CN112874927B - Logistics packaging box type recommendation method - Google Patents
Logistics packaging box type recommendation method Download PDFInfo
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- CN112874927B CN112874927B CN202110150334.7A CN202110150334A CN112874927B CN 112874927 B CN112874927 B CN 112874927B CN 202110150334 A CN202110150334 A CN 202110150334A CN 112874927 B CN112874927 B CN 112874927B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65B—MACHINES, APPARATUS OR DEVICES FOR, OR METHODS OF, PACKAGING ARTICLES OR MATERIALS; UNPACKING
- B65B57/00—Automatic control, checking, warning, or safety devices
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65B—MACHINES, APPARATUS OR DEVICES FOR, OR METHODS OF, PACKAGING ARTICLES OR MATERIALS; UNPACKING
- B65B59/00—Arrangements to enable machines to handle articles of different sizes, to produce packages of different sizes, to vary the contents of packages, to handle different types of packaging material, or to give access for cleaning or maintenance purposes
- B65B59/001—Arrangements to enable adjustments related to the product to be packaged
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
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Abstract
The invention relates to the field of box type recommendation of logistics packaging boxes, and discloses a box type recommendation method of logistics packaging boxes, which comprises the following steps: performing space modeling on all the logistics package box types and all the commodities; calculating the total volume of the commodities in an order, selecting a box type with the volume larger than the total volume of the commodities, and arranging the commodities in the order from large to small according to the volume; arranging and combining different placing modes among commodities to form a commodity space model combination, and arranging space models of the boxes from small to large according to the volume; traversing the space models of all boxes, and carrying out boxing attempt; traversing all commodity space model combinations, and carrying out boxing attempt; if all the space models of the current box cannot be completely loaded, a box larger than the current box is selected, the box loading attempt is performed again, and if any one of the space models is loaded with all the commodities, the box is defined as a recommended box type. The invention can automatically recommend the optimal box type according to the commodity of the order.
Description
Technical Field
The invention relates to the field of box type recommendation of logistics packaging boxes, in particular to a box type recommendation method of logistics packaging boxes.
Background
At present, when the express delivery package is carried out in the warehouse, after an order is distributed to personnel making in the warehouse, the personnel working in the warehouse can hardly know how big a box should be selected at the moment to better load all commodities of the order, if the express delivery box is selected too big, unnecessary waste is caused, the cost is increased, and the small express delivery box is selected, the selection of the express delivery box is carried out again possibly because the express delivery box cannot be loaded, and the time waste is caused.
Disclosure of Invention
The invention aims to provide a box type recommending method for a logistics packing box, which can automatically select an optimal box type according to the volume of goods in an order.
The invention solves the technical problems and adopts the following technical scheme:
the invention provides a box type recommending method of a logistics packing box, which comprises the following steps:
step 1, performing space modeling on all box types of logistics packaging boxes, wherein one box type obtains space models of 6 boxes, and performing space modeling on all commodities, and one commodity obtains 6 placed commodity space models;
step 2, calculating the total volume of the commodities in an order, selecting a box type with the volume larger than the total volume of the commodities, and arranging the commodities in the order from large to small according to the volume;
step 3, arranging and combining different placing modes among commodities to form a commodity space model combination, and arranging space models of the boxes from small to large according to the volume;
step 4, traversing space models of all boxes, and carrying out boxing attempt;
step 5, traversing all commodity space model combinations, carrying out boxing attempt, and if any commodity X axis or Y axis or Z axis in the combination exceeds the X axis, Y axis or Z axis of the box, continuing the boxing attempt of the next combination without carrying out subsequent attempt of the current combination;
step 6, splicing two commodity space models with shortest X-axis to form a new space model, if the length of the X-axis of the new space model is smaller than that of the X-axis of the box, accepting the new space model, otherwise, stopping continuous combination, and starting the box filling attempt;
and 7, placing the space models of all commodities in a mode of firstly Y-axis and then Z-axis until the current space model of the box is filled, if the current space model of the box is not filled with the residual commodities after filling, trying other space models of the current box, if all the space models of the current box cannot be fully filled with the space models of the current box, selecting a box larger than the current box, carrying out 4-7 steps again, and if any one of the space models is filled with all the commodities, determining the box as a recommended box type.
Further, in step 1, the spatial model of the 6 boxes specifically refers to: with the lower left corner of the space model of the box as the origin, a space model 1 corresponding to the length, width and height of the XYZ axes, a space model 2 corresponding to the length, width and height of XZY, a space model 3 corresponding to the length, width and height of YXZ, a space model 4 corresponding to the length, width and height of YZX, a space model 5 corresponding to the length, width and height of ZXY, and a space model 6 corresponding to the length, width and height of ZYX are respectively formed.
