CN107983656B

CN107983656B - Method for sowing and sorting fresh goods

Info

Publication number: CN107983656B
Application number: CN201711255204.XA
Authority: CN
Inventors: 吴攀华; 刘小勇
Original assignee: Ningbo Guagua Agricultural Technology Co ltd
Current assignee: Ningbo Guagua Agricultural Technology Co ltd
Priority date: 2017-12-02
Filing date: 2017-12-02
Publication date: 2020-07-24
Anticipated expiration: 2037-12-02
Also published as: CN107983656A

Abstract

The invention discloses a method for sowing and sorting fresh goods, which is used for sowing and sorting single goods in a plurality of containers to a plurality of goods collecting positions and comprises the following steps: step one, generating a sorting task, wherein the sorting task comprises the positions of the goods collecting positions and the demand of a single article of each goods collecting position; secondly, generating a distribution path of the single products according to the names, the number, the sorting tasks and the sorting conditions of the single products in the container; and thirdly, sowing and sorting the single products to corresponding goods collecting positions according to a distribution path. The technical scheme of the invention has the beneficial effects that: 1. the distribution route is ensured to start sorting so that the distance of the distribution route is shortest and the distribution route does not conflict with the sorting paths of other employees; 2. the automatic distribution letter sorting task can accurately judge suitable distribution line numerical value, reduces staff's work load, raises the efficiency.

Description

Method for sowing and sorting fresh goods

Technical Field

The invention relates to the field of production management, in particular to a method for sowing and sorting fresh goods.

Background

The sowing type sorting is similar to the sowing operation in the field. The specific method comprises the following steps: and intensively transporting a large number of the same kind of cargos to a delivery yard, respectively taking out the cargos according to the delivery volume of each cargo, and respectively putting the cargos to the cargo space of each representative user until the cargo distribution is finished.

In commercial retail logistics distribution centers, there are various methods of picking operations with a split zero, which can be generally categorized into two types: 1. sorting orders respectively, commonly called fruit picking type 2, gathering and sorting commodities respectively, commonly called seeding type. Today, the sorting process of removing the parts is more definitely divided into a fruit picking type and a seeding type when the electronic display label is adopted to assist the sorting. 1) The picking method is that for each order (each client), picking personnel or equipment go round each goods storage position to take out the needed goods (similar to picking fruits). It features that each person only processes one order (or one client) at a time. The electronic display tags are used for picking fruits and sorting, generally, each kind of goods (goods location) is required to correspond to one electronic tag, the control computer system can send out goods delivery instructions according to the goods position and order data and enable the electronic display tags on the goods shelf to be lightened, and an operator can timely and accurately complete goods picking according to the quantity displayed by the electronic tags. 2) The sowing type sorting (collecting and sorting of commodities) is that multiple orders (the requisition demands of multiple customers) are collected into one batch, the quantity of each commodity is collected, and then all the customers are sorted one by one (similar to sowing). Therefore, it is more appropriate to call it "the distribution of the product categories". The sowing type sorting system using electronic display labels is characterized in that each electronic label goods space represents an order (a customer), an operator inputs information of goods to be sorted into the system through bar code scanning, the electronic label of a goods distribution position of the goods (the customer) needing to be sorted is lightened, and the quantity of the goods required to be distributed at the position is displayed. The picking personnel or equipment carrying a variety of goods go round the goods distribution positions of all customers and distribute the goods according to the displayed quantity.

The prior sorting system adopts the following related technologies: positioning a starting point of operation: after the sorter takes the goods, any goods collecting position is scanned, the system recommends the nearest demand point (sorting task), and then the operation is started from the point in sequence. In the fresh and fresh sorting operation, the sku is picked up by staff, and then the manual selection of the sorting task is a common sorting mode.

Due to the nature of fresh electric commerce, a plurality of routes needing to be delivered by a driver are determined, and the number and quantity of sku (units for stock in and out metering) products required by the routes are different; when a plurality of employees seed skus from different sources to a plurality of distribution routes simultaneously, the workload is large, and the shortest route from the distribution route to the sorting is difficult to determine, and the sorting does not conflict with the sorting routes of other employees.

