CN112529494A - Intelligent dynamic order distribution system and method applied to seafood industry - Google Patents
Intelligent dynamic order distribution system and method applied to seafood industry Download PDFInfo
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- CN112529494A CN112529494A CN202011351087.9A CN202011351087A CN112529494A CN 112529494 A CN112529494 A CN 112529494A CN 202011351087 A CN202011351087 A CN 202011351087A CN 112529494 A CN112529494 A CN 112529494A
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Abstract
The application discloses an intelligent dynamic order distribution system and method applied to the seafood industry. The system comprises: the system comprises an order pressure judging module, a logistics price judging module, a logistics timeliness judging module, an order address judging module and a stock judging module; the method comprises the following steps: excluding all warehouses whose order pressures exceed a predefined pressure threshold; configuring a preferred warehouse and a sub-optimal warehouse according to the logistics price and the logistics aging; matching a corresponding warehouse according to the order address, and defining the warehouse as a preferred warehouse; configuring each suboptimal warehouse; it is determined whether the inventory of the preferred warehouse meets the requirements of the order and, if so, the order is associated with the preferred warehouse. The method and the system solve the problem that orders are dispatched according to the optimal principle all over the country, and achieve the maximum efficiency and the lowest cost.
Description
Technical Field
The application relates to the technical field of order management, in particular to an intelligent dynamic order distribution system and method applied to the seafood industry.
Background
At present, the traditional live seafood industry is a special industry in the field of agricultural products, and live seafood is easy to damage, short in quality guarantee period, long in life cycle and basically impossible to standardize. Under the special scenes of 'internet', 'B2C', such as real-time information transmission in millisecond level, data operation and response irregularly purchased in ten million level by a C-end family user, and simultaneous concurrence of multiple channels, multiple varieties and multiple orders, the traditional supply mode and the sale mode cannot be adapted.
In the prior art, a rapid distribution scheme for multi-channel complex orders is not available.
Aiming at the problem that complex orders cannot be distributed quickly in the related art, an effective solution is not provided at present.
Disclosure of Invention
The main purpose of the present application is to provide an intelligent dynamic order distribution system and method applied to the seafood industry, so as to solve the problem that complex orders cannot be quickly distributed in the related art.
In order to achieve the above object, in a first aspect, the present application provides an intelligent dynamic order distribution system applied to seafood industry, including:
the system comprises an order pressure judging module, a logistics price judging module, a logistics timeliness judging module, an order address judging module and a stock judging module;
the order pressure judging module is respectively connected with the logistics price judging module and the logistics timeliness judging module, the logistics price judging module and the logistics timeliness judging module are respectively connected with the order address judging module, and the order address judging module is connected with the stock judging module;
the order pressure judging module is used for judging whether the order pressure in the warehouse exceeds a predefined pressure threshold value, if so, the warehouse is not selected, and if not, the warehouse is taken as an alternative warehouse;
the logistics price judging module is used for judging whether the logistics price meets the requirement of the predefined logistics price, if so, selecting the logistics as an alternative logistics, and if not, not selecting the logistics;
the logistics timeliness judging module is used for judging whether the logistics timeliness meets the predefined logistics timeliness requirement, if the logistics timeliness meets the requirement, the logistics is selected as an alternative logistics, and if the logistics does not meet the requirement, the logistics is not selected;
the order address judging module is used for judging whether the warehouse address is the nearest warehouse to the order address, if so, the warehouse is used as an alternative warehouse, and if not, the warehouse is not selected;
the inventory judging module is used for judging whether the inventory in the warehouse meets the requirement of the order, if so, the warehouse is taken as a standby warehouse, and if not, the warehouse is not selected.
The intelligent dynamic order distribution system applied to the seafood industry further comprises a purchasing cost judgment module connected with the inventory judgment module, and is used for judging purchasing cost in the alternative warehouse aiming at each commodity in the order and selecting the warehouse with the lowest purchasing cost as a delivery warehouse.
The warehouse with the lowest purchasing cost is the warehouse with the lowest sum of the purchasing costs of all commodities in the order.
And selecting a preferred warehouse and a suboptimal warehouse according to a mode specified by a client or randomly in the warehouse which accords with the predefined logistics price and logistics aging by adopting the logistics price judging module and the logistics aging judging module.
And selecting the warehouse with the closest warehouse address and the order address as the preferred warehouse by adopting the order address judging module.
And the nearest warehouse is set with an timeliness threshold value for dispatching, and the actual timeliness effect of logistics dispatching is smaller than the timeliness threshold value for dispatching, namely the nearest warehouse.
In a second aspect, the present application further provides an intelligent dynamic order distribution method applied to the seafood industry, which is implemented by using the intelligent dynamic order distribution system applied to the seafood industry, and includes the following steps:
excluding all warehouses whose order pressures exceed a predefined pressure threshold;
configuring a preferred warehouse and a sub-optimal warehouse according to the logistics price and the logistics aging;
matching a corresponding warehouse according to the order address, and defining the warehouse as a preferred warehouse;
configuring each suboptimal warehouse;
it is determined whether the inventory of the preferred warehouse meets the requirements of the order and, if so, the order is associated with the preferred warehouse.
And judging whether the stock of the preferred warehouse meets the requirement of the order, if the stock of the preferred warehouse does not meet the requirement of the order, judging the stock condition of the suboptimum warehouse again, and if the stock of the suboptimum warehouse meets the requirement of the order, associating the order to the suboptimum warehouse.
And judging the inventory condition of the suboptimum warehouse again, and if the inventory of the suboptimum warehouse does not meet the order requirement, executing each following commodity judgment flow: and circularly judging each commodity in the order, acquiring whether each commodity meets the inventory conditions of the first-choice warehouse and the second-choice warehouse, judging the purchasing cost of each warehouse for the warehouse meeting the conditions, finally acquiring the warehouse meeting the inventory conditions and the lowest cost, and associating the commodity with the warehouse.
In each commodity judging flow, if all commodities are judged circularly and then the remaining commodities do not meet the inventory conditions of the first-choice warehouse and the second-best warehouse, the whole order directly suspends the association of the warehouses.
The beneficial technical effects are as follows:
the method and the device solve the problem that orders are dispatched according to the optimal principle all over the country, realize the maximum efficiency and the lowest cost and enable the user experience to be good.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
FIG. 1 is a schematic block diagram of an intelligent dynamic order distribution system applied to the seafood industry according to an embodiment of the present application;
fig. 2 is a flowchart of an intelligent dynamic order distribution method applied to the seafood industry according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
In addition, the term "plurality" shall mean two as well as more than two.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In a first aspect, the present application provides an intelligent dynamic order distribution system applied in seafood industry, as shown in fig. 1, including:
the system comprises an order pressure judging module, a logistics price judging module, a logistics timeliness judging module, an order address judging module and a stock judging module;
the order pressure judging module is respectively connected with the logistics price judging module and the logistics timeliness judging module, the logistics price judging module and the logistics timeliness judging module are respectively connected with the order address judging module, and the order address judging module is connected with the stock judging module;
the order pressure judging module is used for judging whether the order pressure in the warehouse exceeds a predefined pressure threshold value, if so, the warehouse is not selected, and if not, the warehouse is taken as an alternative warehouse;
the logistics price judging module is used for judging whether the logistics price meets the requirement of the predefined logistics price, if so, selecting the logistics as an alternative logistics, and if not, not selecting the logistics;
the logistics timeliness judging module is used for judging whether the logistics timeliness meets the predefined logistics timeliness requirement, if the logistics timeliness meets the requirement, the logistics is selected as an alternative logistics, and if the logistics does not meet the requirement, the logistics is not selected;
the order address judging module is used for judging whether the warehouse address is the nearest warehouse to the order address, if so, the warehouse is used as an alternative warehouse, and if not, the warehouse is not selected;
the inventory judging module is used for judging whether the inventory in the warehouse meets the requirement of the order, if so, the warehouse is taken as a standby warehouse, and if not, the warehouse is not selected;
the intelligent dynamic order distribution system applied to the seafood industry further comprises a purchasing cost judgment module connected with the inventory judgment module, and is used for judging purchasing cost in the alternative warehouse aiming at each commodity in the order and selecting the warehouse with the lowest purchasing cost as a delivery warehouse. The warehouse with the lowest purchasing cost is the warehouse with the lowest sum of the purchasing costs of all commodities in the order.
And selecting a preferred warehouse and a suboptimal warehouse according to a mode specified by a client or randomly in the warehouse which accords with the predefined logistics price and logistics aging by adopting the logistics price judging module and the logistics aging judging module. The customer designation or random designation is a function of the system that preserves manual intervention for the user.
And selecting the warehouse with the closest warehouse address and the order address as the preferred warehouse by adopting the order address judging module.
And the nearest warehouse is set with an timeliness threshold value for dispatching, and the actual timeliness effect of logistics dispatching is smaller than the timeliness threshold value for dispatching, namely the nearest warehouse.
In a second aspect, the present application further provides an intelligent dynamic order distribution method applied to the seafood industry, as shown in fig. 2, implemented by using the intelligent dynamic order distribution system applied to the seafood industry, including the following steps:
step S1: excluding all warehouses whose order pressures exceed a predefined pressure threshold;
step S2: configuring a preferred warehouse and a sub-optimal warehouse according to the logistics price and the logistics aging; the configuration is to generate manually configuration files based on the actual conditions of the warehouse. The time efficiency of the preferred warehouse and the sub-optimal warehouse is required to be consistent. The sub-optimal warehouse may be multiple. The system will poll between preferred and suboptimal.
Step S3, matching the corresponding warehouse according to the order address, and defining the warehouse as the preferred warehouse; i.e. manually generating the preferred warehouse configuration file according to the actual condition of the warehouse.
Step S4: configuring each suboptimal warehouse; namely, the suboptimal warehouse configuration file is artificially generated according to the actual condition of the warehouse.
Step S5: it is determined whether the inventory of the preferred warehouse meets the requirements of the order and, if so, the order is associated with the preferred warehouse.
Step S6: if the stock of the preferred warehouse does not meet the requirement of the order, judging the stock condition of the second best warehouse again, and if the stock of the second best warehouse meets the requirement of the order, associating the order to the second best warehouse.
Step S7: if the stock of the suboptimal warehouse does not meet the order requirement, executing the following each commodity judgment flow: and circularly judging each commodity in the order, acquiring whether each commodity meets the inventory conditions of the first-choice warehouse and the second-choice warehouse, judging the purchasing cost of each warehouse for the warehouse meeting the conditions, finally acquiring the warehouse meeting the inventory conditions and the lowest cost, and associating the commodity with the warehouse.
In each commodity judging flow, if all commodities are judged circularly and then the remaining commodities do not meet the inventory conditions of the first-choice warehouse and the second-best warehouse, the whole order directly suspends the association of the warehouses.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. The utility model provides an order intelligence dynamic distribution system for seafood trade which characterized in that includes: the system comprises an order pressure judging module, a logistics price judging module, a logistics timeliness judging module, an order address judging module and a stock judging module;
the order pressure judging module is respectively connected with the logistics price judging module and the logistics timeliness judging module, the logistics price judging module and the logistics timeliness judging module are respectively connected with the order address judging module, and the order address judging module is connected with the stock judging module;
the order pressure judging module is used for judging whether the order pressure in the warehouse exceeds a predefined pressure threshold value, if so, the warehouse is not selected, and if not, the warehouse is taken as an alternative warehouse;
the logistics price judging module is used for judging whether the logistics price meets the requirement of the predefined logistics price, if so, selecting the logistics as an alternative logistics, and if not, not selecting the logistics;
the logistics timeliness judging module is used for judging whether the logistics timeliness meets the predefined logistics timeliness requirement, if the logistics timeliness meets the requirement, the logistics is selected as an alternative logistics, and if the logistics does not meet the requirement, the logistics is not selected;
the order address judging module is used for judging whether the warehouse address is the nearest warehouse to the order address, if so, the warehouse is used as an alternative warehouse, and if not, the warehouse is not selected;
the inventory judging module is used for judging whether the inventory in the warehouse meets the requirement of the order, if so, the warehouse is taken as a standby warehouse, and if not, the warehouse is not selected.
2. The intelligent dynamic order distribution system applied to the seafood industry as claimed in claim 1, further comprising a purchasing cost judgment module connected to the inventory judgment module, for each commodity in the order, judging the purchasing cost in the alternative warehouse, and selecting the warehouse with the lowest purchasing cost as the delivery warehouse.
3. The intelligent dynamic order distribution system applied to the seafood industry of claim 2, wherein the warehouse with the lowest purchasing cost is the warehouse with the lowest sum of purchasing costs of all commodities in the order.
4. The intelligent dynamic order distribution system applied to the seafood industry as claimed in claim 2, wherein the logistics price judgment module and the logistics time efficiency judgment module are adopted to select the preferred warehouse and the sub-optimal warehouse according to the customer specification or the random specification mode in the warehouse which meets the predefined logistics price and the logistics time efficiency.
5. The intelligent dynamic order distribution system applied to the seafood industry as claimed in claim 1, wherein the order address judgment module is adopted to select the warehouse with the closest warehouse address and order address as the preferred warehouse.
6. The intelligent dynamic order distribution system applied to the seafood industry of claim 1, wherein the nearest warehouse is set with a delivery timeliness threshold, and the actual timeliness efficiency of the logistics delivery is smaller than the delivery timeliness threshold, namely, the nearest warehouse.
7. An intelligent dynamic order distribution method applied to the seafood industry, which is characterized by comprising the intelligent dynamic order distribution system applied to the seafood industry as claimed in any one of claims 1 to 6, and comprising the following steps: excluding all warehouses whose order pressures exceed a predefined pressure threshold;
configuring a preferred warehouse and a sub-optimal warehouse according to the logistics price and the logistics aging;
matching a corresponding warehouse according to the order address, and defining the warehouse as a preferred warehouse;
configuring each suboptimal warehouse;
it is determined whether the inventory of the preferred warehouse meets the requirements of the order and, if so, the order is associated with the preferred warehouse.
8. The intelligent dynamic order distribution method applied to the seafood industry as claimed in claim 7, wherein the method comprises the steps of judging whether the stock of the preferred warehouse meets the requirement of the order, judging the stock condition of the secondary warehouse again if the stock of the preferred warehouse does not meet the requirement of the order, and associating the order to the secondary warehouse if the stock of the secondary warehouse meets the requirement of the order.
9. The intelligent dynamic order distribution method applied to the seafood industry as claimed in claim 8, wherein the stock condition of the sub-optimal warehouse is judged again, and if the stock of the sub-optimal warehouse does not meet the order requirement, each of the following commodity judgment processes is executed: and circularly judging each commodity in the order, acquiring whether each commodity meets the inventory conditions of the first-choice warehouse and the second-choice warehouse, judging the purchasing cost of each warehouse for the warehouse meeting the conditions, finally acquiring the warehouse meeting the inventory conditions and the lowest cost, and associating the commodity with the warehouse.
10. The intelligent dynamic order distribution method applied to the seafood industry as claimed in claim 9, wherein in each commodity judgment process, if all commodities are judged in a circulating manner, and the remaining commodities do not meet the stock conditions of the preferred warehouse and the suboptimal warehouse, the whole order is directly suspended from the association of the warehouses.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113592382A (en) * | 2021-06-29 | 2021-11-02 | 青岛海尔科技有限公司 | Order processing method and device, computer readable storage medium and processor |
| WO2023279407A1 (en) * | 2021-07-06 | 2023-01-12 | 深圳市通拓信息技术网络有限公司 | Outbound and distribution method for e-commerce intelligent warehousing |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017167128A1 (en) * | 2016-03-31 | 2017-10-05 | 阿里巴巴集团控股有限公司 | Method, apparatus, and system for scheduling logistic resources |
| CN109359759A (en) * | 2018-08-07 | 2019-02-19 | 深圳市易达云科技有限公司 | Intelligence divides storehouse method, equipment and computer readable storage medium |
| CN109816294A (en) * | 2017-11-22 | 2019-05-28 | 上海德启信息科技有限公司 | A kind of determination method and apparatus of shipping room |
-
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- 2020-11-25 CN CN202011351087.9A patent/CN112529494A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017167128A1 (en) * | 2016-03-31 | 2017-10-05 | 阿里巴巴集团控股有限公司 | Method, apparatus, and system for scheduling logistic resources |
| CN109816294A (en) * | 2017-11-22 | 2019-05-28 | 上海德启信息科技有限公司 | A kind of determination method and apparatus of shipping room |
| CN109359759A (en) * | 2018-08-07 | 2019-02-19 | 深圳市易达云科技有限公司 | Intelligence divides storehouse method, equipment and computer readable storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113592382A (en) * | 2021-06-29 | 2021-11-02 | 青岛海尔科技有限公司 | Order processing method and device, computer readable storage medium and processor |
| WO2023279407A1 (en) * | 2021-07-06 | 2023-01-12 | 深圳市通拓信息技术网络有限公司 | Outbound and distribution method for e-commerce intelligent warehousing |
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