Method, system and apparatus for optimizing the claims cost recovery process

Abstract

The present application relates to a method, system and device for optimizing the claim cost recovery process. The method includes: for each claim item involving a faulty part: based on the matching result of the information of the claim item and the parameter set, determining the parameter set associated with the claim item and the return ratio of the faulty parts associated with the claim item, wherein the parameter set is assigned a corresponding counter and a corresponding return ratio of the faulty parts; based on the return ratio of the faulty parts associated with the claim item and the value of the counter of the parameter set associated with the claim item, determining whether the faulty parts involved in the claim item are to be returned; and in response to determining that the faulty parts involved in the claim item are to be returned, claiming to the supplier based on the claim item, wherein the actual claim value demanded from the supplier for the claim item is the product of the material cost of the faulty parts involved in the claim item and the historical compensation coefficient corresponding to the supplier of the faulty parts.

Description

Technical Field

[0001] The present disclosure relates to process optimization, and in particular to methods, systems and apparatus for optimizing a claims cost recovery process. Background Art

[0002] After a car is sold, if a repair event (such as replacement of parts) occurs during the warranty period, a warranty certificate will be generated. The dealer will provide the warranty certificate to the car manufacturer. After the car manufacturer compensates the dealer based on factors such as whether the car is within the warranty period, it will recover the cost from the parts supplier.

[0003] Generally, the dealer will return every warranty card and the associated faulty parts (if any) to the supplier, who will analyze each warranty card, determine the claim liability, and make the compensation. Summary of the invention

[0004] According to an embodiment of the present disclosure, a computer-implemented method is provided, comprising: for each claim item involving a faulty part: based on a matching result between information of the claim item and a parameter set, determining a parameter set associated with the claim item and a faulty part return ratio associated with the claim item, wherein the parameter set is assigned a corresponding counter and a corresponding faulty part return ratio; based on the faulty part return ratio associated with the claim item and the value of the counter of the parameter set associated with the claim item, determining whether the faulty part involved in the claim item is to be returned; and in response to determining that the faulty part involved in the claim item is to be returned, making a claim to a supplier based on the claim item, wherein the actual claim value demanded from the supplier for the claim item is the product of the material cost of the faulty part involved in the claim item and the historical compensation coefficient corresponding to the supplier of the faulty part.

[0005] According to some embodiments, the method may also include: assigning a corresponding historical compensation coefficient to the supplier, wherein the historical compensation coefficient is calculated by dividing the sum of the compensation costs of all faulty parts associated with the supplier within a predetermined historical period by the sum of the material costs of all returned faulty parts associated with the supplier, wherein the compensation cost of each faulty part includes the material cost and additional cost of the faulty part.

[0006] According to some embodiments, the matching result between the claim item information and the parameter set indicates that the claim item matches multiple parameter sets, and the method further includes one of the following: (1) selecting a parameter set with the largest proportion of faulty parts returned as the parameter set associated with the claim item; and (2) selecting a parameter set with the highest matching degree as the parameter set associated with the claim item.

[0007] According to some embodiments, the method may further include: after determining the parameter set associated with the claim item, determining the value of the counter of the parameter set associated with the claim item by increasing the value of the counter of the parameter set by 1.

[0008] According to some embodiments, the method may further include calculating a claim recognition rate corresponding to a supplier, wherein the claim recognition rate is a ratio of the number of claim items associated with the supplier and associated with returned faulty parts within a predetermined period to the number of claim items associated with the supplier and associated with returned faulty parts and recognized within the predetermined period.

[0009] According to some embodiments, the method may also include: calculating the sum of actual claim values ​​of claim items associated with the supplier and associated with all faulty parts that have been returned and acknowledged during the predetermined period as the total actual claim value associated with the supplier during the predetermined period; calculating the product of the total compensation cost of all claim items associated with the supplier during the predetermined period and the acknowledgement rate as the total claim value associated with the supplier during the predetermined period; and calculating the difference between the total claim value and the total actual claim value as the compensation difference associated with the supplier during the predetermined period.

[0010] According to some embodiments, the method may further include assigning a corresponding failed parts return ratio and a corresponding counter to each of the one or more parameter sets.

[0011] According to some embodiments, the method may also include setting one or more parameter sets, each parameter set including at least one of the following: supplier code; fault code; part number; vehicle model; engine model; excluded part number; excluded fault code; vehicle production time; vehicle maintenance time; mileage; and dealer code.

[0012] According to some embodiments, the step of claiming from the supplier based on the claim item further includes: generating a claim bill for multiple claim items, the claim bill including the total actual claim value requested from the supplier for the multiple claim items; and sending the claim bill to the supplier.

[0013] According to some embodiments, the step of making a claim to the supplier based on the claim item further includes: generating a claim bill for each claim item, and sending the claim bill to the supplier.

[0014] According to an embodiment of the present disclosure, a computer system is provided, comprising: one or more processors, and a memory coupled to the one or more processors, the memory storing computer-readable program instructions, which, when executed by the one or more processors, enable the one or more processors to execute the method as described above.

[0015] According to an embodiment of the present disclosure, a computer-readable storage medium is provided, on which computer-readable program instructions are stored. When the instructions are executed by a processor, the processor executes the method as described above.

[0016] According to an embodiment of the present disclosure, a computer program product is provided, comprising computer-readable program instructions, which, when executed by a processor, enable the processor to perform the method as described above. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a schematic diagram for illustrating an overview of an optimized claim cost recovery process according to an embodiment of the present disclosure.

[0018] Figure 2 is a flow chart illustrating a method of optimizing a claim cost recovery process according to an embodiment of the present disclosure.

[0019] Figure 3 It is a table that explains the relationship between parameter sets, parameters included in parameter sets, failed parts return ratios, and counters.

[0020] Figure 4 This is a table that describes historical claim items and cost information related to the historical claim items.

[0021] Figure 5 is a flow chart illustrating another method of optimizing the claim cost recovery process according to an embodiment of the present disclosure.

[0022] Figure 6 FIG. 4 is a schematic diagram showing a general hardware environment in which a device according to an embodiment of the present disclosure can be implemented. DETAILED DESCRIPTION

[0023] The following description is provided to enable those skilled in the art to make and use the embodiments, and is provided in the context of a specific application and its requirements. Various modifications will be apparent to those skilled in the art, and the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the embodiments. Therefore, the embodiments are not limited to the embodiments shown, but are to be given the widest scope consistent with the principles and features disclosed herein.

[0024] Figure 1 is a schematic diagram for illustrating an overview of an optimized claim cost recovery process according to an embodiment of the present disclosure.

[0025] Figure 1 A claimed parts pool is shown, which contains 300 faulty parts.

[0026] First, for the sake of clarity in this application, it is assumed that Figure 1 The 300 faulty parts in the example are all associated with the same supplier. However, the solution of the present application is also applicable to the case where multiple faulty parts are respectively associated with different suppliers.

[0027] In the prior art, these 300 faulty parts will all be returned to the supplier, thus consuming logistics costs such as the transportation of 300 faulty parts. After receiving these faulty parts, the supplier needs to verify each faulty part, analyze the liability for compensation (for example, determine whether it is the user's responsibility, the dealer's responsibility, or the supplier's responsibility, etc.), and compensate for the part that the supplier should be responsible for. In the figure, it is assumed that the supplier's compensation rate for the compensation liability of these 300 faulty parts is 50%. Then the final compensation value of the supplier is 50% of the total claim value requested by the dealer.

[0028] For the faulty parts that the supplier should be responsible for compensating, not only the material cost of replacing the faulty parts should be compensated, but also the additional costs incurred by labor replacement, warehousing and logistics. Therefore, in the prior art, the supplier needs to pay a relatively high compensation cost for the faulty parts.

[0029] One aspect of the present application is that instead of returning all faulty parts to the supplier, some faulty parts are returned to the supplier in a certain proportion. As shown in the figure, for example, assuming that the faulty parts are returned in a proportion of 1 / 3, that is, 100 faulty parts are returned in total, and the remaining 200 faulty parts are not returned to the supplier. A claim can be made from the supplier based on each faulty part actually returned. The claim amount claimed from the supplier based on each faulty part actually returned is not only the compensation cost of the faulty part, but the product of the material cost of the faulty part and the historical compensation coefficient of the supplier.

[0030] In this way, the supplier only needs to verify the 100 faulty parts and make compensation based on the claim items associated with the 100 faulty parts. The result of compensation can basically reflect the compensation cost of the 300 faulty parts.

