CN109515911A - A kind of box design method of express delivery - Google Patents
A kind of box design method of express delivery Download PDFInfo
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- CN109515911A CN109515911A CN201811158826.5A CN201811158826A CN109515911A CN 109515911 A CN109515911 A CN 109515911A CN 201811158826 A CN201811158826 A CN 201811158826A CN 109515911 A CN109515911 A CN 109515911A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65D—CONTAINERS FOR STORAGE OR TRANSPORT OF ARTICLES OR MATERIALS, e.g. BAGS, BARRELS, BOTTLES, BOXES, CANS, CARTONS, CRATES, DRUMS, JARS, TANKS, HOPPERS, FORWARDING CONTAINERS; ACCESSORIES, CLOSURES, OR FITTINGS THEREFOR; PACKAGING ELEMENTS; PACKAGES
- B65D7/00—Containers having bodies formed by interconnecting or uniting two or more rigid, or substantially rigid, components made wholly or mainly of metal
- B65D7/02—Containers having bodies formed by interconnecting or uniting two or more rigid, or substantially rigid, components made wholly or mainly of metal characterised by shape
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65D—CONTAINERS FOR STORAGE OR TRANSPORT OF ARTICLES OR MATERIALS, e.g. BAGS, BARRELS, BOTTLES, BOXES, CANS, CARTONS, CRATES, DRUMS, JARS, TANKS, HOPPERS, FORWARDING CONTAINERS; ACCESSORIES, CLOSURES, OR FITTINGS THEREFOR; PACKAGING ELEMENTS; PACKAGES
- B65D11/00—Containers having bodies formed by interconnecting or uniting two or more rigid, or substantially rigid, components made wholly or mainly of plastics material
- B65D11/10—Containers having bodies formed by interconnecting or uniting two or more rigid, or substantially rigid, components made wholly or mainly of plastics material of polygonal cross-section and all parts being permanently connected to each other
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65D—CONTAINERS FOR STORAGE OR TRANSPORT OF ARTICLES OR MATERIALS, e.g. BAGS, BARRELS, BOTTLES, BOXES, CANS, CARTONS, CRATES, DRUMS, JARS, TANKS, HOPPERS, FORWARDING CONTAINERS; ACCESSORIES, CLOSURES, OR FITTINGS THEREFOR; PACKAGING ELEMENTS; PACKAGES
- B65D9/00—Containers having bodies formed by interconnecting or uniting two or more rigid, or substantially rigid, components made wholly or mainly of wood or substitutes therefor
- B65D9/06—Boxes or crates of polygonal cross-section
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0838—Historical data
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Abstract
The present invention relates to packing case fields, disclose a kind of box design method of express delivery, include the following steps: that (1) collects History Order data；(2) it calculates History Order and uses length and width and high frequency distribution in box volume section；(3) volume of frequency and highest length data group as box is selected.The present invention has the advantage that: 1. processing data magnitudes are big: can handle high-volume order data using clustering algorithm, quickly export optimal box design scheme；2. adaptable: changing for indent structure, design scheme can be provided at any time；3. the degree of customization is high: relevant parameter can be changed according to client's actual demand, export packaging scheme；4. low cost: design process low cost, the effect of acquirement is also least cost.
Description
Technical field
The present invention relates to packing case fields, more particularly to the box design method of express delivery a kind of.
Background technique
Along with the fast development in electric business online shopping epoch, the annual courier packages' number of China also rapid increase.Due to carton
Consumptive material is strong to the protectiveness of commodity and relatively regular, and the package of most of order is more likely to be packed using carton.With this
Meanwhile as country is to the pay attention to day by day and policy guide of environmental issue, the price of leatheroid the more rises the more high in recent years, then controls
Wrapping up packing cost becomes a very important project of each enterprise.
Due to the difference of online shopping habit, the different client of different industries creates an indent structure abundant (order
How many a commodity included), for storage delivery, the attribute for order is needed to classify, thus the suitable packet of selection
Vanning is delivered to achieve the effect that Optimum cost.Therefore, the size design problem of packing case gradually highlights.
Summary of the invention
The disadvantage that the present invention is high for the consumption of carton material in the prior art, cost is big, provides a kind of box of express delivery
Design method.
In order to solve the above-mentioned technical problem, the present invention is addressed by following technical proposals.
A kind of box design method of express delivery, includes the following steps:
(1) History Order data are collected；
(2) it calculates History Order and uses length and width and high frequency distribution in box volume section；
(3) volume of frequency and highest length data group as box is selected.
Preferably, in step (1), History Order data include the commodity in each order need the length using box,
Wide, high size.
