CN114742486A - Intelligent supply chain management method and device - Google Patents
Intelligent supply chain management method and device Download PDFInfo
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Abstract
The invention is suitable for the technical field of supply chain management, and particularly relates to an intelligent supply chain management method and device, wherein the method comprises the following steps: acquiring cargo demand information, cargo supply information and cargo allowance information; matching the cargo allowance information according to the cargo demand information to generate an allowance scheduling scheme; matching the cargo demand information again according to the allowance scheduling scheme and the cargo supply information to generate a directional scheduling scheme; and sending the directional scheduling scheme to a supplier, sending the margin scheduling scheme to a client, receiving feedback information and sending the feedback information. The invention collects the goods demand required by the customer and the goods production list produced by the manufacturer, thereby appointing the goods transportation scheme according to the goods demand, and the goods are directly sent to the customer from the manufacturer, thereby reducing the times of logistics turnover and lowering the logistics transportation cost.
Description
Technical Field
The invention belongs to the technical field of supply chain management, and particularly relates to an intelligent supply chain management method and device.
Background
The supply chain refers to a functional network structure which is formed by forming intermediate products and final products around a core enterprise from kit parts, and finally sending the products to consumers through a sales network to connect suppliers, manufacturers, distributors and end users into a whole. The business idea of supply chain management is to optimize the supply chain as a whole by cooperation between enterprises from the perspective of consumers. Successful supply chain management can coordinate and integrate all activities in the supply chain, eventually becoming an integrated process of seamless connectivity.
In the current supply chain, mainly in a distributed mode, each supplier supplies materials to a manufacturer, and then the manufacturer completes production, and after the production, products are sold by each distributor to form a supply chain network, and the distributors distribute the products to a plurality of customers, which is essentially a distributed link of the products.
However, in the distributed product sales mode, the product needs to arrive at the distributor first and then arrive at the customer, and therefore, additional logistics cost is added.
Disclosure of Invention
An object of the present invention is to provide an intelligent supply chain management method, which is to solve the problems in the third part of the background art.
The embodiment of the invention is realized in such a way that an intelligent supply chain management method comprises the following steps:
acquiring cargo demand information, cargo supply information and cargo allowance information;
matching the cargo allowance information according to the cargo demand information to generate an allowance scheduling scheme;
matching the cargo demand information again according to the allowance scheduling scheme and the cargo supply information to generate a directional scheduling scheme;
and sending the directional scheduling scheme to a supplier, sending the margin scheduling scheme to a client, receiving feedback information from the supplier and the buyer, and sending the feedback information.
Preferably, the step of generating the allowance scheduling scheme by matching the cargo allowance information according to the cargo demand information specifically includes:
analyzing the goods allowance information to obtain client position information and client allowance information;
calculating logistics transportation cost between each buyer in the goods demand information according to the position information of the client;
and calculating the total transportation cost corresponding to different transportation schemes according to the logistics transportation cost to generate a margin scheduling scheme.
Preferably, the step of generating the directional scheduling scheme by re-matching the cargo demand information according to the margin scheduling scheme and the cargo supply information specifically includes:
deducting the quantity of cargo scheduling in the allowance scheduling scheme from the cargo demand information, and analyzing to obtain a cargo list, a cargo receiving place and cargo purchasing time;
inquiring goods supply information according to a goods list and goods purchasing time, and determining alternative information of a supplier, wherein the alternative information of the supplier at least comprises a position of the supplier and available goods allowance;
and calculating logistics expenses corresponding to different transportation schemes according to the alternative information of the suppliers, and generating a directional scheduling scheme.
Preferably, the step of sending the directional scheduling scheme to the supplier, the step of sending the margin scheduling scheme to the client, and the step of receiving feedback information from the supplier and the buyer, and sending the feedback information includes:
sending the directional scheduling scheme to a supplier, wherein the supplier sends a specified quantity of goods to a corresponding purchasing party according to the directional scheduling scheme and sends first logistics information;
sending the allowance scheduling scheme to a client, wherein the goods allowance information comes from the client, and the client calls internal redundant goods according to the allowance scheduling scheme to send the internal redundant goods to a purchasing party and sends second logistics information;
and receiving the feedback information, analyzing to obtain first logistics information and second logistics information, and respectively sending the first logistics information and the second logistics information to each purchasing party.
Preferably, the first stream information and the second stream information are both transmitted by encryption.
Preferably, if the remaining amount of the goods contained in the remaining amount of the goods information is zero, the directional scheduling scheme is generated according to the direct matching of the goods supply information and the goods demand information.
Another objective of an embodiment of the present invention is to provide an intelligent supply chain management system, which includes:
the information cargo module is used for acquiring cargo demand information, cargo supply information and cargo allowance information;
the allowance scheduling module is used for matching the cargo allowance information according to the cargo demand information to generate an allowance scheduling scheme;
the directional scheduling module is used for matching the cargo demand information again according to the allowance scheduling scheme and the cargo supply information to generate a directional scheduling scheme;
and the scheduling feedback module is used for sending the directional scheduling scheme to the supplier, sending the margin scheduling scheme to the client, receiving feedback information from the supplier and the buyer and sending the feedback information.
Preferably, the margin scheduling module includes:
the data analysis unit is used for analyzing the goods allowance information to obtain client position information and client allowance information;
the cost calculation unit is used for calculating logistics transportation cost between each buyer in the goods demand information according to the client position information;
and the scheme generating unit is used for calculating the total transportation cost corresponding to different transportation schemes according to the logistics transportation cost and generating a margin scheduling scheme.
Preferably, the directional scheduling module includes:
the quantity calculating unit is used for deducting the quantity of cargo scheduling in the allowance scheduling scheme from the cargo demand information, and analyzing to obtain a cargo list, a cargo receiving place and cargo purchasing time;
the supplier selection unit is used for inquiring the goods supply information according to the goods list and the goods purchasing time and determining supplier alternative information, wherein the supplier alternative information at least comprises a supplier position and available goods allowance;
and the scheme comparison unit is used for calculating the logistics cost corresponding to different transportation schemes according to the alternative information of the supplier to generate a directional scheduling scheme.
Preferably, the scheduling feedback module includes:
the system comprises a first sending unit, a second sending unit and a third sending unit, wherein the first sending unit is used for sending a directional scheduling scheme to a supplier, and the supplier sends a specified quantity of goods to a corresponding purchasing party according to the directional scheduling scheme and sends first logistics information;
the second sending unit is used for sending the allowance scheduling scheme to the client, the goods allowance information comes from the client, the client calls internal redundant goods according to the allowance scheduling scheme and sends the internal redundant goods to the purchasing party, and second logistics information is sent;
and the logistics feedback unit is used for receiving the feedback information, analyzing the feedback information to obtain first logistics information and second logistics information, and respectively sending the first logistics information and the second logistics information to each purchasing party.
The intelligent supply chain management method provided by the embodiment of the invention collects the goods demand required by the customer and the goods production list produced by the manufacturer, so that the goods transportation scheme is specified according to the goods demand, the goods are directly sent to the customer from the manufacturer, the logistics turnover frequency is reduced, the logistics transportation cost is reduced, and the goods allowance of the customer is scheduled, so that the utilization rate of the goods is improved, and the increase of the customer cost caused by goods returning is avoided.
Drawings
Fig. 1 is a flowchart of an intelligent supply chain management method according to an embodiment of the present invention;
fig. 2 is a flowchart of steps of generating a margin scheduling scheme according to matching of cargo demand information and cargo margin information according to an embodiment of the present invention;
fig. 3 is a flowchart of steps of generating a directional scheduling scheme by re-matching cargo demand information according to a margin scheduling scheme and cargo supply information according to an embodiment of the present invention;
fig. 4 is a flowchart of steps provided by an embodiment of the present invention for sending a directional scheduling scheme to a supplier, sending a margin scheduling scheme to a client, receiving feedback information from the supplier and a buyer, and sending the feedback information;
FIG. 5 is a block diagram of an intelligent supply chain management method according to an embodiment of the present invention;
fig. 6 is an architecture diagram of a headroom scheduling module according to an embodiment of the present invention;
fig. 7 is an architecture diagram of a directional scheduling module according to an embodiment of the present invention;
fig. 8 is an architecture diagram of a scheduling feedback module according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements should not be limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.
In the current supply chain, mainly in a distributed mode, each supplier supplies materials to a manufacturer, and then the manufacturer completes production, and after the production, products are sold by each distributor to form a supply chain network, and the distributors distribute the products to a plurality of customers, which is essentially a distributed link of the products. However, in the distributed product sales mode, the product needs to arrive at the distributor first and then arrive at the customer, and therefore, additional logistics cost is added.
In the invention, the goods demand required by the customer and the goods production list produced by the manufacturer are collected, so that the goods transportation scheme is appointed according to the goods demand, the goods are directly sent to the customer from the manufacturer, the times of logistics turnover are reduced, the logistics transportation cost is reduced, and the goods allowance of the customer is scheduled, so that the utilization rate of the goods is improved, and the increase of the customer cost caused by goods return is avoided.
As shown in fig. 1, a flowchart of an intelligent supply chain management method according to an embodiment of the present invention is provided, where the method includes:
s100, acquiring cargo demand information, cargo supply information and cargo allowance information.
In the step, the information of the demand of goods is obtained, in the traditional supply chain, all the buyers send orders through the distributors, the distributors are followed by the manufacturers, and the products of the manufacturers are finally sent to the buyers through the distributors, while in the invention, the information of the supply of the goods sent by the manufacturers and the information of the surplus of the goods sent by the customers are collected at the same time, the manufacturers are the suppliers, in the invention, the customers already purchase the goods in the previous orders, but because the surplus still exists after the production is finished in the production process, in order to avoid the waste of the part of the goods, the surplus of the goods can be sent out as the suppliers, the selling price of the goods is necessarily lower than the price of the products provided by the manufacturers, therefore, when the orders are distributed, the surplus goods of the customers can be processed, and the purchasing cost of the buyers can also be reduced, meanwhile, the problem of multi-party dispatching of goods is solved.
And S200, matching the cargo allowance information according to the cargo demand information, and generating an allowance scheduling scheme.
In the step, the goods allowance information is matched according to the goods demand information, the goods demand information comprises the goods information which needs to be purchased by all the buyers and comprises a receiving address sent by the buyer, the goods type and the goods quantity purchased at this time, the allowance provided by the client is scheduled preferentially based on the goods demand information and the goods allowance information, the goods purchase and sale between the client and the buyer are realized, the allowance scheduling scheme is determined according to the logistics cost through calculation, and the allowance scheduling scheme comprises the related information such as the quantity and the date of the goods provided by the client for providing the goods to the buyer; and if the goods allowance contained in the goods allowance information is zero, directly matching the goods demand information according to the goods supply information to generate a directional scheduling scheme.
And S300, matching the cargo demand information again according to the allowance scheduling scheme and the cargo supply information, and generating a directional scheduling scheme.
In this step, the cargo demand information is matched again according to the allowance scheduling scheme and the cargo supply information, and after the allowance of the client is scheduled, the cargo demand in the cargo demand information is inevitably larger than the allowance of the client, so that after the allowance of the client is consumed, the rest part is purchased to a manufacturer (supplier), so that the cost of cargo scheduling is calculated according to the position of each supplier and the position of a buyer, thereby determining the specific scheme of scheduling, namely generating the directional scheduling scheme.
And S400, sending the directional scheduling scheme to a supplier, sending the margin scheduling scheme to a client, receiving feedback information from the supplier and the buyer, and sending the feedback information.
In the step, the directional scheduling scheme is sent to the supplier, the margin scheduling scheme is sent to the client, the supplier is used as a manufacturer, the supplier directly sends the goods to the buyer according to the directional scheduling scheme after receiving the order without transferring through the distributor, the transportation cost is reduced, the goods supply time is shortened, and the client with the margin directly sends the remaining goods to the buyer according to the margin scheduling scheme.
As shown in fig. 2, as a preferred embodiment of the present invention, the step of generating the allowance scheduling scheme by matching the cargo allowance information according to the cargo demand information specifically includes:
s201, analyzing the goods allowance information to obtain client position information and client allowance information.
In this step, the remaining goods information is analyzed, and the remaining goods information includes the location of the client and the remaining goods remaining for each client, and the location of the client is obtained to calculate the logistics transportation cost between the client and the purchasing party.
And S202, calculating logistics transportation cost between each buyer in the goods demand information according to the client position information.
In this step, the mode of the transportation of the goods is determined according to the position relationship between the customer and each buyer, and then the type of the goods is analyzed to determine the logistics transportation cost, which is the unit price for completing the transportation of the goods of the corresponding type.
And S203, calculating total transportation fees corresponding to different transportation schemes according to the logistics transportation fees, and generating a margin scheduling scheme.
In the step, the distance between the client and each buyer is calculated, and the total transportation cost corresponding to different transportation schemes is calculated according to the logistics transportation cost, so that the cost required by adopting different transportation schemes is obtained, and then the transportation scheme with the lowest total transportation cost is adopted to determine the allowance scheduling scheme.
As shown in fig. 3, as a preferred embodiment of the present invention, the step of generating the directional scheduling scheme by re-matching the cargo demand information according to the margin scheduling scheme and the cargo supply information specifically includes:
and S301, deducting the quantity of cargo scheduling in the allowance scheduling scheme from the cargo demand information, and analyzing to obtain a cargo list, a cargo receiving place and cargo purchasing time.
In this step, the amount of the goods scheduled in the allowance scheduling scheme is deducted from the goods requirement information, for the buyer, the main consideration is the supply period and the supply cost, for the goods allowance provided by the client, the ready-made goods can be transported at any time, so that preferential purchasing should be given, and the cost is lower, so that the goods provided by the client can meet the requirement of the buyer preferentially, and further the corresponding amount is deducted from the goods requirement information, and the goods list, the goods receiving place and the goods purchasing time are obtained through analysis.
S302, goods supply information is inquired according to a goods list and goods purchasing time, and supplier alternative information is determined, wherein the supplier alternative information at least comprises a supplier position and available goods allowance.
In the step, the goods with the same requirements in the goods supply information are matched according to the goods list, then screening is carried out according to the goods purchasing time, the goods purchasing time refers to the latest time of delivery of the goods, and the supplier information obtained through screening is extracted to obtain alternative information of suppliers.
And S303, calculating logistics expenses corresponding to different transportation schemes according to the alternative information of the suppliers, and generating a directional scheduling scheme.
In the step, logistics expenses corresponding to different transportation schemes are calculated according to alternative information of a supplier, similarly, a conveying mode is determined according to the position of the supplier, the type of goods and the like, so that unit prices of the transportation expenses are determined, the logistics expenses corresponding to the transportation schemes are calculated, and the transportation scheme which is most economical and meets time requirements is selected as a directional scheduling scheme.
As shown in fig. 4, as a preferred embodiment of the present invention, the steps of sending the directional scheduling scheme to the supplier, sending the margin scheduling scheme to the client, receiving feedback information from the supplier and the buyer, and sending the feedback information include:
s401, the directional scheduling scheme is sent to a supplier, and the supplier sends the specified quantity of goods to the corresponding purchasing party according to the directional scheduling scheme and sends first logistics information.
S402, the allowance scheduling scheme is sent to the client, the goods allowance information comes from the client, the client calls the internal redundant goods according to the allowance scheduling scheme and sends the internal redundant goods to the purchasing party, and second logistics information is sent.
In this step, the directional scheduling scheme is sent to the supplier, the margin scheduling scheme is sent to the client, the client and the supplier begin to schedule the goods according to the directional scheduling scheme and the margin scheduling scheme at this time, and upload the first logistics information and the second logistics information, wherein the first logistics information and the second logistics information at least comprise the transportation single number and the estimated transportation time.
And S403, receiving the feedback information, analyzing to obtain first logistics information and second logistics information, and respectively sending the first logistics information and the second logistics information to each purchasing party.
In the step, receiving the first logistics information and the second logistics information, respectively sending the first logistics information and the second logistics information to each purchasing party, and informing the purchasing party of the source of the current purchased goods; and the first stream information and the second stream information are transmitted by encryption.
As shown in fig. 5, an intelligent supply chain management system according to an embodiment of the present invention includes:
the information cargo module 100 is configured to obtain cargo demand information, cargo supply information, and cargo allowance information.
In the system, the information cargo module 100 obtains the cargo demand information, in the conventional supply chain, all the buyers send orders through the distributors, the distributors are followed by the manufacturers, and the products of the manufacturers are finally sent to the buyers through the distributors, while in the invention, the cargo supply information sent by the manufacturers and the cargo allowance information sent by the clients are collected at the same time, the manufacturers are the suppliers, in the invention, the clients are the cargos which are purchased in the previous orders, but because the production is finished in the production process, the allowances still exist, so as to avoid the waste of the part of cargos, the information can be used as the suppliers to send the cargo allowance information, the selling price of the surplus cargos is lower than the product price provided by the manufacturers, therefore, when the orders are distributed, the surplus cargos of the clients can be processed, and the purchasing cost of the buyers can also be reduced, meanwhile, the problem of multi-party dispatching of goods is solved.
And the allowance scheduling module 200 is configured to match the cargo allowance information according to the cargo demand information, and generate an allowance scheduling scheme.
In the system, a surplus scheduling module 200 matches the goods surplus information according to the goods demand information, the goods demand information includes the goods information which needs to be purchased by all buyers, wherein the goods information includes a receiving address sent by the buyer, the goods type and the goods quantity purchased at this time, and the like; and if the goods allowance contained in the goods allowance information is zero, directly matching the goods demand information according to the goods supply information to generate a directional scheduling scheme.
And the directional scheduling module 300 is configured to match the cargo demand information again according to the allowance scheduling scheme and the cargo supply information, and generate a directional scheduling scheme.
In the system, the directional scheduling module 300 matches the cargo demand information again according to the allowance scheduling scheme and the cargo supply information, and after the allowance of the customer is scheduled, the cargo demand in the cargo demand information is inevitably larger than the allowance of the customer, so that after the allowance of the customer is consumed, the rest part is purchased from a manufacturer (supplier), and the cargo scheduling cost is calculated according to the position of each supplier and the position of the buyer, so that the specific scheduling scheme is determined, that is, the directional scheduling scheme is generated.
And a scheduling feedback module 400, configured to send the directional scheduling scheme to the supplier, send the margin scheduling scheme to the client, receive feedback information from the supplier and the buyer, and send the feedback information.
In the system, the scheduling feedback module 400 sends the directional scheduling scheme to the supplier, and sends the margin scheduling scheme to the client, the supplier is used as a manufacturer, and after receiving the order, the supplier directly sends the goods to the buyer according to the directional scheduling scheme without transferring through a distributor, so that the transportation cost is reduced, the supply time is shortened, and the client with the margin directly sends the remaining goods to the buyer according to the margin scheduling scheme.
As shown in fig. 6, as a preferred embodiment of the present invention, the headroom scheduling module 200 includes:
the data analysis unit 201 is configured to analyze the remaining amount of goods information to obtain client position information and client remaining amount information.
In this module, data analysis section 201 analyzes remaining cargo amount information including a position where a client is located and a remaining cargo amount for each client, and acquires the position where the client is located in order to calculate a logistics transportation cost between the client and a purchasing party.
And the cost calculation unit 202 is used for calculating the logistics transportation cost between each buyer and each goods demand information according to the customer location information.
In this module, the cost calculation unit 202 determines the transportation mode of the goods according to the position relationship between the customer and each buyer, and further analyzes the type of the goods to determine the logistics transportation cost, which is the unit price for completing the transportation of the goods of the corresponding type.
And the scheme generating unit 203 is configured to calculate total transportation fees corresponding to different transportation schemes according to the logistics transportation fees, and generate a margin scheduling scheme.
In this module, the plan generating unit 203 calculates the distance between the customer and each buyer, and calculates the total transportation cost corresponding to different transportation plans according to the logistics transportation cost, so as to obtain the cost required by adopting different transportation plans, and further determine the margin scheduling plan by adopting the transportation plan with the lowest total transportation cost.
As shown in fig. 7, as a preferred embodiment of the present invention, the directional scheduling module 300 includes:
the quantity calculating unit 301 is configured to deduct the quantity of the cargo scheduling in the allowance scheduling scheme from the cargo demand information, and obtain the cargo list, the cargo receiving area, and the cargo purchasing time through analysis.
In this module, the quantity calculating unit 301 deducts the quantity of the goods scheduling in the allowance scheduling scheme from the goods requirement information, for the buyer, the main consideration is the supply period and the supply cost, for the goods allowance provided by the client, which is the ready-made goods and can be transported at any time, so that preferential purchase should be given, and the cost is lower, so that the goods provided by the client preferably meet the requirement of the buyer, and further deduct the corresponding quantity from the goods requirement information, and obtain the goods list, the goods receiving place and the goods purchasing time through analysis.
The supplier selecting unit 302 is configured to query goods supply information according to the goods inventory and the goods procurement time, and determine supplier alternative information, where the supplier alternative information includes at least a supplier location and an available remaining amount of goods.
In this module, the supplier selection unit 302 matches the goods with the same demand in the goods supply information according to the goods list, and then performs screening according to the goods procurement time, which is the latest time of delivery of the goods, and extracts the supplier information obtained by screening to obtain the supplier alternative information.
And the scheme comparison unit 303 is configured to calculate logistics costs corresponding to different transportation schemes according to the alternative information of the supplier, and generate a directional scheduling scheme.
In this module, the plan comparison unit 303 calculates logistics costs corresponding to different transportation plans according to the supplier alternative information, and similarly, determines a transportation mode according to the supplier location, the cargo type, and the like, so as to determine the unit price of the transportation costs, further calculates the logistics costs corresponding to each transportation plan, and selects the transportation plan which is most economical and satisfies the time requirement as the directional scheduling plan.
As shown in fig. 8, as a preferred embodiment of the present invention, the scheduling feedback module 400 includes:
the first sending unit 401 is configured to send the directional scheduling scheme to a supplier, where the supplier sends a specified number of goods to a corresponding buyer according to the directional scheduling scheme, and sends the first logistics information.
And a second sending unit 402, configured to send the allowance scheduling scheme to the client, where the remaining amount of the goods comes from the client, and the client calls internal redundant goods according to the allowance scheduling scheme and sends the internal redundant goods to the purchasing party, and sends second logistics information.
In this module, the first sending unit 401 sends the directional scheduling scheme to the supplier and sends the margin scheduling scheme to the client, and the client and the supplier start to schedule the goods according to the directional scheduling scheme and the margin scheduling scheme at this time and upload the first logistics information and the second logistics information, where the first logistics information and the second logistics information at least include the transportation order number and the estimated transportation time.
And the logistics feedback unit 403 is configured to receive the feedback information, analyze the feedback information to obtain first logistics information and second logistics information, and send the first logistics information and the second logistics information to each purchasing party respectively.
In this module, the logistics feedback unit 403 receives the first logistics information and the second logistics information, sends them to each purchasing party, and informs the purchasing party of the source of the current purchase of the goods; and the first stream information and the second stream information are transmitted by encryption.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (6)
1. An intelligent supply chain management method, the method comprising:
acquiring cargo demand information, cargo supply information and cargo allowance information;
matching the cargo allowance information according to the cargo demand information to generate an allowance scheduling scheme;
matching the cargo demand information again according to the allowance scheduling scheme and the cargo supply information to generate a directional scheduling scheme;
sending the directional scheduling scheme to a supplier, sending the margin scheduling scheme to a client, receiving feedback information from the supplier and a buyer, and sending the feedback information;
the step of generating the allowance scheduling scheme by matching the cargo allowance information according to the cargo demand information specifically includes:
analyzing the goods allowance information to obtain client position information and client allowance information;
calculating logistics transportation cost between each buyer in the goods demand information according to the position information of the client;
calculating total transportation fees corresponding to different transportation schemes according to the logistics transportation fees, and generating a margin scheduling scheme;
the step of generating the directional scheduling scheme by re-matching the cargo demand information according to the allowance scheduling scheme and the cargo supply information specifically includes:
deducting the quantity of cargo scheduling in the allowance scheduling scheme from the cargo demand information, and analyzing to obtain a cargo list, a cargo receiving place and cargo purchasing time;
inquiring goods supply information according to a goods list and goods purchasing time, and determining alternative information of a supplier, wherein the alternative information of the supplier at least comprises a position of the supplier and available goods allowance;
and calculating logistics expenses corresponding to different transportation schemes according to the alternative information of the suppliers, and generating a directional scheduling scheme.
2. The intelligent supply chain management method of claim 1, wherein the steps of sending the targeted scheduling scheme to the supplier, sending the margin scheduling scheme to the client, receiving feedback information from the supplier and the buyer, and sending the feedback information include:
sending the directional scheduling scheme to a supplier, wherein the supplier sends a specified quantity of goods to a corresponding purchasing party according to the directional scheduling scheme and sends first logistics information;
sending the allowance scheduling scheme to a client, wherein the goods allowance information comes from the client, and the client calls internal redundant goods according to the allowance scheduling scheme to send the internal redundant goods to a purchasing party and sends second logistics information;
and receiving the feedback information, analyzing to obtain first logistics information and second logistics information, and respectively sending the first logistics information and the second logistics information to each purchasing party.
3. The intelligent supply chain management method of claim 2 wherein the first logistics information and the second logistics information are both transmitted using encryption.
4. The intelligent supply chain management method of claim 1, wherein if the cargo allowance contained in the cargo allowance information is zero, a directional scheduling scheme is generated according to the cargo supply information directly matching the cargo demand information.
5. An intelligent supply chain management system, the system comprising:
the information cargo module is used for acquiring cargo demand information, cargo supply information and cargo allowance information;
the allowance scheduling module is used for matching the cargo allowance information according to the cargo demand information and generating an allowance scheduling scheme;
the directional scheduling module is used for matching the cargo demand information again according to the allowance scheduling scheme and the cargo supply information to generate a directional scheduling scheme;
the scheduling feedback module is used for sending the directional scheduling scheme to a supplier, sending the margin scheduling scheme to a client, receiving feedback information from the supplier and a buyer and sending the feedback information;
the margin scheduling module comprises:
the data analysis unit is used for analyzing the goods allowance information to obtain client position information and client allowance information;
the cost calculation unit is used for calculating logistics transportation cost between each buyer in the goods demand information according to the client position information;
the scheme generation unit is used for calculating total transportation fees corresponding to different transportation schemes according to the logistics transportation fees and generating a margin scheduling scheme;
the directional scheduling module comprises:
the quantity calculation unit is used for deducting the quantity of cargo scheduling in the allowance scheduling scheme from the cargo demand information, and analyzing to obtain a cargo list, a cargo receiving place and cargo purchasing time;
the supplier selection unit is used for inquiring the goods supply information according to the goods list and the goods purchasing time and determining supplier alternative information, wherein the supplier alternative information at least comprises a supplier position and available goods allowance;
and the scheme comparison unit is used for calculating the logistics cost corresponding to different transportation schemes according to the alternative information of the supplier to generate a directional scheduling scheme.
6. The intelligent supply chain management system of claim 5, wherein the schedule feedback module comprises:
the system comprises a first sending unit, a second sending unit and a third sending unit, wherein the first sending unit is used for sending a directional scheduling scheme to a supplier, and the supplier sends a specified quantity of goods to a corresponding purchasing party according to the directional scheduling scheme and sends first logistics information;
the second sending unit is used for sending the allowance scheduling scheme to the client, the goods allowance information comes from the client, the client calls internal redundant goods according to the allowance scheduling scheme and sends the internal redundant goods to the purchasing party, and second logistics information is sent;
and the logistics feedback unit is used for receiving the feedback information, analyzing the feedback information to obtain first logistics information and second logistics information, and respectively sending the first logistics information and the second logistics information to each purchasing party.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104463354A (en) * | 2014-11-21 | 2015-03-25 | 山东航天信息有限公司 | Improving method of distributed inventory dispatching |
CN107256470A (en) * | 2017-06-05 | 2017-10-17 | 北京挖玖电子商务有限公司 | Users to share stock method |
CN110599057A (en) * | 2019-09-19 | 2019-12-20 | 珠海格力电器股份有限公司 | Order business processing method, centralized scheduling platform and computer readable storage medium |
CN112258074A (en) * | 2020-11-02 | 2021-01-22 | 汤涛 | E-commerce commodity storage logistics intelligent scheduling method based on big data analysis |
CN114219376A (en) * | 2022-02-22 | 2022-03-22 | 哈尔滨工业大学(威海) | Household appliance large-scale customized service resource scheduling method based on knowledge graph |
-
2022
- 2022-06-13 CN CN202210660161.8A patent/CN114742486A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104463354A (en) * | 2014-11-21 | 2015-03-25 | 山东航天信息有限公司 | Improving method of distributed inventory dispatching |
CN107256470A (en) * | 2017-06-05 | 2017-10-17 | 北京挖玖电子商务有限公司 | Users to share stock method |
CN110599057A (en) * | 2019-09-19 | 2019-12-20 | 珠海格力电器股份有限公司 | Order business processing method, centralized scheduling platform and computer readable storage medium |
CN112258074A (en) * | 2020-11-02 | 2021-01-22 | 汤涛 | E-commerce commodity storage logistics intelligent scheduling method based on big data analysis |
CN114219376A (en) * | 2022-02-22 | 2022-03-22 | 哈尔滨工业大学(威海) | Household appliance large-scale customized service resource scheduling method based on knowledge graph |
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