Wave management method, and wave management model construction method and device

Abstract

The invention provides a wave management method and a wave management model construction method and device.The wave management method comprises the steps that the ex-warehouse time of each wave is determined; according to a predefined constraint condition, adjusting the ex-warehouse time of at least a part of waves in the waves; wherein the constraint condition comprises a transportation preparation efficiency constraint and a packaging efficiency constraint; and according to the adjusted ex-warehouse time, merging the waves. According to the embodiment, the sorting efficiency can be improved and the logistics operation cost can be reduced by combining redundant waves.

Description

Technical Field

[0001] The present invention relates to the field of logistics, and in particular to a wave management method, a wave management waveform construction method and a device. Background Art

[0002] A wave refers to a set of orders obtained by merging different orders according to certain standards. In applications, picking can be done based on waves to improve picking efficiency. However, the wave merging rules in the prior art usually have the problem of redundant waves, which not only reduces the efficiency of picking according to waves, but also increases logistics operation costs. Summary of the invention

[0003] In view of this, the embodiments of the present disclosure at least provide a wave management method, a wave management model construction method, a device, an electronic device and a storage medium, which can improve picking efficiency and reduce logistics operation costs by merging redundant waves.

[0004] In a first aspect, an embodiment of the present disclosure provides a wave management method, including:

[0005] Determine the delivery time of each wave;

[0006] According to predefined constraints, the outbound time of at least some of the waves is adjusted; wherein the constraints include transportation preparation efficiency constraints and packaging efficiency constraints;

[0007] Merge the waves according to the adjusted delivery time.

[0008] Optionally, according to predefined constraints, the outbound time of at least some of the waves is adjusted, including:

[0009] Selecting the first wave and the second wave that meet the first preset condition from each wave; the first preset condition includes: the delivery time of the first wave is later than the delivery time of the second wave, and the first reference time of the first wave in the historical period is earlier than the delivery time of the second wave;

[0010] In response to the first wave and the second wave satisfying the transportation preparation efficiency constraint and the packaging efficiency constraint, adjusting the delivery time of the first wave to the delivery time of the second wave;

[0011] Among them, the first reference time is determined based on the packaging completion time of the first wave in the historical period; the packaging completion time is determined based on the packaging information of the first wave; the packaging efficiency constraints include: the outbound time of the second wave is later than the packaging completion time of the first wave, and the transportation preparation efficiency constraints include: the transportation start time of the first wave is later than the transportation start time of the second wave.

[0012] Optionally, according to predefined constraints, the outbound time of at least some of the waves is adjusted, including:

[0013] Selecting the third wave and the fourth wave that meet the second preset condition from each wave; the second preset condition includes: the order deadline of the third wave is later than the order deadline of the fourth wave, the packing time of the third wave is shorter than the packing time of the fourth wave, and the packing completion time of the fourth wave is earlier than the transportation start time of the third wave;

[0014] In response to the third wave and the fourth wave satisfying the transportation preparation efficiency constraint and the packaging efficiency constraint, adjusting the outbound time of the fourth wave to the outbound time of the third wave;

[0015] Among them, the packing duration and the packing completion time are determined based on the packing information of the third wave and the fourth wave; the packing efficiency constraints include: the outbound time of the third wave is later than the packing completion time of the fourth wave; the transportation preparation efficiency constraints include: the transportation start time of the fourth wave is later than the transportation start time of the third wave.

[0016] Optionally, according to predefined constraints, the outbound time of at least some of the waves is adjusted, including:

[0017] Selecting a fifth wave that meets a third preset condition from each wave; the third preset condition includes: the average daily order quantity in the historical period is less than a preset threshold;

[0018] In response to the fifth wave satisfying the transportation preparation efficiency constraint and the packaging efficiency constraint, adjusting the outbound time of the fifth wave to the outbound time of the sixth wave;

[0019] Among them, the sixth wave is before the fifth wave and adjacent to the fifth wave; the packaging efficiency constraints include: the outbound time of the sixth wave is later than the packaging completion time of the fifth wave; the transportation preparation efficiency constraints include: the transportation start time of the fifth wave is later than the transportation start time of the sixth wave.

[0020] Optionally, according to predefined constraints, the outbound time of at least some of the waves is adjusted, including:

[0021] Determine the expedited wave in each wave and the target wave with the largest number of orders in each expedited wave;

[0022] In response to the target wave and other waves satisfying the transport preparation efficiency constraint and the packaging efficiency constraint, adjusting the delivery time of other waves to the delivery time of the target wave; other waves are expedited waves among the expedited waves except the target wave;

[0023] Among them, the packaging efficiency constraints include: the outbound time of the target wave is later than the outbound time of other waves, and the transportation preparation efficiency constraints include: the transportation start time of the outbound time of other waves is later than the transportation start time of the target wave.

[0024] Optionally, the method further comprises:

[0025] Adjust the order cut-off time of some waves according to the adjusted delivery time of some waves and the corresponding packaging time of some waves;

[0026] The packaging duration is determined based on the packaging information of some waves.

[0027] In a second aspect, the present disclosure also provides a method for constructing a wave management model, including:

[0028] Determine the wave information of each wave; the wave information includes the delivery time;

[0029] A wave management model is constructed by taking wave information as input data and minimizing the number of waves as the model objective; the wave management model is used to adjust the outbound delivery time of at least some waves in each wave according to predefined constraints, and output wave merging rules according to the adjusted outbound delivery time; wherein the constraints include transportation preparation efficiency constraints and packaging efficiency constraints.

[0030] In a third aspect, an embodiment of the present disclosure provides a wave management device, including:

[0031] Determination module, used to determine the outbound time of each wave;

[0032] An adjustment module, used for adjusting the outbound time of at least some waves in each wave according to predefined constraints; wherein the constraints include transportation preparation efficiency constraints and packaging efficiency constraints;

[0033] The merging module is used to merge waves according to the adjusted delivery time.

[0034] In a fourth aspect, the embodiments of the present disclosure further provide a wave management model construction device, including:

[0035] The wave module is used to determine the wave information of each wave; the wave information includes the outbound time;

[0036] A construction module is used to construct a wave management model using wave information as input data and minimizing the number of waves as a model objective; the wave management model is used to adjust the outbound delivery time of at least some waves in each wave according to predefined constraints, and output wave merging rules according to the adjusted outbound delivery time; wherein the constraints include transportation preparation efficiency constraints and packaging efficiency constraints.

[0037] In a fifth aspect, an embodiment of the present disclosure further provides an electronic device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the computer device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the above-mentioned first aspect, or the steps in any optional implementation of the first aspect are performed.

[0038] In a sixth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned first aspect, or any optional implementation of the first aspect are executed.

[0039] In a seventh aspect, an embodiment of the present disclosure further provides a computer program product, including a computer program, which implements the method of any of the above embodiments when executed by a processor.

[0040] Any of the above aspects or any implementation methods of any of the aspects, by adjusting the outbound time of at least some of the waves in each wave, and merging the waves according to the adjusted outbound time, the existence of redundant waves is effectively reduced, the efficiency of picking according to the waves is improved, and the logistics operation cost is reduced. In addition, by introducing constraints, when adjusting the outbound time of some waves, the influence of multiple factors on the waves can be considered, so that the merged waves can be more suitable for actual operation scenarios, and the situation of falling into a local optimal solution due to considering a single factor can also be avoided. The constraints can include transportation preparation efficiency constraints and packaging efficiency constraints. By introducing transportation preparation efficiency constraints, it can be ensured that after adjusting the outbound time, the transportation preparation pressure of the wave will not be too large, thereby avoiding the confusion caused by too tight transportation preparation time; by introducing packaging efficiency constraints, it is ensured that the orders in the wave can be shipped out after packaging is completed, thereby ensuring the orderliness and standardization of the process from packaging to shipping to transportation of the wave.

[0041] The effects of the wave management device, wave management model building device, electronic device and storage medium mentioned above are described in the description of the wave management method mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the following is a brief introduction to the drawings required for use in the embodiments. The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments consistent with the present disclosure and are used together with the specification to illustrate the technical solutions of the present disclosure. It should be understood that the following drawings only illustrate certain embodiments of the present disclosure and should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can also be obtained based on these drawings without creative work.

[0043] Figure 1 A flow chart of a wave management method provided by an embodiment of the present disclosure is shown;

[0044] Figure 2 A flow chart of a wave management model construction method provided by an embodiment of the present disclosure is shown;

[0045] Figure 3 A schematic diagram of a process of constructing a wave management model provided by an embodiment of the present disclosure is shown;

[0046] Figure 4 A schematic diagram of a wave management device provided by an embodiment of the present disclosure is shown;

[0047] Figure 5 A schematic diagram of a wave management model building device provided by an embodiment of the present disclosure is shown;

[0048] Figure 6 An exemplary system architecture is shown in which embodiments of the present disclosure may be applied;

[0049] Figure 7 A schematic diagram of the structure of a computer system of a terminal device or a server used to implement an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical scheme and advantages of the embodiments of the present disclosure clearer, the technical scheme in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all of the embodiments. The components of the embodiments of the present disclosure generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present disclosure provided in the drawings is not intended to limit the scope of the present disclosure for protection, but merely represents the selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present disclosure.

[0051] It should be noted that in the technical solution of the present invention, the collection, use, storage, sharing and transfer of user personal information involved are in compliance with the provisions of relevant laws and regulations, and it is necessary to inform the user and obtain the user's consent or authorization. When applicable, the user's personal information is de-identified and / or anonymized and / or encrypted.

[0052] The raising of the above problems and the solutions are the results obtained by the inventor after practice and careful research. The discovery process of the above problems and the solutions proposed for the above problems should be the contributions made by the inventor to the present disclosure during the disclosure process.

[0053] The technical solutions in the present disclosure will be clearly and completely described below in conjunction with the drawings in the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all of the embodiments. The components of the present disclosure generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present disclosure provided in the drawings is not intended to limit the scope of the present disclosure claimed for protection, but merely represents the selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present disclosure.

[0054] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0055] To facilitate understanding of the present embodiment, a wave management method and a wave management model construction method disclosed in the present embodiment are first introduced in detail. The execution subject of the wave management method and the wave management model construction method provided in the present embodiment is generally a computer device with certain computing capabilities, and the computer device includes, for example: a terminal device or a server or other processing device, and the terminal device can be a user equipment (User Equipment, UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a personal digital assistant (Personal Digital Assistant, PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, etc. In some possible implementations, the wave management method and the wave management model construction method can be implemented by a processor calling a computer-readable instruction stored in a memory.

[0056] See also Figure 1 FIG. 1 is a flow chart of a wave management method provided by an embodiment of the present disclosure, and the method includes S101 to S103, wherein:

[0057] S101: Determine the delivery time of each wave.

[0058] In logistics and supply chain management, a wave refers to a group of orders that are processed in batches within a certain period of time. When dividing waves, different division rules are usually set according to needs; for example, they can be divided according to the degree of priority, and orders with the same degree of priority can be divided into one wave, or they can be divided according to the type of items in the order, and orders with the same item type can be divided into one wave, etc.

[0059] In the embodiment of the present disclosure, the waves can be divided according to the combination of the order deadline and the delivery time of the order, that is, the orders generated before the same order deadline and with the same delivery time are divided into the same wave. Among them, the order deadline means that the order time corresponding to the order must be before a certain time point, which is the order deadline; the delivery time refers to the time point when the order needs to be processed in the warehouse and prepared for transportation. For example, assuming that the order deadline is 2 pm and the delivery time is 6 pm, then the order completed before 2 pm and the delivery time is 6 pm will be divided into the same wave; and the order that is also completed before 2 pm but the delivery time is 7 pm will be divided into another wave. It should be noted that the above wave division rule is only a possible implementation method in the embodiment of the present disclosure. As mentioned above, the waves can also be divided according to multiple dimensions such as priority and item type. The embodiment of the present disclosure does not make specific restrictions on this, and it is subject to the ability to achieve its function. In addition, when there are multiple order deadlines in a natural day, orders placed between the previous order deadline and the current order deadline can be divided into batches, and orders before the previous order deadline are no longer considered.

[0060] When each wave is determined, the corresponding outbound time of each wave can be determined. If the outbound time corresponding to the orders in the same wave is different, the outbound time of the wave can be determined according to the division rules when dividing the waves. For example, assuming that the wave division is based on the item type of the order, for the wave whose item type is fresh products, the corresponding outbound time can be determined as the outbound time of the wave based on the processing time and historical experience corresponding to the fresh products. Alternatively, the outbound time of the wave can also be determined based on the median, mode, etc. of the outbound time of the orders in the wave; when determining the outbound time of the wave, it can also be taken into account according to the operating efficiency of the current warehouse and the timeliness requirements of the order, so as to obtain a more reasonable wave outbound time. It should be noted that the disclosed embodiment does not specifically limit the method for determining the outbound time of the wave, and its function can be realized.

[0061] S102: adjusting the outbound time of at least some of the waves according to predefined constraints; wherein the constraints include transportation preparation efficiency constraints and packaging efficiency constraints.

[0062] In this step, after the delivery time of each wave is determined, the delivery time of at least part of the waves can be adjusted according to the predefined constraints, thereby effectively reducing the redundant waves in the current wave.

[0063] In the disclosed embodiment, the introduction of conditional constraints can take into account the impact of multiple factors on the waves when adjusting the outbound time of some waves, thereby making the merged waves more suitable for actual operation scenarios, and also avoiding the situation of falling into a local optimal solution due to considering a single factor. The constraints can include transportation preparation efficiency constraints and packaging efficiency constraints. By introducing the transportation preparation efficiency constraints, it can be ensured that after adjusting the outbound time, the transportation preparation pressure of the wave will not be too large, thereby avoiding the confusion caused by too tight transportation preparation time; by introducing the packaging efficiency constraints, it is ensured that the orders in the wave can be shipped out after packaging is completed, thereby ensuring the orderliness and standardization of the process from packaging to outbound to transportation of the wave.

[0064] In a possible implementation, in addition to the above-mentioned packaging efficiency constraints and transportation preparation efficiency constraints, the constraints may also include inventory availability constraints, human resource constraints, storage space constraints, adjustment times constraints, etc. Among them, the warehouse availability constraint can ensure that when adjusting the outbound time, the required inventory is ready and available to avoid orders not being able to be shipped on time due to insufficient inventory; the human resource constraint can take into account the available human resources in the warehouse (such as packers, sorters, etc.) to ensure that when adjusting the outbound time of a wave, it will not exceed the processing capacity of the warehouse staff; the storage space constraint can take into account the space capacity in the warehouse to ensure that when adjusting the outbound time, there will be no accumulation of items in the warehouse or insufficient space.

[0065] It should be noted that the above examples of constraints are only used as possible implementation methods of the embodiments of the present disclosure and do not constitute improper limitations on the present invention. In practical applications, any constraints can be set according to actual needs to constrain the adjustment of the departure time, such as transportation vehicle scheduling constraints, delivery time constraints, etc. The embodiments of the present disclosure do not make specific limitations on this, and the ability to achieve its functions shall prevail.

[0066] In the embodiment of the present disclosure, any two waves that meet the preset conditions can be first screened from the waves. When these two waves meet the transportation preparation efficiency constraints and the packaging efficiency constraints, the outbound time of one of the waves can be adjusted to align with the outbound time of the other wave.

[0067] In a possible implementation, the later waves may be merged forward to compress the packaging time; specifically, according to predefined constraints, the outbound time of at least some waves in each wave is adjusted, including: selecting the first wave and the second wave that meet the first preset condition from each wave; the first preset condition includes: the outbound time of the first wave is later than the outbound time of the second wave, and the first reference time of the first wave in the historical period is earlier than the outbound time of the second wave; in response to the first wave and the second wave satisfying the transportation preparation efficiency constraint and the packaging efficiency constraint, the outbound time of the first wave is adjusted to the outbound time of the second wave; wherein the first reference time is determined based on the packaging completion time of the first wave in the historical period; the packaging completion time is determined based on the packaging information of the first wave; the packaging efficiency constraint includes: the outbound time of the second wave is later than the packaging completion time of the first wave, and the transportation preparation efficiency constraint includes: the transportation start time of the first wave is later than the transportation start time of the second wave.

[0068] In a specific implementation, the preset conditions may include multiple conditions, and polling may be performed according to the multiple conditions, thereby filtering out the waves that meet the preset conditions. Specifically, the first wave and the second wave may be filtered out according to the first preset condition, and the first preset condition here may be that the outbound time of the first wave is later than that of the second wave, and the reference time of the first wave in the historical period is earlier than the outbound time of the second wave. The reference time here may be determined according to the packaging completion time of the first wave in the historical period, for example, the reference time may be set to the 90th percentile of the distribution corresponding to the packaging completion time of the first wave every day in the historical 30 days, that is, in the past 30 days, there are more than or equal to 27 days in which the first wave completes packaging before the reference time. Alternatively, the reference time may be set to the median of the packaging completion time of the first wave in the historical 20 days, and so on. It should be noted that the embodiment of the present disclosure does not specifically limit the length of the historical period and the method for determining the reference time, and shall be subject to the realization of its function.

[0069] In a specific implementation, after the first wave and the second wave that meet the first preset condition are screened, it can be determined whether they meet the transportation preparation efficiency constraint and the packaging efficiency constraint. Specifically, the packaging efficiency constraint can be that the outbound time of the second wave is later than the outbound time of the first wave, thereby ensuring that the orders originally in the first wave have sufficient packaging time before outbound; the transportation preparation efficiency constraint can be that the transportation start time of the first wave is later than the transportation start time of the second wave, thereby ensuring that the orders originally in the first wave have sufficient time for picking, loading and other steps after adjusting the outbound time.

[0070] In addition to the transport preparation efficiency constraints and packaging efficiency constraints, it is also possible to determine whether the first wave and the second wave meet the inventory availability constraints, human resource constraints, storage space constraints, transport vehicle scheduling constraints, delivery time constraints, adjustment number constraints, etc.; when it is determined that the first wave and the second wave meet all the constraints, the outbound time of the first wave can be adjusted to the outbound time of the second wave.

[0071] In a possible implementation, the latter waves can also be merged forward to compress the packaging time and transportation preparation time. Specifically, according to the predefined constraints, the outbound time of at least some waves in each wave is adjusted, including: selecting the third wave and the fourth wave that meet the second preset condition from each wave; the second preset condition includes: the order deadline of the third wave is later than the order deadline of the fourth wave, the packaging time of the third wave is less than the packaging time of the fourth wave, and the packaging completion time of the fourth wave is earlier than the transportation start time of the third wave; in response to the third wave and the fourth wave meeting the transportation preparation efficiency constraint and the packaging efficiency constraint, the outbound time of the fourth wave is adjusted to the outbound time of the third wave; wherein the packaging time and the packaging completion time are determined based on the packaging information of the third wave and the fourth wave; the packaging efficiency constraint includes: the outbound time of the third wave is later than the packaging completion time of the fourth wave, and the transportation preparation efficiency constraint includes: the transportation start time of the fourth wave is later than the transportation start time of the third wave.

[0072] In a specific implementation, the preset conditions may also include a second preset condition, and the third wave and the fourth wave may be screened according to the second preset condition. The second preset condition here may be that the order deadline of the third wave is later than the order deadline of the fourth wave, the packaging time of the third wave is less than the packaging time of the fourth wave, and the packaging completion time of the fourth wave is earlier than the transportation start time of the third wave. In order to ensure that the merged fourth wave can prepare for transportation in time, it may be stipulated that the time difference between the packaging completion time of the fourth wave and the transportation start time of the third wave must be greater than or equal to a defined threshold before the fourth wave and the third wave can be regarded as waves that meet the second preset condition. The threshold here may be determined based on historical experience or the number of orders and order information in the fourth wave. For example, it may be set to 15 minutes, 30 minutes, etc. according to actual conditions, and the embodiments of the present disclosure do not specifically limit this.

[0073] In the specific implementation, after screening the third and fourth waves that meet the second preset conditions, it is possible to further determine whether the third and fourth waves meet the transportation preparation efficiency constraints and packaging efficiency constraints. The specific steps are similar to the process described above and will not be repeated here. In addition to the transportation preparation efficiency constraints and packaging efficiency constraints, it is also possible to determine whether the third and fourth waves meet inventory availability constraints, human resource constraints, storage space constraints, transportation vehicle scheduling constraints, delivery time constraints, adjustment number constraints, etc.; when it is determined that the third and fourth waves meet all constraints, the outbound time of the fourth wave can be adjusted to the outbound time of the third wave.

[0074] In a possible implementation, the outbound time of at least some of the waves is adjusted according to predefined constraints, including: selecting a fifth wave that meets a third preset condition from each wave; the third preset condition includes: the average daily order quantity in the historical period is less than a preset threshold; in response to the fifth wave satisfying the transportation preparation efficiency constraint and the packaging efficiency constraint, adjusting the outbound time of the fifth wave to the outbound time of the sixth wave; wherein the sixth wave is before the fifth wave and adjacent to the fifth wave; the packaging efficiency constraint includes: the outbound time of the sixth wave is later than the packaging completion time of the fifth wave, and the transportation preparation efficiency constraint includes: the transportation start time of the fifth wave is later than the transportation start time of the sixth wave.

[0075] In a specific implementation, the fifth wave can be obtained by screening according to the third preset condition. The third preset condition here can be that the average daily total number of orders in the historical period is less than the preset threshold, so that the wave containing too few orders can be merged with other waves. Specifically, if the order deadline of the fifth wave is earlier than the delivery time of the previous wave, then the delivery time of the fifth wave can be adjusted to the delivery time of the previous wave (that is, the sixth wave). The reason for the adjustment is that the number of orders contained in the fifth wave itself is very small, and the time spent on completing the packaging of these orders is not much. Therefore, the delivery time of the fifth wave can be adjusted when the order deadline of the fifth wave is earlier than the delivery time of the sixth wave. The threshold of the average daily total number of orders here can be set to 10 orders / day, 8 orders / day, etc., and the embodiment of the present disclosure does not make specific restrictions on this. If there is no wave before the fifth wave, its delivery time can be adjusted.

[0076] In the specific implementation, after obtaining the fifth and sixth waves that meet the third preset condition, it is possible to further determine whether the fifth and sixth waves meet the transportation preparation efficiency constraints and packaging efficiency constraints. The specific steps are similar to the process described above and will not be repeated here. In addition to the transportation preparation efficiency constraints and packaging efficiency constraints, it is also possible to determine whether the fifth and sixth waves meet the inventory availability constraints, human resource constraints, storage space constraints, transportation vehicle scheduling constraints, delivery time constraints, adjustment number constraints, etc.; when it is determined that the fifth and sixth waves meet all constraints, the outbound time of the fifth wave can be adjusted to the outbound time of the sixth wave.

[0077] In one possible implementation, the delivery time of at least some of the waves in each wave is adjusted according to predefined constraints, including: determining the expedited waves in each wave and the target wave with the largest number of orders in each expedited wave; in response to the target wave and other waves satisfying the transportation preparation efficiency constraint and the packaging efficiency constraint, adjusting the delivery time of other waves to the delivery time of the target wave; the other waves are the expedited waves in each expedited wave except the target wave; wherein the packaging efficiency constraint includes: the delivery time of the target wave is later than the delivery time of other waves, and the transportation preparation efficiency constraint includes: the transportation start time of the delivery time of other waves is later than the transportation start time of the target wave.

[0078] In a specific implementation, if the proportion of expedited orders in a wave exceeds a preset ratio threshold, then the wave can be regarded as an expedited wave. Expedited orders here can include same-day orders, fresh food delivery orders, special time-limited orders, etc. For example, if the proportion of expedited orders in a wave reaches 99%, then the wave can be regarded as an expedited wave. It should be noted that the 99% ratio threshold here is only used as an example of a possible implementation of the embodiment of the present disclosure, and does not constitute an improper limitation of the present invention.

[0079] In a specific implementation, after determining each expedited wave in the wave, the expedited wave with the largest number of orders can be selected as the target wave, and the expedited waves other than the target wave can be used as other waves. When the target wave and other waves meet the transportation preparation efficiency constraint and the packaging efficiency constraint, the delivery time of other waves can be adjusted to the delivery time of the target wave. Alternatively, it is also possible to determine how the delivery time of other waves should be adjusted based on the first preset condition, the second preset condition, and the third preset condition.

[0080] The method for judging whether the target wave and other waves meet the transportation preparation efficiency constraint and the packaging efficiency constraint is similar to the method described above and will not be repeated here. In addition to the transportation preparation efficiency constraint and the packaging efficiency constraint, it is also possible to judge whether the target wave and other waves meet the inventory availability constraint, human resource constraint, storage space constraint, transportation vehicle scheduling constraint, delivery time constraint, adjustment number constraint, etc.; when it is determined that other waves and the target wave meet all constraints, the outbound time of other waves can be adjusted to the outbound time of the target wave.

[0081] In a possible implementation, in addition to merging the later waves forward, the earlier waves can also be merged backward. In a specific implementation, the waves can be aggregated according to the transportation start time corresponding to different waves, and the outbound time of each group of aggregated waves can be unified with the outbound time of the wave with a later transportation start time. It should be noted that when adjusting the outbound time of the wave according to the transportation start time, it is also necessary to meet the transportation preparation efficiency constraints and packaging efficiency constraints. The steps are similar to the steps described above and will not be repeated here. In addition to the transportation preparation efficiency constraints and packaging efficiency constraints, inventory availability constraints, human resource constraints, storage space constraints, transportation vehicle scheduling constraints, delivery time constraints, adjustment number constraints, etc. can also be considered as factors; when all constraints are met, the outbound time of some waves can be adjusted.

[0082] In another possible implementation, special waves in the waves may be screened according to the fourth preset condition. The fourth screening condition here may be that the order deadline and the delivery time span two days and the delivery time is after 2 a.m. on the second day of the order deadline; for such special waves, in order to ensure that the timeliness requirements of its orders can be met, the delivery time of such special waves may not be adjusted.

[0083] S103: Merge the waves according to the adjusted delivery time.

[0084] In this step, a wave merging rule can be determined according to the adjusted delivery time of some waves, and the wave merging rule can be used to guide the merging of waves.

[0085] In the disclosed embodiment, after adjusting the outbound delivery time of some waves, the order cut-off time of these waves can also be adjusted, so as to increase the number of orders in the wave, thereby improving the efficiency of picking according to the wave and reducing the logistics operation cost. Specifically, according to the adjusted outbound delivery time of some waves and the corresponding packaging time of some waves, the order cut-off time of some waves is adjusted; wherein the packaging time is determined based on the packaging information of some waves.

[0086] In a specific implementation, after adjusting the delivery time of some waves, the order cut-off time of these waves with adjusted delivery time can be adjusted to the time point corresponding to the difference between the adjusted delivery time and the original packaging time. For example, assuming that the adjusted delivery time of wave A is 6 pm, the original packaging time of the wave is 2 hours, and the original order cut-off time is 2 pm; then the order cut-off time of wave A can be adjusted from 2 pm to 4 pm. This can increase the number of orders in wave A, which helps to improve the wave processing efficiency; in addition, by adjusting the order cut-off time, the originally scattered orders can be merged into the same wave for processing, thereby reducing the number of vehicle dispatch and transportation, and reducing logistics operation costs.

[0087] Alternatively, after adjusting the delivery time of some waves, the order cut-off time of the wave can also be adjusted according to the change of the real-time order quantity. For example, when the order quantity of a wave is small, the order cut-off time of the wave can be extended to increase the order quantity in the wave.

[0088] See also Figure 2 As shown, it is a flow chart of the wave management model construction method provided by the embodiment of the present disclosure, and the method includes S201-S202, wherein:

[0089] S201: Determine the wave information of each wave; the wave information includes the shipment time.

[0090] In this step, the wave information of each wave can be determined as input data for building a wave management model. The wave information may include the wave's outbound time, order deadline, transportation start time, packaging information, etc., which is not specifically limited in the embodiment of the present disclosure. In a specific implementation, the method for determining the wave information is similar to the method described in S101, and will not be repeated here.

[0091] S202: Using wave information as input data and minimizing the number of waves as a model objective, a wave management model is constructed; the wave management model is used to adjust the outbound delivery time of at least some waves in each wave according to predefined constraints, and output wave merging rules according to the adjusted outbound delivery time; wherein the constraints include transportation preparation efficiency constraints and packaging efficiency constraints.

[0092] Figure 3 The following is a flow chart of a method for constructing a wave management model provided by an embodiment of the present disclosure. Figure 3As shown, the wave information (including order deadline, delivery time, order quantity, order flow, timeliness requirement information, transportation schedule information, etc.) can be used as input data, and the minimum number of waves can be used as the model goal to build a wave management model. In addition, when building a wave management model, constraints can also be taken into account, so that the wave merging rules output by the constructed wave management model can be more suitable for actual application scenarios, which helps to improve the availability and rationality of the wave merging rules output by the wave management model.

[0093] In the embodiment of the present disclosure, when constructing a wave management model, the model goal may be to minimize the number of waves after merging, which can be specifically expressed by the following formula:

[0094] ;

[0095] in, It indicates whether the adjusted delivery time of wave i exists, and I represents the delivery time set of existing waves.

[0096] In the embodiment of the present disclosure, when constructing a wave management model, the packaging efficiency constraint can be described as the packaging completion time of wave i being less than the adjusted outbound time of wave i, which can be specifically expressed by the following formula:

[0097] ;

[0098] in, Indicates the 90th percentile of the packaging completion time of wave i in the historical period, represents the adjusted delivery time of wave i; I represents the delivery time set of the existing wave. It should be noted that The specific meaning of is determined by the specific content of the packaging efficiency constraint. When the packaging efficiency constraint is that the 90% quantile of the daily packaging completion time of wave i in the historical period is less than the outbound time of the wave merged with wave i, Then it can represent the 90% percentile of the packaging completion time of i in the historical period. The specific content of the packaging efficiency constraint here can be adjusted according to the needs of actual applications, such as the length of the historical period, the percentile value, etc. can be adjusted according to the needs, and the embodiments of the present disclosure do not make specific limitations on this.

[0099] In the embodiment of the present disclosure, the transport preparation efficiency constraint can be described as wave i being merged into wave j, and the transport start time of wave i minus the adjusted outbound time of wave i is greater than or equal to the transport start time of wave j minus the outbound time of wave j, which can be specifically expressed by the following formula:

[0100] ;

[0101] in, Indicates the transportation start time of wave i, Indicates the adjusted delivery time of wave i. Indicates whether the delivery time of wave i is adjusted to the delivery time of wave j. If not, then ; represents the transportation start time of wave j, Indicates the adjusted delivery time of wave j.

[0102] In the embodiment of the present disclosure, when constructing the wave management model, the delivery time of wave k may also be defined according to the following formula:

[0103] ;

[0104] in, Indicates whether the delivery time of wave k is adjusted to the delivery time of wave j. If not, then ; represents the adjusted delivery time of wave k; I represents the set of delivery times of the existing waves; Indicates the original delivery time of wave k. In addition, if the delivery time of wave k is adjusted to the delivery time of other waves, and the delivery time of other waves is not adjusted to the delivery time of the original wave k, then the adjusted delivery time of wave k does not exist, which can be specifically expressed by the following formula:

[0105] ;

[0106] ;

[0107] in, Indicates whether the adjusted delivery time of wave k exists. When , it means that the adjusted delivery time of wave k exists. It means that the adjusted delivery time of wave k does not exist.

[0108] It should be noted that the constraints of the wave management model, in addition to the transportation preparation efficiency constraints and packaging efficiency constraints, can also include inventory availability constraints, human resource constraints, storage space constraints, transportation vehicle scheduling constraints, delivery time constraints, adjustment number constraints, etc.; this disclosure does not make specific restrictions on this, subject to the ability to achieve its functions. As a limit on the number of adjustments, it means that the delivery time of wave i can only be adjusted once, thereby avoiding repeated adjustments to the delivery time of the same wave, which leads to confusion in the wave merging rules output by the wave management model and difficulty in guiding actual operations.

[0109] Another possible implementation method, in addition to constructing a wave management model, can also train a classification model to classify each wave, and use the classification results output as the final wave merging rules to guide the merging of waves. For the method of training a classification model, in actual applications, suitable input data, training objectives, and constraints can be set according to actual needs and circumstances. The embodiments of this disclosure do not make specific limitations, and the functions that can be achieved shall prevail.

[0110] In the disclosed embodiment, after the construction of the wave management model is completed, the waves can be merged according to the wave merging rules output by the wave management model, so as to increase the number of orders in each wave and reduce redundant operations, thereby improving the efficiency of picking according to waves. In addition, originally scattered orders can be merged into the same wave for processing, thereby reducing the number of vehicle dispatching and transportation, and reducing logistics operation costs.

[0111] According to a third aspect of the embodiment of the present disclosure, Figure 4 As shown, a wave management device 400 is provided, including:

[0112] Determination module 401, used to determine the delivery time of each wave;

[0113] An adjustment module 402 is used to adjust the outbound time of at least some of the waves according to predefined constraints; wherein the constraints include transportation preparation efficiency constraints and packaging efficiency constraints;

[0114] The merging module 403 is used to merge the waves according to the adjusted delivery time.

[0115] Optionally, the adjustment module 402 is specifically configured to:

[0116] Selecting the first wave and the second wave that meet the first preset condition from each wave; the first preset condition includes: the delivery time of the first wave is later than the delivery time of the second wave, and the first reference time of the first wave in the historical period is earlier than the delivery time of the second wave;

[0117] In response to the first wave and the second wave satisfying the transportation preparation efficiency constraint and the packaging efficiency constraint, adjusting the delivery time of the first wave to the delivery time of the second wave;

[0118] Among them, the first reference time is determined based on the packaging completion time of the first wave in the historical period; the packaging completion time is determined based on the packaging information of the first wave; the packaging efficiency constraints include: the outbound time of the second wave is later than the packaging completion time of the first wave, and the transportation preparation efficiency constraints include: the transportation start time of the first wave is later than the transportation start time of the second wave.

[0119] Optionally, the adjustment module 402 is specifically configured to:

[0120] Selecting the third wave and the fourth wave that meet the second preset condition from each wave; the second preset condition includes: the order deadline of the third wave is later than the order deadline of the fourth wave, the packing time of the third wave is shorter than the packing time of the fourth wave, and the packing completion time of the fourth wave is earlier than the transportation start time of the third wave;

[0121] In response to the third wave and the fourth wave satisfying the transportation preparation efficiency constraint and the packaging efficiency constraint, adjusting the outbound time of the fourth wave to the outbound time of the third wave;

[0122] Among them, the packing duration and the packing completion time are determined based on the packing information of the third wave and the fourth wave; the packing efficiency constraints include: the outbound time of the third wave is later than the packing completion time of the fourth wave; the transportation preparation efficiency constraints include: the transportation start time of the fourth wave is later than the transportation start time of the third wave.

[0123] Optionally, the adjustment module 402 is specifically configured to:

[0124] Selecting a fifth wave that meets a third preset condition from each wave; the third preset condition includes: the average daily order quantity in the historical period is less than a preset threshold;

[0125] In response to the fifth wave satisfying the transportation preparation efficiency constraint and the packaging efficiency constraint, adjusting the outbound time of the fifth wave to the outbound time of the sixth wave;

[0126] Among them, the sixth wave is before the fifth wave and adjacent to the fifth wave; the packaging efficiency constraints include: the outbound time of the sixth wave is later than the packaging completion time of the fifth wave; the transportation preparation efficiency constraints include: the transportation start time of the fifth wave is later than the transportation start time of the sixth wave.

[0127] Optionally, the adjustment module 402 is specifically configured to:

[0128] Determine the expedited wave in each wave and the target wave with the largest number of orders in each expedited wave;

[0129] In response to the target wave and other waves satisfying the transport preparation efficiency constraint and the packaging efficiency constraint, adjusting the delivery time of other waves to the delivery time of the target wave; other waves are expedited waves among the expedited waves except the target wave;

[0130] Among them, the packaging efficiency constraints include: the outbound time of the target wave is later than the outbound time of other waves, and the transportation preparation efficiency constraints include: the transportation start time of the outbound time of other waves is later than the transportation start time of the target wave.

[0131] Optionally, the adjustment module 402 is further configured to:

[0132] Adjust the order cut-off time of some waves according to the adjusted delivery time of some waves and the corresponding packaging time of some waves;

[0133] The packaging duration is determined based on the packaging information of some waves.

[0134] According to a fourth aspect of the embodiments of the present disclosure, Figure 5 As shown, a wave management model building device 500 is provided, comprising:

[0135] The wave module 501 is used to determine the wave information of each wave; the wave information includes the delivery time;

[0136] Construction module 502 is used to construct a wave management model using wave information as input data and minimizing the number of waves as a model objective; the wave management model is used to adjust the outbound delivery time of at least some waves in each wave according to predefined constraints, and output wave merging rules according to the adjusted outbound delivery time; wherein the constraints include transportation preparation efficiency constraints and packaging efficiency constraints.

[0137] According to a fifth aspect of an embodiment of the present disclosure, there is provided an electronic device for wave management and wave management model construction, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by one or more processors, the one or more processors implement the method provided by the first aspect of the embodiment of the present invention.

[0138] According to a sixth aspect of an embodiment of the present disclosure, a computer-readable medium is provided, on which a computer program is stored, and when the program is executed by a processor, the method provided by the first aspect of the embodiment of the present disclosure is implemented.

[0139] According to a seventh aspect of an embodiment of the present invention, there is provided a computer program product, including a computer program, which implements the method of any of the above embodiments when executed by a processor.

[0140] Figure 6 An exemplary system architecture 600 is shown to which the wave management method and the wave management model building method or the wave management device and the wave management model building device implemented by the present disclosure can be applied.

[0141] like Figure 6As shown, system architecture 600 may include terminal devices 601, 602, 603, network 604 and server 605. Network 604 is used to provide a medium for communication links between terminal devices 601, 602, 603 and server 605. Network 604 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0142] The user can use the terminal devices 601, 602, 603 to interact with the server 605 through the network 604 to receive or send messages, etc. Various communication client applications can be installed on the terminal devices 601, 602, 603, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only for example).

[0143] The terminal devices 601 , 602 , and 603 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, and desktop computers, etc.

[0144] The server 605 may be a server that provides various services, such as a backend management server (only an example) that provides support for shopping websites browsed by users using the terminal devices 601, 602, and 603. The backend management server may process the received wave management request and wave management model building request, and feed back the processing result (only an example) to the terminal device.

[0145] It should be noted that the wave management method and the wave management model construction method provided in the embodiment of the present invention are generally executed by the server 605, and accordingly, the wave management device and the wave management model construction device are generally set in the server 605. The wave management method and the wave management model construction method provided in the embodiment of the present invention can also be executed by the terminal devices 601, 602, and 603, and accordingly, the wave management device and the wave management model construction device can be set in the terminal devices 601, 602, and 603.

[0146] It should be understood that Figure 6 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0147] It can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present invention, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal can take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0148] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0149] The modules involved in the embodiments of the present invention may be implemented by software or hardware. The modules described may also be set in a processor. For example, a processor includes a determination module, an adjustment module, and a merging module. The names of these modules do not limit the modules themselves in some cases. For example, the determination module may also be described as a "module for determining the outbound time of each wave".

[0150] As another aspect, the present invention further provides a computer-readable medium, which may be included in the device described in the above embodiment; or may exist independently without being assembled into the device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by a device, the device implements the following method: determining the outbound time of each wave; adjusting the outbound time of at least part of each wave according to predefined constraints; wherein the constraints include transportation preparation efficiency constraints and packaging efficiency constraints; merging the waves according to the adjusted outbound time.

[0151] Finally, it should be noted that the above embodiments are only specific implementation methods of the present disclosure, which are used to illustrate the technical solutions of the present disclosure, rather than to limit them. The protection scope of the present disclosure is not limited thereto. Although the present disclosure is described in detail with reference to the above embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above embodiments within the technical scope disclosed in the present disclosure, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A wave management method, characterized in that: include: Determine the delivery time of each wave; According to predefined constraints, the outbound time of at least some of the waves is adjusted; wherein the constraints include transportation preparation efficiency constraints and packaging efficiency constraints; Merge the waves according to the adjusted delivery time.

2. The method according to claim 1, characterized in that Adjust the outbound time of at least some of the waves according to the predefined constraints, including: Selecting a first wave and a second wave that meet a first preset condition from the waves; the first preset condition includes: a delivery time of the first wave is later than a delivery time of the second wave, and a first reference time of the first wave in a historical period is earlier than a delivery time of the second wave; In response to the first wave and the second wave satisfying the transport preparation efficiency constraint and the packaging efficiency constraint, adjusting the delivery time of the first wave to the delivery time of the second wave; Among them, the first reference time is determined based on the packaging completion time of the first wave in the historical period; the packaging completion time is determined based on the packaging information of the first wave; the packaging efficiency constraint includes: the outbound time of the second wave is later than the packaging completion time of the first wave, and the transportation preparation efficiency constraint includes: the transportation start time of the first wave is later than the transportation start time of the second wave.

3. The method according to claim 1, characterized in that Adjust the outbound time of at least some of the waves according to the predefined constraints, including: A third wave and a fourth wave that meet a second preset condition are selected from the waves; the second preset condition includes: the order deadline of the third wave is later than the order deadline of the fourth wave, the packing time of the third wave is shorter than the packing time of the fourth wave, and the packing completion time of the fourth wave is earlier than the transportation start time of the third wave; In response to the third wave and the fourth wave satisfying the transport preparation efficiency constraint and the packaging efficiency constraint, adjusting the outbound time of the fourth wave to the outbound time of the third wave; Among them, the packaging duration and the packaging completion time are determined based on the packaging information of the third wave and the fourth wave; the packaging efficiency constraint includes: the outbound time of the third wave is later than the packaging completion time of the fourth wave; the transportation preparation efficiency constraint includes: the transportation start time of the fourth wave is later than the transportation start time of the third wave.

4. The method according to claim 1, characterized in that: Adjust the outbound time of at least some of the waves according to the predefined constraints, including: Selecting a fifth wave that meets a third preset condition from the waves; the third preset condition includes: the average daily order quantity in the historical period is less than a preset threshold; In response to the fifth wave satisfying the transport preparation efficiency constraint and the packaging efficiency constraint, adjusting the shipment time of the fifth wave to the shipment time of the sixth wave; Among them, the sixth wave is located before the fifth wave and is adjacent to the fifth wave; the packaging efficiency constraint includes: the outbound time of the sixth wave is later than the packaging completion time of the fifth wave; the transportation preparation efficiency constraint includes: the transportation start time of the fifth wave is later than the transportation start time of the sixth wave.

5. The method according to claim 1, characterized in that Adjust the outbound time of at least some of the waves according to the predefined constraints, including: Determine the expedited wave in each wave and the target wave with the largest number of orders in each expedited wave; In response to the target wave and other waves satisfying the transport preparation efficiency constraint and the packaging efficiency constraint, adjusting the delivery time of the other waves to the delivery time of the target wave; the other waves are expedited waves among the expedited waves except the target wave; Among them, the packaging efficiency constraint includes: the outbound time of the target wave is later than the outbound time of other waves, and the transportation preparation efficiency constraint includes: the transportation start time of the outbound time of other waves is later than the transportation start time of the target wave.

6. The method according to claim 1, characterized in that The method further comprises: Adjust the order cut-off time of the partial waves according to the adjusted delivery time of the partial waves and the packaging time corresponding to the partial waves; The packaging duration is determined based on the packaging information of the partial waves.

7. A method for constructing a wave management model, characterized in that: include: Determine the wave information of each wave; the wave information includes the delivery time; A wave management model is constructed by taking the wave information as input data and minimizing the number of waves as the model goal; the wave management model is used to adjust the outbound delivery time of at least some waves in each wave according to predefined constraints, and output wave merging rules according to the adjusted outbound delivery time; wherein the constraints include transportation preparation efficiency constraints and packaging efficiency constraints.

8. A wave management device, characterized in that: include: Determination module, used to determine the outbound time of each wave; An adjustment module, used to adjust the outbound time of at least some waves in each wave according to predefined constraints; wherein the constraints include transportation preparation efficiency constraints and packaging efficiency constraints; The merging module is used to merge waves according to the adjusted delivery time.

9. A wave management model construction device, characterized in that: include: The wave module is used to determine the wave information of each wave; the wave information includes the delivery time; A construction module is used to construct a wave management model using the wave information as input data and minimizing the number of waves as a model objective; the wave management model is used to adjust the outbound delivery time of at least some waves in each wave according to predefined constraints, and output wave merging rules according to the adjusted outbound delivery time; wherein the constraints include transportation preparation efficiency constraints and packaging efficiency constraints.

10. An electronic device, characterized in that: include: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

11. A computer readable medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

12. A computer program product, comprising a computer program, which, when executed by a processor, implements the method according to any one of claims 1 to 7.

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