CN112541227A - Automobile part logistics stowage system and method - Google Patents
Automobile part logistics stowage system and method Download PDFInfo
- Publication number
- CN112541227A CN112541227A CN202011424614.4A CN202011424614A CN112541227A CN 112541227 A CN112541227 A CN 112541227A CN 202011424614 A CN202011424614 A CN 202011424614A CN 112541227 A CN112541227 A CN 112541227A
- Authority
- CN
- China
- Prior art keywords
- stowage
- containers
- carriage
- loading
- placeable
- 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
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/15—Vehicle, aircraft or watercraft design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Economics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Automation & Control Theory (AREA)
- Aviation & Aerospace Engineering (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a logistics simulation stowage method for automobile parts, which comprises the following steps: s1, generating a minimum stowage unit, and taking the minimum stowage unit as a container to be stowed; s2, establishing a virtual carriage coordinate system, and building a stowage algorithm model in the coordinate system; s3, sequentially carrying out overlapping interference judgment on each container in the algorithm model according to priority order, then placing S4, stacking the containers on the basis that the containers are placed on the bottom layer of the carriage, and ending stacking until the carriage is fully loaded; and S5, finally forming a loading list of the carriage according to the algorithm model, and generating a loading indication diagram. The logistics stowage system for the automobile parts comprises a front-section MRP integration module, a basic data module, a stowage strategy module, a stowage operation module and a goods taking execution module. The invention has high loading rate, the loading unit is decomposed to the minimum package, the placing position is fine to the space coordinate point, and the space waste is less.
Description
Technical Field
The invention relates to a part logistics distribution technology, in particular to a logistics distribution system and a logistics distribution method for automobile parts.
Background
The supply of the automobile parts is used as an important part for production and supply of the automobile, the problems of goods taking and loading optimization of the automobile parts are paid much attention by the industry, high efficiency and accuracy are guaranteed particularly under the condition of unbalanced order demands in the production of mixed automobiles, and the transportation cost is saved. The part loading refers to that according to the characteristics (such as truck size, packaging type, packaging size, placement limitation and the like) of trucks and part packages, order demands (namely parts) in a specific period are combined and spliced into a single-time goods taking list (namely the part demands of each trip) of one truck, and finally, a vehicle loading list of each trip is generated to indicate a supplier and a logistics dealer to finish loading operation; the purpose is to improve the bicycle loading rate, reduce and get goods the time, practice thrift the logistics cost.
Currently, a common stowage method in the industry is to define each pass as a fixed quantity of goods through logistics planning, that is, when an MRP order is calculated, the order is divided according to a set quantity of goods, and an order requirement meeting the quantity of goods is generated. Because the actual loading position of the parts is not considered, the cargo capacity is usually set to be less than 80% of the volume of the carriage, so that the situation that all parts can be loaded in each truck is guaranteed, and a truck driver finishes loading the parts according to daily experience. For example, chinese patent CN105512747A discloses an intelligent logistics optimization scheduling system, which mainly calculates set parameters for orders and engines of intelligent algorithms, wherein the order parameters include priorities of different types of orders and the number of spliceable dealers; calculating parameters including acceptable GAP value, single-point full board proportion and carpooling rate limit; but the loading space position of the parts is not considered, so that unpredictable carriage space waste is caused, and the loading rate is not convenient to improve; because the carriage spaces of different types of trucks are different, different space waste can be caused by different placing positions of parts, the arrangement and combination results of parts of one truck are very many, and the carriage space waste can not be calculated and reduced under the condition of not considering the actual placing positions.
Disclosure of Invention
The invention provides a logistics stowage system and a logistics stowage method for automobile parts, aiming at solving the problems that unpredictable carriage space waste is caused and the loading rate is inconvenient to improve because the part loading space position is not considered in the background technology. The invention can fully utilize the loading space and improve the transfer rate.
In order to solve the technical problems, the invention adopts the technical scheme that: a logistics simulation stowage method for automobile parts comprises the following steps:
s1, acquiring all non-pickup order demands through a front-end system MRP order calculation module, generating corresponding minimum stowage units for parts of different packaging types, and taking the minimum stowage units as containers to be stowed;
s2, establishing a virtual carriage coordinate system, and building a stowage algorithm model in the coordinate system;
s3, performing priority sorting on all containers according to corresponding goods taking time, sequentially performing overlapping interference judgment on each container in the algorithm model according to the priority sorting, and if the containers are overlapped, temporarily not placing the containers; if not, placing the carriage on the bottom layer of the carriage; ending the current carriage placement until the carriage bottom is fully loaded;
s4, stacking containers on the basis that the containers are placed on the bottom layer of the carriage, and ending stacking until the carriage is fully loaded;
and S5, finally forming a loading list of the carriage according to the algorithm model, and generating a loading indication diagram according to the coordinates of the container placed by the single vehicle.
Further, the establishing of the virtual coordinate system includes:
s21, constructing a virtual carriage coordinate system by taking the bottom end point of the carriage as an origin, wherein the length of the carriage is an axis Y, the width of the carriage is an axis X, and the height of the carriage is an axis Z; mapping the three-dimensional space of the carriage to an XY two-dimensional plane at the bottom of the carriage according to the stacking characteristic that the containers can be stacked only if the types and the sizes of the containers are the same;
s22, creating a placeable coordinate point set, and storing all placeable coordinates of the XY two-dimensional plane; and creating a set of placed container coordinate points, and storing all successfully placed container vertex coordinates.
Further, the creating a set of placeable coordinate points specifically includes: taking an original point as an initial placeable point, adding 4 vertexes of a container on an XY two-dimensional surface as placeable points after the container is successfully placed, and replacing the placeable points with repeated failures; and then the placeable points are subjected to priority sorting.
As a preferred scheme, the placeable point priority ranking specifically is: and taking the Y coordinate of the placeable points from small to large as a first priority and the X coordinate from small to large as a second priority for carrying out combined priority sequencing.
As another preferred scheme, the placeable point priority ranking specifically is: and taking the X coordinate of the placeable points from small to large as a first priority and the Y coordinate from small to large as a second priority for carrying out combined priority sequencing.
Further, the creating of the set of placed coordinate points specifically includes: after each container is successfully placed, 4 vertex coordinates of the container, the corresponding ID of the container and the stacking layer number of the container are recorded.
Furthermore, when containers are placed in the XY two-dimensional plane, if the types and the sizes of the containers to be placed and the placed containers are consistent and the maximum number of stacked layers is not exceeded, the containers are directly stacked above the placed containers.
Further, the judgment of the overlapping interference specifically includes: selecting a placeable point, trying to place containers to be placed, finding out all placed containers which are not overlapped with the containers to be placed, and if the number of the placed containers which are not overlapped is less than the number of the placed containers; and judging the points to be overlapped, and replacing the next placeable point according to the priority order of the placeable points to judge.
Further, in S1, the step of generating the corresponding minimum stowage unit for the parts of different packaging types includes: if the tray is required to carry out secondary group supporting and then loading parts, generating a minimum stowage unit according to the corresponding size of the tray; if the part package can be directly loaded, the minimum stowage unit is generated according to the size of the part package.
The logistics stowage system for the automobile parts is also provided, and the logistics simulation stowage method for the automobile parts comprises the following steps:
a front-stage MRP integration module for docking the MRP order calculation module to obtain all orders to be loaded
The basic data module is used for acquiring vehicle information;
the loading strategy module is used for collocating a corresponding loading rule according to the vehicle information;
the loading operation module is used for calculating a loading combination result according to the loading rule and generating a loading list and a loading indication diagram;
and the goods taking execution module carries out part loading according to the loading list and the device indication diagram.
Compared with the prior art, the beneficial effects are:
1. the invention supports the calculation of space position stowage, has a configurable stowage strategy, can realize the automatic tolerance compensation according to the specification characteristics of the container, realizes the refined cargo stowage, achieves the loading rate optimization effect and reduces the logistics cost; compared with the existing goods taking and loading system, the method mainly optimizes the algorithm of the loading model, increases the spatial position marks, enhances the visual output and effectively improves the loading rate.
2. The invention has high loading rate, the loading unit is decomposed to the minimum package, the placing position is fine to the space coordinate point, and the space waste is less; the device is suitable for mixed loading of various packages, automatic tolerance compensation of a system is realized, and containers of different specifications can be loaded without error; the stowage operation efficiency is high, two-wheel stowage optimization calculation is achieved, and a visual stowage indicator diagram is output.
Drawings
FIG. 1 is a schematic flow chart of example 1.
Fig. 2 is a schematic view of a stereo coordinate system in embodiment 1.
FIG. 3 is a schematic view of an XY two-dimensional coordinate system in example 1.
Fig. 4 is a schematic diagram of the first round of priority assignment in embodiment 1.
Fig. 5 is a schematic diagram of the second round of priority assignment in embodiment 1.
Fig. 6 is a schematic diagram of the determination of the overlap interference in embodiment 1.
FIG. 7 is a schematic view of example 2.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent; for the purpose of better illustrating the embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted. The positional relationships depicted in the drawings are for illustrative purposes only and are not to be construed as limiting the present patent.
Example 1
The embodiment provides a logistics simulation stowage method for automobile parts, which comprises the following steps:
s1, acquiring all non-pickup order demands through a front-end system MRP order calculation module, generating corresponding minimum stowage units for parts of different packaging types, and taking the minimum stowage units as containers to be stowed;
s2, establishing a virtual carriage coordinate system, and building a stowage algorithm model in the coordinate system;
s3, performing priority sorting on all containers according to corresponding goods taking time, sequentially performing overlapping interference judgment on each container in the algorithm model according to the priority sorting, and if the containers are overlapped, temporarily not placing the containers; if not, placing the carriage on the bottom layer of the carriage; ending the current carriage placement until the carriage bottom is fully loaded;
s4, stacking containers on the basis that the containers are placed on the bottom layer of the carriage, and ending stacking until the carriage is fully loaded;
and S5, finally forming a loading list of the carriage according to the algorithm model, and generating a loading indication diagram according to the coordinates of the container placed by the single vehicle.
As shown in fig. 2 and 3, establishing a virtual coordinate system based on the locomotive 100 and the car 200 includes:
s21, constructing a virtual carriage coordinate system by taking the bottom end point of the carriage as an origin, wherein the length of the carriage is an axis Y, the width of the carriage is an axis X, and the height of the carriage is an axis Z; mapping the three-dimensional space of the carriage to an XY two-dimensional plane at the bottom of the carriage according to the stacking characteristic that the containers can be stacked only if the types and the sizes of the containers are the same;
s22, creating a placeable coordinate point set, and storing all placeable coordinates of the XY two-dimensional plane; and creating a set of placed container coordinate points, and storing all successfully placed container vertex coordinates.
The creating of the placeable coordinate point set specifically includes: taking an original point as an initial placeable point, adding 4 vertexes of a container on an XY two-dimensional surface as placeable points after the container is successfully placed, and replacing the placeable points with repeated failures; and then the placeable points are subjected to priority sorting.
The placeable point priority ranking specifically comprises: and taking the Y coordinate of the placeable points from small to large as a first priority and the X coordinate from small to large as a second priority for carrying out combined priority sequencing. For example, for five placeable points with coordinates (1.2,0), (1.2,1.8), (1.2,1.6), (2.3,0), (2.3,1.6), the combined priority ordering is: (2.3,0)(1.2,1.6)(2.3,1.6)(0,1.8)(1.2,1.8).
The creating of the set of placed coordinate points specifically includes: after each container is successfully placed, 4 vertex coordinates of the container, the corresponding ID of the container and the stacking layer number of the container are recorded.
When containers are placed in an XY two-dimensional plane, if the types and the sizes of the containers to be placed and the placed containers are consistent and the maximum stacking layer number is not exceeded, the containers are directly stacked above the placed containers. Tolerance compensation is also carried out during placement, and the tolerance compensation is carried out during simulated placement aiming at the special containers which are convex on the outer plane or can be embedded with each other; however, the tolerance compensation is limited by the length and the width, and the length and the width of the current container do not exceed the length and the width of the carriage 200 after the current placement point is simulated, which is easily known by those skilled in the art, and therefore, the detailed description is not needed.
As shown in fig. 6, the determination of the overlap interference specifically includes: selecting a placeable point, trying to place containers to be placed, finding out all placed containers which are not overlapped with the containers to be placed, and if the number of the placed containers which are not overlapped is less than the number of the placed containers; and judging the points to be overlapped, and replacing the next placeable point according to the priority order of the placeable points to judge. In the figure, the visited containers 1, 2 and 3 and the container 4 to be placed meet the limitation of the length and width of the carriage, and the containers 1 and 3 which are not overlapped are found, wherein the number of the containers is less than three, namely, the container 2 and the container 4 to be placed are overlapped;
in S1, generating corresponding minimum stowage units for parts of different packaging types specifically includes: if the tray is required to carry out secondary group supporting and then loading parts, generating a minimum stowage unit according to the corresponding size of the tray; if the part package can be directly loaded, the minimum stowage unit is generated according to the size of the part package. The minimum stowage unit core element comprises: container number, order number, pickup time, functional area, material number, specification package number, current package number, default arrangement direction, maximum stacking layer number, length, width, height, length tolerance value, width tolerance value, height tolerance value and weight.
In actual use, as shown in fig. 4 and 5, since the goods may come from different suppliers, through two rounds of priority allocation calculation, the first round is allocated sequentially at the goods taking time, and the containers are discharged from the front part 201 of the carriage, the middle part 202 of the carriage to the tail part 203 of the carriage in the order of the goods taking time, so as to ensure continuous goods taking and improve the allocation rate, but the containers of the same supplier are placed dispersedly, which is not beneficial to the goods taking and loading; based on the first round of stowage, the second round of stowage successively carries out secondary stowage in a round sequence, and containers of the same supplier are gathered and closed, namely, the front part 201 of the carriage is the goods of the supplier A, the middle part 202 of the carriage is the goods of the supplier B, and the tail part 203 of the carriage is the goods of the supplier C; the loading operation is optimized.
The key point of the embodiment is that the stowage system supports spatial position stowage calculation, has a configurable stowage strategy, can automatically compensate for tolerance according to container specification characteristics, realizes refined cargo stowage, achieves the loading rate optimization effect, and reduces logistics cost; compared with the existing goods taking and loading system, the method mainly optimizes the algorithm of the loading model, increases the spatial position marks, enhances the visual output and effectively improves the loading rate.
The embodiment has the advantages that the loading rate is high, the loading unit is decomposed to the minimum package, the placing position is fine to the space coordinate point, and the space waste is less; the device is suitable for mixed loading of various packages, automatic tolerance compensation of a system is realized, and containers of different specifications can be loaded without error; the stowage operation efficiency is high, two-wheel stowage optimization calculation is achieved, and a visual stowage indicator diagram is output.
Example 2
This example is similar to example 1, except that:
in this embodiment, the placeable point priority ranking specifically includes: and taking the X coordinate of the placeable points from small to large as a first priority and the Y coordinate from small to large as a second priority for carrying out combined priority sequencing. The X and Y coordinates are relative so that the car 200 can be fully loaded for the first priority from either side.
Example 3
The embodiment provides an automobile part logistics stowage system, which utilizes the automobile part logistics simulation stowage method in embodiment 1, as shown in fig. 7, and includes:
a front-stage MRP integration module for docking the MRP order calculation module to obtain all orders to be loaded
The basic data module is used for acquiring vehicle information;
the loading strategy module is used for collocating a corresponding loading rule according to the vehicle information;
the loading operation module is used for calculating a loading combination result according to the loading rule and generating a loading list and a loading indication diagram;
and the goods taking execution module carries out part loading according to the loading list and the device indication diagram.
The system utilizes the stowage method in the embodiment 1, wherein the front-end MRP integration module is used for docking the MRP order calculation module to obtain all orders to be stowed; the basic data module is used for maintaining basic data of the service, including routes, vehicles, packaging types and the like; the stowage strategy is used for setting stowage calculation related rules including stacking rules, itineration rules, packaging tolerance rules and the like; the loading calculation module is used for calculating the loading combination results of all orders and generating a loading list and a loading indication diagram; the goods taking execution module is used for issuing a loading list and a loading indication diagram and indicating the operation of suppliers and logistics merchants.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (10)
1. A logistics simulation stowage method for automobile parts is characterized by comprising the following steps:
s1, acquiring all non-pickup order demands through a front-end system MRP order calculation module, generating corresponding minimum stowage units for parts of different packaging types, and taking the minimum stowage units as containers to be stowed;
s2, establishing a virtual carriage coordinate system, and building a stowage algorithm model in the coordinate system;
s3, performing priority sorting on all containers according to corresponding goods taking time, sequentially performing overlapping interference judgment on each container in the algorithm model according to the priority sorting, and if the containers are overlapped, temporarily not placing the containers; if not, placing the carriage on the bottom layer of the carriage; ending the current carriage placement until the carriage bottom is fully loaded;
s4, stacking containers on the basis that the containers are placed on the bottom layer of the carriage, and ending stacking until the carriage is fully loaded;
and S5, finally forming a loading list of the carriage according to the algorithm model, and generating a loading indication diagram according to the coordinates of the container placed by the single vehicle.
2. The method for logistics simulating and loading automobile parts according to claim 1, wherein in the step S2, establishing the virtual coordinate system comprises:
s21, constructing a virtual carriage coordinate system by taking the bottom end point of the carriage as an origin, wherein the length of the carriage is an axis Y, the width of the carriage is an axis X, and the height of the carriage is an axis Z; mapping the three-dimensional space of the carriage to an XY two-dimensional plane at the bottom of the carriage according to the stacking characteristic that the containers can be stacked only if the types and the sizes of the containers are the same;
s22, creating a placeable coordinate point set, and storing all placeable coordinates of the XY two-dimensional plane; and creating a set of placed container coordinate points, and storing all successfully placed container vertex coordinates.
3. The method for logistic-simulation stowage of automobile parts according to claim 2, wherein the creating of the set of placeable coordinate points is specifically: taking an original point as an initial placeable point, adding 4 vertexes of a container on an XY two-dimensional surface as placeable points after the container is successfully placed, and replacing the placeable points with repeated failures; and then the placeable points are subjected to priority sorting.
4. The automobile part logistics simulation stowage method according to claim 3, wherein the placeable point priorities are specifically: and taking the Y coordinate of the placeable points from small to large as a first priority and the X coordinate from small to large as a second priority for carrying out combined priority sequencing.
5. The automobile part logistics simulation stowage method according to claim 3, wherein the placeable point priorities are specifically: and taking the X coordinate of the placeable points from small to large as a first priority and the Y coordinate from small to large as a second priority for carrying out combined priority sequencing.
6. The method for logistic-simulation stowage of automobile parts according to claim 2, wherein the creating of the set of placed coordinate points is specifically as follows: after each container is successfully placed, 4 vertex coordinates of the container, the corresponding ID of the container and the stacking layer number of the container are recorded.
7. The automobile part logistics simulation stowage method of claim 3, wherein when the containers are placed in the XY two-dimensional plane, if the types and sizes of the containers to be placed and the placed containers are consistent and the maximum stacking layer number is not exceeded, the containers are stacked directly above the placed containers.
8. The automobile part logistics simulation stowage method according to claim 3, wherein the overlapping interference judgment is specifically: selecting a placeable point, trying to place containers to be placed, finding out all placed containers which are not overlapped with the containers to be placed, and if the number of the placed containers which are not overlapped is less than the number of the placed containers; and judging the points to be overlapped, and replacing the next placeable point according to the priority order of the placeable points to judge.
9. The automobile part logistics simulation stowage method according to claim 1, wherein in the step S1, the step of generating the corresponding minimum stowage unit for the parts with different packaging types is specifically as follows: if the tray is required to carry out secondary group supporting and then loading parts, generating a minimum stowage unit according to the corresponding size of the tray; if the part package can be directly loaded, the minimum stowage unit is generated according to the size of the part package.
10. An automobile part logistics stowage system, which utilizes the automobile part logistics simulation stowage method of any one of claims 1 to 9, characterized by comprising:
a front-stage MRP integration module for docking the MRP order calculation module to obtain all orders to be loaded
The basic data module is used for acquiring vehicle information;
the loading strategy module is used for collocating a corresponding loading rule according to the vehicle information;
the loading operation module is used for calculating a loading combination result according to the loading rule and generating a loading list and a loading indication diagram;
and the goods taking execution module carries out part loading according to the loading list and the device indication diagram.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011424614.4A CN112541227A (en) | 2020-12-08 | 2020-12-08 | Automobile part logistics stowage system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011424614.4A CN112541227A (en) | 2020-12-08 | 2020-12-08 | Automobile part logistics stowage system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112541227A true CN112541227A (en) | 2021-03-23 |
Family
ID=75019491
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011424614.4A Pending CN112541227A (en) | 2020-12-08 | 2020-12-08 | Automobile part logistics stowage system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112541227A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113282634A (en) * | 2021-04-01 | 2021-08-20 | 东风延锋汽车饰件系统有限公司 | Method, system and storage medium for analyzing part packaging scheme |
| CN113919159A (en) * | 2021-10-14 | 2022-01-11 | 云南特可科技有限公司 | Logistics space optimization method |
| CN115158957A (en) * | 2022-07-29 | 2022-10-11 | 中国电子科技集团公司第三十八研究所 | Material caching system and method for radar electronic equipment structural member production line |
| CN116090220A (en) * | 2023-01-28 | 2023-05-09 | 广东原尚物流股份有限公司 | Logistics simulation load distribution method for automobile parts |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109670756A (en) * | 2018-12-25 | 2019-04-23 | 苏州工业园区报关有限公司 | A kind of Intelligent logistics device and stowage method |
| CN110046845A (en) * | 2019-03-06 | 2019-07-23 | 青岛日日顺物流有限公司 | A kind of place vehicle loading method and Load System |
| CN110059996A (en) * | 2019-03-06 | 2019-07-26 | 青岛日日顺物流有限公司 | A kind of place vehicle loading method based on voice guide system |
| CN110175402A (en) * | 2019-05-27 | 2019-08-27 | 上海维祥信息技术有限公司 | Vehicle component stowage and system |
| CN110175405A (en) * | 2019-05-27 | 2019-08-27 | 上海维祥信息技术有限公司 | Vehicle loading optimization method and system |
-
2020
- 2020-12-08 CN CN202011424614.4A patent/CN112541227A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109670756A (en) * | 2018-12-25 | 2019-04-23 | 苏州工业园区报关有限公司 | A kind of Intelligent logistics device and stowage method |
| CN110046845A (en) * | 2019-03-06 | 2019-07-23 | 青岛日日顺物流有限公司 | A kind of place vehicle loading method and Load System |
| CN110059996A (en) * | 2019-03-06 | 2019-07-26 | 青岛日日顺物流有限公司 | A kind of place vehicle loading method based on voice guide system |
| CN110175402A (en) * | 2019-05-27 | 2019-08-27 | 上海维祥信息技术有限公司 | Vehicle component stowage and system |
| CN110175405A (en) * | 2019-05-27 | 2019-08-27 | 上海维祥信息技术有限公司 | Vehicle loading optimization method and system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113282634A (en) * | 2021-04-01 | 2021-08-20 | 东风延锋汽车饰件系统有限公司 | Method, system and storage medium for analyzing part packaging scheme |
| CN113919159A (en) * | 2021-10-14 | 2022-01-11 | 云南特可科技有限公司 | Logistics space optimization method |
| CN115158957A (en) * | 2022-07-29 | 2022-10-11 | 中国电子科技集团公司第三十八研究所 | Material caching system and method for radar electronic equipment structural member production line |
| CN115158957B (en) * | 2022-07-29 | 2023-04-28 | 中国电子科技集团公司第三十八研究所 | Material caching system and method for structural member production line of radar electronic equipment |
| CN116090220A (en) * | 2023-01-28 | 2023-05-09 | 广东原尚物流股份有限公司 | Logistics simulation load distribution method for automobile parts |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112541227A (en) | Automobile part logistics stowage system and method | |
| JP6993449B2 (en) | Delivery plan generators, systems, methods and computer readable storage media | |
| Burinskiene et al. | A simulation study for the sustainability and reduction of waste in warehouse logistics | |
| CN111768151A (en) | Vehicle loading method and system for loading cargoes | |
| US20120226624A1 (en) | Optimization system of smart logistics network | |
| CN108549978B (en) | Method and system for allocating safe freight vehicle | |
| CN109978444A (en) | Storage dispatching method and system, storage medium, electronic equipment | |
| CN105654268A (en) | Visual management system for loading and unloading positions of logistic goods yard and method | |
| CN111445083B (en) | Transferring transportation loading method for large-scale transporter | |
| CN111598341B (en) | Power material distribution method and system based on material distribution and path optimization | |
| CN111815231B (en) | Intelligent carpooling method and system for logistics platform | |
| CN113177752B (en) | Route planning method and device and server | |
| CN111311145A (en) | Intelligent assembling method for railway freight | |
| Teoh et al. | Methodology to evaluate the operational suitability of electromobility systems for urban logistics operations | |
| CN111144806A (en) | Automatic loading method for dangerous goods container | |
| CN116611594A (en) | Coupling optimization method for simultaneously taking and loading goods vehicle path and three-dimensional goods balance loading | |
| CN115115300A (en) | Circular goods taking path planning method considering three-dimensional packing | |
| Zhu et al. | Modeling and Simulation of Automated Container Terminal Operation. | |
| Park et al. | Automatic guided vehicles introduction impacts to roll-On/Roll-off terminals: Simulation and cost model analysis | |
| Li et al. | Shunting strategy for placing-in and taking-out wagons on branch-shaped freight operation network with simulation method | |
| CN111652551B (en) | Method and device for transporting and boxing goods | |
| CN111784265A (en) | Intelligent loading system and method for whole vehicle logistics transportation | |
| CN108596446B (en) | Port container truck dispatching method constrained by container crane task queue | |
| Neuenfeldt-Júnior et al. | An agent-based approach to simulate the containership stowage problem | |
| JP2003233896A (en) | Method and device for generating vehicle allocation plan |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |