Remote dispatching collection and distribution warehouse site selection planning method and device and electronic equipment

Abstract

The invention discloses a site selection planning method and device for a remote dispatching collection and distribution warehouse, and electronic equipment. The method comprises the following steps: in response to collection and distribution warehouse site selection request data, obtaining cost-related data corresponding to a plurality of selectable positions in the collection and distribution warehouse site selection request data, the cost-related data comprises vehicle cost-related data, fuel maintenance tire cost-related data, driver cost-related data, storage cost-related data and fine road toll data; based on the cost-related data corresponding to the plurality of selectable positions, respectively determining small-range goods collection cost data corresponding to the plurality of selectable positions; and based on the small-range goods collection cost data corresponding to the plurality of selectable positions, determining an optimal position and selecting the optimal position as a final collection and distribution warehouse. The technical problems of warehouse cost waste and in-transit transportation cost waste caused by the prior art are solved.

Description

Technical Field

[0001] The present invention relates to the field of warehousing and logistics technology, and in particular to a method, device and electronic equipment for site selection planning of a remote distribution warehouse. Background Art

[0002] In the existing automotive logistics industry, the off-site distribution and pickup of parts is mainly completed by logistics transport companies. Off-site distribution can generally be divided into two parts: off-site pickup and trunk transportation. Logistics transport companies generally establish distribution warehouses at the center or near the pickup location to carry out small-scale circular pickup. After picking up the goods from the supplier to the distribution warehouse, the goods are transferred to the trunk transport vehicle and transported to the destination to complete the business.

[0003] The existing off-site distribution warehouse site selection planning is mostly completed using methods such as the center of gravity method, which only considers the logistics intensity, and does not consider the distribution warehouse site selection in detail and scientifically in combination with factors such as transportation time, land prices, and local labor costs, which affects the cost.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present invention provide a method, device and electronic equipment for site selection planning of a remote distribution warehouse, so as to at least solve the technical problems of waste of warehouse costs and waste of in-transit transportation costs caused by the prior art.

[0006] According to one aspect of an embodiment of the present invention, a method for site selection planning of a distribution warehouse for off-site distribution is provided, comprising: in response to distribution warehouse site selection request information, obtaining location information of suppliers in a target area and location information of an original distribution warehouse; determining the location of the initial distribution warehouse from the location information of the suppliers in the target area and the location information of the original distribution warehouse using a centroid method; based on the location of the initial distribution warehouse, determining cost information of a distribution vehicle traveling from the initial distribution warehouse to a target location; and based on the cost information, determining the location of a final distribution warehouse from the initial distribution warehouse.

[0007] Furthermore, based on the location of the initial distribution warehouse, the cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination is determined, including: based on the location of the initial distribution warehouse, the vehicle usage cost information, driver cost information, storage cost information, fixed cost information and consumable cost information in the cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination are determined, wherein the fixed cost information includes at least surplus cost information and road cost information, and the consumable cost information includes at least fuel cost information and tire repair cost information.

[0008] Furthermore, determining the vehicle usage cost information in the cost information includes: obtaining the total volume of cargo within the OEM's pickup cycle, the volume inside the vehicle compartment of the vehicle model used for trunk transportation, the standard loading rate of trunk transportation, the trunk transportation time, the volume of cargo picked up within the supplier's cycle, the single-trip transportation time between the vehicle and the distribution warehouse and the supplier, the volume inside the vehicle compartment of the vehicle model used for collection at the distribution warehouse, the standard loading rate of the distribution mode vehicle model, the single-vehicle transportation cost of the vehicle model used for pickup, and the single-vehicle cost of the vehicle model used for trunk transportation; based on the total volume of cargo, the volume inside the vehicle compartment of the vehicle model used for trunk transportation, the standard loading rate of trunk transportation, the trunk transportation time, the off-site pickup cycle, the volume of cargo picked up within the supplier's cycle, the single-trip transportation time between the vehicle and the distribution warehouse and the supplier, the volume inside the vehicle compartment of the vehicle model used for collection at the distribution warehouse, the standard loading rate of the distribution mode vehicle model, the single-vehicle transportation cost of the vehicle model used for pickup, and the single-vehicle cost of the vehicle model used for trunk transportation, determine the vehicle usage cost information in the cost information.

[0009] Furthermore, determining the driver cost information in the cost information includes: obtaining the long-distance driver cost, short-distance driver cost and shifts within the OEM pickup cycle, and determining the driver cost information in the cost information based on the long-distance driver salary, the long-distance driver cost, the short-distance driver cost, the total volume of cargo within the cycle, the trunk transportation time, the volume inside the vehicle body of the vehicle type used for the trunk transportation, the standard loading rate of the trunk transportation, the off-site pickup cycle, the volume of cargo picked up within the cycle, the single-trip transportation time between the vehicle and the distribution warehouse and the supplier, the volume inside the vehicle body of the vehicle type used for collection at the distribution warehouse, the standard loading rate of the distribution mode vehicle type and the shifts.

[0010] Furthermore, determining the consumables cost information in the cost information includes: obtaining a mileage proportional constant within the OEM's pickup cycle; determining the consumables cost information in the cost information based on the mileage proportional constant, the pickup volume of the supplier within the cycle, and the single-trip transportation time of the vehicle between the distribution warehouse and the supplier.

[0011] Furthermore, determining the warehousing cost information in the cost information includes: obtaining the unit rental price of the distribution warehouse, the area required for storage in the distribution warehouse and the process cost within the main factory's pickup cycle, the process cost at least including the process personnel cost and the process equipment cost; based on the unit rental price of the distribution warehouse, the area required for storage in the distribution warehouse and the process cost, determining the warehousing cost information in the cost information.

[0012] According to another aspect of an embodiment of the present invention, a device for site selection planning of a distribution warehouse for remote distribution is also provided, including: an acquisition module, used to obtain location information of suppliers in a target area and location information of an original distribution warehouse in response to distribution warehouse site selection request information; a search module, used to determine the location of the initial distribution warehouse from the location information of the suppliers in the target area and the location information of the original distribution warehouse by using the center of gravity method; a calculation module, used to determine the cost information of a distribution vehicle traveling from the initial distribution warehouse to the target location based on the location of the initial distribution warehouse; and a determination module, used to determine the location of the final distribution warehouse from the initial distribution warehouse based on the cost information.

[0013] According to another aspect of an embodiment of the present invention, there is also provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein when the program is running, the method for site selection and planning of a remote distribution warehouse in each embodiment of the present invention is executed.

[0014] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided, and the computer-readable storage medium includes a stored executable program, wherein when the executable program is running, the device where the computer-readable storage medium is located is controlled to execute the off-site distribution warehouse site selection planning method in each embodiment of the present invention.

[0015] According to another aspect of an embodiment of the present invention, a computer program product is also provided, including a computer program, which, when executed by a processor, implements the method for site selection planning of a remote distribution warehouse in each embodiment of the present invention.

[0016] In an embodiment of the present invention, in response to the distribution warehouse site selection request information, the location information of the supplier in the target area and the location information of the original distribution warehouse are obtained, and the location of the initial distribution warehouse is determined from the location information of the supplier in the target area and the location information of the original distribution warehouse by using the center of gravity method. Based on the location of the initial distribution warehouse, the cost information of the distribution vehicle picking up the goods from the supplier to the initial distribution warehouse and then transferring the goods to the target place is determined, and the location of the final distribution warehouse is determined from the initial distribution warehouse based on the cost information. After the site selection point of a supplier in a certain area of ​​a different place is preliminarily confirmed by the center of gravity method, the site selection of the distribution warehouse is further considered to control the overall cost, thereby achieving the technical effect of selecting the distribution warehouse location based on the premise of optimizing cost and reducing the overall logistics cost, thereby solving the technical problems of warehouse cost waste and in-transit transportation cost waste caused by the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0018] Figure 1 It is a schematic diagram of a method for site selection and planning of a remote distribution warehouse according to one embodiment of the present invention;

[0019] Figure 2 It is a flowchart of another method for site selection and planning of a remote distribution warehouse according to one embodiment of the present invention;

[0020] Figure 3 It is a structural block diagram of a remote distribution warehouse site selection planning device according to one embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0023] According to an embodiment of the present invention, a method embodiment of a method for site selection planning of a remote distribution warehouse is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0024] The method embodiment can be executed in an electronic device or a similar computing device including a memory and a processor. Taking running on a terminal as an example, the terminal may include one or more processors (processors may include but are not limited to central processing units (CPU), graphics processing units (GPU), digital signal processing (DSP) chips, microprocessors (MCU), programmable logic devices (Field Programmable Gate Array, FPGA), neural network processors (Neural-network Processor Unit, NPU), tensor processors (Tensor Processing Unit, TPU), artificial intelligence (Artificial Intelligence, AI) type processors and other processing devices) and a memory for storing data. Optionally, the above-mentioned vehicle terminal may also include a transmission device, an input and output device, and a display device for communication functions. It can be understood by those of ordinary skill in the art that the above-mentioned structural description is only for illustration and does not limit the structure of the above-mentioned vehicle terminal. For example, the terminal may also include more or fewer components than the above-mentioned structural description, or have a configuration different from the above-mentioned structural description.

[0025] The memory can be used to store computer programs, for example, software programs and modules of application software, such as a computer program corresponding to a method for site selection and planning of a remote distribution warehouse in an embodiment of the present invention. The processor executes various functional applications and data processing by running the computer program stored in the memory, that is, realizing the above-mentioned method for site selection and planning of a remote distribution warehouse. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the mobile terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0026] The transmission device is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0027] The display device may be, for example, a touch screen type liquid crystal display (LCD) and a touch display (also referred to as a "touch screen" or "touch display screen"). The liquid crystal display may enable a user to interact with a user interface of a mobile terminal. In some embodiments, the mobile terminal has a graphical user interface (GUI), and a user may interact with the GUI by finger contacts and / or gestures on a touch-sensitive surface, wherein the human-computer interaction functions here may optionally include the following interactions: creating web pages, drawing, word processing, making electronic documents, games, video conferencing, instant messaging, sending and receiving emails, call interfaces, playing digital videos, playing digital music and / or web browsing, etc. The executable instructions for executing the above human-computer interaction functions are configured / stored in a computer program product or readable storage medium executable by one or more processors.

[0028] Figure 1 is a flow chart of a method for site selection and planning of a remote distribution warehouse according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0029] Step S10, in response to the distribution warehouse location selection request information, obtaining the location information of the supplier in the target area and the location information of the original distribution warehouse;

[0030] In step S10, the target area may be determined by the corresponding logistics company entity based on the location proximity of the existing original distribution warehouses in each region, and the supplier's location information may be information such as the supplier's location coordinates pre-entered in the target area.

[0031] Step S12, determining the location of the initial distribution warehouse from the location information of the supplier in the target area and the location information of the original distribution warehouse by using the centroid method;

[0032] In step S12, the centroid method is a method for finding the locations of multiple initial distribution warehouses through the supplier's location coordinates, parts demand and location information of the original distribution warehouse. This method is common knowledge among people in this field and will not be described in detail.

[0033] Step S14, based on the location of the initial distribution warehouse, determining the cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination;

[0034] In step S14, the distribution vehicle driving from the initial distribution warehouse to the destination mainly includes the following routes: the distribution vehicle drives from the corresponding initial distribution warehouse to the supplier to load the parts and then transports them back to the corresponding initial distribution warehouse, and the parts at the corresponding initial distribution warehouse are transported to the destination by large vehicles using the trunk transportation mode. The destination can be the distribution warehouse within the main engine factory or the main engine factory.

[0035] Therefore, based on the location of the initial distribution warehouse, the cost information generated by the distribution vehicles traveling the above-mentioned path corresponding to each initial distribution warehouse location is determined, including the vehicle use cost information, driver cost information, storage cost information, fixed cost information, and consumables cost information. Among them, the fixed cost information corresponding to the location of each initial distribution warehouse at least includes the surplus cost information and the road cost information, and the surplus cost information at least includes: insurance, vehicle and vessel tax, and parking fee.

[0036] Based on the location of the initial distribution warehouse, the vehicle use cost information in the cost information is determined in the following way:

[0037] The OEM pickup cycle is based on the pickup plan issued by the OEM for a certain period. In order to meet the cargo volume of the corresponding period, the transporter picks up the goods through the above-mentioned pickup route. Therefore, it is necessary to obtain the total volume of goods in the OEM pickup cycle, the volume of the vehicle used for trunk transportation, the standard loading rate of trunk transportation, the trunk transportation time, the volume of goods picked up by the supplier during the cycle, the single-trip transportation time between the vehicle and the distribution warehouse, the volume of the vehicle used for distribution warehouse collection, the standard loading rate of the distribution mode vehicle, the transportation cost of the vehicle used for pickup, and the cost of the vehicle used for trunk transportation.

[0038] Based on the total volume of goods within the OEM's pickup cycle, the volume of the vehicle used for trunk transportation, the standard loading rate of trunk transportation, trunk transportation time, the off-site pickup cycle, the volume of goods picked up by the supplier within the cycle, the single-trip transportation time between the vehicle and the distribution warehouse, the volume of the vehicle used for distribution warehouse collection, the standard loading rate of the distribution mode vehicle, the transportation cost of the vehicle used for pickup and the vehicle cost of the vehicle used for trunk transportation, the vehicle usage cost information in the cost information corresponding to the location of each initial distribution warehouse is determined by formula (1):

[0039]

[0040] Where: S 车j is the vehicle usage cost corresponding to the jth initial distribution warehouse location, C1 is the vehicle cost of the trunk line transportation model, V 总 is the total volume of cargo, h0 is the trunk line transportation time, V 车 is the volume of the vehicle used for trunk transportation, V0 is the standard loading rate for trunk transportation, H is the pickup cycle of the OEM, and C2 is the cost of a single vehicle used for pickup. i is the volume of goods picked up by the i-th supplier during the period; t i V is the single trip transportation time between the distribution warehouse and the supplier; 车’ V is the volume of the vehicle used for cargo collection in the distribution warehouse; 0’ is the standard loading rate of the distribution mode vehicle, j, i and n are all positive integers.

[0041] In another embodiment of the present invention, based on the location of the initial distribution warehouse, the consumables cost information in the cost information is determined in the following manner:

[0042] The consumables cost information includes at least fuel cost information and tire repair cost information. The mileage proportional constant within the OEM pickup cycle is obtained. Based on the mileage proportional constant, the pickup volume of the supplier within the cycle, and the single-trip transportation time between the vehicle distribution warehouse and the supplier, the consumables cost information in the cost information corresponding to the location of each initial distribution warehouse is determined by formula (2):

[0043]

[0044] Where: S 燃j is the fuel, maintenance and tire cost corresponding to the jth initial distribution warehouse location, M is the mileage proportional constant, that is, fuel, maintenance and tire costs are generally proportional to the mileage, V i is the volume of goods picked up by the i-th supplier during the period; t i It is the single-trip transportation time between the distribution warehouse and the supplier.

[0045] In another embodiment of the present invention, based on the location of the initial distribution warehouse, the driver cost information in the cost information is determined in the following manner:

[0046] Obtain the long-distance driver cost, short-distance driver cost and shifts within the OEM pickup cycle. Based on the long-distance driver salary, long-distance driver cost, short-distance driver cost, total cargo volume within the cycle, trunk transportation time, volume of the vehicle used for trunk transportation, standard loading rate of trunk transportation, off-site dispatching and pickup cycle, volume of cargo picked up within the cycle, single-trip transportation time between the distribution warehouse and the supplier, volume of the vehicle used for distribution warehouse collection, standard loading rate and shifts of the distribution model, the driver cost information in the cost information corresponding to each initial distribution warehouse location is determined by formula (3):

[0047]

[0048] Where: S 司j is the driver cost corresponding to the jth initial distribution warehouse location, C3 is the long-distance driver salary, V 总 is the total volume of cargo, h0 is the trunk line transportation time, V 车 is the volume of the vehicle used for trunk transportation, V0 is the standard loading rate for trunk transportation, H is the pickup cycle of the main engine factory, C4 is the salary of the short-distance driver, P is the shift, V i is the volume of goods picked up by the i-th supplier during the period; t i V is the single trip transportation time between the distribution warehouse and the supplier; 车’ V is the volume of the vehicle used for cargo collection in the distribution warehouse; 0’ is the standard loading rate of the distribution mode vehicle, j, i and n are all positive integers.

[0049] In another embodiment of the present invention, based on the location of the initial distribution warehouse, the storage cost information in the cost information is determined in the following manner:

[0050] Obtain the rental price of the distribution warehouse, the storage area required for the distribution warehouse and the process cost within the OEM pickup cycle. The process cost includes at least the process personnel cost and the process equipment cost. Based on the rental price of the distribution warehouse, the storage area required for the distribution warehouse and the process cost, determine the storage cost information in the cost information. Determine the storage cost information in the cost information corresponding to the location of each initial distribution warehouse by formula (4):

[0051] S 仓j =U*R+G(4)

[0052] Where: S 仓j is the storage cost corresponding to the jth initial distribution warehouse location, U is the rental unit price of the distribution warehouse corresponding to the jth initial distribution warehouse location, R is the area required for distribution warehouse storage, and G is the process cost.

[0053] Based on the above vehicle usage cost information, driver cost information, storage cost information, fixed cost information and consumables cost information, the cost information of the distribution vehicle corresponding to the location of each initial distribution warehouse from the initial distribution warehouse to the destination is determined by formula (5):

[0054] S 集j =S 车j +S 燃j +S 司j +S 仓j +S 固j (5)

[0055] Where: S 集j It is the cost of the distribution vehicle corresponding to the jth initial distribution warehouse location to travel from the initial distribution warehouse to the destination.

[0056] Step S16, determining the location of the final distribution warehouse from the initial distribution warehouse based on the cost information;

[0057] In step S16, the distribution warehouse position corresponding to the multiple initial distribution warehouse positions obtained in step S14 is selected as the optimal position and selected as the final distribution warehouse from the costs of the distribution vehicles traveling from the initial distribution warehouse to the destination.

[0058] Based on the above steps S10 to S16, in an embodiment of the present invention, when responding to the distribution warehouse site selection request information, the location information of the suppliers in the target area and the location information of the original distribution warehouse are obtained, and the location of the initial distribution warehouse is determined from the location information of the suppliers in the target area and the location information of the original distribution warehouse by using the center of gravity method, and the cost information of the distribution vehicle traveling from the initial distribution warehouse to the target place is determined based on the location of the initial distribution warehouse. The location of the final distribution warehouse is determined from the initial distribution warehouse based on the cost information, and the purpose of controlling the overall cost by further considering the site selection of the distribution warehouse after the center of gravity method is used to preliminarily confirm the site selection point for the supplier in a certain area of ​​a different place is achieved, thereby achieving the technical effect of selecting a better distribution warehouse location based on the premise of optimizing cost and reducing the overall logistics cost, thereby solving the technical problem of waste of warehouse costs and waste of in-transit transportation costs caused by the existing site selection planning of distribution warehouses in different places being mostly completed by the center of gravity method and other methods, which only considers the logistics intensity and lacks consideration of local special conditions.

[0059] Figure 2 FIG. 1 is a flowchart of another method for site selection and planning of a remote distribution warehouse according to one embodiment of the present invention. Figure 2 As shown, the method comprises the following steps:

[0060] Step S201, in response to the distribution warehouse location selection request information, obtaining the location information of the supplier in the target area and the location information of the original distribution warehouse;

[0061] Step S202, determining the location of the initial distribution warehouse from the location information of the supplier in the target area and the location information of the original distribution warehouse by using the centroid method;

[0062] Step S203, based on the location of the initial distribution warehouse, determining the vehicle use cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination;

[0063] Step S204, based on the location of the initial distribution warehouse, determining the driver cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination;

[0064] Step S205, based on the location of the initial distribution warehouse, determining the storage cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination;

[0065] Step S206, based on the location of the initial distribution warehouse, determining the fixed cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination;

[0066] Step S207, based on the location of the initial distribution warehouse, determining the consumables cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination;

[0067] Step S208, determining cost information of a distribution vehicle traveling from the initial distribution warehouse to a destination based on the vehicle use cost information, the driver cost information, the storage cost information, the fixed cost information, and the consumables cost information;

[0068] Step S209: determining the location of the final distribution warehouse from the initial distribution warehouse based on the cost information.

[0069] Based on the above steps S201 to S209, in an embodiment of the present invention, when responding to the distribution warehouse site selection request information, the location information of the suppliers in the target area and the location information of the original distribution warehouse are obtained, and the location of the initial distribution warehouse is determined from the location information of the suppliers in the target area and the location information of the original distribution warehouse by using the center of gravity method, and the cost information of the distribution vehicle traveling from the initial distribution warehouse to the target location is determined based on the location of the initial distribution warehouse. The location of the final distribution warehouse is determined from the initial distribution warehouse based on the cost information, and the purpose of controlling the overall cost by further considering the site selection of the distribution warehouse after the center of gravity method is used to preliminarily confirm the site selection point for the supplier in a certain area of ​​a different place is achieved, thereby achieving the technical effect of selecting a better distribution warehouse location based on the premise of optimizing cost and reducing the overall logistics cost, thereby solving the technical problem of waste of warehouse costs and waste of in-transit transportation costs caused by the existing site selection planning of distribution warehouses in different places being mostly completed by the center of gravity method and other methods, which only considers the logistics intensity and lacks consideration of local special conditions.

[0070] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0071] In an embodiment of the present invention, a device for site selection and planning of a remote distribution warehouse is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and will not be repeated hereafter. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0072] Figure 3 1 is a structural block diagram of a remote distribution warehouse location planning device according to one embodiment of the present invention. Figure 3 As shown, the device comprises:

[0073] The acquisition module 301 is used to obtain the location information of the supplier in the target area and the location information of the original distribution warehouse in response to the distribution warehouse location selection request information;

[0074] A search module 302 is used to determine the location of the initial distribution warehouse from the location information of the supplier in the target area and the location information of the original distribution warehouse by using the center of gravity method;

[0075] A calculation module 303 is used to determine the cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination based on the location of the initial distribution warehouse;

[0076] The determination module 304 is used to determine the location of the final distribution warehouse from the initial distribution warehouse based on the cost information.

[0077] Furthermore, the calculation module 303 is also used to determine the vehicle usage cost information, driver cost information, storage cost information, fixed cost information and consumable cost information in the cost information of the distribution vehicle traveling from the initial distribution warehouse to the target destination based on the location of the initial distribution warehouse, wherein the fixed cost information includes at least the remaining cost information and the road cost information, and the consumable cost information includes at least the fuel cost information and the tire repair cost information.

[0078] Furthermore, the calculation module 303 is also used to obtain the total volume of cargo within the main plant's pickup cycle, the volume inside the vehicle compartment of the vehicle model used for trunk transportation, the standard loading rate of trunk transportation, the trunk transportation time, the volume of cargo picked up within the supplier's cycle, the single-trip transportation time between the vehicle and the distribution warehouse and the supplier, the volume inside the vehicle compartment of the vehicle model used for collection at the distribution warehouse, the standard loading rate of the distribution mode vehicle model, the single-vehicle transportation cost of the vehicle model used for pickup, and the single-vehicle cost of the vehicle model used for trunk transportation; based on the total volume of cargo, the volume inside the vehicle compartment of the vehicle model used for trunk transportation, the standard loading rate of trunk transportation, the trunk transportation time, the off-site pickup cycle, the volume of cargo picked up within the supplier's cycle, the single-trip transportation time between the vehicle and the distribution warehouse and the supplier, the volume inside the vehicle compartment of the vehicle model used for collection at the distribution warehouse, the standard loading rate of the distribution mode vehicle model, the single-vehicle transportation cost of the vehicle model used for pickup, and the single-vehicle cost of the vehicle model used for trunk transportation, the vehicle usage cost information in the cost information is determined.

[0079] Furthermore, the calculation module 303 is also used to obtain the long-distance driver cost, short-distance driver cost and shifts within the OEM's pickup cycle, and determine the driver cost information in the cost information based on the long-distance driver cost, the short-distance driver cost, the total volume of cargo within the cycle, the trunk transportation time, the volume inside the vehicle compartment of the vehicle model used for the trunk transportation, the standard loading rate of the trunk transportation, the off-site pickup cycle, the volume of cargo picked up within the cycle, the single-trip transportation time between the vehicle and the distribution warehouse and the supplier, the volume inside the vehicle compartment of the vehicle model used for collection at the distribution warehouse, the standard loading rate of the distribution mode vehicle model and the shifts.

[0080] Furthermore, the calculation module 303 is also used to obtain the mileage proportional constant within the OEM's pickup cycle; based on the mileage proportional constant, the pickup volume of the supplier within the cycle and the single-trip transportation time of the vehicle between the distribution warehouse and the supplier, determine the consumables cost information in the cost information.

[0081] Furthermore, the calculation module 303 is also used to obtain the unit price of the distribution warehouse rental, the area required for distribution warehouse storage and the process cost within the main factory's pickup cycle, and the process cost at least includes the process personnel cost and the process equipment cost; based on the unit price of the distribution warehouse rental, the area required for distribution warehouse storage and the process cost, the storage cost information in the cost information is determined.

[0082] It should be noted that the above modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0083] According to one embodiment of the present invention, there is also provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein the above-mentioned remote distribution warehouse site selection planning method is executed when the program is running.

[0084] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0085] Step S1, in response to the distribution warehouse location selection request information, obtaining the location information of the supplier in the target area and the location information of the original distribution warehouse;

[0086] Step S2, determining the location of the initial distribution warehouse from the location information of the supplier in the target area and the location information of the original distribution warehouse by using the centroid method;

[0087] Step S3, based on the location of the initial distribution warehouse, determining the cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination;

[0088] Step S4: determining the location of the final distribution warehouse from the initial distribution warehouse based on the cost information.

[0089] According to one embodiment of the present invention, a computer-readable storage medium is also provided, which includes a stored executable program, wherein when the executable program is running, the device where the storage medium is located is controlled to execute the above-mentioned remote distribution warehouse site selection planning method.

[0090] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0091] Step S1, in response to the distribution warehouse location selection request information, obtaining the location information of the supplier in the target area and the location information of the original distribution warehouse;

[0092] Step S2, determining the location of the initial distribution warehouse from the location information of the supplier in the target area and the location information of the original distribution warehouse by using the centroid method;

[0093] Step S3, based on the location of the initial distribution warehouse, determining the cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination;

[0094] Step S4: determining the location of the final distribution warehouse from the initial distribution warehouse based on the cost information.

[0095] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store computer programs.

[0096] According to one embodiment of the present invention, there is also provided a computer program product, including a computer program, which implements the above-mentioned remote distribution warehouse site selection planning method when executed by a processor.

[0097] Optionally, in this embodiment, the computer program product may be configured as a computer program for executing the following steps:

[0098] Step S1, in response to the distribution warehouse location selection request information, obtaining the location information of the supplier in the target area and the location information of the original distribution warehouse;

[0099] Step S2, determining the location of the initial distribution warehouse from the location information of the supplier in the target area and the location information of the original distribution warehouse by using the centroid method;

[0100] Step S3, based on the location of the initial distribution warehouse, determining the cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination;

[0101] Step S4: determining the location of the final distribution warehouse from the initial distribution warehouse based on the cost information.

[0102] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0103] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0104] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0105] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0106] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0107] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0108] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for site selection and planning of a remote distribution warehouse, characterized in that: include: In response to the distribution warehouse location selection request information, obtain the location information of the supplier in the target area and the location information of the original distribution warehouse; Determine the location of the initial distribution warehouse from the location information of the supplier in the target area and the location information of the original distribution warehouse by using the center of gravity method; Based on the location of the initial distribution warehouse, determining the cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination; Based on the cost information, the location of the final distribution warehouse is determined from the initial distribution warehouse.

2. The method for site selection and planning of a remote distribution warehouse according to claim 1, characterized in that: Based on the location of the initial distribution warehouse, determining the cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination includes: Based on the location of the initial distribution warehouse, determine the vehicle usage cost information, driver cost information, storage cost information, fixed cost information and consumable cost information in the cost information of the distribution vehicle traveling from the initial distribution warehouse to the target destination, wherein the fixed cost information at least includes surplus cost information and road cost information, and the consumable cost information at least includes fuel cost information and tire repair cost information.

3. The method for site selection and planning of a remote distribution warehouse according to claim 2, characterized in that: Determining the vehicle use cost information in the cost information includes: Obtain the total volume of cargo within the OEM's pickup cycle, the volume inside the vehicle compartment of the vehicle model used for trunk transportation, the standard loading rate of trunk transportation, trunk transportation time, the volume of cargo picked up by the supplier within the cycle, the single-trip transportation time between the vehicle distribution warehouse and the supplier, the volume inside the vehicle compartment of the vehicle model used for distribution warehouse collection, the standard loading rate of the distribution mode vehicle model, the transportation unit cost of the vehicle model used for pickup, and the transportation unit cost of the vehicle model used for trunk transportation; The vehicle usage cost information in the cost information is determined based on the total volume of the cargo, the volume inside the vehicle compartment of the vehicle type used for trunk transportation, the standard loading rate of the trunk transportation, the trunk transportation time, the off-site pickup cycle, the volume of goods picked up within the supplier's cycle, the single-trip transportation time between the vehicle distribution warehouse and the supplier, the volume inside the vehicle compartment of the vehicle type used for distribution warehouse collection, the standard loading rate of the distribution mode vehicle type, the unit cost of the vehicle type used for pickup and the unit cost of the vehicle type used for trunk transportation.

4. The method for site selection and planning of a remote distribution warehouse according to claim 3, characterized in that: Determining the driver cost information in the cost information includes: Obtain the long-distance driver cost, short-distance driver cost and shifts during the OEM pickup cycle; The driver cost information in the cost information is determined based on the long-distance driver cost, the short-distance driver cost, the total volume of cargo within the cycle, the trunk transportation time, the volume inside the vehicle compartment of the vehicle type used for the trunk transportation, the standard loading rate of the trunk transportation, the off-site pickup cycle, the volume of cargo picked up within the cycle, the single-trip transportation time between the vehicle distribution warehouse and the supplier, the volume inside the vehicle compartment of the vehicle type used for distribution warehouse collection, the standard loading rate of the distribution mode vehicle type and the shifts.

5. The method for site selection and planning of a remote distribution warehouse according to claim 4, characterized in that: Determining the consumables cost information in the cost information includes: Get the mileage ratio constant within the OEM pickup cycle; The consumables cost information in the cost information is determined based on the mileage proportional constant, the volume of goods picked up by the supplier within a period, and the single-trip transportation time of the vehicle between the distribution warehouse and the supplier.

6. The method for site selection and planning of a remote distribution warehouse according to claim 5, characterized in that: Determining the storage cost information in the cost information includes: Obtain the rental unit price of the distribution warehouse, the storage area required for the distribution warehouse, and the process cost within the OEM's pickup cycle. The process cost includes at least the process personnel cost and the process equipment cost. The storage cost information in the cost information is determined based on the rental unit price of the distribution warehouse, the storage area required for the distribution warehouse and the process cost.

7. A remote distribution warehouse location planning device, characterized in that: include: An acquisition module, used to respond to the distribution warehouse location selection request information and acquire the location information of the supplier in the target area and the location information of the original distribution warehouse; A search module, used for determining the location of the initial distribution warehouse from the location information of the supplier in the target area and the location information of the original distribution warehouse by using the centroid method; A calculation module, used to determine the cost information of the distribution vehicle traveling from the initial distribution warehouse to the destination based on the location of the initial distribution warehouse; A determination module is used to determine the location of the final distribution warehouse from the initial distribution warehouse based on the cost information.

8. An electronic device, characterized in that: include: A memory storing an executable program; A processor is used to run the program, wherein when the program is running, the method for site selection and planning of a remote distribution warehouse as described in any one of claims 1 to 6 is executed.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored executable program, wherein when the executable program is running, the device where the storage medium is located is controlled to execute the remote distribution warehouse site selection planning method described in any one of claims 1 to 6.

10. A computer program product, characterized in that It includes a computer program, which, when executed by a processor, implements the method for site selection and planning of a remote distribution warehouse according to any one of claims 1 to 6.

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