Further, in the step 1, the obtained 6 placed commodity space models specifically refer to: the lower left corner of the commodity space model is used as an origin to form a space model 1 with a length, width and height corresponding to XYZ axes, a space model 2 with a length, width and height corresponding to XZY, a space model 3 with a length, width and height corresponding to YZX, a space model 4 with a length, width and height corresponding to YZX, a space model 5 with a length, width and height corresponding to ZXY and a space model 6 with a length, width and height corresponding to ZYX.
Further, in step 2, if the total volume of the commodity is larger than the maximum box volume, the largest box is directly selected, and the following steps are not executed.
Further, in step 3, when different placement modes between commodities are arranged and combined to form a commodity space model combination, if two commodities exist and 6 placed commodity space models exist for each commodity respectively, the two commodities form 36 commodity space model combinations.
Further, in step 7, when a box larger than the current box is selected, boxes with length, width and height larger than the length, width and height of the current box are automatically selected.
Further, in step 7, when a box larger than the current box is selected, detecting the length, width and height of the remaining commodity after the current box is filled, and judging:
if the rest commodity is a single commodity, selecting a box larger than the current box according to the length, width and height of the single commodity;
and if the remaining commodities are a plurality of commodities, selecting a box larger than the current box according to the commodity space model combination of the plurality of commodities.
The method has the advantages that through the method, more accurate package recommendation can be provided for operators in the recommended scene of logistics package, the recommendation of the package box is avoided, the time for manually screening the package is saved, and according to basic data of commodities, the method can automatically calculate and obtain an optimal express box recommendation for the operators, so that the boxing rate is maximum and optimal, and the boxing efficiency is greatly improved.
Drawings
Fig. 1 is a flow chart of the operation of the present invention.
Detailed Description
The technical scheme of the invention is described in detail below with reference to the accompanying drawings.
The invention provides a box type recommending method for a logistics packing box, a flow chart of which is shown in fig. 1, wherein the method comprises the following steps:
s1, carrying out space modeling on all box types of logistics packaging boxes, wherein one box type obtains space models of 6 boxes, carrying out space modeling on all commodities, and obtaining space models of 6 placed commodities by one commodity.
Here, the spatial model of 6 boxes specifically refers to: with the lower left corner of the space model of the box as the origin, a space model 1 corresponding to the length, width and height of the XYZ axes, a space model 2 corresponding to the length, width and height of XZY, a space model 3 corresponding to the length, width and height of YXZ, a space model 4 corresponding to the length, width and height of YZX, a space model 5 corresponding to the length, width and height of ZXY, and a space model 6 corresponding to the length, width and height of ZYX are respectively formed.
In addition, the obtained 6 placed commodity space models specifically refer to: the lower left corner of the commodity space model is used as an origin to form a space model 1 with a length, width and height corresponding to XYZ axes, a space model 2 with a length, width and height corresponding to XZY, a space model 3 with a length, width and height corresponding to YZX, a space model 4 with a length, width and height corresponding to YZX, a space model 5 with a length, width and height corresponding to ZXY and a space model 6 with a length, width and height corresponding to ZYX.
S2, calculating the total volume of the commodities in an order, selecting a box type with the volume larger than the total volume of the commodities, and arranging the commodities in the order from large to small according to the volume.
If the total volume of the commodity is larger than the maximum box volume, the maximum box is directly selected, and the following steps are not executed. At this time, since the box corresponding to the largest box cannot fully hold all the commodities in the next order, which means that at least one other box is also required, the box of the other box may be selected according to the manner of steps S1-S2.
S3, arranging and combining different placing modes among commodities to form a commodity space model combination, and arranging space models of the boxes from small to large according to the volume.
It should be noted that when different placement modes among commodities are arranged and combined to form a commodity space model combination, if two commodities exist and 6 placed commodity space models exist for each commodity respectively, the two commodities form 36 commodity space model combinations. For example, if there are 6 spatial models of placement for commodity A and commodity B, respectively, then these two commodities would form 36 combinations.
S4, traversing the space models of all boxes, and carrying out boxing attempt.
S5, traversing all commodity space model combinations, carrying out boxing attempt, and if any commodity X axis or Y axis or Z axis in the combination exceeds the X axis, Y axis or Z axis of the box, carrying out subsequent attempt of the current combination and continuing the boxing attempt of the next combination.
S6, splicing the two commodity space models with the shortest X axis to form a new space model, if the length of the X axis of the new space model is smaller than that of the X axis of the box, accepting the new space model, otherwise, stopping continuous combination, and starting the box filling attempt.
S7, placing the space models of all commodities in a mode of firstly Y-axis and then Z-axis until the current space model of the box is filled, if the current space model of the box is not filled with the residual commodities after filling, trying other space models of the current box, if all the space models of the current box cannot be fully filled, selecting a box larger than the current box, and carrying out S4-S7 again, wherein if any one of the space models is filled with all the commodities, the box is set to be a recommended box type.
When a box larger than the current box is selected, the box with the length, width and height larger than the length, width and height of the current box is automatically selected.
