CN110826948B - Warehouse selecting method and device - Google Patents
Warehouse selecting method and device Download PDFInfo
- Publication number
- CN110826948B CN110826948B CN201810896520.3A CN201810896520A CN110826948B CN 110826948 B CN110826948 B CN 110826948B CN 201810896520 A CN201810896520 A CN 201810896520A CN 110826948 B CN110826948 B CN 110826948B
- Authority
- CN
- China
- Prior art keywords
- item
- order
- selectable
- warehouse
- index
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 43
- 230000007306 turnover Effects 0.000 claims description 12
- 238000000926 separation method Methods 0.000 claims description 10
- 238000004590 computer program Methods 0.000 claims description 9
- 238000010187 selection method Methods 0.000 claims description 3
- 230000003247 decreasing effect Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 11
- 238000004891 communication Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 6
- 238000012545 processing Methods 0.000 description 6
- 238000004519 manufacturing process Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- SLXKOJJOQWFEFD-UHFFFAOYSA-N 6-aminohexanoic acid Chemical compound NCCCCCC(O)=O SLXKOJJOQWFEFD-UHFFFAOYSA-N 0.000 description 1
- 241000531116 Blitum bonus-henricus Species 0.000 description 1
- 235000008645 Chenopodium bonus henricus Nutrition 0.000 description 1
- 229920002430 Fibre-reinforced plastic Polymers 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000011151 fibre-reinforced plastic Substances 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
Landscapes
- Business, Economics & Management (AREA)
- Economics (AREA)
- Engineering & Computer Science (AREA)
- Marketing (AREA)
- Quality & Reliability (AREA)
- Finance (AREA)
- Entrepreneurship & Innovation (AREA)
- Human Resources & Organizations (AREA)
- Accounting & Taxation (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
Abstract
The invention discloses a warehouse selecting method and device, and relates to the technical field of computers. One embodiment of the method comprises the following steps: determining a split index for each selectable item; sequentially judging whether the selectable articles are target articles which can be stored in a warehouse according to the sequence of the order splitting indexes from small to large; wherein the sum of the inventory volumes of all target items is not greater than the total available storage space of the warehouse. According to the embodiment, whether the selectable articles are target articles which can be stored in the warehouse or not is judged in sequence according to the order of the order splitting indexes of the selectable articles from small to large, and the articles can be selected according to the order splitting indexes under the condition that the storage capacity of the warehouse is fully utilized, so that the method is simple and efficient, and the order splitting condition is reduced as much as possible.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a warehouse selecting method and device.
Background
When a warehouse is newly built or scaled up, it is necessary to consider selecting the products stored in the warehouse, i.e., warehouse options. Typically, the general class of goods stored in a warehouse is determined by business, i.e. business planning determines which general class or classes of goods, such as food, clothing or electronic products, etc., can be stored.
However, the number of kinds of goods under a large class is usually very large, and the storage space of the warehouse is limited, and all goods under a large class cannot be stored in one warehouse (usually, the storage amount of one kind of goods in one warehouse is a turnover inventory of a plurality of days), so that the selection of several kinds of goods under a large class needs to be considered to be stored in the warehouse. Because of the limited variety of goods stored in one warehouse, there is always a need to have one order with only a part of goods in the warehouse, and other parts need to be selected in other warehouses, namely, the split list production needs to be carried out, and the split list production needs to be combined after the split list production is carried out respectively, so that the cost is high, and it is generally desirable to select suitable goods to store in the same warehouse so as to reduce the split list quantity.
In the process of implementing the present invention, the inventor finds that at least the following problems exist in the prior art:
currently, commodity selection is usually performed manually according to a certain business logic, such as selecting commodities corresponding to a higher sales volume or selecting commodities of certain brands.
Generally, the number of commodity types under a large class is in ten thousand units, so that the selection is complicated by people according to a certain logic, and the selected commodity may not be the one with the least or less number of detached orders.
Disclosure of Invention
In view of the above, the embodiment of the invention provides a warehouse article selecting method and device, which can dynamically calculate the bill disassembly index of each article under the condition of fully utilizing the warehouse storage capacity, select the article according to the bill disassembly index, and further reduce the bill disassembly condition as much as possible.
To achieve the above object, according to an aspect of the embodiments of the present invention, there is provided a warehouse item selection method, including: determining a split index for each selectable item; sequentially judging whether the selectable articles are target articles which can be stored in a warehouse according to the sequence of the order splitting indexes from small to large; wherein the sum of the inventory volumes of all target items is not greater than the total available storage space of the warehouse.
Optionally, the method further comprises: determining orders related to the selectable items within a preset time period to generate an order set; determining the number of orders in the order set and the number of item categories of each order; a split index for each selectable item is determined based on the number of orders and the item category number for each order.
Optionally, determining the split index of the selectable item according to the following formula (1):
wherein s represents an optional item, c s Representation canThe order splitting index of the selected item S, |O| represents the number of orders, |S o I indicates the item category number of the order, |s o S| represents the number of item categories in the order after optional item s is removed.
Optionally, sequentially determining whether the selectable items are target items that can be stored in the warehouse according to the order of the order splitting index from small to large includes:
the following steps A-E are repeated to determine whether the selectable item is a target item that can be stored in the warehouse:
step A: judging whether the sum of the inventory volumes of the optional articles with the smallest separation index and the determined target articles is not larger than the total available storage space of the warehouse;
and (B) step (B): if yes, determining the selectable item with the smallest splitting index as a target item;
step C: for each order containing the selectable item with the smallest split index, deleting the selectable item from the order to update the item category number of the order;
step D: deleting orders with the item category number of zero to update the number of the orders;
step E: a split index for the remaining selectable items is determined based on the updated number of orders and the item category number for each order.
Optionally, the method further comprises: the inventory volume of the selectable item is determined based on the volume of the selectable item, the daily average sales and the turnaround days.
Optionally, the inventory volume of the selectable item is determined according to the following equation (2):
V s ＝q s ·t·v s (2)
wherein V is s Representing inventory volume, q, of selectable item s s Representing the average daily sales of the selectable item s, t representing the turnover number of days of the selectable item s, v s Representing the volume of the selectable item s.
To achieve the above object, according to another aspect of the embodiments of the present invention, there is provided a warehouse option device, including: the sheet removal index determining module is used for determining the sheet removal index of each selectable article; the target article judging module is used for sequentially judging whether the selectable articles are target articles which can be stored in the warehouse according to the order of the order splitting indexes from small to large; wherein the sum of the inventory volumes of all target items is not greater than the total available storage space of the warehouse.
Optionally, the split index determining module is further configured to: determining orders related to the selectable items within a preset time period to generate an order set; determining the number of orders in the order set and the number of item categories of each order; a split index for each selectable item is determined based on the number of orders and the item category number for each order.
Optionally, the order splitting index determination module determines the order splitting index of the selectable item according to the following formula (1):
wherein s represents an optional item, c s A split index representing selectable item S, |O| represents the number of orders, |S o I indicates the item category number of the order, |s o S| represents the number of item categories in the order after optional item s is removed.
Optionally, the target article judging module is further configured to:
the following steps A-E are repeated to determine whether the selectable item is a target item that can be stored in the warehouse:
step A: judging whether the sum of the inventory volumes of the optional articles with the smallest separation index and the determined target articles is not larger than the total available storage space of the warehouse;
and (B) step (B): if yes, determining the selectable item with the smallest splitting index as a target item;
step C: for each order containing the selectable item with the smallest split index, deleting the selectable item from the order to update the item category number of the order;
step D: deleting orders with the item category number of zero to update the number of the orders;
step E: a split index for the remaining selectable items is determined based on the updated number of orders and the item category number for each order.
Optionally, the apparatus further comprises an inventory volume determination module for determining an inventory volume of the selectable item based on the volume, the daily average, and the turnover days of the selectable item.
Optionally, the inventory volume determination module determines the inventory volume of the selectable item according to the following equation (2):
V s ＝q s ·t·v s (2)
wherein V is s Representing inventory volume, q, of selectable item s s Representing the average daily sales of the selectable item s, t representing the turnover number of days of the selectable item s, v s Representing the volume of the selectable item s.
To achieve the above object, according to still another aspect of the embodiments of the present invention, there is provided an electronic device including: one or more processors; and the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are enabled to realize the warehouse option method of the embodiment of the invention.
To achieve the above object, according to still another aspect of the embodiments of the present invention, there is provided a computer readable medium having stored thereon a computer program which when executed by a processor implements a warehouse option method of the embodiments of the present invention.
One embodiment of the above invention has the following advantages or benefits: the method adopts the technical means that whether the selectable articles are target articles which can be stored in the warehouse or not is judged in sequence from small to large according to the order of the order splitting indexes of the selectable articles, wherein the sum of the stock volumes of all the target articles is not larger than the total available storage space of the warehouse, so that the commodity can be selected according to the order splitting indexes under the condition of fully utilizing the stock storage capacity of the warehouse, and the situation of order splitting is simple and efficient, and is reduced as much as possible.
Further effects of the above-described non-conventional alternatives are described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic diagram of the main flow of a warehouse option method according to an embodiment of the invention;
FIG. 2 is a schematic diagram of the primary modules of a warehouse option device according to an embodiment of the invention;
FIG. 3 is an exemplary system architecture diagram in which embodiments of the present invention may be applied;
fig. 4 is a schematic diagram of a computer system suitable for use in implementing an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present invention are included to facilitate understanding, and are to be considered merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic diagram of the main flow of a warehouse option method according to an embodiment of the invention, as shown in fig. 1, the method includes:
step S01: determining a split index for each selectable item;
step S102: sequentially judging whether the selectable articles are target articles which can be stored in a warehouse according to the sequence of the order splitting indexes from small to large; wherein the sum of the inventory volumes of all target items is not greater than the total available storage space of the warehouse.
In this embodiment, the article class stored in the warehouse may be determined according to a business plan or business requirement, for example, the article class may be clothing, electronic equipment, furniture/home or household appliances. All the articles under the article large class are optional articles.
The order splitting index is used to indicate the likelihood that the selectable item is in the same order as other selectable items placed in the item class, and the smaller the order splitting index, the higher the likelihood that the selectable item is in the same order as other selectable items, the lower the likelihood of order splitting.
In an alternative embodiment, the order splitting index of the alternative commodity may be determined according to the following procedure:
determining orders related to the selectable items within a preset time period to generate an order set;
determining the number of orders in the order set and the number of item categories of each order;
a split index for each selectable item is determined based on the number of orders and the item category number for each order.
The preset time period can be flexibly set according to service planning or service requirements, and the invention is not limited herein. As a specific example, the preset time period may be one month. Further, orders related to the selectable items within one month are determined, and an order set O is obtained. Then, the number of orders in the order set O and the number of commodity categories in each order are determined, and the number of orders and the number of commodity categories in each order are used for calculating the split index of each selectable commodity.
Specifically, the drape index of the selectable item is determined according to the following formula (1):
wherein s represents an optional item, c s A split index representing selectable item S, |O| represents the number of orders, |S o I indicates the item category number of the order, |s o S| represents the number of item categories in the order after optional item s is removed. If the selectable item S belongs to the order S o (i.e. s.epsilon.S o ) Then |S o \s|＝|S o -1; if the selectable item S does not belong to order S o (i.e) Then |S o \s|＝|S o |。
For step S102, the following steps a-E may be repeated to determine whether the selectable item is a target item that may be stored in the warehouse:
step A: judging whether the sum of the inventory volumes of the optional articles with the smallest separation index and the determined target articles is not larger than the total available storage space of the warehouse;
and (B) step (B): if yes, determining the selectable item with the smallest splitting index as a target item;
step C: for each order containing the selectable item with the smallest split index, deleting the selectable item from the order to update the item category number of the order;
step D: deleting orders with the item category number of zero to update the number of the orders;
step E: a split index for the remaining selectable items is determined based on the updated number of orders and the item category number for each order.
In this embodiment, after each item is determined to be a target item, deleting the item from the order containing the item, updating the item type number of the order, deleting the order with zero item type number in the updated order, updating the order number, recalculating the order splitting index of the remaining items based on the updated order number and the item type number of each order, selecting the item with the smallest order splitting index from the remaining items and judging whether the item is the target item, and repeating the above steps until the inventory volume of all the target items is greater than the total available storage space of the warehouse or all the items are determined to be target products.
As a specific example, the set of selectable items may be noted as set m= { M 1 ，m 2 ，m 3 ，……m n }，m n Representing an alternative item, n is an integer greater than 1.
Selecting orders related to selectable items in set M in the past month, and recording the orders as an order set o= { O 1 ，O 2 ，O 3 Therefore, the number of orders in order set O is lO |=3. The number of item categories in each order in order set O is denoted as S o | a. The invention relates to a method for producing a fibre-reinforced plastic composite. Wherein order O 1 There are 3 kinds of articles, respectively m 1 ，m 2 And m 3 Order O 1 The number of article types in (a)Order O 2 There are 4 kinds of articles, respectively m 1 ，m 2 ，m 4 And item p, order O 2 The number of the article types->Order O 3 There are 1 kind of articles, article m 1 Order O 3 The number of the article types->Thus:
the optional item m is obtainable according to formula (1) 1 Is a split index of (2)The method comprises the following steps:
the optional item m is obtainable according to formula (1) 2 Is a split index of (2)The method comprises the following steps:
the optional item m is obtainable according to formula (1) 3 Is a split index of (2)The method comprises the following steps:
the optional item m is obtainable according to formula (1) 4 Is a split index of (2)The method comprises the following steps:
optional item m 1 Is a split index of (2)If the size is minimum, firstly judging the selectable object m 1 Whether the object is a target object which can be stored in a warehouse, namely judging the optional object m 1 Whether the sum of the inventory volume of (c) and the inventory volume of the determined target item is not greater than the total available storage space of the warehouse, since the determined target item is not yet available at this time, determining an optional item m 1 Whether the inventory volume of (c) is not greater than the total available storage space of the warehouse.
Suppose that alternate item m 1 Is to stock the stock of (a)The product being not greater than the total available storage space of the warehouse, i.e. determining the selectable item m 1 If the object is the object, the following steps are continued:
order O 1 ，O 2 ，O 3 All comprising selectable items m 1 Optional item m in each order 1 Delete order O 1 The rest 2 kinds of articles are respectively m 2 And m 3 Order O 1 The number of article types in (a)Order O 2 The rest 3 articles are respectively m 2 ，m 4 And item p, order O 2 The number of the article types->Order 0 3 If there is no article in, order O 3 The number of the article types->
Delete order O 3 Then order set o= { O 1 ，O 2 The number of orders in order set O is |o|=2;
thus:
the optional item m is obtainable according to formula (1) 2 Is a split index of (2)The method comprises the following steps:
the optional item m is obtainable according to formula (1) 3 Is a split index of (2)The method comprises the following steps:
the optional item m is obtainable according to formula (1) 4 Is a split index of (2)The method comprises the following steps:
optional item m 4 Is a split index of (2)If the size is minimum, firstly judging the selectable object m 4 Whether the object is a target object which can be stored in a warehouse, namely judging the optional object m 4 And the determined target object m 1 Whether the sum of the stock volumes of the warehouse is not greater than the total available storage space of the warehouse, if the optional item m 4 And the determined target object m 1 If the sum of the stock volumes of the warehouse is not greater than the total available storage space, then the optional item m is recalculated according to the above steps 2 And optional item m 3 Is used for judging the splitting index of the file; if optional article m 4 And the determined target object m 1 If the sum of the stock volumes of the warehouse is greater than the total available storage space of the warehouse, stopping the process and determining that the target object stored in the warehouse is m 1 。
In an alternative embodiment, the inventory volume of the selectable item may be determined based on the volume of the selectable item, the daily sales volume, and the days of turnover.
Specifically, the inventory volume of the selectable item is determined according to the following equation (2):
V s ＝q s ·t·v s (2)
wherein V is s Representing inventory volume, q, of selectable item s s Representing the average daily sales of the selectable item s, t representing the turnover number of days of the selectable item s, v s Representing the volume of the selectable item s, i.e. the individual volume of the individual selectable item s is v s . The turnover number of days refers to the number of days that an enterprise has elapsed from the time of acquisition of an item to the time of consumption and sales.
The target object is the object selected by the embodiment and can be stored in the warehouse. Selecting the optional item with the smallest separation index, judging whether the optional item can be stored in the warehouse, namely judging whether the current available storage space of the warehouse is larger than or equal to the inventory volume of the optional item or judging whether the total available storage space of the warehouse is larger than or equal to the sum of the inventory volumes of the optional item and the determined target item; if yes, the selectable article is stored in the warehouse as the target article. And then, recalculating the menu index of the rest optional items, and judging whether the optional item with the smallest new menu index is a target item or not until the warehouse has no available storage space or all the optional items are traversed.
As a specific example, the total available storage space of the warehouse is V max The calculation may be based on the number of storage units in the warehouse and the available storage space of the storage units. Let the sum of the stock volumes of the target articles be V, i.e. the accumulated stock volume of the selected articles be V. Let the set of target items be Ω, at which time there are no target items in the set Ω.
The following steps 1-6 are repeated:
1. selecting a selectable item s with the lowest separation index;
2. at this time, v=v+v s ；
3. Judging: if V > V max Finishing selecting products; if V is less than or equal to V max Adding the commodity s into a set omega;
4. for each order containing selectable item s, deleting selectable item s from the order;
5. removing all empty orders from the order set O, namely, orders with the quantity of the article types of 0;
6. based on the new order quantity and the item category quantity for each order, a split index for the selectable items other than selectable item s is calculated.
And the target objects in the set omega are selected objects to be stored in the warehouse, so that the selection is completed.
If the sum of the stock volumes of all the optional items is not greater than the total available storage space of the warehouse after traversing all the optional items in the order of the order splitting index from small to large, the selection can be stopped, or another item class can be determined according to the business plan, and the optional items under the item class of the warehouse can be continuously selected according to the warehouse selection method.
According to the warehouse option provided by the embodiment of the invention, the technical means that whether the selectable articles are target articles which can be stored in the warehouse or not is sequentially judged according to the order of the order splitting indexes of the selectable articles from small to large is adopted, wherein the sum of the stock volumes of all the target articles is not larger than the total available storage space of the warehouse, so that the order splitting indexes of all the articles can be dynamically calculated under the condition that the stock storage capacity of the warehouse is fully utilized, the commodities are selected according to the order splitting indexes, and the method is simple and efficient, and further the situation of order splitting is reduced as much as possible.
Fig. 2 is a schematic diagram of the main modules of a warehouse option device 200 according to an embodiment of the invention, as shown in fig. 2, the device 200 comprising:
a split index determination module 201 for determining a split index for each selectable item;
the target article judging module 202 is used for sequentially judging whether the selectable articles are target articles which can be stored in a warehouse according to the order of the order splitting indexes from small to large; wherein the sum of the inventory volumes of all target items is not greater than the total available storage space of the warehouse.
Optionally, the splitting index determining module 201 is further configured to:
determining orders related to the selectable items within a preset time period to generate an order set;
determining the number of orders in the order set and the number of item categories of each order;
a split index for each selectable item is determined based on the number of orders and the item category number for each order.
Optionally, the separation index determining module 201 determines the separation index of the selectable item according to the following formula (1):
wherein s represents an optional item, c s A split index representing selectable item S, |O| represents the number of orders, |S o I indicates the item category number of the order, |s o S| represents the number of item categories in the order after optional item s is removed.
Optionally, the target item determining module 202 is further configured to:
the following steps A-E are repeated to determine whether the selectable item is a target item that can be stored in the warehouse:
step A: judging whether the sum of the inventory volumes of the optional articles with the smallest separation index and the determined target articles is not larger than the total available storage space of the warehouse;
and (B) step (B): if yes, determining the selectable item with the smallest splitting index as a target item;
step C: for each order containing the selectable item with the smallest split index, deleting the selectable item from the order to update the item category number of the order;
step D: deleting orders with the item category number of zero to update the number of the orders;
step E: a split index for the remaining selectable items is determined based on the updated number of orders and the item category number for each order.
Optionally, the apparatus further comprises an inventory volume determination module for determining an inventory volume of the selectable item based on the volume, the daily average, and the turnover days of the selectable item.
Optionally, the inventory volume determination module determines the inventory volume of the selectable item according to the following equation (2):
V s ＝q s ·t·v s (2)
wherein V is s Representing inventory volume, q, of selectable item s s Representing the average daily sales of the selectable item s, t representing the turnover number of days of the selectable item s, v s Representing the volume of the selectable item s.
According to the warehouse article selecting device, whether the selectable articles are target articles which can be stored in a warehouse or not is judged sequentially according to the order of the order splitting indexes of the selectable articles from small to large, wherein the sum of the stock volumes of all the target articles is not larger than the total available storage space of the warehouse, so that the order splitting indexes of all the articles can be calculated dynamically under the condition that the stock storage capacity of the warehouse is fully utilized, the commodities are selected according to the order splitting indexes, simplicity and high efficiency are achieved, and the order splitting condition is reduced as much as possible.
