司 | Method for analyzing and modeling logistics information |
| CN104504459A (en) * | 2014-12-08 | 2015-04-08 | 上海维祥信息技术有限公司 | Method and system for optimizing logistics transportation |
-
2018
- 2018-02-26 CN CN201810160932.0A patent/CN108364105A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101561897A (en) * | 2008-04-17 | 2009-10-21 | 北京中食新华科技有限公司 | Method for analyzing and modeling logistics information |
| CN104504459A (en) * | 2014-12-08 | 2015-04-08 | 上海维祥信息技术有限公司 | Method and system for optimizing logistics transportation |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110826951A (en) * | 2018-08-10 | 2020-02-21 | 北京京东尚科信息技术有限公司 | Transportation line stowage method and device, electronic equipment and computer readable medium |
| CN109726863A (en) * | 2018-12-26 | 2019-05-07 | 深圳市北斗智能科技有限公司 | A kind of material-flow method and system of multiple-objection optimization |
| CN109740910A (en) * | 2018-12-27 | 2019-05-10 | 秒针信息技术有限公司 | Haulage vehicle determines method and apparatus |
| CN111950758A (en) * | 2019-05-17 | 2020-11-17 | 拉扎斯网络科技（上海）有限公司 | Distribution path planning method, device, server and storage medium |
| CN110163441A (en) * | 2019-05-24 | 2019-08-23 | 国网北京市电力公司 | The transmission method and device of order distribution route |
| CN112418584A (en) * | 2019-08-23 | 2021-02-26 | 深圳顺丰泰森控股(集团)有限公司 | Task planning method and device, computer equipment and storage medium |
| CN110717716A (en) * | 2019-10-10 | 2020-01-21 | 安徽九州通智能科技有限公司 | Cloud logistics platform and construction method |
| CN111275383A (en) * | 2020-01-19 | 2020-06-12 | 腾讯云计算（北京）有限责任公司 | Distribution range generation method and device, computer equipment and storage medium |
| CN111275383B (en) * | 2020-01-19 | 2023-04-07 | 腾讯云计算（北京）有限责任公司 | Distribution range generation method and device, computer equipment and storage medium |
| CN113393183A (en) * | 2020-03-12 | 2021-09-14 | 深圳顺丰泰森控股(集团)有限公司 | Express delivery transfer mode planning method and device, server and storage medium |
| CN111598341A (en) * | 2020-05-18 | 2020-08-28 | 广东电网有限责任公司 | Electric power material distribution method and system based on material allocation and path optimization |
| CN111598341B (en) * | 2020-05-18 | 2023-09-08 | 广东电网有限责任公司 | Power material distribution method and system based on material distribution and path optimization |
| CN113743848A (en) * | 2020-06-10 | 2021-12-03 | 北京京东振世信息技术有限公司 | Method and device for configuring logistics transportation route |
| CN113743848B (en) * | 2020-06-10 | 2023-11-03 | 北京京东振世信息技术有限公司 | Logistics transportation route configuration method and device |
| CN111985683A (en) * | 2020-07-14 | 2020-11-24 | 华南理工大学 | Path optimization method for material distribution of multi-target discrete assembly workshop |
| CN111985683B (en) * | 2020-07-14 | 2023-10-24 | 华南理工大学 | Path optimization method for material distribution of multi-target discrete assembly workshop |
| CN114757629A (en) * | 2022-06-16 | 2022-07-15 | 北京京东振世信息技术有限公司 | Article distribution method, vehicle type information transmission method, apparatus, device, and medium |
| CN115375044A (en) * | 2022-10-24 | 2022-11-22 | 成都易速物流有限公司 | Method for optimizing distribution route in real time by real-time running of cold chain transport vehicle |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108364105A (en) | A kind of purpose optimal method of logistics distribution circuit | |
| Wang et al. | Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions | |
| US20130159208A1 (en) | Shipper-oriented logistics base optimization system | |
| Saif-Eddine et al. | An improved genetic algorithm for optimizing total supply chain cost in inventory location routing problem | |
| Barcos et al. | Routing design for less-than-truckload motor carriers using ant colony optimization | |
| CN106803136A (en) | A kind of fresh dispatching real-time optimization method based on genetic algorithm | |
| US20120226624A1 (en) | Optimization system of smart logistics network | |
| CN108960519B (en) | Method for selecting shortest time transportation route based on big data analysis | |
| Ji et al. | An integrated model for the production-inventory-distribution problem in the Physical Internet | |
| Demir et al. | Last mile logistics: Research trends and needs | |
| CN109902990A (en) | A kind of supply chain logistics distribution routing planning system | |
| KR101867456B1 (en) | Real-time Sharing Method of Cargo Transportation Information through Cargo Information Sharing Community centered on Cloud Hub with the Enforced State Change Adaptability and Allocation Stability | |
| Cóccola et al. | Toward integrated production and distribution management in multi-echelon supply chains | |
| CN107368994A (en) | Commodity distribution control method, terminal and system | |
| US20200327497A1 (en) | System and method for linehaul optimization | |
| Peng et al. | Promoting sustainability of the integrated production-inventory-distribution system through the Physical Internet | |
| Nurprihatin et al. | Optimizing rice distribution routes in Indonesia using a two-step linear programming considering logistics costs | |
| KR102503198B1 (en) | Device and method for providing optimal cargo delivery route based on artificial intelligence | |
| CN111861009A (en) | Intelligent route planning method, device and equipment | |
| Sun et al. | Multi-objective optimization model for planning metro-based underground logistics system network: Nanjing case study. | |
| CN106845707A (en) | The wisdom logistics service system and method for a kind of information realtime interactive | |
| CN108305015A (en) | A kind of Vehicular intelligent dispatching method for logistics transportation | |
| Leung et al. | Community logistics: a dynamic strategy for facilitating immediate parcel delivery to smart lockers | |
| Pokrovskaya et al. | Procedure and algorithmization of calculation of terminal network parameters | |
| Peng et al. | A three-phase heuristic for last-mile delivery with spatial-temporal consolidation and delivery options |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180803 |
|
| RJ01 | Rejection of invention patent application after publication |