Preferably, calculating History Order in step (2) and using length and width and high frequency distribution in box volume section
Include:
1. obtaining cluster centre by clustering algorithm: box type is n, quantity on order m, then makees to n box type
For the central point of initial clustering, box type is assigned in n class according to minimal distance principle；Calculate the change of each box type
Mean value is measured, the cluster centre of n mean value is formed；Constantly it is iterated, until the value of n cluster centre is no longer changed,
Output data cluster result；
2. obtaining box added value according to Sigma's impurity elimination principle:
Be calculated each point in every class to such cluster centre distance, as added value；
3. calculating box volume:
Box volume=(cluster centre+added value)/trunkful rate；
Wherein, trunkful rate are as follows: during virtual package, the maximum volume rate of chest；
4. determining box size: according to step 3. calculated every kind of box volume, if box volume is v, box length
For l, box width is w, and box height is h, then v=l*w*h, then can be generated the length of each size of every kind of box
Data group, then the frequency of length data is f1, f2, f3, the then value of f1+f2+f3 in statistical history order data respectively
It is final size for maximum group of data.
Preferably, the value range of trunkful rate is 90%~100%.
The present invention is due to using above technical scheme, with significant technical effect: the present invention has the advantage that:
1. processing data magnitude is big: can handle high-volume order data using clustering algorithm, quickly export optimal box
Design scheme；
2. adaptable: changing for indent structure, design scheme can be provided at any time；
3. the degree of customization is high: relevant parameter can be changed according to client's actual demand, export packaging scheme；
4. low cost: design process low cost, the effect of acquirement is also least cost.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of the box design method of express delivery of the present invention；
Fig. 2 is statistic frequency histogram long in a kind of box design method of express delivery of the present invention；
Fig. 3 is statistic frequency histogram wide in a kind of box design method of express delivery of the present invention；
Fig. 4 is statistic frequency histogram high in a kind of box design method of express delivery of the present invention；.
Specific embodiment
Present invention is further described in detail with embodiment with reference to the accompanying drawing.
As shown in Figures 1 to 4, the box design method of a kind of express delivery, includes the following steps:
(1) History Order data are collected；
(2) it calculates History Order and uses length and width and high frequency distribution in box volume section；
(3) volume of frequency and highest length data group as box is selected.
In step (1), History Order data include that the commodity in each order need length size using box.
In step (2), calculating History Order using length and width in box volume section and high frequency distribution includes:
1. obtaining cluster centre by clustering algorithm: box type is n, quantity on order m, then makees to n box type
For the central point of initial clustering, box type is assigned in n class according to minimal distance principle；Calculate the change of each box type
Mean value is measured, the cluster centre of n mean value is formed；Constantly it is iterated, until the value of n cluster centre is no longer changed,
Output data cluster result；
2. obtaining box added value according to Sigma's impurity elimination principle:
Be calculated each point in every class to such cluster centre distance, as added value；
3. calculating box volume:
Box volume=(cluster centre+added value)/trunkful rate；
Wherein, trunkful rate are as follows: during virtual package, the maximum volume rate of chest；
4. determining box size: according to step 3. calculated every kind of box volume, if box volume is v, box length
For l, box width is w, and box height is h, then v=l*w*h, then can be generated the length of each size of every kind of box
Data group, then the frequency of length data is f1, f2, f3, the then value of f1+f2+f3 in statistical history order data respectively
It is final size for maximum group of data.
The value range of trunkful rate is 90%~100%.
The present invention has the advantage that:
1. processing data magnitude is big: can handle high-volume order data using clustering algorithm, quickly export optimal box
Design scheme；
2. adaptable: changing for indent structure, design scheme can be provided at any time；
3. the degree of customization is high: relevant parameter can be changed according to client's actual demand, export packaging scheme；
4. low cost: design process low cost, the effect of acquirement is also least cost.
Embodiment 1
Box analysis carried out to the order of first company, in the order used, in total includes 3 boxes, is No. 1, No. 2, No. 3
Box first analyzes existing 3 boxes；
No. 1 box: use ratio: 55%, box volume: 6435 cubic centimetres, small product size/case volume * trunkful rate:
44%.
No. 2 boxes: use ratio: 20%, box volume: 10450 cubic centimetres, small product size/case volume * trunkful rate:
50%.
No. 3 boxes: use ratio: 25%, box volume: 20900 cubic centimetres, small product size/case volume * trunkful rate:
49%.
Then, clustering is carried out to selected History Order data, determines box volume:
No. 1 box: cluster centre: 2125, away from maximum distance between center: 2573, theoretical box volume: 4698 square centimeters.
No. 2 boxes: cluster centre: 6182, away from maximum distance between center: 3245, theoretical box volume: 9427 square centimeters.
No. 3 boxes: cluster centre: 13618, away from maximum distance between center: 3275, theoretical box volume: 16893 squares lis
Rice.
Then bring formula into: box volume=(cluster centre+added value)/trunkful rate；
Obtained box volume is respectively No. 1 box: 7452 square centimeters, No. 2 boxes: 11400 square centimeters, No. 3 casees
Type: 21375 square centimeters.
The need of all History Orders length, width and height attribute to be used is counted, including each data and corresponding use
Frequency generates statistical chart, as shown in Figure 2, Figure 3, Figure 4；
It takes multiplication volume for above-mentioned box volume, and the maximum one group of data of the sum of frequency, then obtains final length
The high data of width are as follows:
No. 1 cabinet: long: 27, wide: 23, high: 12, box volume: 7452.
No. 2 cabinets: long: 38, wide: 25, high: 12, box volume: 11400.
No. 3 cabinets: long: 38, wide: 25, high: 22.5, box volume: 21375.
In short, the foregoing is merely presently preferred embodiments of the present invention, it is all according to equalization made by scope of the present invention patent
Variation and modification, shall all be covered by the patent of the invention.
Claims (4)
1. a kind of box design method of express delivery, which comprises the steps of:
(1) History Order data are collected；
(2) it calculates History Order and uses length and width and high frequency distribution in box volume section；
(3) volume of frequency and highest length data group as box is selected.
2. a kind of box design method of express delivery according to claim 1, it is characterised in that: in step (1), History Order
Data include that the commodity in each order need length size using box.
3. a kind of box design method of express delivery according to claim 2, it is characterised in that: in step (2), calculating process
Include:
1. obtaining cluster centre by clustering algorithm:
Box type is n, quantity on order m, the then central point to n box type as initial clustering, foundation minimum range
Box type is assigned in n class by principle；The mean variable value of each box type is calculated, the cluster centre of n mean value is formed；No
It is disconnected to be iterated, until the value of n cluster centre is no longer changed, output data cluster result；
2. obtaining box added value according to Sigma's impurity elimination principle:
Be calculated each point in every class to such cluster centre distance, as added value；
3. calculating box volume:
Box volume=(cluster centre+added value)/trunkful rate；
Wherein, trunkful rate are as follows: during virtual package, the maximum volume rate of chest；
4. determining box size: according to step 3. calculated every kind of box volume, if box volume is v, box length is l,
Box width is w, and box height is h, then v=l*w*h, then can be generated the length data of each size of every kind of box
Group, then the frequency of length data is f1, f2, f3 in statistical history order data respectively, then the value of f1+f2+f3 is most
Big group data are final size.
4. a kind of box design method of express delivery according to claim 3, it is characterised in that: the value range of trunkful rate is
90%~100%.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811158826.5A CN109515911B (en) | 2018-09-30 | 2018-09-30 | Box type design method for express delivery |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811158826.5A CN109515911B (en) | 2018-09-30 | 2018-09-30 | Box type design method for express delivery |
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| CN109515911A true CN109515911A (en) | 2019-03-26 |
| CN109515911B CN109515911B (en) | 2020-09-22 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113034228A (en) * | 2021-03-19 | 2021-06-25 | 上海哔哩哔哩科技有限公司 | Order management method and device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5754449A (en) * | 1995-04-25 | 1998-05-19 | Instrumented Sensor Technology, Inc. | Method and apparatus for recording time history data of physical variables |
| CN105096159A (en) * | 2015-06-30 | 2015-11-25 | 北京中电普华信息技术有限公司 | Method and device for predicting regional electricity sales |
| CN107239924A (en) * | 2017-06-08 | 2017-10-10 | 北京惠赢天下网络技术有限公司 | It is a kind of that goods set meal generation method and system are matched somebody with somebody based on standard container |
| CN108108933A (en) * | 2017-12-01 | 2018-06-01 | 中国联合网络通信集团有限公司 | Position distribution method of storing in a warehouse and device |
-
2018
- 2018-09-30 CN CN201811158826.5A patent/CN109515911B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5754449A (en) * | 1995-04-25 | 1998-05-19 | Instrumented Sensor Technology, Inc. | Method and apparatus for recording time history data of physical variables |
| CN105096159A (en) * | 2015-06-30 | 2015-11-25 | 北京中电普华信息技术有限公司 | Method and device for predicting regional electricity sales |
| CN107239924A (en) * | 2017-06-08 | 2017-10-10 | 北京惠赢天下网络技术有限公司 | It is a kind of that goods set meal generation method and system are matched somebody with somebody based on standard container |
| CN108108933A (en) * | 2017-12-01 | 2018-06-01 | 中国联合网络通信集团有限公司 | Position distribution method of storing in a warehouse and device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113034228A (en) * | 2021-03-19 | 2021-06-25 | 上海哔哩哔哩科技有限公司 | Order management method and device |
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