CN105741064B - Collaborative logistics scheduling method and system based on cloud computing idea - Google Patents
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Abstract
The invention provides a collaborative logistics scheduling method, which comprises the following steps: acquiring logistics resource information of a plurality of logistics companies, and adding the logistics resource information into a logistics resource pool; acquiring logistics demand information, and searching logistics resource information matched with the logistics demand information in the logistics resource pool; and dispatching the corresponding logistics resources to the corresponding logistics requirements according to the found logistics resource information. The method and the system realize the intercommunication of logistics resources among a plurality of logistics companies, improve the utilization rate of the logistics resources and further integrally reduce the logistics cost of the logistics industry. In addition, the invention also provides a collaborative logistics scheduling system.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a collaborative logistics scheduling method and system based on a cloud computing idea.
Background
With the rapid development of logistics technology, the demand of users on logistics is higher and higher. Logistics scheduling is one of the most important contents of logistics technology. Under the traditional logistics scheduling technology, logistics companies at home and abroad deliver goods of respective customers from a starting place to a destination, so that logistics resource islands are formed among the logistics companies. For example, some express companies are fast but not reach rural areas, while some express companies are slow but can reach rural areas, so when a customer has a demand for logistics between urban areas and rural areas, the customer can only select the slow express under the traditional logistics scheduling technology. Therefore, the traditional logistics resources in the whole logistics industry have the problem of uneven distribution, so that the logistics resource utilization rate is low, and the logistics cost is high.
Disclosure of Invention
Based on this, in order to solve the problem that the logistics resource utilization rate is low and the logistics cost is high, a collaborative logistics scheduling method and system are provided.
A collaborative logistics scheduling method, the method comprising:
acquiring logistics resource information of a plurality of logistics companies, and adding the logistics resource information into a logistics resource pool;
acquiring logistics demand information, and searching logistics resource information matched with the logistics demand information in the logistics resource pool;
and dispatching the corresponding logistics resources to the corresponding logistics requirements according to the found logistics resource information.
In one embodiment, the step of obtaining the logistics requirement information and searching the logistics resource pool for the logistics resource information matched with the logistics requirement information includes: acquiring logistics demand information, and dividing the logistics demand information into at least one piece of basic logistics demand information; and searching logistics resource information matched with the basic logistics demand information in the logistics resource pool.
In one embodiment, the step of searching the logistics resource pool for the logistics resource information matched with the basic logistics demand information includes: when the logistics resource information meeting the basic logistics demand information is not found in the logistics resource pool, calculating the matching degree between the logistics resource information in the logistics resource pool and the basic logistics demand information, and taking the logistics resource information with the maximum matching degree with the basic logistics demand information as the logistics resource information matched with the basic logistics demand information; when only one piece of logistics resource information meeting the basic logistics demand information is found in the logistics resource pool, taking the found logistics resource information as the logistics resource information matched with the basic logistics demand information; when a plurality of logistics resource information meeting the basic logistics demand information are found in the logistics resource pool, one logistics resource information with the lowest cost in the plurality of logistics resource information is used as the logistics resource information matched with the basic logistics demand information.
In one embodiment, the method further comprises: and deleting the dispatched logistics resource information in the logistics resource pool.
In one embodiment, the method further comprises: sending the found logistics resource information and the information of the logistics company to which the logistics resource information belongs to the logistics company to which the logistics demand information corresponding to the logistics resource information belongs; and sending the logistics demand information and the information of the logistics company to which the logistics demand information belongs to the corresponding searched logistics company to which the logistics resource information belongs.
A collaborative logistics scheduling system, the system comprising: the acquisition module is used for acquiring logistics resource information of a plurality of logistics companies and adding the logistics resource information into a logistics resource pool; the searching module is used for acquiring logistics demand information and searching logistics resource information matched with the logistics demand information in the logistics resource pool; and the scheduling module is used for scheduling the corresponding logistics resources to the corresponding logistics requirements according to the found logistics resource information.
In one embodiment, the lookup module further comprises: the system comprises a cutting module, a storage module and a processing module, wherein the cutting module is used for acquiring logistics demand information and dividing the logistics demand information into at least one piece of basic logistics demand information according to a preset rule; and the matching module is used for searching the logistics resource information matched with the basic logistics demand information in the logistics resource pool.
In one embodiment, the matching module is further configured to calculate a matching degree between the logistics resource information in the logistics resource pool and the basic logistics demand information when the logistics resource information meeting the basic logistics demand information is not found in the logistics resource pool, and use the logistics resource information with the highest matching degree with the basic logistics demand information as the logistics resource information matched with the basic logistics demand information; when only one piece of logistics resource information meeting the basic logistics demand information is found in the logistics resource pool, taking the found logistics resource information as the logistics resource information matched with the basic logistics demand information; when a plurality of logistics resource information meeting the basic logistics demand information are found in the logistics resource pool, one logistics resource information with the lowest cost in the plurality of logistics resource information is used as the logistics resource information matched with the basic logistics demand information.
In one embodiment, the system further comprises: and the deleting module is used for deleting the dispatched logistics resource information in the logistics resource pool.
In one embodiment, the system further comprises: the sending module is used for sending the found logistics resource information and the information of the logistics company to which the logistics resource information belongs to the logistics company to which the logistics demand information corresponding to the logistics resource information belongs; and sending the logistics demand information and the information of the logistics company to which the logistics demand information belongs to the corresponding searched logistics company to which the logistics resource information belongs.
According to the collaborative logistics scheduling method and the collaborative logistics scheduling system, the logistics resource information of a plurality of logistics companies is acquired, the logistics resource information is added into the logistics resource pool, then the logistics demand information is acquired, the logistics resource information matched with the logistics demand information is searched in the logistics resource pool, and the corresponding logistics resources are scheduled to the corresponding logistics demands according to the searched logistics resource information. Therefore, the intercommunication of logistics resources among a plurality of logistics companies is realized, the utilization rate of the logistics resources is improved, and the logistics cost of the logistics industry is reduced on the whole.
Drawings
FIG. 1 is a flow diagram of a method for collaborative logistics scheduling in one embodiment;
FIG. 2 is a flowchart of a method for finding logistics resources matching logistics demand information in one embodiment;
FIG. 3 is a block diagram of a collaborative logistics scheduling system in one embodiment;
FIG. 4 is a block diagram of the structure of a lookup module in one embodiment;
FIG. 5 is a block diagram of a collaborative logistics scheduling system in another embodiment;
fig. 6 is a block diagram of a collaborative logistics scheduling system in yet another embodiment.
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.
As shown in fig. 1, in an embodiment, a method for scheduling a collaborative logistics is provided, the method comprising:
and 102, acquiring logistics resource information of a plurality of logistics companies, and adding the logistics resource information into a logistics resource pool.
Specifically, the logistics resource information includes, but is not limited to, the following information: information on warehouse resources (such as place of stock, storage amount), information on human resources (such as number of couriers or transporters), information on capacity resources (such as vehicle-mounted, transportation route for transporting goods). The method comprises the steps of obtaining logistics resource information of a plurality of logistics companies, namely obtaining idle logistics resource information which can be provided by the logistics companies at present, and adding the obtained logistics resource information into a logistics resource pool, namely uniformly placing the logistics resource information which can be provided by the logistics companies at present in the logistics resource pool for subsequent scheduling. The core idea of cloud computing is to uniformly manage and schedule a large number of computing resources connected by a network to form a computing resource pool for users to serve as required.
And 104, acquiring logistics demand information, and searching logistics resource information matched with the logistics demand information in a logistics resource pool.
Specifically, the logistics demand information refers to information of logistics resources currently required by the logistics company, and includes information of required warehousing resources, information of human resources, and information of transportation resources, as opposed to the above logistics resource information. After the logistics demand information is acquired, the logistics resource information matched with the logistics demand information is searched in the logistics resource pool, namely, the logistics resources which can meet the logistics demand in the logistics resources provided by other logistics companies are searched.
And step 106, scheduling the corresponding logistics resources to the corresponding logistics requirements according to the found logistics resource information.
Specifically, after the logistics resource information matched with the logistics demand information is found, the corresponding logistics resources are dispatched to the company to which the corresponding logistics demand information belongs according to the found logistics resource information. Therefore, the effective integration of the logistics resources is realized, and the utilization rate of the logistics resources is improved.
In this embodiment, logistics resource information of a plurality of logistics companies is acquired, added to a logistics resource pool, and then logistics demand information is acquired, and the logistics resource information matched with the logistics demand information is searched in the logistics resource pool, and the searched logistics resource information is dispatched to the logistics demand information. The logistics scheduling is carried out based on the cloud computing idea, logistics resources of a plurality of logistics companies are managed and scheduled in a unified mode, a logistics resource pool is formed to serve users as required, the logistics resources are effectively integrated nationwide and even globally, the logistics cost is reduced, the logistics resource utilization rate is improved, the overall logistics capacity of the logistics industry is enhanced, the overall logistics cost of the logistics industry is reduced, the overall benefit of the logistics industry is improved, and meanwhile the satisfaction degree of the users to logistics is improved.
As shown in fig. 2, in an embodiment, the step of obtaining the logistics requirement information and searching the logistics resource information matched with the logistics requirement information in the logistics resource pool includes:
and 104a, acquiring logistics demand information, and dividing the logistics demand information into at least one piece of basic logistics demand information.
In this embodiment, the acquired logistics demand information is divided into one or more basic logistics demand information according to the pre-divided logistics units, and when the logistics demand information itself is a logistics unit, the logistics demand information is used as a basic logistics demand information. Specifically, the logistics unit may be a minimum road section unit, a warehouse, or a transportation person. For example, if a company a needs to transport goods from a location a to a location D, and the middle needs to pass through two locations B and C, which are divided by the smallest segment unit, the logistics requirement information can be divided into three basic logistics requirement information, i.e., a to B, B to C, C to D. For another example, if the logistics demand information of company a needs three storehouses in location a, the logistics demand information may be divided into 3 pieces of basic logistics demand information, and each piece of basic logistics demand information is one storehouse in location a. Similarly, if the logistics demand information of company b needs three transportation persons, the logistics demand information can be divided into three basic logistics demand information, and each basic logistics demand information is a transportation person.
And 104b, searching logistics resource information matched with the basic logistics demand information in the logistics resource pool.
In this embodiment, after one piece of logistics demand information is divided into a plurality of pieces of basic logistics demand information, a plurality of pieces of logistics resource information corresponding to the plurality of pieces of basic logistics demand information are respectively searched, and the plurality of pieces of searched logistics resource information are dispatched to the logistics demand together. Specifically, if one piece of logistics demand information is divided into 3 pieces of basic logistics demand information, logistics resource information matched with each piece of basic logistics demand information is searched for respectively, each piece of basic logistics demand information corresponds to one piece of matched logistics resource information, and the searched 3 pieces of logistics resources are dispatched to the logistics demand together.
In one embodiment, the step of searching logistics resource information matched with the basic logistics demand information in the logistics resource pool comprises the following steps: when the logistics resource information meeting the basic logistics demand information is not found in the logistics resource pool, calculating the matching degree between the logistics resource information in the logistics resource pool and the basic logistics demand information, and taking the logistics resource information with the maximum matching degree with the basic logistics demand information as the logistics resource information matched with the basic logistics demand information; when only one piece of logistics resource information meeting the basic logistics demand information is found in the logistics resource pool, taking the found logistics resource information as the logistics resource information matched with the basic logistics demand information; when a plurality of logistics resource information meeting the basic logistics demand information are found in the logistics resource pool, one logistics resource information with the lowest cost in the plurality of logistics resource information is used as the logistics resource information matched with the basic logistics demand information.
In this embodiment, the specific process of searching the logistics resource information matched with the basic logistics demand information is as follows: and when none of the logistics resources meets the basic logistics demand, calculating the matching degree between each logistics resource in the logistics resource pool and the basic logistics demand information. And taking the logistics resource with the maximum matching degree with the basic logistics demand information as the logistics resource matched with the basic logistics demand information. Specifically, the matching degree between each logistics resource and the basic logistics demand information can be calculated by a weighted average method, and different weight proportions can be determined according to different types of the logistics demand information. For example, when the basic logistics demand is from A to B, there is no A to B but A to B in the logistics resources1A to B2A to B3At this time, B1，B2，B3The distance to B is the most weight to be considered, B and B are calculated respectively1，B2，B3The distance between the two is the distance which is the closest to the distance B and has the maximum matching degree with the basic logistics requirement under the same other conditionsAnd (4) logistics resources. And taking the logistics resource with the maximum matching degree obtained by calculation as the logistics resource matched with the basic logistics demand information. When only one logistics resource can meet the basic logistics requirement, taking the logistics resource as the logistics resource matched with the basic logistics requirement; when more than one logistics resource can meet the basic logistics demand, the logistics resource with the lowest cost is selected from the plurality of logistics resources to serve as the logistics resource matched with the basic logistics demand.
In one embodiment, the method for scheduling a collaborative logistics further includes: and deleting the dispatched logistics resource information in the logistics resource pool.
In this embodiment, after the logistics resources found in the logistics resource pool are scheduled to the corresponding logistics demand, the logistics resource information already scheduled in the logistics resource pool is deleted. In addition, the logistics resource information of the completed task is added into the logistics resource pool, so that various logistics resources can be fully utilized, and the utilization rate of the logistics resources is improved.
In one embodiment, the method for scheduling a collaborative logistics further includes: sending the found logistics resource information and the information of the logistics company to which the logistics resource information belongs to the logistics company to which the logistics demand information corresponding to the logistics resource information belongs; and sending the logistics demand information and the information of the logistics company to which the logistics demand information belongs to the corresponding logistics company to which the searched logistics resource information belongs.
In this embodiment, after the logistics resource corresponding to the logistics demand information is found in the logistics resource pool, the found logistics resource information and the information of the company to which the logistics demand information belongs are sent to the company to which the logistics demand information belongs, and the logistics demand information and the information of the company to which the logistics demand information belongs are sent to the company to which the corresponding logistics resource belongs. After both the companies receive the information of the other company, the logistics resources can be scheduled through negotiation. Specifically, the company A has logistics resources a, the company B lacks the logistics resources a, the company B sends information for requiring the logistics resources a, the computer automatically searches corresponding logistics resources in a logistics resource pool according to the logistics requirements sent by the company B, further finds out that the company A has the idle logistics resources a, then sends the information that the company A has the logistics resources a to the company B, sends the information that the company B requires the logistics resources a to the company A, and after the company A and the company B receive the information of the other company, the specific scheduling of the logistics resources is negotiated.
In one embodiment, a comparison is made between a collaborative logistics scheduling method and a traditional logistics scheduling method. Specifically, a certain user has a logistics demand of a certain cargo from a city a to a countryside C, the express company K1 has a low freight rate, but can only transport the cargo between the city a and a city B nearest to the countryside C until the freight reaches the countryside C, and the cost for the express company K1 to transport the cargo of the user from the city a to the city B is F1; the express company K2 has higher freight cost but can go to the rural area and can transport the goods between the city A and the rural area C, and the cost for the express company K2 to transport the goods of the user from the city A to the rural area C is F2; the traditional logistics scheduling technology cannot be used for scheduling across different logistics companies and can only be used for scheduling in a logistics scheduling system of the same logistics company, so that the self capacity of the logistics company determines the satisfaction degree of the logistics requirements of users selecting the logistics company; in the traditional logistics scheduling technology, the logistics demand of the goods of the user cannot be met by an express company K1, and only the goods can be selected as an express company K2 with a required freight rate F2; the collaborative logistics scheduling system based on the cloud computing idea decomposes the logistics demand of the goods of the user and then schedules the goods to the 2 companies, specifically: the cost for the courier company K1 to transport the user's goods from city A to city B is F3, the cost for the courier company K2 to transport the user's goods from city B to rural C is F4, obviously F2-F4 is the cost for the courier company K2 to transport the user's goods from city A to city B, and since the freight cost of the courier company K1 is lower than that of the courier company K2, the cost for the courier company K2 to transport the user's goods from city A to city B (F2-F4) is higher than that of the courier company K1 to transport the user's goods from city A to city B (F3), so F2-F4> F3, namely F2> F3+ F4; in the embodiment of the present invention, the freight rate of the logistics requirement of the user for the goods is F3+ F4, and the freight rate of the logistics requirement of the user for the goods in the conventional logistics scheduling technology is F2, so for the logistics requirement of the user for the goods, the embodiment of the present invention has lower freight rate and more cost saving than the conventional logistics scheduling technology.
As shown in fig. 3, in one embodiment, a collaborative logistics scheduling system is provided, the system comprising:
an obtaining module 302, configured to obtain logistics resource information of multiple logistics companies, and add the logistics resource information to a logistics resource pool;
the searching module 304 is configured to obtain logistics demand information, and search, in the logistics resource pool, logistics resource information matched with the logistics demand information;
and the scheduling module 306 is configured to schedule the corresponding logistics resources to the corresponding logistics requirements according to the found logistics resource information.
As shown in fig. 4, in one embodiment, the lookup module 304 further comprises:
the cutting module 304a is configured to obtain logistics demand information, and divide the logistics demand information into at least one piece of basic logistics demand information according to a preset rule;
the matching module 304b is configured to search the logistics resource information matched with the basic logistics demand information in the logistics resource pool.
In an embodiment, the matching module is further configured to calculate a matching degree between the logistics resources in the logistics resource pool and the basic logistics demand information when the logistics resource information meeting the basic logistics demand information is not found in the logistics resource pool, and take the logistics resource information with the largest matching degree with the basic logistics demand information as the logistics resource information matched with the basic logistics demand information; when only one piece of logistics resource information meeting the basic logistics demand information is found in the logistics resource pool, taking the found logistics resource information as the logistics resource information matched with the basic logistics demand information; when a plurality of logistics resource information meeting the basic logistics demand information are found in the logistics resource pool, one logistics resource information with the lowest cost in the plurality of logistics resource information is used as the logistics resource information matched with the basic logistics demand information.
As shown in fig. 5, in an embodiment, the above-mentioned collaborative logistics scheduling system further includes: and a deleting module 307, configured to delete the scheduled logistics resource information in the logistics resource pool.
As shown in fig. 6, in an embodiment, the above-mentioned collaborative logistics scheduling system further includes: a sending module 308, configured to send the found logistics resource information and information of the logistics company to which the logistics resource information belongs to the logistics company to which the logistics demand information corresponding to the logistics resource information belongs; and sending the logistics demand information and the information of the logistics company to which the logistics demand information belongs to the corresponding searched logistics company to which the logistics resource information belongs.
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.
Claims (10)
1. A collaborative logistics scheduling method, the method comprising:
acquiring logistics resource information of a plurality of logistics companies, and adding the logistics resource information into a logistics resource pool; the logistics resource information is information of idle logistics resources which can be provided by the logistics companies, and the logistics resource information comprises information of warehousing resources, information of human resources and information of transportation resources of the logistics companies; the logistics resource pool is a computing resource formed by uniformly managing and scheduling computing resources connected by a network;
acquiring logistics demand information, and searching logistics resource information matched with the logistics demand information in the logistics resource pool; the logistics demand information refers to information of logistics resources currently required by the logistics company; the logistics demand information comprises information of warehousing resources, information of human resources and information of transportation resources which are currently required by the logistics company;
according to the found logistics resource information, corresponding logistics resources are dispatched to the company to which the corresponding logistics demand information belongs, and the method comprises the following steps:
dividing the acquired logistics demand information into one or more basic logistics demand information according to pre-divided logistics units, taking the logistics demand information as the basic logistics demand information when the logistics demand information is a logistics unit, wherein the logistics unit is a minimum road section unit, a warehouse or a transport person, and searching logistics resource information matched with the basic logistics demand information in a logistics resource pool;
the collaborative logistics scheduling method further comprises the following steps:
sending the found logistics resource information and the information of the logistics company to which the logistics resource information belongs to the logistics company to which the logistics demand information corresponding to the logistics resource information belongs; and simultaneously, sending the logistics demand information and the information of the logistics company to which the logistics demand information belongs to the corresponding searched logistics company to which the logistics resource information belongs.
2. The method according to claim 1, wherein the step of searching the logistics resource pool for the logistics resource information matching with the basic logistics demand information comprises:
when the logistics resource information meeting the basic logistics demand information is not found in the logistics resource pool, calculating the matching degree between the logistics resource information in the logistics resource pool and the basic logistics demand information, and taking the logistics resource information with the maximum matching degree with the basic logistics demand information as the logistics resource information matched with the basic logistics demand information;
when only one piece of logistics resource information meeting the basic logistics demand information is found in the logistics resource pool, taking the found logistics resource information as the logistics resource information matched with the basic logistics demand information;
when a plurality of logistics resource information meeting the basic logistics demand information are found in the logistics resource pool, one logistics resource information with the lowest cost in the plurality of logistics resource information is used as the logistics resource information matched with the basic logistics demand information.
3. The method of claim 2, wherein the calculating the matching degree between the logistics resource information in the logistics resource pool and the basic logistics demand information comprises:
and calculating the matching degree between each logistics resource information in the logistics resource pool and the basic logistics demand information through weighted average.
4. The method of claim 1, further comprising:
and deleting the dispatched logistics resource information in the logistics resource pool.
5. A collaborative logistics scheduling system, the system comprising:
the acquisition module is used for acquiring logistics resource information of a plurality of logistics companies and adding the logistics resource information into a logistics resource pool; the logistics resource information is information of idle logistics resources which can be provided by the logistics companies, and the logistics resource information comprises information of warehousing resources, information of human resources and information of transportation resources of the logistics companies; the logistics resource pool is a computing resource formed by uniformly managing and scheduling computing resources connected by a network;
the searching module is used for acquiring logistics demand information and searching logistics resource information matched with the logistics demand information in the logistics resource pool; the logistics demand information refers to information of logistics resources currently required by the logistics company; the logistics demand information comprises information of warehousing resources, information of human resources and information of transportation resources which are currently required by the logistics company;
the scheduling module is used for scheduling the corresponding logistics resources to the company to which the corresponding logistics demand information belongs according to the found logistics resource information, and comprises the following steps:
dividing the acquired logistics demand information into one or more basic logistics demand information according to pre-divided logistics units, taking the logistics demand information as the basic logistics demand information when the logistics demand information is a logistics unit, wherein the logistics unit is a minimum road section unit, a warehouse or a transport person, and searching logistics resource information matched with the basic logistics demand information in a logistics resource pool;
the collaborative logistics scheduling system further comprises:
the sending module is used for sending the found logistics resource information and the information of the logistics company to which the logistics resource information belongs to the logistics company to which the logistics demand information corresponding to the logistics resource information belongs; and simultaneously, sending the logistics demand information and the information of the logistics company to which the logistics demand information belongs to the corresponding searched logistics company to which the logistics resource information belongs.
6. The system according to claim 5, wherein the matching module is further configured to calculate a matching degree between the logistics resource information in the logistics resource pool and the basic logistics demand information when the logistics resource information meeting the basic logistics demand information is not found in the logistics resource pool, and take the logistics resource information with the highest matching degree with the basic logistics demand information as the logistics resource information matched with the basic logistics demand information; when only one piece of logistics resource information meeting the basic logistics demand information is found in the logistics resource pool, taking the found logistics resource information as the logistics resource information matched with the basic logistics demand information; when a plurality of logistics resource information meeting the basic logistics demand information are found in the logistics resource pool, one logistics resource information with the lowest cost in the plurality of logistics resource information is used as the logistics resource information matched with the basic logistics demand information.
7. The system of claim 6, wherein the matching module is further configured to calculate a matching degree between each logistics resource information in the logistics resource pool and the basic logistics demand information by weighted average.
8. The system of claim 5, further comprising:
and the deleting module is used for deleting the dispatched logistics resource information in the logistics resource pool.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 4.
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| CN102999834A (en) * | 2012-12-18 | 2013-03-27 | 江苏乐买到网络科技有限公司 | Distributed logistics information management system |
| CN104463379A (en) * | 2014-12-31 | 2015-03-25 | 广东易富网络科技有限公司 | Associated logistics transportation optimized dispatching method with time-varying demand |
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| CN102999834A (en) * | 2012-12-18 | 2013-03-27 | 江苏乐买到网络科技有限公司 | Distributed logistics information management system |
| CN104463379A (en) * | 2014-12-31 | 2015-03-25 | 广东易富网络科技有限公司 | Associated logistics transportation optimized dispatching method with time-varying demand |
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