In addition, when a box larger than the current box is selected, detecting the length, width and height of the remaining commodity after the current box is filled, and judging: if the rest commodity is a single commodity, selecting a box larger than the current box according to the length, width and height of the single commodity; and if the remaining commodities are a plurality of commodities, selecting a box larger than the current box according to the commodity space model combination of the plurality of commodities.
Finally, according to basic data of the commodity, the method and the system can obtain an optimal express box type to recommend to operators after calculation, so that the boxing rate is maximum and optimal.
Claims (7)
1. The box type recommending method for the logistics packaging boxes is characterized by comprising the following steps of:
step 1, performing space modeling on all box types of logistics packaging boxes, wherein one box type obtains space models of 6 boxes, and performing space modeling on all commodities, and one commodity obtains 6 placed commodity space models;
step 2, calculating the total volume of the commodities in an order, selecting a box type with the volume larger than the total volume of the commodities, and arranging the commodities in the order from large to small according to the volume;
step 3, arranging and combining different placing modes among commodities to form a commodity space model combination, and arranging space models of the boxes from small to large according to the volume;
step 4, traversing space models of all boxes, and carrying out boxing attempt;
step 5, traversing all commodity space model combinations, carrying out boxing attempt, and if any commodity X axis or Y axis or Z axis in the combination exceeds the X axis, Y axis or Z axis of the box, continuing the boxing attempt of the next combination without carrying out subsequent attempt of the current combination;
step 6, splicing two commodity space models with shortest X-axis to form a new space model, if the length of the X-axis of the new space model is smaller than that of the X-axis of the box, accepting the new space model, otherwise, stopping continuous combination, and starting the box filling attempt;
and 7, placing the space models of all commodities in a mode of firstly Y-axis and then Z-axis until the current space model of the box is filled, if the current space model of the box is not filled with the residual commodities after filling, trying other space models of the current box, if all the space models of the current box cannot be fully filled with the space models of the current box, selecting a box larger than the current box, carrying out 4-7 steps again, and if any one of the space models is filled with all the commodities, determining the box as a recommended box type.
2. The method for recommending box types of physical distribution packaging boxes according to claim 1, wherein in the step 1, the space model of 6 boxes specifically means: with the lower left corner of the space model of the box as the origin, a space model 1 corresponding to the length, width and height of the XYZ axes, a space model 2 corresponding to the length, width and height of XZY, a space model 3 corresponding to the length, width and height of YXZ, a space model 4 corresponding to the length, width and height of YZX, a space model 5 corresponding to the length, width and height of ZXY, and a space model 6 corresponding to the length, width and height of ZYX are respectively formed.
3. The method for recommending box type physical distribution packaging boxes according to claim 1, wherein in the step 1, the obtained 6 placed commodity space models specifically refer to: the lower left corner of the commodity space model is used as an origin to form a space model 1 with a length, width and height corresponding to XYZ axes, a space model 2 with a length, width and height corresponding to XZY, a space model 3 with a length, width and height corresponding to YZX, a space model 4 with a length, width and height corresponding to YZX, a space model 5 with a length, width and height corresponding to ZXY and a space model 6 with a length, width and height corresponding to ZYX.
4. The method according to claim 1, wherein in step 2, if the total volume of the commodity is larger than the maximum box volume, the largest box is directly selected, and the following steps are not performed.
5. The method for recommending a box type of a physical distribution packing box according to claim 1, wherein in the step 3, different placement modes among commodities are arranged and combined to form a commodity space model combination, if two commodities exist and 6 placed commodity space models exist for each commodity respectively, the two commodities form 36 commodity space model combinations.
6. The method according to any one of claims 1 to 5, wherein in step 7, when a box larger than the current box is selected, boxes each having a length, width and height larger than the length, width and height of the current box are automatically selected.
7. The method according to any one of claims 1 to 5, wherein in step 7, when a box larger than the current box is selected, the length, width and height of the remaining commodity after the current box is filled are detected, and it is determined that:
if the rest commodity is a single commodity, selecting a box larger than the current box according to the length, width and height of the single commodity;
and if the remaining commodities are a plurality of commodities, selecting a box larger than the current box according to the commodity space model combination of the plurality of commodities.
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| CN113327064A (en) * | 2021-06-29 | 2021-08-31 | 深圳市多点绿环保科技有限公司 | Method for automatically selecting applicable packing box type by multiple SKUs in single order |
| CN114229135B (en) * | 2021-12-29 | 2023-06-20 | 杭州海康机器人股份有限公司 | Method and device for determining cargo packaging mode, storage medium and electronic equipment |
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| CA3005452C (en) * | 2015-11-18 | 2020-07-14 | Symbol Technologies, Llc | Methods and systems for container fullness estimation |
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| CN112001535B (en) * | 2020-08-10 | 2022-03-18 | 上海东普信息科技有限公司 | Logistics boxing method, device, equipment and storage medium |
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| JP2005284996A (en) * | 2004-03-30 | 2005-10-13 | Toyota Motor Corp | Packing specification determination system and method |
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