CN114626779A - Warehouse information processing method and device, electronic equipment and computer readable medium - Google Patents

Warehouse information processing method and device, electronic equipment and computer readable medium Download PDF

Info

Publication number
CN114626779A
CN114626779A CN202210142987.5A CN202210142987A CN114626779A CN 114626779 A CN114626779 A CN 114626779A CN 202210142987 A CN202210142987 A CN 202210142987A CN 114626779 A CN114626779 A CN 114626779A
Authority
CN
China
Prior art keywords
value
warehouse
information set
expenditure
parameter information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210142987.5A
Other languages
Chinese (zh)
Inventor
丁方玉
程双
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Pinjie Network Technology Co Ltd
Original Assignee
Hangzhou Pinjie Network Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hangzhou Pinjie Network Technology Co Ltd filed Critical Hangzhou Pinjie Network Technology Co Ltd
Priority to CN202210142987.5A priority Critical patent/CN114626779A/en
Publication of CN114626779A publication Critical patent/CN114626779A/en
Pending legal-status Critical Current

Links

Images

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
    • 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

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the disclosure discloses a warehouse information processing method and device, electronic equipment and a computer readable medium. One embodiment of the method comprises: the method comprises the steps of obtaining a city parameter information set and a vehicle parameter information set corresponding to a target warehouse, and obtaining an article circulation information set, a loading information set and a feedback information set corresponding to the target warehouse within a preset time period; generating a warehouse value acquisition value; generating a route value expenditure value; generating a warehouse value expenditure value; generating a new value added expenditure value; determining the sum of the distance value expenditure value, the warehouse value expenditure value and the newly added value expenditure value as a total expenditure value of a corresponding target warehouse, and determining the difference between the warehouse value acquisition value and the total expenditure value as a total acquisition value attribute value; and sending the total acquired value attribute value to a target display terminal for displaying by the target display terminal. This embodiment avoids backlogs of items in the warehouse.

Description

Warehouse information processing method and device, electronic equipment and computer readable medium
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a warehouse information processing method, a warehouse information processing device, electronic equipment and a computer readable medium.
Background
With the continuous development of the logistics industry, how to accurately determine the total acquisition value attribute value (total profit) of the warehouse becomes an important research topic. Currently, when determining a total acquired value attribute value of a warehouse, the method generally adopts: the total acquired value attribute value of the warehouse is obtained by determining each item of acquired value attribute value (income) and expenditure value of the warehouse by staff.
However, when the total acquired value attribute value and the expenditure value of the warehouse are determined in the above manner, there are often the following technical problems:
firstly, when determining the total acquired value attribute value of the warehouse, the staff is easy to omit the consumption generated in the article transportation process, so that the total acquired value attribute value of the warehouse is larger than the actual total acquired value attribute value, and further, the articles are easily supplemented, and the overstock of the articles in the warehouse is caused;
secondly, the obtained value attribute values corresponding to the article circulation information received during the period of determining the total obtained value attribute value of the warehouse cannot be summarized and determined, so that the total obtained value attribute value of the warehouse is inconsistent with the actual total obtained value attribute value, and further more or less article replenishment is easily caused, and the overstock of articles in the warehouse or the shortage of the number of articles is caused;
thirdly, when the staff determine each item of the warehouse to obtain the value attribute value (income) and the expenditure value, the goods with less warehouse storage amount cannot be supplemented in time, so that the quantity of the goods in the warehouse is insufficient;
fourthly, when determining the value of the new value, the consumption generated during the transportation of the goods is easy to be omitted, which leads to the small value of the new value, and further leads to the large value of the total acquired value attribute, and leads to the overstock of the goods in the warehouse.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose a warehouse information processing method, apparatus, electronic device, and computer readable medium to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a method for processing warehouse information, where the method includes: responding to the fact that the current time is preset processing time, acquiring a city parameter information set and a vehicle parameter information set corresponding to a target warehouse, and acquiring an article circulation information set, a loading information set and a feedback information set corresponding to the target warehouse within a preset time period; generating a warehouse value acquisition value based on the article circulation information set; generating a distance value expenditure value based on the city parameter information set, the loading information set and the vehicle parameter information set; generating a warehouse value expenditure value based on the article circulation information set; generating a new value expenditure value based on the feedback information set; determining the sum of the distance value expenditure value, the warehouse value expenditure value and the newly added value expenditure value as a total expenditure value corresponding to the target warehouse, and determining the difference between the warehouse value acquisition value and the total expenditure value as a total acquisition value attribute value; and sending the total acquisition value attribute value to a target display terminal for displaying by the target display terminal.
In a second aspect, some embodiments of the present disclosure provide a repository information processing apparatus, the apparatus including: the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is configured to respond to the fact that the current time is preset processing time, acquire a city parameter information set and a vehicle parameter information set corresponding to a target warehouse, and acquire an article circulation information set, a loading information set and a feedback information set corresponding to the target warehouse within a preset time period; a first generating unit configured to generate a warehouse value acquisition value based on the item flow information set; a second generation unit configured to generate a distance value payout value based on the city parameter information set, the loading information set, and the vehicle parameter information set; a third generating unit configured to generate a warehouse value expenditure value based on the item flow information set; a fourth generating unit configured to generate a new added value payout value based on the feedback information set; a determining unit configured to determine a sum of the trip value payout value, the warehouse value payout value, and the new value payout value as a total payout value corresponding to the target warehouse, and determine a difference between the warehouse value acquisition value and the total payout value as a total acquisition value attribute value; and the sending unit is configured to send the total acquired value attribute value to a target display terminal for displaying by the target display terminal.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device, on which one or more programs are stored, which when executed by one or more processors cause the one or more processors to implement the method described in any implementation of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following beneficial effects: by the warehouse information processing method of some embodiments of the present disclosure, overstocking of articles in the warehouse is avoided. In particular, the reasons for backlogs of items in the warehouse are: when the staff determines the total acquisition value attribute value of the warehouse, consumption generated in the process of transporting the goods is easy to omit, so that the total acquisition value attribute value of the warehouse is larger than the actual total acquisition value attribute value, and then goods are easily supplemented, and goods overstock in the warehouse is caused. Based on this, in the warehouse information processing method according to some embodiments of the present disclosure, first, in response to that the current time is a preset processing time, the city parameter information set and the vehicle parameter information set corresponding to the target warehouse are obtained, and the article circulation information set, the loading information set, and the feedback information set corresponding to the target warehouse within a preset time period are obtained. Therefore, data support is provided for obtaining the warehouse value acquisition value, the route value expenditure value, the warehouse value expenditure value and the newly added value expenditure value. Secondly, generating a warehouse value acquisition value based on the article circulation information set; generating a distance value expenditure value based on the city parameter information set, the loading information set and the vehicle parameter information set; generating a warehouse value expenditure value based on the article circulation information set; and generating a new value expenditure value based on the feedback information set. Therefore, the value obtained from the warehouse and each expenditure value are determined, the phenomenon that the staff neglects consumption generated in the article transportation process when determining the total value attribute value of the warehouse is avoided, and the accurate total value attribute value is generated conveniently in the follow-up process. And then, determining the sum of the journey value expenditure value, the warehouse value expenditure value and the newly added value expenditure value as a total expenditure value corresponding to the target warehouse, and determining the difference between the warehouse value acquisition value and the total expenditure value as a total acquisition value attribute value. Thus, the total acquired value attribute value (total profit) of the target warehouse can be determined and displayed. The total acquired value attribute value of the warehouse is obtained, all the acquired value attribute values and expenditure values in the warehouse are considered, the consistency of the total acquired value attribute value of the warehouse and the actual total acquired value attribute value is guaranteed, when goods in the target warehouse are replenished, the accurate replenishment quantity of the goods can be determined according to the total acquired value attribute value, and the overstock of the goods in the warehouse is avoided. And finally, sending the total acquired value attribute value to a target display terminal for displaying by the target display terminal. Therefore, the total acquired value attribute value of the warehouse is accurately determined, the consistency of the total acquired value attribute value of the warehouse and the actual total acquired value attribute value is ensured, and the overstock of articles in the warehouse is avoided.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
Fig. 1 is a schematic diagram of an application scenario of a warehouse information processing method of some embodiments of the present disclosure;
fig. 2 is a flow diagram of some embodiments of a warehouse information processing method according to the present disclosure;
fig. 3 is a schematic block diagram of some embodiments of a warehouse information processing apparatus according to the present disclosure;
FIG. 4 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a" or "an" in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will appreciate that references to "one or more" are intended to be exemplary and not limiting unless the context clearly indicates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of an application scenario of the warehouse information processing method according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, in response to that the current time is a preset processing time, the computing device 101 may obtain a city parameter information set and a vehicle parameter information set corresponding to a target warehouse, and obtain an article circulation information set, a loading information set and a feedback information set corresponding to the target warehouse within a preset time period. Second, the computing device 101 may generate a warehouse value acquisition value 102 based on the item flow information set. Computing device 101 may then generate a range value payout value 103 based on the city parameter information set, the loading information set, and the vehicle parameter information set. The computing device 101 may then generate a warehouse value payout value 104 based on the item flow information set described above. Then, the computing device 101 may generate a new value payout value 105 based on the set of feedback information. Then, the computing device 101 may determine the sum of the trip value payout 103, the warehouse value payout 104, and the new added value payout 105 as a total payout 106 corresponding to the target warehouse, and determine the difference between the warehouse value acquisition value 102 and the total payout 106 as a total acquisition value attribute value 107. Finally, the computing device 101 may send the total obtained value attribute value 107 to the target display terminal 108 for display by the target display terminal 108.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to fig. 2, a flow 200 of some embodiments of a warehouse information processing method in accordance with the present disclosure is shown. The warehouse information processing method comprises the following steps:
step 201, in response to that the current time is the preset processing time, acquiring the city parameter information set and the vehicle parameter information set corresponding to the target warehouse, and acquiring the article circulation information set, the loading information set and the feedback information set corresponding to the target warehouse within the preset time period.
In some embodiments, an executing entity (e.g., the computing device 101 shown in fig. 1) of the warehouse information processing method may, in response to that the current time is a preset processing time, obtain, by means of a wired connection or a wireless connection, a city parameter information set and a vehicle parameter information set corresponding to a target warehouse from a target database, and obtain, from a target terminal, an item circulation information set, a loading information set and a feedback information set corresponding to the target warehouse within a preset time period. The preset processing time may be a preset time point. The preset time period may be a preset time period before the preset processing time. The target database may be a database storing city parameter information sets and vehicle parameter information sets. The target terminal may be a terminal storing an article circulation information set, a loading information set, and a feedback information set. The target repository may be a repository for which a total acquired value attribute value needs to be determined. The city parameter information in the city parameter information set refers to parameter information for transporting goods from a target warehouse to a certain city. The city parameter information may include a warehouse name, a transportation distance, and a unit transportation value attribute value. The transportation distance may be a distance from the target warehouse to the warehouse corresponding to the city parameter information. The above-mentioned value of the value attribute for unit transportation may be a value attribute value (price) for a unit distance to a certain city from the target warehouse. For example, the unit transportation value attribute value may be 50 yuan/km. The vehicle parameter information in the vehicle parameter information set refers to parameter information for transporting goods in a certain vehicle type. The vehicle parameter information may include a vehicle type, a value attribute value per unit volume, a fixed transportation distance, and a fixed value attribute value. The vehicle model may be a model of a vehicle transporting the article. For example, the vehicle type may be: a model, B model and C model. The value attribute value per unit volume may be a value attribute value per unit volume (price) using a certain vehicle type. For example, the value of the value attribute per unit volume may be 100 yen/cubic meter. The fixed value attribute value may be a lowest value attribute value (lowest price) for transporting the item using a certain vehicle type. For example, the fixed value attribute value may be 1000 dollars for a value attribute value corresponding to a 10 kilometer shipment of items. The fixed transportation distance may be a distance corresponding to a fixed value attribute value of a certain vehicle type. For example, the fixed transport distance may be 10 km. The article circulation information in the article circulation information set may refer to circulation information of a certain article in a preset time period. The circulation information includes but is not limited to: the system comprises an article name, historical traffic, warehouse traffic, an article net value attribute value, an article value attribute difference value, a warehouse base value attribute value, a target traffic and a target storage amount. The historical turnover may be the number of previously stored items that were acquired (purchased) over a historical period of time. The above history period may be a period before a preset period. The duration of the historical time period is equal to the duration of the preset time period. The warehouse throughput may be the number of items acquired (purchased) within a preset time period. The net worth attribute value may be a difference between a pre-stored value attribute value (price) of the item and a base value attribute value (cost). The above-mentioned item value attribute difference may be a difference between a threshold value corresponding to a net value attribute value of an item of a pre-stored item and the net value attribute value of the item. The warehouse base value attribute value may be a total value attribute value (price) corresponding to a warehouse area used by the item. For example, the area of the warehouse used by the item is 40 square meters, the value attribute value per square meter is 10 yuan/square meter, and the value of the warehouse base value attribute may be 400 yuan. The target amount of circulation may be a preset number of items acquired (purchased) within a preset time period. The target storage amount may be a preset maximum storage amount of the article. The loading information in the loading information set may be transportation information of a certain transportation item. The transportation information may include, but is not limited to: loading vehicle type, loading warehouse name and loading volume. The loading vehicle type may be a type of vehicle used for transporting the article. The above-mentioned loading warehouse name may be a name of a warehouse to which the article is required to be transported. The loading volume may be the volume of a vehicle occupied by the transported item. The feedback information in the feedback information set may be inventory information of a certain kind of goods in the warehouse. The inventory finishing information may include, but is not limited to: storage quantity, machine efficiency value, conveying efficiency value, single conveying expenditure value and single machine expenditure value. The storage capacity may be the number of items stored in the warehouse. The machine efficiency values may characterize the transport efficiency of an individual transport machine per unit time. For example, the machine efficiency value may be 700 bins per day. The conveying efficiency value may be a conveying efficiency per unit time of a single conveying machine. For example, the transport efficiency value may be 500/day. The above-mentioned individual handling payout value may be a basic value attribute value (cost) of the individual handling machine. For example, the single handling payout value may be 1000 dollars/piece. The single machine payout value may be a base attribute value (cost) of the single transport machine. For example, the single machine payout value may be 1200 dollars/piece.
Step 202, generating a warehouse value acquisition value based on the article circulation information set.
In some embodiments, the execution subject may generate a warehouse value acquisition value based on the item flow information set.
In practice, the execution subject may generate a warehouse value acquisition value by:
the first step, for each article circulation information in the article circulation information set, executing the following processing steps:
a first substep of determining a difference between the warehouse traffic included in the item traffic information and the historical traffic included in the item traffic information as an item traffic difference.
As an example, the article circulation information may be:
{ article name: apple, historical turnover: 1000, warehouse traffic: 1200, net worth property value of item: and 3, difference value of article value attribute: 2, warehousing base value attribute value: 500, target amount of flow: 1500}.
The execution body may determine a difference '200' between the warehouse circulation amount '1200' included in the article circulation information and the historical circulation amount '1000' included in the article circulation information as an article circulation difference.
And a second substep of determining a product of the item circulation difference value and the item net worth attribute value included in the item circulation information as a first circulation value attribute value.
As an example, the execution body may determine a product '600' of the item circulation difference value '200' and the item net worth attribute value '3' included in the item circulation information as a first circulation value attribute value.
A third substep of determining a product '2400' of the value attribute difference '2' included in the item circulation information and the warehouse circulation amount '1200' as a second circulation value attribute value.
As an example, the execution subject may determine a product of the item value attribute difference included in the item circulation information and the warehouse circulation amount as a second circulation value attribute value.
And a fourth substep of determining the sum of the first turnover value attribute value and the second value attribute value as a sub-warehouse value acquisition value.
As an example, the execution body may determine a sum '3000' of the first liquidity attribute '600' and the second valence attribute '2400' as a sub-warehouse value acquisition value.
And secondly, determining the sum of the determined values of the sub-warehouses as a warehouse value obtaining value.
And step 203, generating a distance value expenditure value based on the city parameter information set, the loading information set and the vehicle parameter information set.
In some embodiments, the execution subject may generate a journey value payout value based on the city parameter information set, the loading information set, and the vehicle parameter information set.
In practice, the execution subject may generate the route value payout value by:
the first step, for each loading information in the loading information set, executing the following processing steps:
a first substep of selecting vehicle parameter information including a vehicle type identical to a loaded vehicle type included in the loading information from the vehicle parameter information set.
As an example, the city parameter information set may be:
{ warehouse name: warehouse a city, transportation distance: 50 km, unit transportation value attribute value: 100/km };
{ warehouse name: warehouse of a city b, transportation distance: 70 km, unit transportation value attribute value: 100/km };
{ warehouse name: warehouse of B city, transportation distance: 50 km, unit transportation value attribute value: 90/km }.
The vehicle parameter information set may be:
{ vehicle type: type a, value attribute value per unit volume: fixed transport distance 10: 30 km, fixed value attribute value: 2000 };
{ vehicle type: type B, value attribute value per unit volume: 12, fixed transport distance: 40 km, fixed value attribute value: 3000 };
{ vehicle type: type C, value attribute value per unit volume: 13, fixed transport distance: 50 km, fixed value attribute value: 4000}.
The loading information set may be:
{ loaded vehicle type: type C, loading warehouse name: warehouse a, loading volume: 50 };
{ loaded vehicle type: type a, loading warehouse name: warehouse B, loading volume: 70}.
The execution subject may select a vehicle type included in the vehicle parameter information set and the loading information { loaded vehicle type: type C, loading warehouse name: warehouse a, loading volume: 50} the same vehicle parameter information including the loaded model 'C model' { model: type C, value attribute value per unit volume: 13, fixed transport distance: 50 km, fixed value attribute value: 4000}.
A second substep of determining a product of the loading volume included in the loading information and the value attribute value per unit volume included in the vehicle parameter information as a value of the volume value attribute.
As an example, the executing body may determine a product '650' of the loading volume '50' included in the loading information and the unit volume value attribute value '13' included in the vehicle parameter information as a volume value attribute value.
And a third substep of selecting city parameter information from the city parameter information set, wherein the city parameter information comprises a warehouse name identical to a loading warehouse name comprised in the loading information.
As an example, the execution subject may select, from the city parameter information set, city parameter information { warehouse name: warehouse a of city A, transportation distance: 50 km, unit transportation value attribute value: 100/km }.
And a fourth substep of determining a fixed value attribute value included in the vehicle parameter information as a journey value attribute value in response to a travel distance included in the city parameter information being equal to or less than a fixed travel distance included in the vehicle parameter information.
As an example, the execution body may determine a fixed value attribute value '4000' included in the vehicle parameter information as a trip value attribute value in response to a transport distance '50 km' included in the city parameter information being equal to or less than a fixed transport distance '50 km' included in the vehicle parameter information.
A fifth substep of determining a difference between the transportation distance and the fixed transportation distance as a remaining distance and determining a product of the remaining distance and a unit transportation value attribute value included in the city parameter information as a route value attribute value in response to the transportation distance included in the city parameter information being greater than the fixed transportation distance included in the vehicle parameter information.
As an example, the loading information { loaded vehicle type: type a, loading warehouse name: warehouse B, loading volume: 70, the corresponding vehicle parameter information is { vehicle type: type a, value attribute value per unit volume: fixed transport distance 10: 30 km, fixed value attribute value: 2000}, and the corresponding city parameter information is { warehouse name: warehouse of B city, transportation distance: 50 km, unit transportation value attribute value: 90/km }, in response to a transport distance '50 km' included in the city parameter information being greater than a fixed transport distance '30 km' included in the vehicle parameter information, determining a difference '20 km' between the transport distance '50 km' and the fixed transport distance '30 km' as a remaining distance, and determining a product '1800' of the remaining distance '20 km' and a unit transport value attribute value '90/km' included in the city parameter information as a trip value attribute value.
A sixth substep of determining the sum of the above-mentioned distance value attribute value and the above-mentioned volume value attribute value as a loading value attribute value.
And a second step of determining the sum of the determined individual loading value attribute values as a journey value payout value.
And step 204, generating a warehouse value expenditure value based on the article circulation information set.
In some embodiments, the execution agent may generate a warehouse value expenditure value based on the item flow information set.
In practice, the execution agent may generate the warehouse value expenditure value by:
the first step, for each article circulation information in the article circulation information set, executing the following processing steps:
the first substep is to determine whether the warehouse traffic included in the item traffic information is smaller than the target traffic included in the item traffic information.
As an example, the executing body may determine whether a warehouse throughput '1200' included in the article circulation information is smaller than a target throughput '1500' included in the article circulation information.
A second substep of determining a difference between the target amount of warehouse traffic and the warehouse amount of traffic as an outstanding traffic value in response to determining that the warehouse amount of traffic is less than the target amount of traffic.
As an example, the execution body may determine a difference '300' between the target throughput and the warehouse throughput as an outstanding throughput value in response to determining that the warehouse throughput '1200' is less than the target throughput '1500'.
And a third substep of determining a ratio of the incomplete turnover value to the target turnover amount as a payout ratio, and determining a product of the payout ratio and a warehousing basic value attribute value included in the item turnover information as a sub-value payout value.
As an example, the execution body may determine a ratio '0.2' of the unfinished turnover value '300' to the target turnover amount '1500' as a payout ratio, and determine a product '100' of the payout ratio '0.2' and the warehouse base value attribute value '500' included in the article circulation information as a sub-value payout value.
And secondly, determining the sum of the determined sub-value expenditure values as a warehouse value expenditure value.
And step 205, generating a new value expenditure value based on the feedback information set.
In some embodiments, the execution subject may generate a new value payout value based on the feedback information set.
In practice, the execution subject may generate a new value added expense value by:
the first step, for each feedback information in the feedback information set, executing the following processing steps:
the first substep is to determine the ratio of the storage amount included in the feedback information to the conveying efficiency value as a storage conveying value, and determine the product of the storage conveying value and the single conveying expense value included in the feedback information as a conveying expense value.
And a second substep of determining a ratio of a warehousing quantity included in the feedback information to the machine efficiency value as a warehousing machine value, and determining a product of the warehousing machine value and a single machine payout value included in the feedback information as a machine payout value.
The third substep, determine the sum of the above-mentioned carrying expenditure value and the above-mentioned machine expenditure value as the newly added expenditure value.
Optionally, before the first substep, in response to determining that the warehousing quantity is smaller than a preset storage quantity included in the commodity circulation information, controlling the associated warehousing equipment to supplement the quantity of the commodities corresponding to the commodity circulation information to the preset storage quantity.
In some embodiments, the execution subject may control, in response to determining that the warehousing quantity is smaller than a preset storage quantity included in the article circulation information, an associated warehousing device to supplement the quantity of the articles corresponding to the article circulation information to the preset storage quantity through a wired connection or a wireless connection. First, the execution body may control the stocker to transport a target number of articles corresponding to the article circulation information from a pre-stored storage location corresponding to the articles. Secondly, the execution main body can control the warehousing equipment to place the target number of articles to the placing positions in the warehouse corresponding to the articles corresponding to the article circulation information. Wherein, the target number may be a difference between a preset storage amount and a storage amount. The preset storage amount may be the number of articles stored in advance. The warehousing equipment can be equipment with moving and carrying functions. For example, the storage device may be: and (4) warehousing the unmanned forklift.
Optionally, the related content is taken as an invention point of the present disclosure, and a technical problem mentioned in the background art is solved, namely, "when determining each item of the obtained value attribute value (income) and the expenditure value of the warehouse through the staff, the items with less storage amount cannot be supplemented in time, so that the quantity of the items in the warehouse is insufficient". The factors that contribute to the backlog of items or the insufficient quantity of items in the warehouse are often as follows: when the staff determines that the value attribute values (earnings) and the expenditure values of all items in the warehouse are obtained, the items with small warehouse storage amount cannot be supplemented in time, and the quantity of the items in the warehouse is insufficient. If the above-mentioned factors are solved, the effect of avoiding the shortage of the number of articles in the warehouse can be achieved. In order to achieve the effect, in response to determining that the storage amount is smaller than a preset storage amount included in the article circulation information, the warehousing device is controlled to supplement the quantity of the articles corresponding to the article circulation information to the preset storage amount. Therefore, the articles with less storage amount can be supplemented, and the shortage of the number of the articles in the warehouse is avoided.
And secondly, determining the sum of the determined sub newly added expenditure values as a newly added value expenditure value.
The related content in step 205 is an inventive point of the present disclosure, and solves the technical problem mentioned in the background art, that is, when determining a new added value expenditure value, consumption generated during article transportation is easily omitted, so that the added value expenditure value is smaller, and further the total obtained value attribute value is larger, so as to cause overstock of articles in the warehouse. The factors that contribute to the backlog of items or the insufficient quantity of items in the warehouse are often as follows: when the value of the added value is determined, consumption generated during article transportation is easily omitted, so that the value of the added value is smaller, the value attribute value of the total acquired value is larger, and article overstock in a warehouse is caused. If the above factors are solved, the effect of avoiding overstock of articles in the warehouse can be achieved. To achieve this effect, first, for each feedback information in the above feedback information set, the following processing steps are performed: first, the ratio of the storage amount included in the feedback information to the transport efficiency value is determined as a storage transport value, and the product of the storage transport value and the single transport expense value included in the feedback information is determined as a transport expense value. Therefore, the value attribute value consumed in the conveying process of the single type of articles in the preset time period can be determined. Then, the ratio of the storage amount included in the feedback information to the machine efficiency value is determined as a storage machine value, and the product of the storage machine value and the single machine payout value included in the feedback information is determined as a machine payout value. Thus, the value attribute value of the single type of article consumed in the transportation process within the preset time period can be determined. Then, the sum of the conveying expenditure value and the machine expenditure value is determined as a sub-new expenditure value. Therefore, the total value attribute value consumed in the process of carrying and transporting the single-type article in the preset time period is convenient to generate. And finally, determining the sum of the determined sub-new added expenditure values as a new added value expenditure value. Therefore, the total value attribute value consumed in the carrying and transporting processes of the transported different types of articles in the preset time period can be determined, so that the accurate total acquired value attribute value can be determined, and the problem that the replenishment quantity of the articles is large due to the large total acquired value attribute value when the replenishment quantity of the articles is determined according to the total acquired value attribute value is avoided. Thereby, the backlog of items in the warehouse is reduced.
Step 206, determining the sum of the distance value expenditure value, the warehouse value expenditure value and the newly added value expenditure value as the total expenditure value of the corresponding target warehouse, and determining the difference between the warehouse value acquisition value and the total expenditure value as the total acquisition value attribute value.
In some embodiments, the execution subject may determine a sum of the journey value payout value, the warehouse value payout value, and the new value payout value as a total payout value corresponding to the target warehouse, and determine a difference between the warehouse value acquisition value and the total payout value as a total acquisition value attribute value.
Optionally, in response to receiving at least one item circulation information sent by the distribution terminal, for each item circulation information received, a sub-warehouse value acquisition value is generated according to the item circulation information.
In some embodiments, the executing body may, in response to receiving at least one article circulation information sent by the distribution terminal, for each received article circulation information, first determine a difference between a warehouse circulation amount included in the article circulation information and a historical circulation amount included in the article circulation information as an article circulation difference. Then, the product of the article circulation difference value and the article net price attribute value included in the article circulation information is determined as a first circulation value attribute value. And then, determining the product of the article value attribute difference value included in the article circulation information and the warehouse circulation amount as a second circulation value attribute value. And finally, determining the sum of the first value attribute value and the second value attribute value as a sub-warehouse value acquisition value. The distribution terminal may be configured to receive new article circulation information and send the article circulation information to the execution main body.
Optionally, the generated sum of the values obtained from the sub-warehouses is determined as a value obtained from the warehouse to be updated, and the sum of the value obtained from the warehouse to be updated and the value obtained from the warehouse is determined as a value obtained from the warehouse to be updated.
In some embodiments, the executing entity may determine a sum of the generated values of the respective sub-warehouses as a value obtained from the warehouse to be updated, and determine a sum of the value obtained from the warehouse to be updated and the value obtained from the warehouse as the value obtained from the warehouse to be updated.
Optionally, a difference between the updated warehouse value acquisition value and the total expenditure value is determined as an updated total acquisition value attribute value.
In some embodiments, the execution subject may determine a difference between the updated warehouse value acquisition value and the total expenditure value as an updated total acquisition value attribute value.
Optionally, related content is taken as an invention point of the disclosure, and a second technical problem mentioned in the background art is solved, namely that "the obtained value attribute value corresponding to the article circulation information received during the period of determining the total obtained value attribute value of the warehouse cannot be summarized and determined, so that the total obtained value attribute value of the warehouse is inconsistent with the actual total obtained value attribute value, and further more or less article replenishment is easily caused, and article overstock or article quantity shortage in the warehouse is caused". The factors that contribute to the backlog of items or the insufficient quantity of items in the warehouse are often as follows: the acquisition value attribute values corresponding to the article circulation information received during the period of determining the total acquisition value attribute value of the warehouse cannot be summarized and determined, so that the total acquisition value attribute value of the warehouse is inconsistent with the actual total acquisition value attribute value, and then more or less article replenishment is easily caused, and the overstock of articles in the warehouse or the quantity of articles is insufficient. If the above factors are solved, the effect of avoiding overstock of articles or insufficient quantity of articles in the warehouse can be achieved. To achieve this effect, first, the present disclosure may generate a sub-warehouse value acquisition value according to at least one item circulation information sent by an allocation terminal, for each received item circulation information, in response to receiving the item circulation information. Therefore, the value attribute value of each received article circulation information can be determined in time. And then, determining the sum of the generated values of the sub-warehouses as the value obtained by the warehouse value to be updated, and determining the sum of the value obtained by the warehouse value to be updated and the value obtained by the warehouse value as the value obtained by updating the warehouse value. Thus, the actual acquired value attribute value of the target warehouse is convenient to determine, and data support is provided for determining the total acquired value attribute value. And finally, determining the difference value between the updated warehouse value acquisition value and the total expenditure value as an updated total acquisition value attribute value. Therefore, the total acquisition value attribute value of the received article circulation information is accurately determined. And the total acquired value attribute value of the received article circulation information is determined in time, so that the actual total acquired value attribute value of the target warehouse can be generated, the consistency between the total acquired value attribute value of the warehouse and the actual total acquired value attribute value is ensured, the articles in the warehouse are accurately replenished, and the overstock of the articles in the warehouse or the shortage of the number of the articles is avoided.
Optionally, in response to the total obtained value attribute value being less than the preset value attribute value, the associated vehicle is controlled to transport the remaining items in the warehouse to a predetermined warehouse.