[0031] Another aspect of the present application is to calculate the claim difference for a predetermined period (e.g., one year, half a year, one month, etc.). This is because the compensation result based on the 100 faulty parts actually returned may be somewhat different from the total cost of the 300 faulty parts that actually need to be compensated. For example, dealers can return faulty parts according to a preset ratio on a daily basis and make claims based on the returned faulty parts. And calculate the claim difference for all claim items once a quarter or year, so that the final compensation amount is as close as possible to the actual amount required to be claimed.

[0032] Figure 22 is a flow chart showing a method 200 for optimizing a claim cost recovery process according to an embodiment of the present disclosure. The method 200 may be performed for each claim item involving a faulty part.

[0033] like Figure 2 As shown, method 200 includes step S201, in which, for each claim item involving faulty parts, a parameter set associated with the claim item and a faulty parts return ratio associated with the claim item are determined based on a matching result between the information of the claim item and the parameter set, wherein the parameter set is assigned a corresponding counter and a corresponding faulty parts return ratio.

[0034] The solution of this application only involves claim items related to faulty parts.

[0035] Each claim item may include one or more information, such as the part number of the faulty part involved, the supplier code of the supplier providing the faulty part, the fault code, the production date and repair time of the faulty part, the model, engine model, mileage, dealer code of the car associated with the faulty part, etc. Those skilled in the art may screen and extract the corresponding data when generating claim items based on the claim form data as needed.

[0036] In some embodiments, the method may include presetting one or more parameter sets. Each parameter set may include at least one of the following: supplier code; fault code; part number; vehicle model; engine model; excluded part number; excluded fault code; vehicle production time; vehicle maintenance time; mileage; and dealer code.

[0037] The method may also assign a corresponding faulty parts return ratio and a corresponding counter to each of the one or more parameter sets.

[0038] Figure 3 It is a table that explains the relationship between parameter sets, parameters included in parameter sets, failed parts return ratios, and counters.

[0039] like Figure 3 As shown, for example, three parameter sets A1, A2, and A3 are set. Each parameter set includes different parameters, for example, parameter set A1 includes parameters P11 and P12, parameter set A2 includes parameters P21 and P22, and parameter set A3 includes parameters P31, P32, and P33. These parameters can be selected from the following group consisting of: supplier code; fault code; part number; vehicle model; engine model; excluded part number; excluded fault code; vehicle production time; vehicle maintenance time; mileage; and dealer code.

[0040] Each parameter set may be assigned a different faulty parts return ratio, which indicates the ratio of the number of faulty parts actually returned to the supplier to the total number of faulty parts.

[0041] For example, the return ratio of faulty parts for parameter set A1 is 1 / 3, that is, one faulty part is returned for every three faulty parts. The return ratio of faulty parts for parameter set A2 is 1 / 2, that is, one faulty part is returned for every two faulty parts. The return ratio of faulty parts for parameter set A3 is 1 / 4, that is, one faulty part is returned for every four faulty parts.

[0042] In some embodiments, the method may include comparing the information of the claim item with the parameter set to determine which parameter set(s) the claim item matches. In some cases, it may be determined that the claim item matches multiple parameter sets, and then it is necessary to select one parameter set from them as the parameter set associated with the claim item. For example, a parameter set with the largest proportion of faulty parts returned can be selected from the multiple matching parameter sets as the parameter set associated with the claim item. For another example, a parameter set with the highest degree of match (e.g., the largest number of matching parameters) can be selected from the multiple matching parameter sets as the parameter set associated with the claim item. The proportion of faulty parts returned of the parameter set associated with the claim item is the proportion of faulty parts returned associated with the claim item. Therefore, different faulty parts can have different proportions of faulty parts returned. In some embodiments, different faulty parts may also have the same proportion of faulty parts returned.

[0043] The method 200 further comprises step S202, in which it is determined whether the faulty parts involved in the claim item are to be returned based on the faulty parts return ratio associated with the claim item and the value of the counter of the parameter set associated with the claim item.

[0044] As mentioned above, the method can also set a corresponding counter for each parameter set. Figure 3 As shown, for example, counters N1, N2 and N3 are set for parameter sets A1, A2 and A3, respectively. After determining the parameter set associated with the claim item, the value of the counter of the parameter set associated with the claim item is determined by increasing the value of the counter of the parameter set by 1.

[0045] Based on the value of the counter of the parameter set associated with the claim item and the return ratio of the faulty parts associated with the claim item, it can be determined whether the faulty parts involved in the claim item are returned. For example, assuming that the return ratio of the faulty parts associated with the claim item is 1 / 3, when the value of the counter is an integer multiple of 3, the faulty parts involved in the claim item are returned. For another example, when the value of the counter is divided by 3 and the remainder is 1, the faulty parts involved in the corresponding claim item are returned. Those skilled in the art can conceive of various judgment methods based on the value of the counter.

[0046] Method 200 also includes step S203, in which, in response to determining that the faulty parts involved in the claim item are to be returned, a claim is made to the supplier based on the claim item, wherein the actual claim value requested from the supplier for the claim item is the product of the material cost of the faulty parts involved in the claim item and the historical compensation coefficient corresponding to the supplier of the faulty parts.

[0047] The method may also include assigning a corresponding historical compensation coefficient to the supplier. The historical compensation coefficient is, for example, automatically calculated and updated based on historical data at predetermined time intervals. For example, historical data of the supplier within a predetermined historical period may be automatically extracted every year or every six months to calculate and update the historical compensation coefficient of the supplier.

[0048] The historical compensation coefficient is calculated by dividing the sum of the compensation costs of all failed parts associated with the supplier during a predetermined historical period by the sum of the material costs of all returned failed parts associated with the supplier, where the compensation cost of each failed part includes the material cost and additional costs of the failed part.

[0049] The material cost of a faulty part, for example, refers to the cost of a replacement part for the faulty part. The additional cost of a faulty part, for example, refers to the labor cost, auxiliary material cost, and storage and transportation costs associated with the faulty part, etc. The compensation cost of a faulty part is the sum of the material cost and the additional cost. If the supplier believes that it should be fully responsible for the compensation of the faulty part, then it should compensate for the compensation cost of the faulty part.

[0050] Figure 4 This is a table that describes historical claim items and cost information related to the historical claim items.

[0051] like Figure 4 As shown in FIG. 1 , it is assumed that there are N claims items associated with suppliers in a predetermined historical period (for example, last year). These claims items have been settled. The unit of material cost, additional cost and compensation cost is, for example, RMB. Based on Figure 4 Based on the information in the table, the historical claims coefficient can be calculated as follows:

[0052] · Calculate the compensation cost of all claim items A = 15 + 12 + 16 + 14 + 15 + 19...

[0053] · Calculate the sum of the material costs of all the returned claim items, B = 10 + 7 + 14...

[0054] Calculate historical claims coefficient

[0055] In some embodiments, a separate claim bill may be generated for each claim item and sent to the supplier to claim compensation from the supplier based on the claim item.

[0056] In other embodiments, a claim bill may be generated for multiple claim items, the claim bill including the total actual claim value requested from the supplier for the multiple claim items, and the claim bill may be sent to the supplier to make batch claims to the supplier based on the multiple claim items.

[0057] The method of the present application reduces the number of faulty parts returned to suppliers and reduces the logistics, warehousing and analysis costs consumed by suppliers in handling faulty parts by introducing the return ratio of faulty parts and the supplier's historical compensation coefficient. On the other hand, it can make reasonable claims for faulty parts more accurately, improve the existing cost recovery process, save resources and improve efficiency.

[0058] Figure 5 is a flow chart illustrating another method 500 of optimizing a claims cost recovery process according to an embodiment of the disclosure.

[0059] Method 500 may include step S501, in which a claim recognition rate corresponding to a supplier is calculated, wherein the claim recognition rate is the ratio of the number of claim items associated with the supplier and associated with returned faulty parts within a predetermined period of time (for example, within the year) to the number of claim items associated with the supplier and associated with returned faulty parts and recognized within the predetermined period of time.

[0060] For example, Figure 1 Take the case of (assuming only one supplier is involved), assuming that there were 300 faulty parts in total that year, 100 faulty parts were returned, and the supplier acknowledged claims for 50 faulty parts, then the acknowledgement rate is 50%.

[0061] Method 500 may also include step S502, in which the sum of actual claim values ​​of claim items associated with all returned and compensated faulty parts associated with the supplier during the predetermined period is calculated as the total actual claim value associated with the supplier during the predetermined period.

[0062] Or Figure 1 Taking the case of 50 returned and compensated faulty parts as an example (assuming that only one supplier is involved), the total actual claim value is calculated according to the supplier's historical compensation coefficient for the claim items associated with the 50 faulty parts that were returned and compensated. That is, the total actual claim value is calculated based on the material cost of the 50 faulty parts that were compensated and the historical compensation coefficient.