In view of the above, to solve the following problems: (1) the same person can work by a plurality of persons at the same time, so that the path taken by the task of the current lead is difficult to ensure and is not overlapped with other persons; (2) the warehouse that the fresh produce class is more, many people's simultaneous operation, and the manual work is received and is sorted the task, and the letter sorting route of seeding is big, and the manual work is received and is sorted the unable accurate delivery line numerical value that judges of task. It is particularly necessary to design a path algorithm for reducing the seeding distance of the fresh food in the sorting system.

Disclosure of Invention

The invention aims to provide a method for sowing and sorting fresh goods with high efficiency.

The invention discloses a method for sowing and sorting fresh goods, which is used for sowing and sorting single goods in a plurality of containers to a plurality of goods collecting positions and comprises the following steps:

step one, generating a sorting task, wherein the sorting task comprises the positions of the goods collecting positions and the demand of a single article of each goods collecting position;

secondly, generating a distribution path of the single products according to the names, the number, the sorting tasks and the sorting conditions of the single products in the container;

and thirdly, sowing and sorting the single products to corresponding goods collecting positions according to a distribution path.

The invention discloses a method for sowing and sorting fresh goods, wherein the second step comprises the following steps:

determining whether the individual items in the container have been seeded based on the scanned container,

if the seeding is not performed, judging whether other single products are seeded, if no other single products are seeded, generating a first distribution path of the single products in the container, starting from a collection position requiring the minimum number of the single products at the starting point of the first distribution path, if the other single products are seeded, searching for a seeding end point of the other seeded single products, and generating a second distribution path of the single products in the container, wherein the starting point of the second distribution path is the next point of the seeding end point of the other seeded single products;

if the seeding is carried out, searching a last end point which can be met by the single products in other containers for containing the single products and judging whether the quantity of the single products at the last end point is not greater than 0, if not, generating a third distribution path of the single products in the containers, wherein the starting point of the third distribution path is the next point of the last end point, and if the quantity of the single products is greater than 0, generating a fourth distribution path of the single products in the containers, and the starting point of the fourth distribution path is the end point which can be met by the single products in other containers.

The method for sowing and sorting the fresh goods comprises the following steps of: and calculating the quantity of the goods collecting positions which can be satisfied by the single goods in the container, the starting point of the distribution path, the ending point of the distribution path, the quantity which can be satisfied by the ending point of the distribution path and the quantity which can not be satisfied in sequence according to the sequence number of the goods collecting positions from small to large.

The invention discloses a method for sowing and sorting fresh goods, which further comprises the following steps:

and step four, judging whether the final position of the single product distribution is the end point of a distribution path of the corresponding single product, if so, finishing the task, and if not, generating the next distribution path of the single product.

The technical scheme of the invention has the beneficial effects that:

1. the distribution route is ensured to start sorting so that the distance of the distribution route is shortest and the distribution route does not conflict with the sorting paths of other employees;

2. the automatic distribution letter sorting task can accurately judge suitable distribution line numerical value, reduces staff's work load, raises the efficiency.

Drawings

FIG. 1 is a flow chart of the method for sowing and sorting fresh goods according to the present invention;

FIG. 2 is a schematic diagram of a goods sorting and collecting area for sorting fresh goods according to an embodiment of the method for sowing and sorting fresh goods of the present invention;

fig. 3 is a schematic diagram of a distribution line in an embodiment of the fresh goods sowing and sorting method of the present invention;

fig. 4 is an operation schematic diagram of embodiment 1 of the fresh goods sowing and sorting method of the present invention;

fig. 5 is an operation schematic diagram of embodiment 2 of the fresh goods sowing and sorting method of the present invention.

Detailed Description

The technical scheme of the invention relates to a fresh goods sowing and sorting method for reducing a fresh sowing and sorting route. When the method for sowing and sorting the fresh goods is used, a plurality of sorting staff sow a plurality of skus to a plurality of collection positions, and the starting points (collection positions) and the ending points (collection positions) of the skus needing to be sown are automatically calculated by acquiring the source of each sku, so that the sorting tasks are automatically distributed to the sorting staff and the sorting paths of the skus working with other people are staggered.

The technical scheme of the invention ensures that the distribution route starts from different cargo collection points, has the shortest route and does not conflict with the sorting paths of other employees. The technical scheme of the invention can accurately judge the proper distribution line, reduce the workload of staff, improve the efficiency and is easy to popularize and use.

Referring to fig. 1 to 5, the following technical solutions are adopted in the present embodiment: a path algorithm for reducing seeding and sorting distance of fresh food comprises the following steps:

(1) the system first generates a sort task: dimension of sorting task: the distribution lines + the demand of a single sku (1 distribution line is bound with a cargo collection row);

(2) the sorter scans any one of the containers which have been picked to the sorting area, and at this time, the system judges whether the goods have been sown:

if the commodity is not sowed, judging whether other commodities are sowed or not, if not, performing the step (3), and if so, performing the step (4);

if the commodity is sowed, the step (5) is carried out;

(3) 1 sorting task with the required quantity is distributed by the system, starting from the minimum goods collecting position, and then the step (8) is carried out;

(4) searching the maximum end point of other products by the background, distributing 1 task to be sorted, relaying different products according to containers, and then performing the step (8);

(5) searching the maximum end point of other containers of the same commodity (relay according to the commodity of the same commodity) by the background;

if the number of the unsatisfied maximum end points is larger than 0, performing the step (6);

otherwise, the step (7) is carried out;

(6) the sorting task distributed by the system is that the maximum end point of the same product is the starting point of the sorting, the sorting amount is the insufficient amount of the previous container, and then the step (8) is carried out;

(7) the sorting task distributed by the system is the next required sorting task at the maximum end point of the same product, which is the starting point of the sorting, and then the step (8) is carried out;

(8) meanwhile, the background cycles from small to large according to the order of the goods collecting positions (if the order is maximum, but the small goods collecting positions have demands, the cycle is started from the minimum), and the sorting tasks of the goods in the container which can sequentially meet the goods collecting positions are calculated, the position of an end point (the goods collecting position) is calculated, and the full amount and the insufficient amount of the end point are calculated;

(9) according to the quantity required by the sorting task, placing the commodities in the container on a (distribution line) goods collecting position;

judging whether the current sorting end point of the container is reached, and if the current goods collecting position is the end point and the sorting task is finished, finishing the sorting;

otherwise, the step (10) is carried out;

(10) the next sort job (in order of the pallet) is assigned and step (9) is then performed.

In the specific embodiment, when a plurality of skus are sown to a plurality of goods collecting positions by a plurality of sorters, the algorithm automatically allocates sorting tasks to the staff by acquiring the source of each sku and automatically calculating the starting point (goods collecting position) and the ending point (goods collecting position) of the sku to be sown, and the staff are staggered with the sorting paths operated by other people, so that the distribution route is ensured to start sorting to enable the distance of the distribution route to be shortest and not to conflict with the sorting paths of other staff.

When the warehouse adopts seeding and sorting, a sorter sorts sku in a received container into a certain distribution line one by one (namely, one distribution line and sku are a sorting task), and the system prompts that commodities in a source container are moved to a goods collection area (as shown in figure 2) with the distribution line as a dimension according to the required quantity after sorting is finished.

When the sorting area starts to sow seeds, after a sorting person scans a container number (such as a container 1), the system recommends a required initial goods collecting position (starting from the minimum goods collecting position, such as the goods collecting position of a distribution line 1), the sorting person places the required quantity of the distribution lines in the container to the goods collecting position of the distribution line 1, and the background simultaneously calculates the end point (the goods collecting position) which can meet the sorting of the container 1 and the quantity which cannot meet the end point (the goods collecting position of the line 3, and cannot meet 15);

when other staff scan other containers, if the scanned containers contain different commodities, the system recommends the sorted goods collection position number (the next goods collection position which can satisfy the maximum goods collection position for the previous staff, and the goods collection positions are repeatedly circulated); if the scanned container is the same commodity, the system recommends the sorted goods-collecting position number (the number is used for relaying other containers of the commodity and can meet the shortage of the maximum goods-collecting position).

The containers in the sorting area are finally distributed to each goods collecting space (different goods are relayed according to the containers and the goods are relayed according to the goods) so as to achieve the purpose of reducing the sorting distance (figure 3).

This embodiment is applicable to the following types of warehouses: (1) and (5) sorting the warehouses according to the distribution line requirements, and performing a sowing operation mode. (2) After picking up multiple products and multiple containers, multiple users are needed to pick up multiple products at the same time.

In summary, the following steps: the path algorithm method is suitable for the sowing operation of fresh electric commerce, can automatically distribute sorting tasks, accurately judge the appropriate distribution line value, reduce the workload of staff, improve the efficiency and have wide market application prospect.

Example 1: (1) distribution route 1, binding aggregation level FA 01.

Line 2 bound set cargo space FA02, line 3 bound set cargo space FA03, and so on …

The order for distribution line 1 requires skuA 30 bags, skuB 25 bags, and skuC 40 bags.

There are 10 lines in total, and the number of sku required for each line is as follows:

(2) in the sorting area, there are 5 containers with available stock for the employees to be sorted to take in

Line sorting:

(3) after the first sorter R1 scans any container number (e.g., container TP001), the system first determines whether sku in the container has a seed sorting.

The skuA for that container was not seeded in that job lot and no other goods were seeded, then the system recommends an initial lot FA01 (from the smallest).

(4) Meanwhile, the background calculates that the container TP001 can meet the cargo collection positions and the full amount and the insufficient amount of the end point in turn according to the cargo collection position sequence: FA01, FA02, FA 03;

wherein FA03 is partially satisfied (skuA demand 45, satisfy 30, lack 15)

(5) After the second sorter R2 scans any container number (e.g., container TP002), the system first determines whether sku in the container has a seed sorting.

The skuB of the container is not sown in the operation batch, but the final end point before other commodities is FA03, the system recommends a cargo collection position FA04 (which is a next required cargo collection position for the last employee to meet FA03 at the final cargo collection position, that is, different commodities relay by container);

(6) meanwhile, the background calculates that the container TP002 sequentially satisfies the cargo collection positions according to the cargo collection position sequence, and the satisfiable amount and the unsatisfiable amount of the end point: FA04, FA07, FA 08;

wherein FA08 is partially satisfied (skuB requirement 10, satisfy 5, lack 5)

(7) After the third sorting staff R3 scans any container number (such as container TP005), the system first determines whether sku in the container has seeding and sorting.

After the skuA of the container is sown in the operation batch, the background searches for the last end point of other containers of the same commodity (the relay of the same commodity according to the commodity), and then the system recommends a cargo collection position FA03 (requirement 45, TP001 is satisfied by 30, and TP002 is required to be satisfied by 15).

(8) Meanwhile, the background calculates that the container TP005 can meet the cargo collection positions and the satisfiable amount and the unsatisfiable amount of the end point in turn according to the sequence of the cargo collection positions: FA03, FA05, FA06, FA07, FA 08;

wherein FA08 is partially satisfied (skuA demand 45, satisfy 15, lack 30)

(9) After the fourth sorter R4 scans any container number (e.g., container TP003), the system first determines whether sku in the container has a seed sort.

The skuC of the container is not sown in the operation batch, but the current final end point of other commodities is FA08, the system recommends a goods collection position FA010 (which is a next required goods collection position for the last staff to meet the final goods collection position FA 08. namely, different commodities are relayed by container);

(10) meanwhile, the background calculates that the container TP003 can meet the cargo collection positions and the full amount and the insufficient amount of the end point in turn according to the cargo collection position sequence: FA10, FA 01;

wherein FA01 is partially satisfied (skuC requirement 40, satisfy 30, lack 10)

(11) The fifth sorter R5 scans any container number (e.g., container TP004), and the system first determines whether sku in the container has seeds for sorting.

After the skuB of the container is sown in the operation batch, the background searches for the last end point of other containers of the same commodity (the same commodity is relayed by commodity), and then the system recommends a cargo collection position FA08 (requirement 10, TP002 is met by 5, and TP004 is also needed to be met by 5).

(12) Meanwhile, the background calculates that the container TP004 can meet the cargo collection positions and the full amount and the insufficient amount of the end point in turn according to the sequence of the cargo collection positions: FA08, FA10, FA 01;

the skuB of the 3 cargo collection rows exactly meet the requirements;

(13) each sorter places the items in the containers in the order of the desired number of sortation tasks (distribution lines) onto a collection space.

