CN115730887A - Logistics warehouse unloading time scheduling method, device, equipment and storage medium - Google Patents

Logistics warehouse unloading time scheduling method, device, equipment and storage medium Download PDF

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Publication number
CN115730887A
CN115730887A CN202110982106.6A CN202110982106A CN115730887A CN 115730887 A CN115730887 A CN 115730887A CN 202110982106 A CN202110982106 A CN 202110982106A CN 115730887 A CN115730887 A CN 115730887A
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unloading
time
frequency
platform
low
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朱兆军
孔祥茂
周超
武海江
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Beijing SF Intra City Technology Co Ltd
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Beijing SF Intra City Technology Co Ltd
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Abstract

The application relates to a method and a device for scheduling unloading time of a logistics warehouse, computer equipment and a storage medium. The method and the device can reduce the offline coordination management cost while meeting the requirements of transportation and production, and help enterprises reduce cost and improve efficiency. The method comprises the following steps: acquiring original unloading time arrangement information of a platform of a logistics warehouse; determining the platforms with unloading blockage according to the original unloading starting time in the original unloading time arrangement information and the current actual unloading time of each platform, and taking the platforms with unloading blockage as platforms to be adjusted; acquiring original unloading starting time of a low-frequency logistics vehicle corresponding to a platform to be adjusted; determining an adjustable range of unloading time for the low-frequency logistics vehicles according to the original unloading starting time of the low-frequency logistics vehicles; determining second unloading time of the low-frequency logistics vehicle according to the adjustable range of the unloading time; and instructing the platform to be adjusted to arrange the low-frequency logistics vehicles to carry out unloading treatment at a second unloading time.

Description

Logistics warehouse unloading time scheduling method, device, equipment and storage medium
Technical Field
The application relates to the technical field of logistics transportation, in particular to a method and a device for scheduling unloading time of a logistics warehouse, computer equipment and a storage medium.
Background
With the rapid development of the logistics industry and the improvement of the productivity of automobile manufacturers, the automobile manufacturers need increasingly high-efficiency transportation and dispatching capability of automobile parts. In an automobile production scheduling logistics system, incoming logistics is an important link for ensuring high production efficiency, the incoming logistics refers to a logistics process of transporting automobile parts from various part suppliers to an automobile manufacturing factory and entering a warehouse, a warehouse receiving link is a final link of the incoming logistics, the warehouse receiving refers to making and executing a discharge plan for all part transportation vehicles arriving at the automobile manufacturing factory, and the process of entering all parts into the warehouse is completed quickly and orderly, so that the necessary premise that automobile production can be carried out normally is ensured.
In the current logistics system of automobile production scheduling, a warehouse receiving plan usually adopts three modes, the First mode is FCFS algorithm (First Come First Service), and the unloading sequence is determined according to the arrival sequence of goods. The second mode is peak value estimation, namely the peak value of the cargo receiving capacity of the peak value required by each platform of the warehouse is estimated, and when the platform which can not actually reach the peak value can be coordinated and processed through the line, the method increases the cost of manpower and material resources; the third mode is flexible management, and the goods receiving capacity of each platform of the warehouse is dynamically adjusted through a certain management means, so that the mode has extremely high requirement on offline management and is easy to cause disorder. Therefore, the existing scheduling method still has the defects of low efficiency and high cost.
Disclosure of Invention
In view of the above, there is a need to provide a method, an apparatus, a computer device and a storage medium for scheduling unloading time of a logistics warehouse.
A logistics warehouse unloading time scheduling method, the method comprising:
acquiring original unloading time arrangement information of a platform of a logistics warehouse;
determining the platforms with unloading blockage according to the original unloading starting time in the original unloading time arrangement information and the current actual unloading time of each platform, and taking the platforms with unloading blockage as platforms to be adjusted;
acquiring the original unloading starting time of the low-frequency logistics vehicle corresponding to the platform to be adjusted;
determining an adjustable range of unloading time for the low-frequency logistics vehicle according to the original unloading starting time of the low-frequency logistics vehicle and preset adjustable upper and lower limits; the unloading time adjustable range enables the unloading time of the high-frequency logistics vehicle and the low-frequency logistics vehicle for unloading on the platform to be adjusted to meet a preset supply speed;
determining second unloading time of the low-frequency logistics vehicle according to the adjustable unloading time range;
and instructing the platform to be adjusted to schedule the low-frequency logistics vehicles to carry out unloading treatment at the second unloading time.
In one embodiment, the determining the second unloading time of the low-frequency logistics vehicle according to the adjustable unloading time range comprises:
judging whether effective unloading time exists within the adjustable unloading time range; the effective unloading time is an unloading starting time which can enable the platform to be adjusted to avoid unloading blockage;
if so, selecting the optimal effective unloading time from the effective unloading times as a second unloading time; wherein the optimal effective unloading time is the time which can enable the adjustment amplitude of the original unloading starting time of the low-frequency logistics vehicle to be minimum.
In one embodiment, after determining whether there is an effective discharge time within the adjustable discharge time range, the method further includes:
if not, searching for the blocked minimum unloading time from the adjustable range of the unloading time; the blocked minimum unloading time is an unloading starting time which can enable the unloading blocking time of the high-frequency logistics vehicles and the low-frequency logistics vehicles to be shortest;
and determining a second unloading time of the low-frequency logistics vehicle according to the blocked minimum unloading time.
In one embodiment, the jam minimum discharge time comprises a plurality of jam minimum discharge times; determining a second discharge time of the low-frequency logistics vehicle according to the blocked minimum discharge time, comprising:
selecting a comprehensive optimal time from a plurality of blocked minimum unloading times as a second unloading time of the low-frequency logistics vehicle; the comprehensive optimal time is the time which can enable the adjustment range of the original unloading starting time of the low-frequency logistics vehicle to be minimum.
In one embodiment, after the instructing the to-be-adjusted platform to schedule the low-frequency logistics vehicle for unloading treatment at the second unloading time, the method further comprises:
updating the state of the platform to be adjusted into an adjusted platform;
if the adjusted platform still has unloading blockage, judging the time distribution state of the unloading blockage state in a preset time period;
and determining logistics guide prompt information under the line according to the time distribution state.
In one embodiment, the determining the offline prompt information according to the time distribution state includes:
and if the occurrence frequency ratio of the unloading blockage state in the preset time period is concentrated in a preset rest time range in a situation higher than the first preset ratio, determining the offline logistics guidance prompt information as the extension working time.
In one embodiment, the determining the prompt information under the line according to the time distribution state further includes:
if the time distribution state is a scattered state, determining that the offline logistics guidance prompt information is the assistance of dispatching the forklift; the scattered state refers to the situation that a plurality of unloading blocking states exist in the time distribution state in the preset time period and the occurrence frequency occupation ratio of each unloading blocking state is lower than a second preset occupation ratio;
and/or the presence of a gas in the atmosphere,
if the time distribution state is a multi-time high-speed state, determining that the logistics guidance prompt information under the line is to increase the number of resident forklifts or the number of unloading platforms; the multiple high-incidence state refers to the situation that multiple unloading blocking states exist in the time distribution state in the preset time period, and the occurrence frequency ratio of the unloading blocking states at all places is higher than the third preset ratio.
A logistics warehouse unloading time scheduling apparatus, the apparatus comprising:
the first information acquisition module is used for acquiring original unloading time arrangement information of a platform of the logistics warehouse;
a platform to be adjusted determining module, configured to determine a platform with a discharge blockage according to the original discharge start time in the original discharge time arrangement information and the current actual discharge time of each platform, and use the platform with the discharge blockage as the platform to be adjusted;
the second information acquisition module is used for acquiring the original unloading starting time of the low-frequency logistics vehicle corresponding to the platform to be adjusted;
the adjustable range determining module is used for determining the adjustable range of the unloading time of the low-frequency logistics vehicle according to the original unloading starting time of the low-frequency logistics vehicle and preset adjustable upper and lower limits; the unloading time adjustable range enables the unloading time of the high-frequency logistics vehicle and the low-frequency logistics vehicle for unloading on the platform to be adjusted to meet a preset supply speed;
the second unloading time determining module is used for determining second unloading time of the low-frequency logistics vehicle according to the adjustable unloading time range;
and the unloading task indicating module is used for indicating the to-be-adjusted platform to arrange the low-frequency logistics vehicle for unloading treatment at the second unloading time.
A computer arrangement comprising a memory storing a computer program and a processor implementing the steps of the logistics warehouse unloading time scheduling method embodiment as described above when the processor executes the computer program.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps in the logistics warehouse down time scheduling method embodiment as described above.
The logistics warehouse unloading time scheduling method, the logistics warehouse unloading time scheduling device, the computer equipment and the storage medium acquire original unloading time arrangement information of a platform of the logistics warehouse; determining the platforms with unloading blockage according to the original unloading starting time in the original unloading time arrangement information and the current actual unloading time of each platform, and taking the platforms with unloading blockage as platforms to be adjusted; acquiring the original unloading starting time of the low-frequency logistics vehicle corresponding to the platform to be adjusted; determining an adjustable range of unloading time for the low-frequency logistics vehicle according to the original unloading starting time of the low-frequency logistics vehicle and preset adjustable upper and lower limits; the unloading time adjustable range enables the unloading time of the high-frequency logistics vehicle and the low-frequency logistics vehicle for unloading on the platform to be adjusted to meet a preset supply speed; determining second unloading time of the low-frequency logistics vehicle according to the adjustable unloading time range; and instructing the platform to be adjusted to schedule the low-frequency logistics vehicles to carry out unloading treatment at the second unloading time. The method can meet the requirements of transportation and production, reduce the offline coordination management cost and help enterprises reduce cost and improve efficiency.
Drawings
Fig. 1 is an application environment diagram of a logistics warehouse unloading time scheduling method in one embodiment;
fig. 2 is a schematic flow chart of a method for scheduling unloading time of a logistics warehouse in one embodiment;
FIG. 3 is a schematic flow chart diagram of the intelligent tuning step in one embodiment;
FIG. 4 is a flow chart illustrating offline alert guidance in another embodiment;
fig. 5 is a structural block diagram of a logistics warehouse unloading time scheduling device in one embodiment;
FIG. 6 is a diagram of the internal structure of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.
The logistics warehouse unloading time scheduling method provided by the application can be applied to the application environment shown in fig. 1. Wherein the terminal 101 communicates with the server 102 via a network. The terminal 101 is distributed on each platform of the logistics warehouse and used for collecting information of current unloading vehicles or display prompt information, the terminal 101 can be but is not limited to various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices, the server 102 is used for overall management of unloading data of all the platforms of the warehouse, and the terminal can be realized by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, a logistics warehouse unloading time scheduling method is provided, which is described by taking the method as an example applied to the server 102 in fig. 1, and includes the following steps:
step S201, obtaining original unloading time arrangement information of the platform of the logistics warehouse.
The original unloading time arrangement information refers to unloading time arrangement of each platform of an original plan, and each platform is arranged according to ideal unloading time arrangement, namely, each logistics vehicle can realize instant unloading according to the time arrangement information, and no unloading blockage occurs.
Specifically, the server 102 queries, from the database, original unloading time schedule information of all platforms of the logistics warehouse, where the original unloading time schedule information includes information such as planned unloading start time and unloading time period of each logistics vehicle.
Step S202, determining the platform with unloading blockage according to the original unloading starting time in the original unloading time arrangement information and the current actual unloading time of each platform, and taking the platform with unloading blockage as the platform to be adjusted;
here, the "blocked unloading" means that there is a conflict in unloading, for example, the original plan 10 of the car a starts unloading at 00, and the original plan 10 of the car B starts unloading separately, but actually, the car a has not finished unloading at 10 minutes, and thus the unloading time of the car B conflicts with the unloading time of the car a due to some reasons.
Specifically, the server 102 obtains the actual unloading time of each current platform, compares the actual unloading time with the original unloading start time in the original unloading time scheduling information, calculates a platform with unloading blockage, and uses the platform as a platform to be adjusted, that is, modifies the state of the platform in the system to the platform to be adjusted.
Step S203, acquiring the original unloading starting time of the low-frequency logistics vehicle corresponding to the platform to be adjusted.
Specifically, the intelligent scheduling is carried out by adopting a strategy of high-frequency priority scheduling and low-frequency intelligent adjustment, wherein the high frequency and the low frequency are defined according to an actual logistics mode, currently, a common distribution mode in logistics transportation is a Mill Run mode or a standardized production mode, namely, cyclic goods taking, a carrier starts with goods which need to be returned to suppliers from customers, arrives at each supplier in sequence, unloads the goods which are returned to the suppliers, loads the goods which need to be collected from the suppliers, and returns the goods to the customers. In an actual scene, the frequency of the logistics vehicle running on the route is used as the frequency of the logistics vehicle, for example, a truck A runs according to a route 1, and the truck A can be completed only by running 9 times in a specified time unit on the route 1, so that the frequency of the truck A is 9. In practical applications, a low-frequency logistics vehicle and a high-frequency logistics vehicle may be defined, wherein the low server 102 queries the original unloading start time of the low-frequency logistics vehicle corresponding to the dock to be adjusted, according to the transportation frequency of the low-frequency logistics vehicle on the preset transportation route, compared with the transportation frequency of the high-frequency logistics vehicle on the preset transportation route.
Step S204, determining an adjustable range of unloading time for the low-frequency logistics vehicle according to the original unloading starting time of the low-frequency logistics vehicle and preset adjustable upper and lower limits; the unloading time adjustable range enables the unloading time of the high-frequency logistics vehicle and the low-frequency logistics vehicle for unloading on the platform to be adjusted to meet a preset supply speed;
the adjustable range of the unloading time is determined by the original unloading starting time of the low-frequency logistics vehicle and preset adjustable upper and lower limits, the preset adjustable upper and lower limits refer to the maximum amplitude of the advanced or delayed original unloading starting time of the low-frequency logistics vehicle, for example, the upper limit is +10 minutes, which means that the initial unloading starting time can be delayed by 10 minutes to the maximum extent, the lower limit is-10 minutes, which means that the maximum moving amplitude is advanced by 10 minutes, and the preset adjustable upper and lower limits can be set manually in advance.
Specifically, the server 102 determines an adjustable range of unloading time for the low-frequency logistics vehicle according to the original unloading start time of the low-frequency logistics vehicle and preset adjustable upper and lower limits, so that a certain supply speed can be ensured by adjusting the unloading start time within the adjustable range of unloading time, where the supply speed is such that the production efficiency of the manufacturing plant, such as an automobile manufacturing plant, can meet a preset production standard, and for example, X entire vehicles must be manufactured every day. If the adjustment range exceeds the threshold, warehouse goods supply shortage may be caused, and when the tire assembly automobile is required, sufficient tire supply is not available, so that the production efficiency of the manufacturing industry is reduced.
And S205, determining second unloading time of the low-frequency logistics vehicle according to the adjustable unloading time range.
Specifically, the server 102 determines a second unloading time of the low-frequency logistics vehicle according to the adjustable unloading time range, for example, the upper limit is +10 minutes, and then 10 minutes may be delayed on the basis of the original unloading start time as the second unloading time. It is also possible to select a time within the above-mentioned 10 minutes range as the second unloading time, which may, for example, lag 5 minutes.
And step 206, instructing the platform to be adjusted to arrange the low-frequency logistics vehicles to carry out unloading treatment at the second unloading time.
Specifically, the server 102 instructs the terminal 101 to perform a discharge task according to the settlement result, for example, the terminal may instruct the low-frequency logistics vehicles to discharge at the second discharge time schedule, the high-frequency logistics vehicles to discharge at the first discharge time schedule, and the first discharge time and the second discharge time are both adjusted actual discharge times.
In the embodiment, the original unloading time arrangement information of the platform of the logistics warehouse is obtained; determining the platforms with unloading blockage according to the original unloading starting time in the original unloading time arrangement information and the current actual unloading time of each platform, and taking the platforms with unloading blockage as platforms to be adjusted; acquiring the original unloading starting time of the low-frequency logistics vehicle corresponding to the platform to be adjusted; (ii) a Determining an adjustable range of unloading time for the low-frequency logistics vehicle according to the original unloading starting time of the low-frequency logistics vehicle and preset adjustable upper and lower limits; the unloading time adjustable range enables the unloading time of the high-frequency logistics vehicle and the low-frequency logistics vehicle for unloading on the platform to be adjusted to meet a preset supply speed; determining second unloading time of the low-frequency logistics vehicle according to the adjustable unloading time range; and instructing the platform to be adjusted to schedule the low-frequency logistics vehicle for unloading processing at the second unloading time. The method can reduce the occurrence of the platform congestion, meet the requirements of transportation and production, reduce the offline coordination management cost and achieve the purpose of helping enterprises reduce cost and improve efficiency.
In an embodiment, as shown in fig. 3, fig. 3 is a schematic flowchart illustrating a process of performing intelligent adjustment on a platform to be adjusted, where the step S205 includes:
judging whether effective unloading time exists within the adjustable unloading time range; the effective unloading time is an unloading starting time which can prevent the platform to be adjusted from being blocked by unloading; if so, selecting the optimal effective unloading time from the effective unloading times as a second unloading time; the optimal effective unloading time is the time which can enable the adjustment range of the original unloading starting time of the low-frequency logistics vehicle to be minimum.
Specifically, after the server 102 determines the preset adjustable upper and lower limits, it further needs to search for a time (i.e. an effective unloading time) within an adjustable range of unloading time determined by the preset adjustable upper and lower limits, for example, the preset adjustable upper and lower limits are +10, -10, and the adjustable range of unloading time determined by the preset adjustable upper and lower limits is [ -10, +10], but there may be a time point within the range where unloading blockage cannot be avoided, for example, blockage cannot be avoided even after 5 minutes, and therefore 8 minutes or 9 minutes is needed to lag behind, and then the time after 8 minutes or 9 minutes lags behind the original unloading start time is taken as the effective unloading time. The server judges that if the effective unloading time exists, an optimal effective unloading time needs to be selected from the effective unloading time through a greedy algorithm, the optimal effective unloading time is the unloading starting time with the minimum required moving amplitude, for example, the unloading starting time lagging by 8 minutes is selected as the optimal effective unloading time, and the optimal effective unloading time is the second unloading time (namely the adjusted actual unloading starting time) of the low-frequency logistics vehicle.
The above embodiment, the low frequency truck has a large selectable discharge time range according to the cyclic pickup characteristics required by the mill Run mode of transportation and the standardized production mode. The high-frequency priority is adopted, the unloading time of the low-frequency freight car is adjusted, and the risk of disturbing the transportation plan due to the change of the unloading time arrangement of the high-frequency line can be reduced. In addition, the adjustment time of the low-frequency logistics vehicles can be adjusted forwards or backwards, instead of simply waiting for the high-frequency trucks to finish unloading, the existing unloading resources of the platform can be fully utilized to the greatest extent, and the workload of the offline coordinated management is reduced.
In an embodiment, with reference to fig. 3, after determining whether there is an effective unloading time within the adjustable unloading time range, the method further includes:
if not, searching for the blocked minimum unloading time from the adjustable range of the unloading time; the blockage minimum unloading time is unloading starting time which can enable the unloading blockage time of the high-frequency logistics vehicle and the low-frequency logistics vehicle to be the shortest; and determining a second unloading time of the low-frequency logistics vehicle according to the blocked minimum unloading time.
Specifically, if an effective unloading time capable of completely avoiding unloading blockage cannot be found within the adjustable range of the unloading time capable of guaranteeing the preset production standard, a blockage minimum unloading time is searched from the effective unloading time, and an unloading start time capable of making the time period for unloading conflict shortest is calculated through a greedy algorithm, for example, the unloading start time of the vehicle a is 10 points, unloading is completed in 10 minutes, the vehicle B is originally planned to be unloaded in 10 minutes, and in the actual process, the vehicle a uses 20 minutes for unloading, and can be completed to 10, the vehicle B lags behind by 5 minutes and can not avoid conflict, and meanwhile, the maximum threshold value capable of moving is +10 minutes (here, the time of a plurality of low-frequency vehicles needs to be adjusted simultaneously in an actual situation to make the time conflict smallest), so that unloading blockage cannot be completely avoided, and at this time, the unloading start time capable of making the blockage time smallest is calculated (a greedy algorithm may be used) as the blockage minimum unloading time, and the unloading start time smallest blockage is used as a second unloading time of the low-frequency logistics vehicles.
In the above embodiment, in the case where the unloading conflict cannot be completely avoided, the unloading efficiency is further improved by calculating the blocked minimum unloading time that minimizes the time conflict.
In one embodiment, with reference to fig. 3, if the blocked minimum unloading time includes more than one; determining a second unloading time of the low-frequency logistics vehicle according to the blocked minimum unloading time comprises the following steps:
selecting a comprehensive optimal time from the plurality of blocked minimum unloading times as a second unloading time of the low-frequency logistics vehicle; the comprehensive optimal time is the time which can enable the adjustment range of the original unloading starting time of the low-frequency logistics vehicle to be minimum.
Specifically, if there are a plurality of the blocked minimum unloading times, the unloading time with the minimum movement value is selected as the actual unloading time, i.e., the comprehensive optimal time, from the unloading times with the minimum conflict among the plurality of unloading times with the possible unloading times.
According to the embodiment, the comprehensive optimal unloading time is selected from the multiple blocked minimum unloading times, and the operation efficiency is further improved.
Further, according to the logistics warehouse unloading time scheduling method, the unloading time of the truck with the relatively small frequency number is adjusted by adopting a high-frequency truck priority strategy for the two trucks with the conflict of the unloading time on the platform. The adjustment mode is not waiting for the high-frequency truck to unload, but adopts a set of intelligent adjustment strategy. The intelligent adjustment strategy is as follows: the unloading time can be adjusted backwards to wait for the high-frequency freight car to finish unloading, and can also be adjusted forwards to finish unloading before the high-frequency freight car starts unloading, but the adjustable range is limited, and the requirement of transportation and production can still be met after the low-frequency freight car is adjusted in unloading time; when the adjustment can be carried out forwards or backwards, a greedy algorithm is adopted to preferentially reduce the conflict of the unloading time of the freight car and then reduce the adjustment moving amplitude of the unloading time as an optimization target, and a final adjustment mode is selected.
In an embodiment, as shown in fig. 4, fig. 4 shows a schematic flow chart of offline prompt guidance, where after the step S206, the method further includes: updating the state of the platform to be adjusted into an adjusted platform; if the adjusted platform still has unloading blockage, judging the time distribution state of the unloading blockage state in a preset time period; and determining logistics guide prompt information under the line according to the time distribution state.
Specifically, after the server 102 adjusts the platform to be adjusted, the server instructs the platform to be adjusted to execute according to the adjusted additional time, and if the unloading blockage still exists at this time, the server is managed by using offline prompt information. And in the execution process, if the server detects that the adjusted platform still has a blockage state, judging what prompt information should be carried out according to the time distribution state of the unloading blockage state in a preset time period (such as the current day).
According to the embodiment, the blockage situation of the balcony is reduced after intelligent adjustment, so that only small-range local coordination is needed, namely corresponding prompt information is provided offline to assist in solving the blockage situation, and the unloading efficiency is further improved.
In an embodiment, as shown in fig. 4, the determining the prompt information under the line according to the time distribution state includes:
and if the occurrence frequency ratio of the unloading blockage state in the preset time period is concentrated in the preset rest time range in a situation higher than the first preset ratio, determining the offline logistics guidance prompt information as the prolonged working time.
And/or the presence of a gas in the gas,
if the time distribution state is a scattered state, determining that the offline logistics guidance prompt information is the assistance of the dispatching forklift; the sporadic scattering state refers to that a plurality of unloading blocking states exist in a time distribution state in a preset time period, and the occurrence frequency occupation ratio of each unloading blocking state is lower than a second preset occupation ratio;
and/or the presence of a gas in the atmosphere,
if the time distribution state is a multi-time high-speed state, determining that the logistics guidance prompt information under the line is to increase the number of resident forklifts or the number of unloading platforms; the multiple high-frequency state refers to the situation that multiple unloading blocking states exist in a time distribution state in a preset time period, and the occurrence frequency ratio of each unloading blocking state is higher than a third preset ratio.
Specifically, the server obtains a time distribution state of occurrence of a discharge conflict within a preset time period, and if the conflict time is close to a preset rest time, for example, the occurrence frequency of the discharge blockage state within the preset time period (for example, the current day) is higher than 30% (a first preset percentage), the server instructs the terminal 101 to provide logistics guidance prompt information, which may be working time extension.
Alternatively, if the unloading jam state is mainly focused on the preset rest time, and the logistics vehicles with the unloading time conflict are less than the preset number (for example, less than 10), the terminal 101 may be instructed to provide the logistics guidance prompt information, which may be the extended working time.
If the unloading blocking state scatters in a preset time period (for example, the same day), determining that the logistics guidance prompt information under the line is temporarily dispatching the forklift support before the conflict time; the sporadic scattering state refers to that multiple unloading blockage states exist in a time distribution state in a preset time period (for example, the current day), and the occurrence frequency occupation ratio of each unloading blockage state is lower than a second preset occupation ratio (for example, 20%).
If the time distribution state is a multiple high-rate state, that is, there are multiple unloading obstruction states in the time distribution state in a preset time period (for example, the current day), and the occurrence frequency ratio in each unloading obstruction state is higher than a third preset ratio (for example, 25%), determining that the offline logistics guidance prompt information is to add a resident forklift to the platform, or to add the number of platforms that can be unloaded by the platform.
Optionally, the prompt message may be called from a platform for other unloading resources.
According to the embodiment, offline prompt information is provided locally, elastic management is performed, excessive dependence on manpower judgment and allocation is avoided, management difficulty is reduced, and management cost is reduced.
It should be understood that although the various steps in the flow diagrams of fig. 1-4 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-4 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed sequentially, but may be performed alternately or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 5, there is provided a logistics warehouse unloading time scheduling apparatus 500, comprising: a first information obtaining module 501, a platform to be adjusted determining module 502, a second information obtaining module 503, an adjustable range determining module 504, a second unloading time determining module 505, and an unloading task indicating module 506, wherein:
a first information obtaining module 501, configured to obtain original unloading time arrangement information of a platform of a logistics warehouse;
a to-be-adjusted platform determining module 502, configured to determine a platform with a discharge blockage according to the original discharge start time in the original discharge time arrangement information and the current actual discharge time of each platform, and use the platform with the discharge blockage as the to-be-adjusted platform;
a second information obtaining module 503, configured to obtain an original unloading start time of the low-frequency logistics vehicle corresponding to the platform to be adjusted;
an adjustable range determining module 504, configured to determine an adjustable range of unloading time for the low-frequency logistics vehicle according to the original unloading start time of the low-frequency logistics vehicle and preset adjustable upper and lower limits; the unloading time adjustable range enables the unloading time of the high-frequency logistics vehicle and the low-frequency logistics vehicle for unloading on the platform to be adjusted to meet a preset supply speed;
a second unloading time determining module 505, configured to determine a second unloading time of the low-frequency logistics vehicle according to the adjustable unloading time range;
a task unloading instruction module 506, configured to instruct the to-be-adjusted platform to schedule the low-frequency logistics vehicle for unloading processing at the second unloading time.
In an embodiment, the second unloading time determining module 505 is further configured to: judging whether effective unloading time exists within the adjustable unloading time range; the effective unloading time is an unloading starting time which can prevent the platform to be adjusted from unloading blockage; if so, selecting the optimal effective unloading time from the effective unloading times as a second unloading time; wherein the optimal effective unloading time is the time which can enable the adjustment amplitude of the original unloading starting time of the low-frequency logistics vehicle to be minimum.
In an embodiment, the second unloading time determining module 505 is further configured to: if not, searching for the blocked minimum unloading time from the unloading time adjustable range; the blockage minimum unloading time is unloading starting time which can enable the unloading blockage time of the high-frequency logistics vehicles and the low-frequency logistics vehicles to be shortest; and determining a second unloading time of the low-frequency logistics vehicle according to the blocked minimum unloading time.
In one embodiment, the jam minimum discharge time comprises a plurality; the second unloading time determining module 405 is further configured to: selecting a comprehensive optimal time from a plurality of blocked minimum unloading times as a second unloading time of the low-frequency logistics vehicle; the comprehensive optimal time is the time which can enable the adjustment range of the original unloading starting time of the low-frequency logistics vehicle to be minimum.
In an embodiment, the task unloading indicating module 506 is further configured to: updating the state of the platform to be adjusted into an adjusted platform; if the adjusted platform still has unloading blockage, judging the time distribution state of the unloading blockage state in a preset time period; and determining logistics guide prompt information under the line according to the time distribution state.
In an embodiment, the unloading task instructing module 506 is further configured to: and if the occurrence frequency ratio of the unloading blockage state in the preset time period is concentrated in a preset rest time range in a situation higher than the first preset ratio, determining the offline logistics guidance prompt information as the extension working time.
In an embodiment, the unloading task instructing module 506 is further configured to: if the time distribution state is a scattered state, determining that the offline logistics guidance prompt information is the assistance of dispatching the forklift; the scattered state refers to the situation that a plurality of unloading blocking states exist in the time distribution state in the preset time period and the occurrence frequency occupation ratio of each unloading blocking state is lower than a second preset occupation ratio;
and/or the presence of a gas in the gas,
if the time distribution state is a multi-time high-speed state, determining that the logistics guidance prompt information under the line is to increase the number of resident forklifts or the number of unloading platforms; the multiple high-frequency state refers to the condition that multiple unloading blocking states exist in a time distribution state in a preset time period, and the occurrence frequency ratio of each unloading blocking state is higher than a third preset ratio.
For specific limitations of the device for scheduling the unloading time of the logistics warehouse, reference may be made to the above limitations on the method for scheduling the unloading time of the logistics warehouse, and details thereof are not repeated herein. All or part of each module in the logistics warehouse unloading time scheduling device can be realized through software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 6. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the original discharge scheduling information and the adjusted scheduling data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize a logistics warehouse unloading time scheduling method.
It will be appreciated by those skilled in the art that the configuration shown in fig. 6 is a block diagram of only a portion of the configuration associated with the present application, and is not intended to limit the computing device to which the present application may be applied, and that a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, which includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the logistics warehouse unloading time scheduling method embodiment.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which when executed by a processor implements the steps in the logistics warehouse unloading time scheduling method embodiment as described above.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent application shall be subject to the appended claims.

Claims (10)

1. A logistics warehouse unloading time scheduling method is characterized by comprising the following steps:
acquiring original unloading time arrangement information of a platform of a logistics warehouse;
determining the platforms with unloading blockage according to the original unloading starting time in the original unloading time arrangement information and the current actual unloading time of each platform, and taking the platforms with unloading blockage as platforms to be adjusted;
acquiring the original unloading starting time of the low-frequency logistics vehicle corresponding to the platform to be adjusted;
determining an adjustable range of unloading time for the low-frequency logistics vehicle according to the original unloading starting time of the low-frequency logistics vehicle and preset adjustable upper and lower limits; the unloading time adjustable range enables the unloading time of the high-frequency logistics vehicle and the low-frequency logistics vehicle for unloading on the platform to be adjusted to meet a preset supply speed;
determining second unloading time of the low-frequency logistics vehicle according to the adjustable unloading time range;
and instructing the platform to be adjusted to schedule the low-frequency logistics vehicles to carry out unloading treatment at the second unloading time.
2. The method of claim 1, wherein determining a second discharge time of the low frequency logistics vehicle based on the adjustable range of discharge time comprises:
judging whether effective unloading time exists in the adjustable unloading time range; wherein the effective unloading time is an unloading start time enabling the to-be-adjusted platform to avoid unloading blockage;
if so, selecting the optimal effective unloading time from the effective unloading times as a second unloading time; wherein the optimal effective unloading time is the time which can enable the adjustment amplitude of the original unloading starting time of the low-frequency logistics vehicle to be minimum.
3. The method according to claim 2, wherein said determining if there is an effective discharge time within said adjustable range of discharge times further comprises:
if not, searching for the blocked minimum unloading time from the adjustable range of the unloading time; the blocked minimum unloading time is an unloading starting time which can enable the unloading blocking time of the high-frequency logistics vehicles and the low-frequency logistics vehicles to be shortest;
and determining a second unloading time of the low-frequency logistics vehicle according to the blocked minimum unloading time.
4. A method according to claim 3, wherein the blocked minimum discharge time comprises a plurality; determining a second discharge time of the low-frequency logistics vehicle according to the blocked minimum discharge time, wherein the determining the second discharge time comprises:
selecting a comprehensive optimal time from a plurality of blocked minimum unloading times as a second unloading time of the low-frequency logistics vehicle; the comprehensive optimal time is the time which can enable the adjustment range of the original unloading starting time of the low-frequency logistics vehicle to be minimum.
5. The method of any one of claims 1 to 4, wherein after the instructing the dock to be adjusted to schedule the low frequency logistics vehicle for a discharge process at the second discharge time, the method further comprises:
updating the state of the platform to be adjusted into an adjusted platform;
if the adjusted platform still has unloading blockage, judging the time distribution state of the unloading blockage state in a preset time period;
and determining logistics guide prompt information under the line according to the time distribution state.
6. The method according to claim 5, wherein the determining of the prompt information according to the time distribution status comprises:
and if the occurrence frequency ratio of the unloading blockage state in the preset time period is concentrated in the preset rest time range in a situation higher than the first preset ratio, determining the offline logistics guidance prompt information as the extension working time.
7. The method of claim 5, wherein determining offline prompt information according to the time distribution status further comprises:
if the time distribution state is a scattered state, determining that the offline logistics guidance prompt information is the assistance of the dispatching forklift; the scattered state refers to the situation that a plurality of unloading blocking states exist in the time distribution state in the preset time period and the occurrence frequency occupation ratio of each unloading blocking state is lower than a second preset occupation ratio;
and/or the presence of a gas in the gas,
if the time distribution state is a multi-time high-speed state, determining that the logistics guidance prompt information under the line is to increase the number of resident forklifts or the number of unloading platforms; the multiple high-frequency state refers to the condition that multiple unloading blocking states exist in a time distribution state in a preset time period, and the occurrence frequency ratio of each unloading blocking state is higher than a third preset ratio.
8. A logistics warehouse unloading time scheduling device, characterized in that the device includes:
the first information acquisition module is used for acquiring original unloading time arrangement information of a platform of the logistics warehouse;
a platform to be adjusted determining module, configured to determine a platform with a discharge blockage according to the original discharge start time in the original discharge time arrangement information and the current actual discharge time of each platform, and use the platform with the discharge blockage as the platform to be adjusted;
the second information acquisition module is used for acquiring the original unloading starting time of the low-frequency logistics vehicle corresponding to the platform to be adjusted;
the adjustable range determining module is used for determining the adjustable range of the unloading time of the low-frequency logistics vehicle according to the original unloading starting time of the low-frequency logistics vehicle and preset adjustable upper and lower limits; the unloading time adjustable range enables the unloading time of the high-frequency logistics vehicle and the low-frequency logistics vehicle for unloading on the platform to be adjusted to meet a preset supply speed;
the second unloading time determining module is used for determining second unloading time of the low-frequency logistics vehicle according to the adjustable range of the unloading time;
and the unloading task indicating module is used for indicating the to-be-adjusted platform to arrange the low-frequency logistics vehicle for unloading processing at the second unloading time.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
CN202110982106.6A 2021-08-25 2021-08-25 Logistics warehouse unloading time scheduling method, device, equipment and storage medium Pending CN115730887A (en)

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Application Number Priority Date Filing Date Title
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Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110982106.6A CN115730887A (en) 2021-08-25 2021-08-25 Logistics warehouse unloading time scheduling method, device, equipment and storage medium

Publications (1)

Publication Number Publication Date
CN115730887A true CN115730887A (en) 2023-03-03

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Country Link
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