In some embodiments, firstly, the execution main body may control the associated vehicle to travel to the target warehouse through a wired connection or a wireless connection in response to the total obtained value attribute value being smaller than a preset value attribute value, and secondly, the execution main body may control the associated warehousing equipment to transport the residual products in the target warehouse to the vehicle. Then, the execution body may control the vehicle to travel to a predetermined warehouse. Finally, the execution body can control the related carrying equipment to carry the articles in the vehicle to the placing positions of the articles corresponding to the preset warehouse. Wherein the predetermined warehouse may be a warehouse other than the target warehouse connected to the execution main body. And the preset total acquired value attribute value corresponding to the preset warehouse is greater than or equal to the preset value attribute value. The preset value attribute value may be a preset total acquired value attribute value (total profit). The vehicle may be a truck having a transportation function. For example, the vehicle may be an unmanned smart van. Because the articles in the warehouse with the lower total acquisition value attribute value are transported to the warehouse with the higher total acquisition value attribute value, the situation that the articles in the warehouse with the lower total acquisition value attribute value cannot be circulated (sold) can be avoided, and meanwhile, the articles in the warehouse with the higher total acquisition value attribute value are supplemented, so that article overstock is avoided.
The above embodiments of the present disclosure have the following beneficial effects: by the warehouse information processing method of some embodiments of the present disclosure, overstocking of articles in the warehouse is avoided. Specifically, the reasons for backlog of items in the warehouse are: when the staff determines the total acquisition value attribute value of the warehouse, consumption generated in the article transportation process is easy to omit, so that the total acquisition value attribute value of the warehouse is larger than the actual total acquisition value attribute value, and further, article replenishment is easy to cause, and article overstock in the warehouse is caused. Based on this, in the warehouse information processing method of some embodiments of the present disclosure, first, in response to that the current time is the preset processing time, the city parameter information set and the vehicle parameter information set corresponding to the target warehouse are obtained, and the article circulation information set, the loading information set, and the feedback information set corresponding to the target warehouse within the preset time period are obtained. Therefore, data support is provided for obtaining the warehouse value acquisition value, the route value expenditure value, the warehouse value expenditure value and the newly added value expenditure value. Secondly, generating a warehouse value acquisition value based on the article circulation information set; generating a distance value expenditure value based on the city parameter information set, the loading information set and the vehicle parameter information set; generating a warehouse value expenditure value based on the article circulation information set; and generating a new value expenditure value based on the feedback information set. Therefore, the value obtained from the warehouse and each expenditure value are determined, the phenomenon that the staff neglects consumption generated in the article transportation process when determining the total value attribute value of the warehouse is avoided, and the accurate total value attribute value is generated conveniently in the follow-up process. And then, determining the sum of the distance value expenditure value, the warehouse value expenditure value and the newly added value expenditure value as a total expenditure value corresponding to the target warehouse, and determining the difference between the warehouse value acquisition value and the total expenditure value as a total acquisition value attribute value. Thus, the total acquired value attribute value (total profit) of the target warehouse can be determined and displayed. The total acquired value attribute value of the warehouse is obtained, all the acquired value attribute values and expenditure values in the warehouse are considered, the consistency of the total acquired value attribute value of the warehouse and the actual total acquired value attribute value is guaranteed, and when goods in the target warehouse are replenished, the accurate replenishment quantity of the goods can be determined according to the total acquired value attribute value, so that the overstock of the goods in the warehouse is avoided. And finally, sending the total acquired value attribute value to a target display terminal for displaying by the target display terminal. Therefore, the total acquired value attribute value of the warehouse is accurately determined, the consistency of the total acquired value attribute value of the warehouse and the actual total acquired value attribute value is ensured, and the overstock of articles in the warehouse is avoided.
With further reference to fig. 3, as an implementation of the methods illustrated in the above figures, the present disclosure provides some embodiments of a repository information processing apparatus, which correspond to those method embodiments illustrated in fig. 2, and which may be applied in various electronic devices in particular.
As shown in fig. 3, the warehouse information processing apparatus 300 of some embodiments includes: an acquisition unit 301, a first generation unit 302, a second generation unit 303, a third generation unit 304, a fourth generation unit 305, a determination unit 306, and a transmission unit 307. Wherein the obtaining unit 301 is configured to obtain the city parameter information set and the vehicle parameter information set corresponding to the target warehouse in response to the current time being a preset processing time, and obtain the article circulation information set, the loading information set and the feedback information set corresponding to the target warehouse within a preset time period; the first generating unit 302 is configured to generate a warehouse value obtainment value based on the item flow information set; the second generating unit 303 is configured to generate a journey value payout value based on the city parameter information set, the loading information set, and the vehicle parameter information set; the third generating unit 304 is configured to generate a warehouse value expenditure value based on the item flow information set; the fourth generating unit 305 is configured to generate a new added value payout value based on the above-described feedback information set; the determining unit 306 is configured to determine a sum of the journey value expenditure value, the warehouse value expenditure value, and the new value expenditure value as a total expenditure value corresponding to the target warehouse, and determine a difference between the warehouse value acquisition value and the total expenditure value as a total acquisition value attribute value; the sending unit 307 is configured to send the total obtained value attribute value to a target display terminal for display by the target display terminal.
It will be understood that the units described in the apparatus 300 correspond to the various steps in the method described with reference to fig. 2. Thus, the operations, features and advantages described above with respect to the method are also applicable to the apparatus 300 and the units included therein, and are not described herein again.
Referring now to FIG. 4, shown is a block diagram of an electronic device (such as computing device 101 shown in FIG. 1)400 suitable for use in implementing some embodiments of the present disclosure. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 4, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 405 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 4 may represent one device or may represent multiple devices, as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some 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 illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 409, or from the storage device 408, or from the ROM 402. The computer program, when executed by the processing apparatus 401, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination 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 some embodiments of the disclosure, 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 some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may 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: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: and responding to the fact that the current time is preset processing time, acquiring a city parameter information set and a vehicle parameter information set corresponding to a target warehouse, and acquiring an article circulation information set, a loading information set and a feedback information set corresponding to the target warehouse within a preset time period. And generating a warehouse value acquisition value based on the article circulation information set. And generating a journey value expenditure value based on the city parameter information set, the loading information set and the vehicle parameter information set. And generating a warehouse value expenditure value based on the article circulation information set. And generating a new value expenditure value based on the feedback information set. And determining the sum of the distance value expenditure value, the warehouse value expenditure value and the newly added value expenditure value as a total expenditure value corresponding to the target warehouse, and determining the difference between the warehouse value acquisition value and the total expenditure value as a total acquisition value attribute value. And sending the total acquisition value attribute value to a target display terminal for displaying by the target display terminal.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart 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 disclosure. 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 and/or flowchart illustration, and combinations of blocks in the block diagrams and/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 units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, which may be described as: a processor includes an acquisition unit, a first generation unit, a second generation unit, a third generation unit, a fourth generation unit, a determination unit, and a transmission unit. Here, the names of these units do not constitute a limitation to the unit itself in some cases, and for example, the transmission unit may also be described as "a unit that transmits the above total acquired value attribute value to the target display terminal for display by the above target display terminal".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.

Claims (9)

1. A warehouse information processing method comprises the following steps:
responding to the fact that the current time is preset processing time, acquiring a city parameter information set and a vehicle parameter information set corresponding to a target warehouse, and acquiring an article circulation information set, a loading information set and a feedback information set corresponding to the target warehouse within a preset time period;
generating a warehouse value acquisition value based on the article circulation information set;
generating a distance value expenditure value based on the city parameter information set, the loading information set and the vehicle parameter information set;
generating a warehouse value expenditure value based on the item circulation information set;
generating a new value expenditure value based on the feedback information set;
determining the sum of the distance value expenditure value, the warehouse value expenditure value and the newly added value expenditure value as a total expenditure value corresponding to the target warehouse, and determining the difference between the warehouse value acquisition value and the total expenditure value as a total acquisition value attribute value;
and sending the total acquisition value attribute value to a target display terminal for displaying by the target display terminal.
2. The method of claim 1, wherein the item circulation information in the item circulation information set comprises: historical traffic, warehouse traffic, a net value attribute value of the article and a value attribute difference value of the article; and
generating a warehouse value acquisition value based on the article circulation information set comprises the following steps:
for each item circulation information in the item circulation information set, executing the following processing steps:
determining a difference value between the warehouse circulation amount included in the article circulation information and the historical circulation amount included in the article circulation information as an article circulation difference value;
determining the product of the article circulation difference value and the article net price attribute value included in the article circulation information as a first circulation value attribute value;
determining the product of the article value attribute difference value included in the article circulation information and the warehouse circulation amount as a second circulation value attribute value;
determining the sum of the first turnover value attribute value and the second value attribute value as a sub-warehouse value acquisition value;
and determining the sum of the determined values obtained by the sub-warehouses as the value obtained by the warehouse value.
3. The method of claim 1, wherein the city parameter information in the city parameter information set includes a warehouse name, a shipping distance, and a unit shipping value attribute value, the loading information in the loading information set includes a loading vehicle type, a loading warehouse name, and a loading volume, and the vehicle parameter information in the vehicle parameter information set includes a vehicle type, a unit volume value attribute value, a fixed shipping distance, and a fixed value attribute value; and
generating a distance value payout value based on the city parameter information set, the loading information set and the vehicle parameter information set, comprising:
for each piece of loading information in the set of loading information, performing the following processing steps:
selecting vehicle parameter information with the same vehicle type as the loading vehicle type included in the loading information from the vehicle parameter information set;
determining a product of a loading volume included in the loading information and a unit volume value attribute value included in the vehicle parameter information as a volume value attribute value;
selecting city parameter information which comprises a warehouse name identical to a loading warehouse name comprised by the loading information from the city parameter information set;
in response to the transport distance included in the city parameter information being greater than the fixed transport distance included in the vehicle parameter information, determining a difference between the transport distance and the fixed transport distance as a remaining distance, and determining a product of the remaining distance and a unit transport value attribute value included in the city parameter information as a journey value attribute value;
determining a sum of the route value attribute value and the volume value attribute value as a loading value attribute value;
and determining the sum of the determined values of the various loading value attributes as a journey value expenditure value.
4. The method of claim 3, wherein after said selecting city parameter information from said city parameter information set that includes a warehouse name that is the same as a load warehouse name included in said load information, said processing step further comprises:
and determining the fixed value attribute value included by the vehicle parameter information as a journey value attribute value in response to the transportation distance included by the city parameter information being less than or equal to the fixed transportation distance included by the vehicle parameter information.
5. The method of claim 2, wherein the item flow information in the item flow information set further includes a warehouse base value attribute value and a target flow amount; and
generating a warehouse value expenditure value based on the item circulation information set, comprising:
for each item circulation information in the item circulation information set, executing the following processing steps:
determining whether the warehouse traffic included in the article traffic information is smaller than the target traffic included in the article traffic information;
in response to determining that the warehouse throughput is less than the target throughput, determining a difference between the target throughput and the warehouse throughput as an outstanding throughput value;
determining a ratio of the unfinished diversion value to the target diversion amount as a payout ratio, and determining a product of the payout ratio and a warehousing basic value attribute value included in the article diversion information as a sub-value payout value;
determining a sum of the determined individual sub-value expenditure values as a warehouse value expenditure value.
6. The method of claim 1, wherein the method further comprises:
and controlling the associated vehicle to transport the remaining items in the warehouse to a predetermined warehouse in response to the total acquired value attribute value being less than a preset value attribute value, wherein the predetermined total acquired value attribute value corresponding to the predetermined warehouse is less than the preset value attribute value.
7. A warehouse information processing apparatus, comprising:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is configured to respond to the fact that the current time is preset processing time, acquire a city parameter information set and a vehicle parameter information set corresponding to a target warehouse, and acquire an article circulation information set, a loading information set and a feedback information set corresponding to the target warehouse within a preset time period;
a first generating unit configured to generate a warehouse value acquisition value based on the item flow information set;
a second generating unit configured to generate a trip value payout value based on the city parameter information set, the loading information set, and the vehicle parameter information set;
a third generating unit configured to generate a warehouse value expenditure value based on the item flow information set;
a fourth generating unit configured to generate a new added value payout value based on the feedback information set;
a determination unit configured to determine a sum of the trip value payout value, the warehouse value payout value, and the newly added value payout value as a total payout value corresponding to the target warehouse, and determine a difference between the warehouse value acquisition value and the total payout value as a total acquisition value attribute value;
a sending unit configured to send the total obtained value attribute value to a target display terminal for display by the target display terminal.
8. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-6.
9. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1 to 6.
CN202210142987.5A 2022-02-16 2022-02-16 Warehouse information processing method and device, electronic equipment and computer readable medium Pending CN114626779A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210142987.5A CN114626779A (en) 2022-02-16 2022-02-16 Warehouse information processing method and device, electronic equipment and computer readable medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210142987.5A CN114626779A (en) 2022-02-16 2022-02-16 Warehouse information processing method and device, electronic equipment and computer readable medium