If the current goods collecting position is the end point and the sorting task is finished, the sorting task is finished.

The final operation diagram of this embodiment is shown in fig. 4.

Example 2: (1) distribution route 1, binding aggregation level FA 01.

Line 2 binds to set cargo space FA02, line 3 binds to set cargo space FA03, and so on … … delivers line 1 order requirements skuB 25 bags, skuC 40 bags.

(2) in the sorting area, the following containers are arranged, available stocks are arranged in the containers, and staff to be sorted receive the containers for sorting:

The skuA for that container was not seeded in that job lot and no other goods were seeded, then the system recommends an initial lot FA02 (from the smallest).

(4) Meanwhile, the background calculates that the container TP001 can meet the cargo collection positions and the full amount and the insufficient amount of the end point in turn according to the cargo collection position sequence: FA02, FA05, FA 06;

wherein FA06 is partially satisfied (skuA requirement 30, satisfy 10, lack 20)

The skuB of the container is not sown in the operation batch, but the final end point before other commodities is FA06, the system recommends a cargo collection position FA07 (which is a next required cargo collection position for the last employee to meet FA06 at the final cargo collection position, that is, different commodities relay by container);

(6) meanwhile, the background calculates that the container TP002 sequentially satisfies the cargo collection positions according to the cargo collection position sequence, and the satisfiable amount and the unsatisfiable amount of the end point: FA07, FA08, FA 01;

wherein FA01 is partially satisfied (skuB requirement 25, satisfy 10, lack 15)

(7) And after a third sorting person R3 scans any container number (such as a container TP004), the system firstly judges whether sku in the container has sowing and sorting.

After the skuB of the container is sown in the operation batch, the background searches for the last end point of other containers of the same commodity (the same commodity is relayed by the commodity), and then the system recommends a cargo collection position FA01 (requirement 25, TP001 has been satisfied 10, and requirement 15 needs TP004 to be satisfied).

(8) Meanwhile, the background calculates that the container TP005 can meet the cargo collection positions and the satisfiable amount and the unsatisfiable amount of the end point in turn according to the sequence of the cargo collection positions: FA01, FA03, FA 04;

wherein FA04 is partially satisfied (skuB requirement 25, satisfy 5, lack 20)

The skuC of the container is not sown in the operation batch, but the current final end point of other commodities is FA04, the system recommends a cargo collection position FA06 (which is the next required cargo collection position for the last staff to meet FA04, namely, different commodities relay by container);

(10) meanwhile, the background calculates that the container TP003 can meet the cargo collection positions and the full amount and the insufficient amount of the end point in turn according to the cargo collection position sequence: FA06, FA 08;

(11) each sorter places the items in the containers in the order of the desired number of sortation tasks (distribution lines) onto a collection space.

The final operation diagram of this embodiment is shown in fig. 5.

The SKU, which is a basic Unit of Stock Keeping, may be a Unit of a piece, a box, a tray, or the like. SKU this is a necessary method for logistics management in large chain supermarkets DC (distribution centre). Now, it has been extended to the shorthand of a uniform product number, each product corresponding to a unique SKU number. Single product: a commodity is called a single item when its brand, model, configuration, grade, flower color, packaging capacity, unit, date of manufacture, expiration date, use, price, place of manufacture, etc. attributes are different from those of other commodities.

The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention.

Claims

1. A method for seeding and sorting fresh goods is used for seeding and sorting single goods in a plurality of containers to a plurality of goods collecting positions, and is characterized by comprising the following steps:

step three, sowing and sorting the single products to corresponding goods collecting positions according to a distribution path, wherein the step two comprises the following steps:

2. The method for seeding and sorting fresh goods according to claim 1, wherein the step of generating a distribution path for the single goods in the container comprises the steps of: and calculating the quantity of the goods collecting positions which can be satisfied by the single goods in the container, the starting point of the distribution path, the ending point of the distribution path, the quantity which can be satisfied by the ending point of the distribution path and the quantity which can not be satisfied in sequence according to the sequence number of the goods collecting positions from small to large.

3. The fresh goods sowing and sorting method according to claim 1, further comprising: