CN116308072B - White spirit goods source allocation system based on data analysis - Google Patents
White spirit goods source allocation system based on data analysis Download PDFInfo
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- CN116308072B CN116308072B CN202310602166.XA CN202310602166A CN116308072B CN 116308072 B CN116308072 B CN 116308072B CN 202310602166 A CN202310602166 A CN 202310602166A CN 116308072 B CN116308072 B CN 116308072B
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- 238000007405 data analysis Methods 0.000 title claims abstract description 9
- 238000004458 analytical method Methods 0.000 claims description 67
- 238000012384 transportation and delivery Methods 0.000 claims description 51
- 238000013439 planning Methods 0.000 claims description 17
- 238000012216 screening Methods 0.000 claims description 14
- 230000002093 peripheral effect Effects 0.000 claims description 8
- 235000020097 white wine Nutrition 0.000 claims description 8
- 238000012790 confirmation Methods 0.000 claims description 4
- 238000000034 method Methods 0.000 abstract description 4
- 238000004519 manufacturing process Methods 0.000 description 7
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 210000001367 artery Anatomy 0.000 description 1
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- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000007726 management method Methods 0.000 description 1
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- 235000015096 spirit Nutrition 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention relates to the field of white spirit source allocation, which is used for solving the problems that the white spirit source allocation is difficult to accurately allocate due to large variation amplitude of white spirit sales and goods backlog or goods breakage occur, in particular to a white spirit source allocation system based on data analysis; according to the method, historical contemporaneous data of a goods mixing target site for collecting white spirit goods are analyzed, the rationality of the white spirit goods mixing quantity in a white spirit goods mixing request is obtained, meanwhile, the scale of stores and the number of surrounding people are analyzed, so that the estimation of the white spirit sales capacity is realized, the reasonableness of the white spirit goods mixing quantity is more accurate when the rationality of the white spirit goods mixing quantity is judged, the sufficient rationality of the white spirit goods source mixing request is ensured when the white spirit goods source mixing is implemented, when the white spirit goods source mixing is planned, the warehouse for storing white spirit is analyzed, the warehouse which can meet the white spirit mixing requirement and reduce the transportation cost to the greatest extent is selected as the goods source warehouse, and the mixing can timely follow the market sales quantity change by reducing the transportation time.
Description
Technical Field
The invention relates to the field of white spirit source allocation, in particular to a white spirit source allocation system based on data analysis.
Background
The transportation is an artery of national economy, plays an extremely important role in social economic development and people's life, various transportation modes face the problem of how to dispatch and distribute transportation means in daily transportation operation management work, for the cargo distribution of logistics centers and third party logistics enterprises, the transportation means are mainly freight vehicles, the right and reasonable dispatching can effectively reduce the empty rate of the vehicles, and reasonable path transportation is realized, so that the transportation cost and transportation time are effectively reduced, and the economic benefits of the logistics centers and the third party logistics enterprises are improved;
the market value of the white spirit is high, and the sales capacity of the white spirit is low in the ordinary period due to the fact that the market value of the white spirit is different in different periods, for example, the sales capacity of the white spirit is high in holidays in spring festival and the like, so that the condition of backlog of the white spirit is avoided when the white spirit is subjected to goods source allocation, the production capacity of the white spirit is prevented from being stressed greatly, and meanwhile, in order to prevent abnormal sales behaviors, sales data of different sales points are required to be monitored, accuracy and safety of the white spirit during goods source allocation are improved, the supply of the white spirit is improved sufficiently, and the stability of the white spirit sales market is ensured;
aiming at the technical problems, the application provides a solution.
Disclosure of Invention
According to the invention, after a merchant actively generates a white spirit dispatching request, the historical contemporaneous data of a dispatching target place for collecting white spirit goods is analyzed to obtain the rationality of the dispatching quantity of the white spirit in the white spirit dispatching request, meanwhile, the store scale and the number of surrounding people are analyzed to realize the estimation of the sales capacity of the white spirit, so that the rationality of the dispatching quantity of the white spirit is more accurate when judging, the condition that the dispatching request of a white spirit goods source is enough in implementation is ensured, the condition that the production capacity is abnormally increased due to the broken supply of the production party and the subsequent productivity is seriously excessive due to the overstock of goods is prevented, and when planning the dispatching of the white spirit goods source, the warehouse for storing the white spirit is analyzed to select the warehouse which can meet the dispatching requirement and simultaneously furthest reduce the transportation cost as the goods warehouse, the economy during transportation is ensured, the problem that the dispatching of the white spirit source is difficult to accurately dispatch the goods source due to the large change of the white spirit sales quantity is solved, and the goods dispatching or goods is broken.
The aim of the invention can be achieved by the following technical scheme: the white spirit goods source allocation system based on data analysis comprises an order analysis timing unit, a warehouse overall arrangement unit, a transportation checking unit and a transportation execution unit, wherein the order analysis timing unit is used for acquiring a white spirit goods allocation request, generating a white spirit goods allocation signal according to the white spirit goods allocation request and sending the white spirit goods allocation signal to the warehouse overall arrangement unit;
the warehouse overall planning unit obtains the white spirit dispatching signals, analyzes the white spirit dispatching signals and obtains all distribution warehouses capable of meeting dispatching conditions, the warehouse overall planning unit carries out transportation planning on the distribution warehouses meeting the conditions to generate expected transportation time, selects the distribution warehouse with the shortest expected transportation time, marks the distribution warehouse as a goods source warehouse, generates white spirit transportation signals, and simultaneously sends the goods source warehouse and the white spirit transportation signals to the transportation checking unit and the transportation executing unit;
the transportation checking unit is divided into a sales fluctuation analysis unit and a transportation analysis planning unit, the sales fluctuation analysis unit analyzes the white spirit transportation signal, compares the white spirit transportation signal through historical goods-adjusting data, historical white spirit sales data and goods-adjusting target site sales capacity, generates a comparison passing signal after the comparison passes, generates a comparison failing signal when the comparison fails to meet the requirements, compares the shortest predicted transportation time with the delivery date in the white spirit goods-adjusting signal, generates a goods-adjusting delay signal or a goods-adjusting normal signal, and feeds the goods-adjusting delay signal or the goods-adjusting normal signal back to the order analysis timing unit, and the order analysis timing unit generates a transportation passing signal after secondarily confirming the goods-adjusting delay signal or the goods-adjusting normal signal;
the transportation execution unit is used for receiving the white spirit transportation signal, generating a transportation execution signal after obtaining the comparison passing signal and the transportation passing signal, and carrying out source allocation transportation on the white spirit according to the transportation execution signal.
In a preferred embodiment of the present invention, the mode of the order analysis timing unit obtaining the white spirit dispatching request is manual input, the white spirit dispatching request obtained by the order analysis timing unit includes information including a dispatching target location for collecting white spirit goods, dispatching delivery date, white spirit dispatching type and white spirit dispatching quantity, and the white spirit dispatching signal generated by the order analysis timing unit also includes the information.
As a preferred embodiment of the present invention, after the warehouse overall unit obtains the white spirit dispatching signal, the warehouse overall unit performs primary screening on the distribution warehouse according to the white spirit dispatching type in the white spirit dispatching signal, removes the distribution warehouse which does not contain the white spirit dispatching type, performs secondary screening on the distribution warehouse according to the white spirit dispatching type, removes the distribution warehouse with insufficient white spirit dispatching quantity, obtains the distribution warehouse after the secondary screening, and performs route analysis on the positions of the distribution warehouse after the secondary screening and the dispatching target site to obtain the predicted transportation time;
when the distribution warehouse after the secondary screening does not have the distribution warehouse meeting the quantity of the white spirit for dispatching, adopting a multi-warehouse combined dispatching mode, recording the quantity of warehouses as i, recording the transportation time of each warehouse for transporting to a dispatching target place as ti, calculating the comprehensive predicted transportation equivalent value Y through a formula,wherein k is a preset weight coefficient, the value of k is related to i, the warehouse overall planning unit selects a warehouse with the minimum comprehensive predicted transportation equivalent value Y through the comprehensive transportation equivalent value Y when the multi-warehouse combination is allocated, and the warehouses in the warehouse combination are marked as the warehouse of the cargo source;
the white wine transportation signal comprises all information in a goods source warehouse and a white wine goods adjusting signal.
As a preferred embodiment of the present invention, the sales fluctuation analysis unit analyzes historical site-dispatching data, historical site-dispatching sales data and site-dispatching sales capacity, wherein the historical site-dispatching data is average dispatching quantity of the sites in the same period as the last year, the historical site-dispatching sales data is average dispatching quantity of the sites in the same period as the last year, the sales capacity of the sites is population quantity around the sites, the peripheral range of the sites is circle coverage with the sites as the center, radius is 1 km, 3 km and 5 km, the sales fluctuation analysis unit divides the sites into small-sized stores, medium-sized stores and large-sized stores according to the scale of the stores, when the sites are small-sized stores, the peripheral range radius is selected to be 1 km, when the sites are medium-sized stores, the peripheral range radius is selected to be 3 km, when the sites are large-sized stores, the peripheral range radius is selected to be 5 km, the sales fluctuation analysis unit records the peripheral number of the sites as m, the sales range around the sites is circle coverage with the sites as the center, radius is 1 km, 3 km and 5 km, the sales fluctuation signal is compared with the sales fluctuation value of the average dispatching quantity in the same period as the last year, the average dispatching quantity is compared with the average sales fluctuation value of the average dispatching quantity, the average dispatching quantity is compared with the average sales quantity of the peak value of the site is measured with the average dispatching quantity, and the average dispatching quantity is compared with the average peak value of the peak value in the peak-dispatching peak is compared with the peak value of the peak value, if any one of the difference between the quantity of the white spirit and the quantity of the white spirit in the same period as the past year or the difference between the quantity of the white spirit in the same period as the past year is larger than the white spirit sales fluctuation value X, a comparison non-passing signal is generated, and the sales fluctuation analysis unit sends the comparison passing signal or the comparison non-passing signal to the transportation execution unit.
As a preferred embodiment of the present invention, the transportation analysis planning unit calculates a delivery date of the source according to the estimated transportation time of the source warehouse to the delivery destination, compares the delivery date of the source with the delivery date of the delivery in the white spirit delivery request, generates a delivery delay signal if the delivery date of the source exceeds the delivery date of the delivery for 24 hours, and generates a delivery normal signal if the delivery date of the source does not exceed the delivery date of the delivery for 24 hours, and the transportation analysis planning unit sends a delivery pass signal to the transportation execution unit;
the order analysis timing unit performs secondary confirmation on the goods dispatching delay signal or the goods dispatching normal signal in a manual confirmation mode.
As a preferred embodiment of the invention, the sales fluctuation analysis unit feeds back the comparison failed signal to the order analysis timing unit after generating the comparison failed signal, and the order analysis timing unit feeds back the comparison failed signal to the outside through a network and generates a new white spirit dispatching request and a white spirit dispatching signal again.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, when the white spirit cargo source is allocated, white spirit cargo allocation information is generated through the white spirit cargo allocation request actively generated by a merchant, so that the white spirit cargo allocation information can be more fit with the actual situation, the condition that white spirit cargo allocation is inaccurate due to mechanical generation of the cargo allocation information is avoided, and after the merchant actively generates the white spirit cargo allocation request, whether the white spirit cargo allocation request accords with the judgment basis or not is intelligently analyzed, so that the white spirit cargo source allocation request has enough rationality in implementation, and the conditions that the production capacity is abnormally improved due to the fact that the production party is disconnected and the subsequent capacity is seriously excessive due to goods overstock are prevented.
2. In the invention, when the white wine cargo source allocation is planned, the warehouse for storing white wine is analyzed, so that the white wine allocation requirement can be met, and meanwhile, the warehouse which can furthest reduce the transportation cost and the transportation time is taken as the cargo source warehouse, so that the economy in transportation is ensured, and the cargo source allocation of white wine can timely follow the change of market sales by reducing the transportation time.
3. According to the method, when the white spirit dispatching request is analyzed, the historical contemporaneous data of the dispatching target site for collecting white spirit goods is analyzed, so that the rationality of the white spirit dispatching quantity in the white spirit dispatching request is obtained, and meanwhile, when the analysis is performed, the estimation of the white spirit sales capacity is realized through the analysis of the store scale and the number of people around, so that when the historical contemporaneous data is analyzed, the estimation of the error value is performed according to the white spirit sales capacity, and the judgment of the rationality of the white spirit dispatching quantity is more accurate.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a system block diagram of the present invention;
fig. 2 is a block diagram of a transport collation unit of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
referring to fig. 1-2, a white spirit source allocation system based on data analysis includes an order analysis timing unit, a warehouse overall unit, a transportation checking unit and a transportation execution unit, wherein the order analysis timing unit is used for acquiring a white spirit allocation request, the manner that the order analysis timing unit acquires the white spirit allocation request is manually input, the white spirit allocation request acquired by the order analysis timing unit includes information composed of a white spirit allocation target place, an allocation delivery date, a white spirit allocation type and a white spirit allocation quantity, white spirit allocation signals are generated according to the white spirit allocation request, the white spirit allocation signals are sent to the warehouse overall unit, and the white spirit allocation signals generated by the order analysis timing unit also include the information;
the method comprises the steps that a warehouse overall planning unit obtains a white spirit dispatching signal, analyzes the white spirit dispatching signal, performs primary screening on a distribution warehouse according to a white spirit dispatching type in the white spirit dispatching signal, removes the distribution warehouse which does not contain the white spirit dispatching type, performs secondary screening on the distribution warehouse according to the white spirit dispatching type, removes distribution warehouses with insufficient white spirit dispatching quantity, obtains all distribution warehouses capable of meeting dispatching conditions, performs transportation planning on the distribution warehouses meeting the conditions, obtains the distribution warehouses subjected to secondary screening, performs route analysis on the distribution warehouses subjected to secondary screening and the positions of dispatching target sites, obtains expected transportation time, selects the distribution warehouse with the shortest expected transportation time, marks the distribution warehouse as a source warehouse, generates white spirit transportation signals, and simultaneously sends the source warehouse and the white spirit transportation signals to a transportation checking unit and a transportation executing unit;
in addition, when the distribution warehouse after the secondary screening does not have the distribution warehouse meeting the quantity of the white spirit to be mixed, a multi-warehouse combined mixing mode is adopted, the quantity of warehouses is recorded as i, the transportation time of each warehouse to a mixing target place is recorded as ti, the comprehensive predicted transportation equivalent value Y is calculated through a formula,and when the multi-warehouse combination is allocated, the warehouse overall unit selects a warehouse with the minimum comprehensive predicted transportation equivalent value Y by replacing the predicted transportation time, selects a warehouse combination with the minimum comprehensive predicted transportation equivalent value Y, marks warehouses in the warehouse combination as the warehouse of the warehouse, records the types of white spirit and the quantity of various white spirits which are allocated from each warehouse in the warehouse combination, facilitates the allocation and transportation of subsequent warehouses, and ensures that the white spirit transportation signals contain all information in the warehouse of the warehouse and the white spirit allocation signals.
Embodiment two:
referring to fig. 1 to 2, the transportation verification unit is divided into a sales fluctuation analysis unit and a transportation analysis planning unit;
the method comprises the steps that a sales fluctuation analysis unit analyzes white spirit transportation signals, historical cargo allocation data, historical white spirit sales data and sales capacity of cargo allocation target sites are firstly obtained during analysis, each month of 12 months in a year is taken as a period, when the month period in the historical data is identical to the month of the cargo allocation delivery date, the period is recorded as the same period of the previous year, wherein the historical cargo allocation data is the average cargo allocation quantity of the cargo allocation target sites in the same period of the previous year, the historical white spirit sales data is the average white spirit sales quantity of the cargo allocation target sites in the same period of the previous year, the sales capacity of a cargo allocation target point is the population quantity around the cargo allocation target sites, the range around the cargo allocation target sites is round coverage with the cargo allocation target sites as the circle center, the radius is 1 km, the radius is 3 km and the round coverage of the 5 km, the sales fluctuation analysis unit divides the cargo allocation target sites into small stores, medium stores and large stores according to the scale of the stores, when the cargo allocation target sites are the small stores, the radius of the peripheral range is 1 km, when the cargo allocation target sites are the medium stores are the average cargo allocation quantity in the same period, the peripheral site is 3 km, the sales capacity is the sales capacity of the white spirit is more than the sales capacity of the sales target sites in the same period, and the sales capacity of the sales unit is determined to be the same in the sales capacity of the sales unit through the periphery, and the sales fluctuation value is different from the sales capacity of the sales regulation target site to the sales unit;
the sales fluctuation analysis unit analyzes historical goods-regulating data, historical white spirit sales data and goods-regulating target site sales capacity, compares the sum of the white spirit goods-regulating quantity in the white spirit transportation signal with the current year contemporaneous goods-regulating quantity and the current year contemporaneous average white spirit sales quantity, generates a comparison passing signal if the difference between the white spirit goods-regulating quantity and the current year contemporaneous goods-regulating quantity is smaller than a white spirit sales fluctuation value X, and generates a comparison passing signal if any one of the difference between the white spirit goods-regulating quantity and the current year contemporaneous goods-regulating quantity or the difference between the white spirit goods-regulating quantity and the current year contemporaneous average white spirit sales quantity is larger than the white spirit sales fluctuation value X, and indicates that the white spirit goods-regulating quantity in the current white spirit goods-regulating request is unreasonable, and generates a comparison failing signal, and the sales fluctuation analysis unit sends the comparison passing signal or the comparison failing signal to the transportation execution unit;
after the sales fluctuation analysis unit generates a comparison failing signal, the comparison failing signal is fed back to the order analysis timing unit, the order analysis timing unit feeds back the comparison failing signal to the outside through a network, and a shop manager can input a new white spirit dispatching request and a white spirit dispatching signal again after obtaining the comparison failing signal so as to ensure smooth dispatching of white spirit sources.
The transportation analysis planning unit analyzes the shortest estimated transportation time and the delivery date in the white spirit delivery signal, the transportation analysis planning unit calculates the transportation passing signal according to the estimated transportation time of the transportation of the goods source warehouse to the goods delivery destination, compares the transportation passing date with the delivery date in the white spirit delivery request, if the transportation passing date exceeds the delivery date for 24 hours, generates the goods delivery delay signal, if the transportation passing date does not exceed the delivery date for 24 hours, generates the goods delivery normal signal, feeds back the goods delivery delay signal or the goods delivery normal signal to the order analysis timing unit, generates the transportation passing signal after the order analysis timing unit secondarily confirms the goods delivery delay signal or the goods delivery normal signal, and manually confirms the goods delivery delay signal or the goods delivery normal signal by the order analysis timing unit, so that store managers can know the specific arrival time of white spirit delivery before starting transportation, and whether the white spirit is delivered is confirmed again, the situation that goods are accumulated or the white spirit delivery is avoided, and the goods delivery delay signal or the goods delivery normal signal is sent back to the order analysis timing unit after the transportation analysis timing unit is carried out again.
The transportation execution unit is used for receiving the white spirit transportation signal, generating a transportation execution signal after obtaining the comparison passing signal and the transportation passing signal, and carrying out source allocation transportation on the white spirit according to the transportation execution signal.
According to the invention, the white spirit dispatching information is generated through the white spirit dispatching request actively generated by a merchant, so that the white spirit dispatching information can be more fit with the actual situation, the situation that white spirit dispatching is inaccurate caused by mechanical generation of dispatching information is avoided, after the merchant actively generates the white spirit dispatching request, the rationality of the white spirit dispatching quantity in the white spirit dispatching request is obtained through analyzing historical contemporaneous data of dispatching target sites for receiving white spirit goods, meanwhile, the scale of stores and the number of surrounding people are analyzed, the estimation of white spirit sales capacity is realized, the white spirit dispatching quantity rationality is more accurate when judging, the condition that the white spirit dispatching request has enough rationality when being implemented is ensured, the occurrence of the situation that the subsequent capacity caused by abnormal lifting and overstock of production is seriously caused by the production side is prevented, and when the white spirit dispatching is planned, the warehouse is selected, the requirements of white spirit dispatching can be met, meanwhile, the transportation cost and the transportation time can be furthest reduced and the economic efficiency of the warehouse is ensured, and the market dispatching of white spirit can be realized by reducing the time and market dispatching of goods is ensured.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (3)
1. The white spirit cargo source allocation system based on data analysis is characterized by comprising an order analysis timing unit, a warehouse overall arrangement unit, a transportation checking unit and a transportation execution unit, wherein the order analysis timing unit is used for acquiring a white spirit cargo allocation request, generating a white spirit cargo allocation signal according to the white spirit cargo allocation request and sending the white spirit cargo allocation signal to the warehouse overall arrangement unit;
the system comprises a warehouse overall preparation unit, a transportation checking unit, a transportation execution unit, a transportation control unit and a transportation control unit, wherein the warehouse overall preparation unit acquires a white spirit dispatching signal and analyzes the white spirit dispatching signal to acquire all distribution warehouses capable of meeting dispatching conditions, the warehouse overall preparation unit carries out transportation planning on the distribution warehouses meeting the conditions to generate expected transportation time, selects the distribution warehouse with the shortest expected transportation time, marks the distribution warehouse as a source warehouse, generates a white spirit transportation signal, simultaneously sends the source warehouse and the white spirit transportation signal to the transportation checking unit and the transportation execution unit, and after acquiring the white spirit dispatching signal, carries out primary screening on the distribution warehouse according to the white spirit dispatching category in the white spirit dispatching signal to remove the distribution warehouse which does not contain the white spirit dispatching category, carries out secondary screening on the distribution warehouse with insufficient white spirit dispatching quantity according to the white spirit dispatching category, acquires the distribution warehouse with the secondary screening, carries out route analysis on the distribution warehouse and the position of a dispatching target place, and acquires the expected transportation time;
when the distribution warehouse after the secondary screening does not have the distribution warehouse meeting the quantity of the white spirit for dispatching, adopting a multi-warehouse combined dispatching mode, recording the quantity of warehouses as i, recording the transportation time of each warehouse for transporting to a dispatching target place as ti, calculating the comprehensive predicted transportation equivalent value Y through a formula,wherein k is a preset weight coefficient, the value of k is related to i, the warehouse overall planning unit selects a warehouse with the minimum comprehensive predicted transportation equivalent value Y through the comprehensive transportation equivalent value Y when the multi-warehouse combination is allocated, and the warehouses in the warehouse combination are marked as the warehouse of the cargo source;
the white wine transportation signal comprises all information in a goods source warehouse and a white wine goods adjusting signal;
the transportation checking unit is divided into a sales fluctuation analysis unit and a transportation analysis planning unit, the sales fluctuation analysis unit analyzes the white spirit transportation signal, compares the white spirit transportation signal through historical goods-adjusting data, historical white spirit sales data and goods-adjusting target site sales capacity, generates a comparison passing signal after the comparison passes, generates a comparison failing signal when the comparison fails to meet the requirements, compares the shortest predicted transportation time with the delivery date in the white spirit goods-adjusting signal, generates a goods-adjusting delay signal or a goods-adjusting normal signal, and feeds the goods-adjusting delay signal or the goods-adjusting normal signal back to the order analysis timing unit, and the order analysis timing unit generates a transportation passing signal after secondarily confirming the goods-adjusting delay signal or the goods-adjusting normal signal;
the sales fluctuation analysis unit analyzes historical goods-dispatching data, historical white spirit sales data and goods-dispatching target site sales capacity, wherein the historical goods-dispatching data is average goods-dispatching quantity of the goods-dispatching target site in the same year, the historical white spirit sales data is average white spirit sales quantity of the goods-dispatching target site in the same year, the sales capacity of the goods-dispatching target site is population quantity of the periphery of the goods-dispatching target site, the periphery of the goods-dispatching target site is a circular coverage area with the goods-dispatching target site as a circle center and with the radiuses of 1 km, 3 km and 5 km, the sales fluctuation analysis unit divides the goods-dispatching target site into a small store, a medium store and a large store according to the store scale, when the goods-dispatching target site is the small store, the radius of the periphery is 1 km, when the goods-dispatching target site is the medium store, the radius of the periphery is 3 km, when the destination point of the transfer goods is a large shop, the radius of the peripheral range is 5 km, the sales fluctuation analysis unit records the population quantity around the destination point of the transfer goods as m, determines the sales fluctuation value X of the white spirit, X=qm, wherein q is a preset weight coefficient, the sales fluctuation analysis unit compares the sum of the transfer quantity of the white spirit in the white spirit transportation signal with the transfer quantity of the same year and the average white spirit sales quantity of the same year, if the difference between the transfer quantity of the white spirit and the transfer quantity of the same year is smaller than the sales fluctuation value X of the white spirit, and if the difference between the transfer quantity of the white spirit and the average white spirit sales quantity of the same year is smaller than the sales fluctuation value X of the white spirit, a comparison passing signal is generated, if any one of the difference between the transfer quantity of the white spirit and the transfer quantity of the same year or the average white spirit sales quantity of the same year is larger than the sales fluctuation value X of the white spirit, generating a contrast fail signal, and the sales fluctuation analysis unit transmits the contrast fail signal or the contrast fail signal to the transportation execution unit;
the transportation analysis planning unit calculates a goods source delivery date according to the expected transportation time of the goods source warehouse to the goods delivery target site, compares the goods source delivery date with the goods delivery date in the white spirit goods delivery request, generates a goods delivery delay signal if the goods source delivery date exceeds the goods delivery date for 24 hours, generates a goods delivery normal signal if the goods source delivery date does not exceed the goods delivery date for 24 hours, and sends a transportation passing signal to the transportation execution unit;
the order analysis timing unit performs secondary confirmation on the goods dispatching delay signal or the goods dispatching normal signal in a manual confirmation mode;
the transportation execution unit is used for receiving the white spirit transportation signal, generating a transportation execution signal after obtaining the comparison passing signal and the transportation passing signal, and carrying out source allocation transportation on the white spirit according to the transportation execution signal.
2. The white spirit source allocation system based on data analysis according to claim 1, wherein the mode that the order analysis timing unit obtains the white spirit allocation request is manual input, the white spirit allocation request obtained by the order analysis timing unit includes information including an allocation target place for receiving white spirit goods, allocation delivery date, white spirit allocation type and white spirit allocation quantity, and the white spirit allocation signal generated by the order analysis timing unit also includes the above information.
3. The white spirit source allocation system based on data analysis according to claim 1, wherein after the sales fluctuation analysis unit generates a comparison failed signal, the comparison failed signal is fed back to the order analysis timing unit, and the order analysis timing unit feeds back the comparison failed signal to the outside through a network and generates a new white spirit allocation request and white spirit allocation signal again.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310602166.XA CN116308072B (en) | 2023-05-26 | 2023-05-26 | White spirit goods source allocation system based on data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310602166.XA CN116308072B (en) | 2023-05-26 | 2023-05-26 | White spirit goods source allocation system based on data analysis |
Publications (2)
| Publication Number | Publication Date |
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