Publications (1)

Publication Number Publication Date
CN114626779A true CN114626779A (en) 2022-06-14

Family

ID=81898344

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210142987.5A Pending CN114626779A (en) 2022-02-16 2022-02-16 Warehouse information processing method and device, electronic equipment and computer readable medium

Country Status (1)

Country Link
CN (1) CN114626779A (en)

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20070096566A (en) * 2006-03-27 2007-10-02 김용선 Multi item hunting game system
US20140172494A1 (en) * 2011-08-05 2014-06-19 Junko Hosoda Multi-base inventory deployment computation device
WO2018154722A1 (en) * 2017-02-24 2018-08-30 株式会社日立物流 Warehouse management system and warehouse management method
CN109460948A (en) * 2018-09-19 2019-03-12 贵州电网有限责任公司 Electric power enterprise goods and materials storage goods yard distribution method based on technology of Internet of things
CN110780671A (en) * 2019-10-30 2020-02-11 华南理工大学 Storage navigation intelligent vehicle scheduling method based on global vision
CN111932187A (en) * 2020-09-24 2020-11-13 北京每日优鲜电子商务有限公司 Inventory related information display method and device, electronic equipment and readable medium
CN111932189A (en) * 2020-09-27 2020-11-13 北京每日优鲜电子商务有限公司 Inventory related information display method, device, electronic equipment and computer medium
CN112001681A (en) * 2020-08-31 2020-11-27 杭州拼便宜网络科技有限公司 Warehouse management method, device, platform and computer readable storage medium
CN112184100A (en) * 2020-09-09 2021-01-05 北京每日优鲜电子商务有限公司 Article inventory monitoring method and device, electronic equipment and computer readable medium
CN113743804A (en) * 2021-09-08 2021-12-03 青岛每日菜场科技有限公司 Article transportation method, apparatus, device and computer readable medium

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20070096566A (en) * 2006-03-27 2007-10-02 김용선 Multi item hunting game system
US20140172494A1 (en) * 2011-08-05 2014-06-19 Junko Hosoda Multi-base inventory deployment computation device
WO2018154722A1 (en) * 2017-02-24 2018-08-30 株式会社日立物流 Warehouse management system and warehouse management method
CN109460948A (en) * 2018-09-19 2019-03-12 贵州电网有限责任公司 Electric power enterprise goods and materials storage goods yard distribution method based on technology of Internet of things
CN110780671A (en) * 2019-10-30 2020-02-11 华南理工大学 Storage navigation intelligent vehicle scheduling method based on global vision
CN112001681A (en) * 2020-08-31 2020-11-27 杭州拼便宜网络科技有限公司 Warehouse management method, device, platform and computer readable storage medium
CN112184100A (en) * 2020-09-09 2021-01-05 北京每日优鲜电子商务有限公司 Article inventory monitoring method and device, electronic equipment and computer readable medium
CN111932187A (en) * 2020-09-24 2020-11-13 北京每日优鲜电子商务有限公司 Inventory related information display method and device, electronic equipment and readable medium
CN111932189A (en) * 2020-09-27 2020-11-13 北京每日优鲜电子商务有限公司 Inventory related information display method, device, electronic equipment and computer medium
CN113743804A (en) * 2021-09-08 2021-12-03 青岛每日菜场科技有限公司 Article transportation method, apparatus, device and computer readable medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
宋祁;张志华;邵松世;: "基于物流的维修器材仓储保障能力评价方法", 舰船电子工程, vol. 36, no. 09, 31 December 2016 (2016-12-31) *

Similar Documents

Publication Publication Date Title
CN111932189B (en) Inventory related information display method, device, electronic equipment and computer medium
CN108492068B (en) Method and device for path planning
CN112184100A (en) Article inventory monitoring method and device, electronic equipment and computer readable medium
CN111932161B (en) Vehicle scheduling method and device for articles, electronic equipment and computer medium
WO2022063300A1 (en) Allocation information generation method, item allocation method and apparatus, device and medium
CN113034090A (en) Transportation equipment scheduling method and device, electronic equipment and computer readable medium
CN114066363A (en) Order information processing method and device, electronic equipment and computer readable medium
CN114048931B (en) Replenishment information generation method and device, electronic equipment and computer readable medium
CN112734309B (en) Vehicle scheduling method, device, equipment and computer readable medium for article
CN112085442B (en) Device operation method, apparatus, electronic device, and computer-readable medium
CN113610460A (en) Article packaging method, apparatus, electronic device and computer readable medium
CN112308378A (en) Scheduling device control method, scheduling device control device, electronic device and computer readable medium
CN116562772A (en) Method, apparatus, device, medium and program product for generating article replenishment information
CN112862415B (en) Transportation vehicle scheduling method and device, electronic equipment and computer readable medium
CN116167515A (en) AGV distribution path planning method, device, equipment and medium
CN115271582A (en) Article scheduling method, device, electronic equipment and computer readable medium
CN114626779A (en) Warehouse information processing method and device, electronic equipment and computer readable medium
CN112085441A (en) Information generation method and device, electronic equipment and computer readable medium
CN111932191B (en) Shelf scheduling method and device, electronic equipment and computer readable medium
CN114663006A (en) Article transportation method, apparatus, electronic device and computer readable medium
CN111985967A (en) Article information generation method and device, electronic equipment and computer readable medium
CN115641059B (en) Method, device, electronic equipment, medium and program product for generating replenishment information
CN113762580B (en) Method and device for determining logistics park for merchant
CN111861293A (en) Method and apparatus for transmitting information
CN113256194B (en) Method and device for determining self-holding inventory of distribution center

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination