CN113034090B - Transportation equipment scheduling method and device, electronic equipment and computer readable medium - Google Patents
Transportation equipment scheduling method and device, electronic equipment and computer readable medium Download PDFInfo
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Abstract
The embodiment of the disclosure discloses a transportation equipment scheduling method, a transportation equipment scheduling device, electronic equipment and a computer readable medium. One embodiment of the method comprises: acquiring article circulation information of a target article in a preset historical time period, wherein the article circulation information comprises an article circulation quantity group and an article preset circulation quantity group, and the article circulation quantity in the article circulation quantity group corresponds to the article preset circulation quantity in the article preset circulation quantity group; generating a circulation mean value and an article circulation standard value based on the article circulation quantity group; generating an initial inventory of the articles based on the circulation mean value, the article circulation standard value, the article circulation quantity group and the article preset circulation quantity group; and controlling the associated transportation equipment to carry out equipment scheduling according to the initial inventory of the goods. The implementation mode can reasonably arrange the transportation equipment according to the initial inventory of the goods so as to facilitate the ordered transportation of the goods. Furthermore, the waste of transportation resources is reduced, and the energy loss is reduced.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a transportation equipment scheduling method, a transportation equipment scheduling device, electronic equipment and a computer readable medium.
Background
The fresh platform mostly adopts a mode of a front bin in order to ensure timeliness of article distribution. In order to reduce the overrun loss, ensure the freshness of the goods, improve the use efficiency of the funds and consider the margin system of the front warehouse, the turnover days of the goods in the front warehouse cannot be too high. Therefore, when the pre-warehouse platform has an initial inventory level in a setting period, the method generally adopted is as follows: and setting the initial inventory according to the historical average sales value in a past period of time so as to ensure the freshness of the articles.
However, the above method of setting the initial inventory level of the period generally has the following technical problems:
firstly, fluctuation conditions of the articles at different time are not considered, so that the set initial period should have inaccurate inventory, and therefore, the transportation equipment is repeatedly scheduled to meet delivery requirements, unreasonable transportation of the article transportation equipment is caused, and transportation resources are consumed;
secondly, the fluctuation conditions of the articles at different time are not considered, and the initial inventory setting is too high, so that the loss of part of the articles is high; if the initial inventory setting is low, the utilization rate of the front warehouse will be low.
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 transport device scheduling methods, apparatuses, electronic devices and computer readable media to address 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 transportation device scheduling method, including: acquiring article circulation information of a target article in a preset historical time period, wherein the article circulation information comprises an article circulation amount group and an article preset circulation amount group, and the article circulation amount in the article circulation amount group corresponds to the article preset circulation amount in the article preset circulation amount group; generating a circulation mean value and an article circulation standard value based on the article circulation quantity group; generating an initial inventory of the articles based on the circulation mean value, the article circulation standard value, the article circulation quantity group and the article preset circulation quantity group; and controlling the associated transportation equipment to carry out equipment dispatching according to the initial inventory of the goods.
In some embodiments, said generating an item futures inventory based on said preset flow mean, said flow difference mean, said flow mean, said item flow standard value, said first shipment rate coefficient, said set of flow difference values, said second shipment rate coefficient, said set of item flows, and said preset flow set of items, comprises:
the initial inventory at the commodity stage is generated by the following formula:
wherein the content of the first and second substances,
the initial inventory at the first stage is shown,
the mean value of the stream is represented,
representing the first cargo rate coefficient,
the standard value of the goods circulation is represented,
represents the pre-set flow mean value and the pre-set flow mean value,
represents the second cargo rate coefficient and,
a sequence number representing a streaming difference value in the set of streaming difference values,
representing the number of streaming difference values comprised by said set of streaming difference values,
represents the second of the set of slip differences
The value of the difference of the number of streams,
represents the mean value of the difference values of the streams,
a threshold value of the inventory is indicated,
a factorial operator is represented as a function of,
the initial stock at the second stage is shown,
the initial inventory of the article is shown,
indicating a rounding down operation.
In some embodiments, the generating a preset article transit amount based on the transit adjustment value, each historical article transit amount in the historical article transit amount group, the historical article estimated transit amount corresponding to the historical article transit amount, the historical article end inventory amount, and the historical article freshness duration includes:
generating the preset article flow through the following formula:
wherein the content of the first and second substances,
indicating a preset amount of flow of the article,
representing the estimated traffic of the historical item,
indicating the freshness keeping time of the historical item,
indicating an end-of-term inventory of the historical item,
representing the amount of said historical article runout,
represents the aboveThe value of the adjustment of the circulation is,
indicating a rounding down operation.
In a second aspect, some embodiments of the present disclosure provide a transportation device scheduling apparatus, the apparatus including: the system comprises an acquisition unit, a storage unit and a processing unit, wherein the acquisition unit is configured to acquire article circulation information of a target article in a preset historical time period, the article circulation information comprises an article circulation amount group and an article preset circulation amount group, and the article circulation amount in the article circulation amount group corresponds to the article preset circulation amount in the article preset circulation amount group; a first generation unit configured to generate a circulation mean value and an article circulation standard value based on the article circulation amount group; a second generation unit configured to generate an initial inventory amount of the article based on the circulation average value, the article circulation standard value, the article circulation amount group, and the preset circulation amount group; and the control unit is configured to control the associated transportation equipment to carry out equipment scheduling according to the initial inventory of the goods.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations 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 advantages: according to the transportation equipment scheduling method provided by some embodiments of the disclosure, the fluctuation conditions of the articles in different time periods are considered, the accuracy of the initial inventory of the set period is improved, the repeated scheduling of the transportation equipment for meeting the delivery demand is avoided, and the waste of transportation resources is reduced. In particular, the reason why the transportation resources are consumed is that: the fluctuation conditions of the goods at different time are not considered, so that the set initial period has inaccurate stock, the repeated dispatching of the transportation equipment is carried out to meet the distribution demand, the unreasonable transportation of the goods transportation equipment is caused, and the transportation resources are consumed. Based on this, the transportation device scheduling method of some embodiments of the present disclosure first obtains the article circulation information of the target article within a preset historical time period. Therefore, the fluctuation of the flow rate (sales volume) of the target object in the preset historical time period can be considered, and the accuracy of the initial inventory (object initial inventory) can be improved conveniently in the follow-up process. Then, based on the article circulation amount group, a circulation average value and an article circulation standard value are generated. Thus, data support is provided for reducing fluctuation of the turnover amount (sales amount) in the preset history period and improving the accuracy of the initial stock amount (initial stock amount of the article). And then, generating an initial inventory of the goods based on the circulation mean value, the goods circulation standard value, the goods circulation quantity group and the preset goods circulation quantity group. Therefore, the accuracy of the set initial inventory (initial inventory of articles) is improved, and the influence of fluctuation of the articles in different time periods is reduced. And finally, controlling the associated transportation equipment to carry out equipment scheduling according to the initial inventory of the articles. Therefore, repeated dispatching of the transportation equipment for meeting the distribution requirement is avoided. The transportation equipment can be reasonably arranged according to the initial stock of the articles, so that the ordered transportation of the articles is facilitated. Furthermore, the waste of transportation resources is reduced, and the energy loss is reduced.
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 one application scenario of a transportation device scheduling method according to some embodiments of the present disclosure;
fig. 2 is a flow diagram of some embodiments of a transportation device scheduling method according to the present disclosure;
FIG. 3 is a flow diagram of still further embodiments of a transportation device scheduling method according to the present disclosure;
fig. 4 is a schematic structural diagram of some embodiments of a transport equipment scheduling apparatus according to the present disclosure;
FIG. 5 is a schematic structural 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", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates 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 a transportation device scheduling method according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may obtain item circulation information 102 of the target item within a preset historical time period. The article circulation information 102 includes an article circulation amount group 1021 and an article preset circulation amount group 1022. The article flow in the article flow group 1021 corresponds to the article flow in the article preset flow group 1022. Next, the computing device 101 may generate a flow mean 103 and a flow criterion 104 based on the set of item flows 1021. Then, the computing device 101 may generate the initial inventory quantity 105 of items based on the average value 103 of the circulation, the standard value 104 of the circulation of items, the group 1021 of the circulation of items, and the group 1022 of preset circulation of items. Finally, the computing device 101 may control the associated transportation device 106 for device scheduling based on the initial inventory 105 of items.
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 transportation device scheduling method according to the present disclosure is shown. The method may be performed by the computing device 101 of fig. 1. The transportation equipment scheduling method comprises the following steps:
In some embodiments, an executing body of the transportation device scheduling method (e.g., the computing device 101 shown in fig. 1) may acquire the article circulation information of the target article in the preset historical time period from the terminal device through a wired connection manner or a wireless connection manner. The article circulation information comprises an article circulation amount group and an article preset circulation amount group. The article flow in the article flow group corresponds to the article preset flow in the article preset flow group. Here, the setting of the preset history period is not limited. For example, the preset historical time period may be 2021/5/1-2021/5/5. Here, the article turnover in the article turnover group may refer to the number of articles actually turned around (e.g., 2021/5/1, article a sells 25, i.e., article a has an article turnover of 25). Here, the preset article flow in the preset article flow group may refer to a preset number of articles flowing corresponding to the article flow (for example, 2021/5/1, it is estimated that 30 articles are sold by article a, that is, the preset article flow of article a is 30).
By way of example, 2021/5/1-2021/5/5, the item circulation information for bananas may be:
article runoff group: [25, 20, 30, 28, 22 ];
article preset flow quantity group: [30, 25, 30, 32, 28].
In some optional implementations of some embodiments, the preset set of article runouts may be generated by:
the method comprises the steps of firstly, obtaining historical article circulation information of the target article in a target historical time period. The historical article circulation information comprises a historical article circulation quantity group, a historical article estimation circulation quantity group, a historical article end inventory quantity group and a historical article circulation time length group. The historical article circulation amount in the historical article circulation amount group corresponds to the historical article estimated circulation amount in the historical article estimated circulation amount group, the historical article end inventory in the historical article end inventory group and the historical article circulation time in the historical article circulation time group. The duration of the target historical time period is equal to the duration of the preset historical time period.
In practice, the execution main body may acquire historical article circulation information of the target article in a target historical time period from the terminal device in a wired connection manner or a wireless connection manner. Here, the target history time period may refer to a time period before a preset history time period. For example, if the preset history time period is 2021/5/1-2021/5/5, the target history time period is 2021/4/26-2021/4/30. Here, the historical item end inventory amount in the historical item end inventory amount group may refer to the balance amount of the target item per day (remaining inventory amount per day). Here, the historical item circulation time length in the historical item circulation time length group may refer to a freshness keeping time length (shelf life time length) of the item.
And secondly, generating a circulation adjusting value based on the historical article circulation amount group and the historical article pre-estimation circulation amount group.
In practice, the above-mentioned second step may comprise the following sub-steps:
the first substep, carry on the normalization process to each historical article's flow in the above-mentioned historical article's flow group in order to turn into the flow of normalized article, get the flow group of normalized article.
And the second substep, normalizing each historical article estimated traffic in the historical article estimated traffic group to generate normalized article estimated traffic to obtain a normalized article estimated traffic group.
And a third substep, determining the difference value between each normalized article predicted flow quantity in the normalized article predicted flow quantity group and the normalized article flow quantity corresponding to the normalized article predicted flow quantity as a normalized flow difference value, and obtaining a normalized flow difference value group.
And a fourth substep of selecting the normalized flow difference value less than or equal to a preset threshold value from the normalized flow difference value set as a target normalized flow difference value to obtain a target normalized flow difference value set. Here, the setting of the preset threshold is not limited, and may be set according to actual requirements.
And a fifth substep, respectively determining the normalized article flow quantity and the normalized article pre-estimation flow quantity corresponding to each target normalized flow difference value in the target normalized flow difference value group as a target normalized article flow quantity and a target normalized article pre-estimation flow quantity, and obtaining a target normalized article flow quantity group and a target normalized article pre-estimation flow quantity group.
And a sixth substep of generating a circulation adjustment value based on the target normalized commodity circulation amount group and the target normalized commodity pre-estimation circulation amount group.
In practice, the sixth substep comprises the following two steps:
1. and determining the ratio of each target normalized article flow quantity in the target normalized article flow quantity group to the target normalized article estimated flow quantity corresponding to the target normalized article flow quantity as an adjusting value to obtain an adjusting value group.
2. And carrying out weighted average processing on each adjusting value in the adjusting value group to generate a circulation adjusting value. Here, the historical commodity circulation amount corresponding to each adjustment value in the adjustment value group may be set as a weight.
And thirdly, generating preset article traffic based on the traffic adjusting value, each historical article traffic in the historical article traffic group, the historical article estimated traffic corresponding to the historical article traffic, the historical article end inventory and the historical article traffic, and obtaining a preset article traffic group.
In practice, based on the circulation adjustment value, each historical article circulation amount in the historical article circulation amount group, the historical article estimated circulation amount corresponding to the historical article circulation amount, the historical article end inventory amount and the historical article circulation amount, the article preset circulation amount can be generated through the following formula:
wherein the content of the first and second substances,
indicating articlesSetting the flow rate.
Showing the estimated traffic of the historical goods.
And the historical goods circulation time length is shown.
Indicating the end-of-term inventory of the historical item.
Indicating the historical commodity circulation.
Indicating the above-mentioned flow adjustment value.
Indicating a rounding down operation.
In some embodiments, based on the set of article turnover numbers, the performing agent may generate a turnover mean value and an article turnover standard value by:
firstly, determining the average value of the article flow quantities in the article flow quantity group as a flow average value.
As an example, the group of article turnover numbers may be "[ 25, 20, 30, 28, 22 ]". The average value "25" of the individual article runout values in the article runout group "[ 25, 20, 30, 28, 22 ]" can be determined as the running average.
Secondly, generating an article circulation standard value through the following formula:
wherein the content of the first and second substances,
and expressing the standard value of the article circulation.
And a serial number indicating the article flow rate in the article flow rate group.
Indicating the number of article runout included in the article runout group.
Indicating the first of said groups of article runout
The flow rate of each article.
Representing the above-mentioned flow mean. Here, the value of the standard value of the article circulation can be reserved to two significant digits after the decimal point.
As an example, the group of article turnover numbers may be "[ 25, 20, 30, 28, 22 ]". The flow mean is "25". Generating an article circulation standard value through the following formula:
and 203, generating an initial inventory of the goods based on the circulation average value, the goods circulation standard value, the goods circulation quantity group and the preset goods circulation quantity group.
In some embodiments, based on the mean value of circulation, the standard value of circulation, the group of quantity of circulation, and the group of preset quantity of circulation, the executing entity may generate the initial quantity of circulation by:
firstly, determining a difference value between each preset article flow quantity in the preset article flow quantity group and the article flow quantity corresponding to the preset article flow quantity as a flow difference value, and obtaining a flow difference value group.
As an example, the preset group of article runout amounts may be "[ 30, 25, 30, 32, 28 ]". A difference value "5" between the preset article drift amount "30" and the article drift amount "25" corresponding to the above preset article drift amount "30" may be determined as a drift difference value. A difference value "5" between the preset article drift amount "25" and the article drift amount "20" corresponding to the above preset article drift amount "25" may be determined as a drift difference value. A difference value "0" between the preset article drift amount "30" and the article drift amount "30" corresponding to the above preset article drift amount "30" may be determined as a drift difference value. A difference value "4" between the preset article drift amount "32" and the article drift amount "28" corresponding to the above preset article drift amount "32" may be determined as a drift difference value. A difference value "6" between the preset article drift amount "28" and the article drift amount "22" corresponding to the above preset article drift amount "28" may be determined as a drift difference value. A set of slip differences "5, 5, 0, 4, 6" is obtained.
And secondly, determining the average value of each circulation difference value in the circulation difference value group as the circulation difference value average value.
As an example, an average value "4" of the respective flow difference values in the flow difference value group "5, 5, 0, 4, 6" may be determined as the flow difference value average value.
And thirdly, determining the average value of the preset article flow in the preset article flow group as a preset flow average value.
As an example, an average value "29" of the preset circulation amounts of the respective articles in the preset circulation amount group "[ 30, 25, 30, 32, 28 ]" may be determined as the preset circulation average value.
Fourthly, generating the initial stock of the article period by the following formula:
wherein the content of the first and second substances,
indicating the initial inventory of the item.
Representing the above-mentioned flow mean.
Representing a preset first cargo rate coefficient.
And the standard value of the article circulation is represented.
Representing the preset flow mean.
Representing a preset second availability factor.
The sequence number of the streaming difference value in the set of streaming difference values is shown.
Indicating the number of streaming difference values comprised by the set of streaming difference values.
Represents the second of the above-mentioned sets of slip differences
The individual flow difference values.
Representing the mean value of the above-mentioned flow difference values.
Indicating a rounding down operation.
As an example, stream mean
May be "25". The first cargo rate coefficient is preset to
Is "2". Standard value for article circulation
May be "3.68". Preset mean value of flow
May be "29". Presetting a second cargo rate coefficient
May be a "1". The initial inventory at the commodity stage is generated by the following formula:
and step 204, controlling the associated transportation equipment to carry out equipment scheduling according to the initial inventory of the goods.
In some embodiments, the execution agent may control a transportation device communicatively coupled to the execution agent to schedule a device (e.g., a vehicle or a handling robot) matching the initial inventory amount of the item for transportation of the item. For example, the associated transport device "001" may be controlled to deploy the handling robot "AA" to transport the item "banana".
The above embodiments of the present disclosure have the following advantages: according to the transportation equipment scheduling method provided by some embodiments of the disclosure, the fluctuation conditions of the articles at different times are considered, the accuracy of the initial inventory of the set period is improved, the repeated scheduling of the transportation equipment for meeting the delivery demand is avoided, and the waste of transportation resources is reduced. In particular, the reason why the transportation resources are consumed is that: the fluctuation conditions of the goods in different time periods are not considered, so that the set initial period has inaccurate stock, the repeated dispatching of the transportation equipment is performed to meet the distribution demand, the unreasonable transportation of the goods transportation equipment is caused, and the transportation resources are consumed. Based on this, the transportation device scheduling method of some embodiments of the present disclosure first obtains the article circulation information of the target article within a preset historical time period. Therefore, the fluctuation of the flow rate (sales volume) of the target object in the preset historical time period can be considered, and the accuracy of the initial inventory (object initial inventory) can be improved conveniently in the follow-up process. Then, based on the article circulation amount group, a circulation average value and an article circulation standard value are generated. Thus, data support is provided for reducing fluctuation of the turnover amount (sales amount) in the preset history period and improving the accuracy of the initial stock amount (initial stock amount of the article). And then, generating an initial inventory of the goods based on the circulation mean value, the goods circulation standard value, the goods circulation quantity group and the preset goods circulation quantity group. Therefore, the accuracy of the set initial inventory (initial inventory of articles) is improved, and the influence of fluctuation of the articles in different time periods is reduced. And finally, controlling the associated transportation equipment to carry out equipment scheduling according to the initial inventory of the articles. Therefore, repeated dispatching of the transportation equipment for meeting the distribution requirement is avoided. The transportation equipment can be reasonably arranged according to the initial stock of the articles, so that the ordered transportation of the articles is facilitated. Furthermore, the waste of transportation resources is reduced, and the energy loss is reduced.
With further reference to fig. 3, a flow 300 of further embodiments of a transportation device scheduling method according to the present disclosure is shown. The method may be performed by the computing device 101 of fig. 1. The transportation equipment scheduling method comprises the following steps:
In some embodiments, the specific implementation manner and technical effects of the steps 301 and 302 can refer to the steps 201 and 202 in the embodiments corresponding to fig. 2, which are not described herein again.
In some embodiments, in response to the group of article turnover numbers satisfying a first preset condition, an executing entity of the transportation device scheduling method (e.g., the computing device 101 shown in fig. 1) may obtain a preset first availability factor corresponding to the first preset condition from the terminal device through a wired connection manner or a wireless connection manner. Here, the first preset condition may be "a difference between every two article runout amounts in the article runout amount group is equal to or greater than a first preset difference, and the difference is equal to or less than a second preset difference". Here, the setting of the first preset difference and the second preset difference is not limited. Here, the first availability factor may be a factor preset to be stored in the local server corresponding to a preset availability factor. For example, the preset good rate may be "95%", and the preset first good rate coefficient may be "1".
In some embodiments, the execution main body may determine a difference between each preset article flow amount in the preset article flow amount group and an article flow amount corresponding to the preset article flow amount as a flow difference, so as to obtain a flow difference group.
As an example, the preset group of article runout amounts may be "[ 30, 25, 30, 32, 28 ]". A difference value "5" between the preset article drift amount "30" and the article drift amount "25" corresponding to the above preset article drift amount "30" may be determined as a drift difference value. A difference value "5" between the preset article drift amount "25" and the article drift amount "20" corresponding to the above preset article drift amount "25" may be determined as a drift difference value. A difference value "0" between the preset article drift amount "30" and the article drift amount "30" corresponding to the above preset article drift amount "30" may be determined as a drift difference value. A difference value "4" between the preset article drift amount "32" and the article drift amount "28" corresponding to the above preset article drift amount "32" may be determined as a drift difference value. A difference value "6" between the preset article drift amount "28" and the article drift amount "22" corresponding to the above preset article drift amount "28" may be determined as a drift difference value. A set of slip differences "5, 5, 0, 4, 6" is obtained.
In some embodiments, in response to the slip difference value set satisfying a second preset condition, the execution main body may acquire a second availability factor corresponding to the second preset condition from the terminal device through a wired connection manner or a wireless connection manner. Here, the second preset condition may be "the difference between every two of the flow transition difference values in the flow transition difference value group is equal to or greater than the first preset value, and the difference is equal to or less than the second preset value". Here, the setting of the first preset value and the second preset value is not limited. Here, the second cargo-rate coefficient may be a coefficient preset to be stored in the local server corresponding to a preset cargo rate. For example, the preset good rate may be "97%", and the preset second good rate coefficient may be "2".
In some embodiments, based on the mean value of circulation, the standard value of article circulation, the first rate coefficient of availability, the differential value of circulation, the second rate coefficient of availability, the set of article circulation, and the set of preset circulation, the executing entity may store the article initial inventory by:
firstly, determining the average value of the preset article flow quantities in the preset article flow quantity group as a preset flow average value.
And secondly, determining the average value of each circulation difference value in the circulation difference value group as the circulation difference value average value.
And thirdly, generating an article early storage amount based on the preset circulation average value, the circulation difference average value, the circulation average value, the article circulation standard value, the first goods availability factor, the circulation difference value group, the second goods availability factor, the article circulation amount group and the article preset circulation amount group.
In practice, the initial inventory of the article period can be generated by the following formula:
wherein the content of the first and second substances,
indicating the initial first inventory.
Representing the above-mentioned flow mean.
The first cargo rate coefficient is represented.
And the standard value of the article circulation is represented.
Representing the preset flow mean.
The second cargo rate coefficient is represented.
The sequence number of the streaming difference value in the set of streaming difference values is shown.
Indicating the number of streaming difference values comprised by the set of streaming difference values.
Represents the second of the above-mentioned sets of slip differences
The individual flow difference values.
Representing the mean value of the above-mentioned flow difference values.
Indicating an inventory threshold.
Representing the factorial operator.
Indicating the initial second inventory.
Indicating the initial inventory of the item.
Indicating a rounding down operation.
The formula and the related content in step 306 serve as an invention point of the present disclosure, thereby solving the technical problem mentioned in the background art that "the fluctuation of the articles at different times is not considered, and the initial inventory setting is too high, which may cause high loss of part of the articles; the initial period should have a low inventory setting, which results in a low utilization of the front bay. The factors that contribute to higher losses of parts of the articles or lower utilization of the front compartment are often as follows: the fluctuation conditions of the articles at different time are not considered, and the initial inventory setting is too high, which causes higher loss of part of the articles; if the initial inventory setting is low, the utilization of the front warehouse will be causedThe rate is low. If the factors are solved, the effects of reducing the loss of partial articles and improving the utilization rate of the front bin can be achieved. To achieve this, the transportation device scheduling method of some embodiments of the present disclosure passes through three different angles to mitigate the fluctuation of the items at different times. First, it is determined whether the group of article runoff quantities satisfies a first preset condition, i.e., whether the group of article runoff quantities conforms to normal distribution is determined. Thus, when the group of article runoff quantities conforms to the normal distribution, the method utilizes
The initial inventory of the generated article relatively accords with the requirement condition of the actual article. And then, determining whether the flow rotation difference value group meets a second preset condition, namely, judging whether the flow rotation difference value group accords with normal distribution. Thus, when the flow difference value group is fit to the normal distribution, the method uses
The initial stock of the article thus generated is in accordance with the actual demand of the article. Then, when the article flow quantity group and the flow difference value group do not conform to the normal distribution, the article flow quantity group and the flow difference value group are passed
To obtain the initial inventory of the second period. And finally, comprehensively selecting the optimal (maximum) initial inventory of the articles from the initial inventory of the articles obtained from three different angles through a formula. Therefore, the problem that the loss of part of articles is high due to the fact that the initial inventory setting is too high is solved; and the problem that the utilization rate of the preposed bin is low due to low inventory setting at the beginning of the period is solved. Therefore, the loss of partial articles in the front cabin is reduced, and the space utilization rate of the front cabin is improved.
And 307, controlling the related transportation equipment to dispatch the equipment according to the initial inventory of the goods.
In some embodiments, the specific implementation manner and technical effects of step 307 may refer to step 204 in those embodiments corresponding to fig. 2, and are not described herein again.
As can be seen from fig. 3, compared with the description of some embodiments corresponding to fig. 2, the flow 300 of the transportation device scheduling method in some embodiments corresponding to fig. 3 solves the problem that the initial inventory level is set too high, which results in high loss of part of the articles; and the problem that the utilization rate of the preposed bin is low due to low inventory setting at the beginning of the period is solved. Therefore, the loss of partial articles in the front cabin is reduced, and the space utilization rate of the front cabin is improved.
With further reference to fig. 4, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a transportation device scheduling apparatus, which correspond to those of the method embodiments described above in fig. 2, and which may be applied in various electronic devices.
As shown in fig. 4, the transportation device scheduling apparatus 400 of some embodiments includes: an acquisition unit 401, a first generation unit 402, a second generation unit 403, and a control unit 404. The obtaining unit 401 is configured to obtain article circulation information of a target article in a preset historical time period, where the article circulation information includes an article circulation amount group and an article preset circulation amount group, and an article circulation amount in the article circulation amount group corresponds to an article preset circulation amount in the article preset circulation amount group; the first generating unit 402 is configured to generate a circulation mean value and an article circulation standard value based on the article circulation amount group; the second generating unit 403 is configured to generate an initial inventory amount of the article based on the circulation average value, the article circulation standard value, the article circulation amount group, and the preset circulation amount group of the article; the control unit 404 is configured to control the associated transportation device to perform equipment scheduling according to the initial inventory amount of the above-mentioned items.
It will be understood that the elements described in the apparatus 400 correspond to various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 400 and the units included therein, and will not be described herein again.
Referring now to FIG. 5, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1) 500 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 5 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. 5, electronic device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM502, and the RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device 500 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. 5 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 via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program, when executed by the processing device 501, 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 above 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 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: 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 apparatus; 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: acquiring article circulation information of a target article in a preset historical time period, wherein the article circulation information comprises an article circulation amount group and an article preset circulation amount group, and the article circulation amount in the article circulation amount group corresponds to the article preset circulation amount in the article preset circulation amount group; generating a circulation mean value and an article circulation standard value based on the article circulation quantity group; generating an initial inventory of the articles based on the circulation mean value, the article circulation standard value, the article circulation quantity group and the article preset circulation quantity group; and controlling the associated transportation equipment to carry out equipment dispatching according to the initial inventory of the goods.
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, and may be described as: a processor includes an acquisition unit, a first generation unit, a second generation unit, and a control unit. The names of these units do not constitute a limitation to the unit itself in some cases, and for example, the second generation unit may be further described as "a unit that generates an initial stock amount of an article based on the above-mentioned average value of circulation, the above-mentioned standard value of circulation of the article, the above-mentioned group of circulation of the article, and the above-mentioned group of preset circulation of the article".
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 (7)
1. A transportation device scheduling method, comprising:
acquiring article circulation information of a target article in a preset historical time period, wherein the article circulation information comprises an article circulation amount group and an article preset circulation amount group, and the article circulation amount in the article circulation amount group corresponds to the article preset circulation amount in the article preset circulation amount group;
generating a circulation mean value and an article circulation standard value based on the article circulation quantity group;
generating an initial inventory of the articles based on the circulation mean value, the article circulation standard value, the article circulation quantity group and the article preset circulation quantity group;
controlling the associated transportation equipment to carry out equipment scheduling according to the initial inventory of the goods;
wherein, based on the circulation mean value, the article circulation standard value, the article circulation quantity group and the article preset circulation quantity group, generating an article initial inventory, comprises:
responding to the article flow quantity group meeting a first preset condition, and acquiring a first cargo rate coefficient corresponding to the first preset condition;
determining the difference value between each preset article flow quantity in the preset article flow quantity group and the article flow quantity corresponding to the preset article flow quantity as a flow difference value to obtain a flow difference value group;
responding to the flow difference value group meeting a second preset condition, and acquiring a second cargo rate coefficient corresponding to the second preset condition;
generating an article initial inventory based on the circulation mean value, the article circulation standard value, the first cargo rate coefficient, the circulation difference value group, the second cargo rate coefficient, the article circulation quantity group and the article preset circulation quantity group;
wherein generating an article initial inventory based on the flow mean, the article flow standard value, the first shipment rate coefficient, the flow difference value set, the second shipment rate coefficient, the article flow quantity set, and the article preset flow quantity set comprises:
determining the average value of the preset article flow quantities in the preset article flow quantity group as a preset flow average value;
determining the average value of each flow difference value in the flow difference value group as a flow difference value average value;
generating an article initial inventory based on the preset circulation mean value, the circulation difference mean value, the circulation mean value, the article circulation standard value, the first cargo rate coefficient, the circulation difference value set, the second cargo rate coefficient, the article circulation quantity set and the article preset circulation quantity set;
wherein generating an article early inventory based on the preset circulation mean value, the circulation difference mean value, the circulation mean value, the article circulation standard value, the first freight rate coefficient, the circulation difference value set, the second freight rate coefficient, the article circulation quantity set, and the article preset circulation quantity set comprises:
the initial inventory at the commodity stage is generated by the following formula:
wherein the content of the first and second substances,
the initial inventory at the first stage is shown,
the mean value of the stream is represented,
representing the first cargo rate coefficient,
the standard value of the goods circulation is represented,
represents the pre-set flow mean value and the pre-set flow mean value,
represents the second cargo rate coefficient and,
a sequence number representing a streaming difference value in the set of streaming difference values,
representing the number of streaming difference values comprised by said set of streaming difference values,
represents the second of the set of slip differences
The value of the difference of the number of streams,
represents the mean value of the difference values of the streams,
a threshold value of the inventory is indicated,
a factorial operator is represented as a function of,
the initial stock at the second stage is shown,
the initial inventory of the article is shown,
indicating a rounding down operation.
2. The method of claim 1, wherein the set of preset article runout values is generated by:
acquiring historical article circulation information of the target article in a target historical time period, wherein the historical article circulation information comprises a historical article circulation amount group, a historical article estimated circulation amount group, a historical article end stock group and a historical article preservation time period group, the historical article circulation amount in the historical article circulation amount group corresponds to the historical article estimated circulation amount in the historical article estimated circulation amount group, the historical article end stock in the historical article end stock group and the historical article preservation time period in the historical article preservation time period group, and the time period of the target historical time period is equal to the time period of the preset historical time period;
generating a circulation adjusting value based on the historical article circulation amount group and the historical article pre-estimation circulation amount group;
and generating an article preset circulation amount based on the circulation adjusting value, each historical article circulation amount in the historical article circulation amount group, the historical article estimated circulation amount corresponding to the historical article circulation amount, the historical article end inventory and the historical article circulation amount to obtain an article preset circulation amount group.
3. The method of claim 2, wherein generating a flow adjustment value based on the set of historical item flows and the set of historical item forecast flows comprises:
normalizing each historical article flow in the historical article flow group to generate normalized article flow to obtain a normalized article flow group;
normalizing each historical article estimated flow in the historical article estimated flow group to generate normalized article estimated flow to obtain a normalized article estimated flow group;
determining the difference value of each normalized article estimated flow quantity in the normalized article estimated flow quantity group and the normalized article flow quantity corresponding to the normalized article estimated flow quantity as a normalized flow difference value to obtain a normalized flow difference value group;
selecting a normalized circulation difference value smaller than or equal to a preset threshold value from the normalized circulation difference value group as a target normalized circulation difference value to obtain a target normalized circulation difference value group;
respectively determining the normalized article flow quantity and the normalized article estimated flow quantity corresponding to each target normalized flow difference value in the target normalized flow difference value group as a target normalized article flow quantity and a target normalized article estimated flow quantity to obtain a target normalized article flow quantity group and a target normalized article estimated flow quantity group;
and generating a circulation adjusting value based on the target normalized article circulation quantity group and the target normalized article pre-estimation circulation quantity group.
4. The method of claim 3, wherein generating a flow adjustment value based on the target set of normalized item flows and the target set of normalized item forecast flows comprises:
determining the ratio of each target normalized article flow quantity in the target normalized article flow quantity group to the target normalized article estimated flow quantity corresponding to the target normalized article flow quantity as an adjustment value to obtain an adjustment value group;
and carrying out weighted average processing on each adjusting value in the adjusting value group to generate a circulation adjusting value.
5. A transportation device scheduling apparatus comprising:
the system comprises an acquisition unit, a storage unit and a processing unit, wherein the acquisition unit is configured to acquire article circulation information of a target article in a preset historical time period, the article circulation information comprises an article circulation amount group and an article preset circulation amount group, and the article circulation amount in the article circulation amount group corresponds to the article preset circulation amount in the article preset circulation amount group;
a first generation unit configured to generate a circulation mean value and an article circulation standard value based on the article circulation amount group;
a second generation unit configured to generate an initial inventory of items based on the circulation average value, the item circulation standard value, the item circulation amount group, and the preset circulation amount group of items; the second generation unit is further configured to:
responding to the article flow quantity group meeting a first preset condition, and acquiring a first cargo rate coefficient corresponding to the first preset condition;
determining the difference value between each preset article flow quantity in the preset article flow quantity group and the article flow quantity corresponding to the preset article flow quantity as a flow difference value to obtain a flow difference value group;
responding to the flow difference value group meeting a second preset condition, and acquiring a second cargo rate coefficient corresponding to the second preset condition;
generating an article initial inventory based on the circulation mean value, the article circulation standard value, the first cargo rate coefficient, the circulation difference value group, the second cargo rate coefficient, the article circulation quantity group and the article preset circulation quantity group;
wherein generating an article initial inventory based on the flow mean, the article flow standard value, the first shipment rate coefficient, the flow difference value set, the second shipment rate coefficient, the article flow quantity set, and the article preset flow quantity set comprises:
determining the average value of the preset article flow quantities in the preset article flow quantity group as a preset flow average value;
determining the average value of each flow difference value in the flow difference value group as a flow difference value average value;
generating an article initial inventory based on the preset circulation mean value, the circulation difference mean value, the circulation mean value, the article circulation standard value, the first cargo rate coefficient, the circulation difference value set, the second cargo rate coefficient, the article circulation quantity set and the article preset circulation quantity set;
wherein generating an article early inventory based on the preset circulation mean value, the circulation difference mean value, the circulation mean value, the article circulation standard value, the first freight rate coefficient, the circulation difference value set, the second freight rate coefficient, the article circulation quantity set, and the article preset circulation quantity set comprises:
the initial inventory at the commodity stage is generated by the following formula:
wherein the content of the first and second substances,
the initial inventory at the first stage is shown,
the mean value of the stream is represented,
representing the first cargo rate coefficient,
the standard value of the goods circulation is represented,
represents the pre-set flow mean value and the pre-set flow mean value,
represents the second cargo rate coefficient and,
a sequence number representing a streaming difference value in the set of streaming difference values,
representing the number of streaming difference values comprised by said set of streaming difference values,
represents the second of the set of slip differences
The value of the difference of the number of streams,
represents the mean value of the difference values of the streams,
a threshold value of the inventory is indicated,
a factorial operator is represented as a function of,
the initial stock at the second stage is shown,
library for showing article beginningThe amount of the waste water is stored,
represents a rounding down operation;
and the control unit is configured to control the associated transportation equipment to carry out equipment scheduling according to the initial inventory of the articles.
6. 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 1-4.
7. 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 1-4.
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