[0063] Method 500 may further include step S503, in which the product of the total compensation cost of all claim items associated with the supplier within the predetermined period and the claim acceptance rate is calculated as the total claim value associated with the supplier within the predetermined period.

[0064] Or Figure 1 Taking the case as an example (assuming that only one supplier is involved), for all 300 claim items (involving 100 actually returned faulty parts and 200 unreturned faulty parts), the total claim value of the 300 claim items is calculated based on the total compensation cost of these 300 compensation items (including total material cost and total additional cost) and the claim recognition frequency calculated in step S501 (for example, 50%).

[0065] The method 500 may further include step S504, in which the difference between the total claimable value and the total actual claim value is calculated as the compensation difference associated with the supplier during the predetermined period.

[0066] Or Figure 1 Taking the case of as an example, for these 300 claim items, the compensation difference associated with the supplier in that year can be obtained by subtracting the total actual claim value from the total claim value.

[0067] By calculating the difference in compensation against the supplier and claiming compensation based on that, the dealership ultimately receives an amount close to what it should actually have received for all the faulty parts.

[0068] As mentioned above, for the convenience of description, it is assumed that Figure 1 The 300 faulty parts in the data are all associated with the same supplier. Those skilled in the art will appreciate that if the 300 faulty parts involve different suppliers, the respective compensation rates corresponding to the different suppliers are calculated using the number of faulty parts returned and the number of faulty parts compensated for the different suppliers.

[0069] The method of the present application reduces the cost consumed by suppliers in handling faulty parts and improves processing efficiency, while further making the final claim amount of the dealer as close as possible to the actual claim amount that should be generated, thereby ensuring the accuracy of the claim.

[0070] Figure 6FIG. 4 is a schematic diagram showing a general hardware environment in which a device according to an embodiment of the present disclosure can be implemented.

[0071] Reference now Figure 6 , a schematic diagram of an example of a computing node 600 is shown. Computing node 600 is only one example of a suitable computing node and is not intended to imply any limitation on the scope of use or functionality of the embodiments described herein. Regardless, computing node 600 is capable of implementing and / or performing any of the functions set forth above.

[0072] In computing node 600, there is a computer system / server 6012, which can operate with numerous other general or special computing system environments or configurations. Examples of well-known computing systems, environments, and / or configurations that can be suitable for use with computer system / server 6012 include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, handheld or laptop devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, small computer systems, large computer systems, and distributed cloud computing technology environments including any of the above systems or devices, etc.

[0073] Computer system / server 6012 can be described in the general context of computer system executable instructions (such as program modules) executed by a computer system. In general, program modules can include routines, programs, objects, components, logic, data structures, etc. that perform specific tasks or implement specific abstract data types. Computer system / server 6012 can be practiced in a distributed cloud computing environment, where tasks are performed by remote processing devices linked through a communication network. In a distributed cloud computing environment, program modules can be located on both local or remote computer system storage media including memory storage devices.

[0074] like Figure 6 As shown, the computer system / server 6012 in the computing node 600 is shown in the form of a general computing device. The components of the computer system / server 6012 may include, but are not limited to: one or more processors or processing units 6016, a system memory 6028, and a bus 6018 that couples different system components including the system memory 6028 to the processing unit 6016.

[0075] Bus 6018 represents any one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example and not limitation, these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, a Peripheral Component Interconnect (PCI) bus, a Peripheral Component Interconnect Express (PCIe), and an Advanced Microcontroller Bus Architecture (AMBA).

[0076] The computer system / server 6012 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer system / server 6012, including volatile and nonvolatile media, removable and non-removable media.

[0077] System memory 6028 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 6032. Computer system / server 6012 may also include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, a storage system 6034 may be provided for reading from a non-removable non-volatile magnetic medium (not shown, and commonly referred to as a "hard drive") and writing to a non-removable non-volatile magnetic medium. Although not shown, a disk drive for reading from a removable non-volatile disk (e.g., a "floppy disk") and writing to a removable non-volatile disk, and an optical drive for reading from a removable non-volatile optical disk (such as a CD-ROM, DVD-ROM, or other optical medium) and writing to a removable non-volatile optical disk may be provided. In these cases, each may be connected to bus 6018 via one or more data medium interfaces. As will be further depicted and described below, memory 6028 may include at least one program product having a set (eg, at least one) of program modules configured to perform the functions of embodiments of the present disclosure.

[0078] By way of example and not limitation, a program / utility 6040 having a set (at least one) of program modules 6042 and an operating system, one or more application programs, other program modules, and program data may be stored in memory 6028. Each of the operating system, one or more application programs, other program modules, and program data, or some combination thereof, may include an implementation of a network environment. Program modules 6042 generally perform functions and / or methods as described herein in the embodiments.

[0079] The computer system / server 6012 may also communicate with one or more external devices 6014 (such as a keyboard, pointing device, display 6024, etc.), one or more devices that enable a user to interact with the computer system / server 6012, and / or any device that enables the computer system / server 6012 to communicate with one or more other computing devices (e.g., a network card, a modem, etc.). Such communication may occur via an input / output (I / O) interface 22. Also, the computer system / server 6012 may communicate with one or more networks (such as a local area network (LAN), a general wide area network (WAN), and / or a public network (e.g., the Internet)) via a network adapter 20. As depicted, the network adapter 20 communicates with other components of the computer system / server 6012 via a bus 6018. It should be understood that, although not shown, other hardware and / or software components may be used in conjunction with the computer system / server 6012. Examples include, but are not limited to, microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archival storage systems, etc.

[0080] The present disclosure may be implemented as a system, method, and / or computer program product. The computer program product may include (one or more) computer-readable storage media having computer-readable program instructions thereon for causing a processor to execute aspects of the present disclosure.

[0081] Computer readable storage medium can be a tangible device that can keep and store instructions for being used by instruction execution device.Computer readable storage medium can be, for example, (but not limited to) electronic storage device, magnetic storage device, optical storage device, electromagnetic storage device, semiconductor storage device or any suitable combination of the above.The non-exhaustive list of more specific examples of computer readable storage medium includes the following: portable computer disk, hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disk read-only memory (CD-ROM), digital versatile disk (DVD), memory stick, floppy disk, mechanical encoding device (such as punch card or convex structure in groove with instruction stored thereon) and any suitable combination of the above.Computer readable storage medium as used herein is not interpreted as instantaneous signal itself, such as radio wave or other free propagating electromagnetic wave, electromagnetic wave propagated by waveguide or other transmission medium (for example, light pulse by optical fiber cable) or electrical signal transmitted by wire.

[0082] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network (e.g., the Internet, a local area network, a wide area network, and / or a wireless network). The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards these computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0083] The computer-readable program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​(such as Smalltalk, C++, etc.) and conventional procedural programming languages ​​(such as "C" programming languages ​​or similar programming languages). The computer-readable program instructions may be executed completely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network (including a local area network (LAN) or a wide area network (WAN)), or may be connected to an external computer (such as using an Internet service provider via the Internet). In some embodiments, an electronic circuit may be customized by utilizing the state information of a computer-readable program instruction, including, for example, a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), and the electronic circuit may execute a computer-readable program instruction to perform aspects of the present disclosure.

[0084] Aspects of the present disclosure are described herein with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present disclosure. It will be understood that each box in the flowchart and / or block diagram and the combination of boxes in the flowchart and / or block diagram can be implemented by computer-readable program instructions.

[0085] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device to produce a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device that implements the functions / behaviors specified in one or more boxes in the flowchart and / or block diagram is generated. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these computer-readable program instructions can guide the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium in which the instructions are stored includes a manufactured product, which includes instructions for implementing aspects of the functions / behaviors specified in one or more boxes in the flowchart and / or block diagram.

[0086] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device, so that a series of operating steps are performed on the computer, other programmable apparatus, or other device to produce a computer-implemented process, so that the instructions executed on the computer, other programmable apparatus, or other device implement the functions / behaviors specified in one or more boxes in the flowchart and / or block diagram.

[0087] The flow chart and block diagram in the figure show the possible architecture, function and operation of the system, method and computer program product according to each embodiment of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a part of a module, segment or instruction, and a part of the module, segment or instruction contains one or more executable instructions for realizing the specified (one or more) logical functions. In some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the figure. For example, depending on the functions involved, two continuous boxes can actually be executed substantially in parallel, or these boxes can sometimes be executed in the opposite order. It will also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a system based on special hardware that performs a specified function or behavior or performs a combination of special hardware and computer instructions.

[0088] It should also be understood by those skilled in the art that the various operations illustrated in order in the embodiments of the present disclosure are not necessarily performed in the illustrated order. Those skilled in the art may adjust the order of the operations as needed. Those skilled in the art may also add more operations or omit some of the operations as needed.

[0089] The description of various embodiments of the present disclosure has been given for the purpose of illustration, but is not intended to be exhaustive or limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein are selected to best explain the principles of the embodiments, practical applications, or technical improvements over technologies found in the marketplace, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A computer-implemented method comprising: One or more parameter sets are set, wherein each parameter set includes at least two of the following: a supplier code, a fault code, a part number, a vehicle model, an engine model, an excluded part number, an excluded fault code, a vehicle production time, a vehicle maintenance time, a mileage, and a dealer code; Assigning a corresponding faulty parts return ratio and a corresponding counter to each parameter set, wherein the faulty parts return ratio of each parameter set indicates the ratio of the number of faulty parts actually returned to the supplier to the total number of faulty parts that should be returned to the supplier for the parameter set, and wherein the counter of each parameter set is used to indicate that the faulty parts involved in the claim item corresponding to the value of the counter are returned only when the value of the counter of the parameter set is an integer multiple of the reciprocal of the faulty parts return ratio; For each claim involving a defective part: Based on the matching result between the information of the claim item and the parameter set, determine the parameter set associated with the claim item, the return ratio of the faulty parts associated with the claim item, and the value of the counter of the parameter set associated with the claim item, wherein when the matching result between the information of the claim item and the parameter set indicates that the claim item matches multiple parameter sets, select a parameter set with the highest matching degree as the parameter set associated with the claim item; Determining whether the faulty parts involved in the claim item are to be returned based on the faulty parts return ratio associated with the claim item and the value of the counter of the parameter set associated with the claim item; In response to determining that the faulty part involved in the claim item is to be returned, a claim is made to the supplier based on the claim item, wherein the actual claim value demanded from the supplier for the claim item is the product of the material cost of the faulty part involved in the claim item and a historical compensation coefficient corresponding to the supplier of the faulty part, wherein the historical compensation coefficient is calculated by dividing the sum of the compensation costs of all faulty parts associated with the supplier within a predetermined historical period by the sum of the material costs of all returned faulty parts associated with the supplier.

2. The method of claim 1, further comprising: The supplier is assigned a corresponding historical compensation coefficient, where the compensation cost of each faulty part includes the material cost and additional cost of the faulty part.

3. The method of claim 1, wherein: The matching result between the claim item information and the parameter set indicates that the claim item matches multiple parameter sets, and the method further includes: The parameter set with the largest proportion of returned faulty parts is selected as the parameter set associated with the claim item.

4. The method of claim 1, further comprising: After determining the parameter set associated with the claim item, the value of the counter of the parameter set associated with the claim item is determined by increasing the value of the counter of the parameter set by 1.

5. The method of claim 1, further comprising: A claim acceptance ratio corresponding to a supplier is calculated, wherein the claim acceptance ratio is a ratio of the number of claim items associated with returned faulty parts associated with the supplier within a predetermined period to the number of claim items associated with returned faulty parts associated with the supplier within the predetermined period and accepted.

6. The method of claim 5, further comprising: Calculate the sum of the actual claim values ​​of the claim items associated with all the faulty parts that have been returned and claimed and are associated with the supplier during the predetermined period as the total actual claim value associated with the supplier during the predetermined period; Calculate the product of the total compensation cost of all claim items associated with the supplier during the predetermined period and the claim acceptance rate as the total claim value associated with the supplier during the predetermined period; and The difference between the total claimable value and the total actual claim value is calculated as the compensation difference associated with the supplier during the predetermined period.

7. The method according to any one of claims 1 to 6, wherein the step of claiming compensation from the supplier based on the claim item further comprises: generating a claim bill for a plurality of claim items, the claim bill comprising a total actual claim value claimed from a supplier for the plurality of claim items; Send said claim bill to the supplier.

8. The method according to any one of claims 1 to 6, wherein the step of claiming compensation from the supplier based on the claim item further comprises: Generate a claim bill for each claim item. Send said claim bill to the supplier.

9. A computer system comprising: one or more processors, and A memory coupled to the one or more processors, the memory storing computer-readable program instructions, which, when executed by the one or more processors, cause the one or more processors to perform the method of any one of claims 1-8.

10. A computer-readable storage medium storing computer-readable program instructions, which, when executed by a processor, cause the processor to perform the method according to any one of claims 1 to 8.

11. A computer program product, comprising computer-readable program instructions, which, when executed by a processor, cause the processor to perform the method according to any one of claims 1 to 8.

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