The device can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. Technical details not described in detail in this embodiment may be found in the methods provided in the embodiments of the present invention.
Fig. 3 illustrates an exemplary system architecture 300 of a method of warehouse selection or warehouse selection device to which embodiments of the invention may be applied.
As shown in fig. 3, the system architecture 300 may include terminal devices 301, 302, 303, a network 304, and a server 305. The network 304 is used as a medium to provide communication links between the terminal devices 301, 302, 303 and the server 305. The network 304 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
A user may interact with the server 305 via the network 304 using the terminal devices 301, 302, 303 to receive or send messages or the like. Various communication client applications, such as shopping class applications, web browser applications, search class applications, instant messaging tools, mailbox clients, social platform software, etc., may be installed on the terminal devices 301, 302, 303.
The terminal devices 301, 302, 303 may be a variety of electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.
The server 305 may be a server providing various services, such as a background management server providing support for shopping-type websites browsed by the user using the terminal devices 301, 302, 303. The background management server can analyze and other processing on the received data such as the product information inquiry request and the like, and feed back processing results (such as target push information and product information) to the terminal equipment.
It should be noted that, the warehouse selecting method provided in the embodiment of the present invention is generally executed by the server 305, and accordingly, the warehouse selecting device is generally disposed in the server 305.
It should be understood that the number of terminal devices, networks and servers in fig. 3 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 4, there is illustrated a schematic diagram of a computer system 400 suitable for use in implementing an embodiment of the present invention. The terminal device shown in fig. 4 is only an example, and should not impose any limitation on the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 4, the computer system 400 includes a Central Processing Unit (CPU) 401, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage section 408 into a Random Access Memory (RAM) 403. In RAM 403, various programs and data required for the operation of system 400 are also stored. The CPU 401, ROM 402, and RAM 403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output portion 407 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker, and the like; a storage section 408 including a hard disk or the like; and a communication section 409 including a network interface card such as a LAN card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. The drive 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 409 and/or installed from the removable medium 411. The above-described functions defined in the system of the present invention are performed when the computer program is executed by a Central Processing Unit (CPU) 401.
The computer readable medium shown in the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules involved in the embodiments of the present invention may be implemented in software or in hardware. The described modules may also be provided in a processor, for example, as: a processor includes a sending module, an obtaining module, a determining module, and a first processing module. The names of these modules do not constitute a limitation on the unit itself in some cases, and for example, the transmitting module may also be described as "a module that transmits a picture acquisition request to a connected server".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be present alone without being fitted into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to include:
determining a split index for each selectable item;
sequentially judging whether the selectable articles are target articles which can be stored in a warehouse according to the sequence of the order splitting indexes from small to large; wherein the sum of the inventory volumes of all target items is not greater than the total available storage space of the warehouse.
According to the technical scheme, whether the selectable articles are target articles which can be stored in the warehouse or not is judged sequentially according to the order of the order splitting indexes of the selectable articles from small to large, wherein the sum of the stock volumes of all the target articles is not larger than the total available storage space of the warehouse, so that the order splitting indexes of all the articles can be calculated dynamically under the condition that the stock storage capacity of the warehouse is fully utilized, commodities are selected according to the order splitting indexes, simplicity and high efficiency are achieved, and the order splitting condition is reduced as much as possible.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives can occur depending upon design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (12)
1. A warehouse selection method, comprising:
determining a split index for each selectable item; wherein the drape index of the selectable item is determined according to the following formula (1):
wherein s represents an optional item, c s A split index representing selectable item S, |O| represents the number of orders, |S o I indicates the item category number of the order, |s o S| represents the number of item categories in the order after optional item s is removed;
sequentially judging whether the selectable articles are target articles which can be stored in a warehouse according to the sequence of the order splitting indexes from small to large; wherein the sum of the inventory volumes of all target items is not greater than the total available storage space of the warehouse.
2. The method according to claim 1, wherein the method further comprises:
determining orders related to the selectable items within a preset time period to generate an order set;
determining the number of orders in the order set and the number of item categories of each order;
a split index for each selectable item is determined based on the number of orders and the item category number for each order.
3. The method of claim 1, wherein sequentially determining whether the selectable items are target items that can be stored in the warehouse in order of decreasing order of the split index comprises:
the following steps A-E are repeated to determine whether the selectable item is a target item that can be stored in the warehouse:
step A: judging whether the sum of the inventory volumes of the optional articles with the smallest separation index and the determined target articles is not larger than the total available storage space of the warehouse;
and (B) step (B): if yes, determining the selectable item with the smallest splitting index as a target item;
step C: for each order containing the selectable item with the smallest split index, deleting the selectable item from the order to update the item category number of the order;
step D: deleting orders with the item category number of zero to update the number of the orders;
step E: a split index for the remaining selectable items is determined based on the updated number of orders and the item category number for each order.
4. The method according to claim 1, wherein the method further comprises:
the inventory volume of the selectable item is determined based on the volume of the selectable item, the daily average sales and the turnaround days.
5. The method of claim 4, wherein the inventory volume of the selectable item is determined according to the following formula (2):
V s ＝q s ·t·v s (2)
wherein V is s Representing inventory volume, q, of selectable item s s Representing the average daily sales of the selectable item s, t representing the turnover number of days of the selectable item s, v s Representing the volume of the selectable item s.
6. A warehouse selection device, comprising:
the sheet removal index determining module is used for determining the sheet removal index of each selectable article; wherein the order splitting index determination module determines the order splitting index of the selectable item according to the following formula (1):
wherein s represents an optional item, c s A split index representing selectable item S, |O| represents the number of orders, |S o I represents an orderItem category number of S o S| represents the number of item categories in the order after optional item s is removed;
the target article judging module is used for sequentially judging whether the selectable articles are target articles which can be stored in the warehouse according to the order of the order splitting indexes from small to large; wherein the sum of the inventory volumes of all target items is not greater than the total available storage space of the warehouse.
7. The apparatus of claim 6, wherein the split index determination module is further configured to:
determining orders related to the selectable items within a preset time period to generate an order set;
determining the number of orders in the order set and the number of item categories of each order;
a split index for each selectable item is determined based on the number of orders and the item category number for each order.
8. The apparatus of claim 6, wherein the target item determination module is further configured to:
the following steps A-E are repeated to determine whether the selectable item is a target item that can be stored in the warehouse:
step A: judging whether the sum of the inventory volumes of the optional articles with the smallest separation index and the determined target articles is not larger than the total available storage space of the warehouse;
and (B) step (B): if yes, determining the selectable item with the smallest splitting index as a target item;
step C: for each order containing the selectable item with the smallest split index, deleting the selectable item from the order to update the item category number of the order;
step D: deleting orders with the item category number of zero to update the number of the orders;
step E: a split index for the remaining selectable items is determined based on the updated number of orders and the item category number for each order.
9. The apparatus of claim 6, further comprising an inventory volume determination module for determining an inventory volume of the selectable item based on the volume of the selectable item, the average daily sales volume, and the days of turnover.
10. The apparatus of claim 9, wherein the inventory volume determination module determines the inventory volume of the selectable item according to the following equation (2):
V s ＝q s ·t·v s (2)
wherein V is s Representing inventory volume, q, of selectable item s s Representing the average daily sales of the selectable item s, t representing the turnover number of days of the selectable item s, v s Representing the volume of the selectable item s.
11. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs,
when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-5.
12. A computer readable medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810896520.3A CN110826948B (en) | 2018-08-08 | 2018-08-08 | Warehouse selecting method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810896520.3A CN110826948B (en) | 2018-08-08 | 2018-08-08 | Warehouse selecting method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110826948A CN110826948A (en) | 2020-02-21 |
| CN110826948B true CN110826948B (en) | 2023-11-03 |
Family
ID=69540672
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810896520.3A Active CN110826948B (en) | 2018-08-08 | 2018-08-08 | Warehouse selecting method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110826948B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113762822B (en) * | 2020-06-30 | 2023-09-26 | 北京京东振世信息技术有限公司 | Method and device for processing order |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104574013A (en) * | 2014-12-22 | 2015-04-29 | 北京京东尚科信息技术有限公司 | Method and device for determining warehouse storage distribution |
| CN106803158A (en) * | 2015-11-26 | 2017-06-06 | 阿里巴巴集团控股有限公司 | The processing method of storage data, device and system in products storage circulation system |
| CN106886874A (en) * | 2017-01-24 | 2017-06-23 | 武汉奇米网络科技有限公司 | A kind of order splits delivery system and splits delivery method |
| CN107230035A (en) * | 2017-06-29 | 2017-10-03 | 北京京东尚科信息技术有限公司 | Information-pushing method and device |
| CN108053163A (en) * | 2017-12-28 | 2018-05-18 | 创新无限信息技术（武汉）股份有限公司 | Overseas order merges and overweight singulated method and system |
| CN108090717A (en) * | 2017-11-14 | 2018-05-29 | 上海伯俊软件科技有限公司 | A kind of cloud storehouse distribute leaflets method for the retail of full channel |
-
2018
- 2018-08-08 CN CN201810896520.3A patent/CN110826948B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104574013A (en) * | 2014-12-22 | 2015-04-29 | 北京京东尚科信息技术有限公司 | Method and device for determining warehouse storage distribution |
| CN106803158A (en) * | 2015-11-26 | 2017-06-06 | 阿里巴巴集团控股有限公司 | The processing method of storage data, device and system in products storage circulation system |
| CN106886874A (en) * | 2017-01-24 | 2017-06-23 | 武汉奇米网络科技有限公司 | A kind of order splits delivery system and splits delivery method |
| CN107230035A (en) * | 2017-06-29 | 2017-10-03 | 北京京东尚科信息技术有限公司 | Information-pushing method and device |
| CN108090717A (en) * | 2017-11-14 | 2018-05-29 | 上海伯俊软件科技有限公司 | A kind of cloud storehouse distribute leaflets method for the retail of full channel |
| CN108053163A (en) * | 2017-12-28 | 2018-05-18 | 创新无限信息技术（武汉）股份有限公司 | Overseas order merges and overweight singulated method and system |
Non-Patent Citations (2)
| Title |
|---|
| Hyeyoen Kim.Which trader's order-splitting strategy is effective? The case of an index options market.《Applied Economics Letters》.2012,第19卷(第17期),1683-1692页. * |
| 张源凯 等.网上超市订单分配与物流配送联合优化方法.《系统工程学报》.2015,251-258页. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110826948A (en) | 2020-02-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110348771B (en) | Method and device for order grouping of orders | |
| CN112884405A (en) | Inquiry system and scheduling method thereof | |
| CN113095893A (en) | Method and device for determining sales of articles | |
| CN110738436A (en) | method and device for determining available stock | |
| CN108985805B (en) | Method and device for selectively executing push task | |
| CN110826948B (en) | Warehouse selecting method and device | |
| CN112784212B (en) | Inventory optimization method and device | |
| CN113780915A (en) | Service docking method and device | |
| CN111612385B (en) | Method and device for clustering articles to be distributed | |
| CN109255563B (en) | Method and device for determining storage area of article | |
| CN112785213B (en) | Warehouse manifest picking construction method and device | |
| CN113379173B (en) | Method and device for marking warehouse goods with labels | |
| CN114677174A (en) | Method and device for calculating sales volume of unladen articles | |
| CN113538080A (en) | Task list splitting method and device | |
| CN109902847B (en) | Method and device for predicting amount of orders in branch warehouse | |
| CN110378714B (en) | Method and device for processing access data | |
| CN113191703A (en) | Method and device for allocating storage positions | |
| CN109961304B (en) | Method and apparatus for generating information | |
| CN113762863A (en) | Inventory management method and device | |
| CN113222680A (en) | Method and device for generating order | |
| CN112926907A (en) | Warehouse inventory layout method and device | |
| CN112784861A (en) | Similarity determination method and device, electronic equipment and storage medium | |
| CN112053106A (en) | Method and device for managing delivery of articles | |
| CN112734314B (en) | Method and device for determining selection set | |
| CN111861293A (en) | Method and apparatus for transmitting information |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200601 Address after: Room A1905, 19th floor, No. 2 Building, 18 Kechuang 11th Street, Beijing Daxing District, Beijing Applicant after: Beijing Jingdong Qianshi Technology Co.,Ltd. Address before: 300 457 days Tianjin Binhai New Area, Tianjin Economic and Technological Development Zone, No. 10 Fourth Avenue, Phase 2, First Floor Applicant before: Tianjin Jingdong Shentuo Robot Technology Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |