Information processing device, program of information processing device and method for operating information processing device

Abstract

To provide an information processing device, method and program for efficiently specifying a factor of a product trouble.SOLUTION: In an information processing system 1 including one or more service devices 10, and terminals 12 and 13 mutually connected through a network 11 in a communicable manner, a server device 10 being an information processing device includes a storage part for storing attribute information showing attributes of each of a plurality of product types, and use information including the number of used use times and the number of troubles determined to be a trouble, and a control part for outputting warning information showing a first product type having the prescribed number of troubles and a first attribute that contributes to the prescribed number of troubles in the first product type on the basis of the attribute information and the use information in order to be used to analyze an occurrence rate of the troubles in each trouble mode.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to an information processing device, a program for the information processing device, and an operation method for the information processing device. [Background technology]

[0002] Manufacturers and sellers of consumer goods, including cosmetics, collect information on various problems that occur during the use of their products and use it to improve the quality of their products. Non-Patent Document 1 and Patent Document 1 are known as examples of technologies that support such quality improvement. For example, Patent Document 1 discloses a technology that derives the total number of defects associated with a failure mode by using analysis information of multiple failure modes extracted in advance and defect occurrence history data at the product design or process design stage. In addition, Non-Patent Document 1 discloses a quality improvement method that targets analysis of skin trouble information after the release of cosmetics. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2005-38413 A [Non-patent literature]

[0004] [Non-Patent Document 1] Virginie Ribet, "European Journal of Dermatology", published by John Libbey Eurotext, November 8, 2021, p.463-469 Summary of the Invention [Problem to be solved by the invention]

[0005] Since problems occurring during the use of a product depend on various factors, there is a need to improve efficiency in identifying the causes of the problems.

[0006] In view of the above, the following describes an information processing device and the like that can efficiently identify the cause of a product trouble. [Means for solving the problem]

[0007] In order to solve the above problems, the information processing device of the present disclosure has a memory unit that stores attribute information indicating the attributes of each of a plurality of product types, and usage information including the number of products used and the number of problems determined to be problems, and a control unit that outputs warning information indicating a first product type having a predetermined number of problems and a first attribute that contributed to the predetermined number of problems in the first product type based on the attribute information and the usage information, for use in analyzing the occurrence rate of the troubles for each type of the trouble.

[0008] The program for the information processing device in the present disclosure causes the information processing device to execute a first step of storing attribute information indicating the attributes of each of a plurality of product types, and usage information including the number of products used and the number of products determined to be troubles, and a second step of outputting, based on the attribute information and usage information, warning information indicating a first product type having a predetermined number of troubles and a first attribute that contributed to the predetermined number of troubles in the first product type, for use in analyzing the incidence rate of the troubles for each type of the trouble.

[0009] The operating method of an information processing device in the present disclosure includes a first step of storing attribute information indicating attributes for each of a plurality of product types, and usage information including the number of products used and the number of products determined to be troubles, and a second step of outputting, based on the attribute information and usage information, warning information indicating a first product type having a predetermined number of troubles and a first attribute that contributed to the predetermined number of troubles in the first product type, for use in analyzing the incidence rate of the troubles for each type of the trouble. Effect of the Invention

[0010] According to the information processing device and the like of the present disclosure, it becomes possible to efficiently identify the cause of a product trouble. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 illustrates an example of a configuration of an information processing system. [Diagram 2] FIG. 11 is a sequence diagram showing an example of an operation procedure of the information processing system. [Diagram 3] 11A and 11B are diagrams illustrating examples of attribute information and usage information. [Figure 4] FIG. 4 is a flowchart illustrating an example of an operation procedure of the information processing device. [Diagram 5] FIG. 13 is a diagram showing an example of representative values ​​and troubled product types in a product type group. [Figure 6] FIG. 13 is a diagram illustrating a schematic diagram of determining a trouble attribute by a decision tree analysis. [Figure 7] FIG. 13 is a diagram showing an example of a display of warning information. [Figure 8] FIG. 4 is a flowchart illustrating an example of an operation procedure of the information processing device. [Figure 9] FIG. 13 is a diagram illustrating a display example of analysis information. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, an embodiment of the present invention will be described.

[0013] [System Overview] FIG. 1 is a diagram showing a configuration example of an information processing system in an embodiment. The information processing system 1 has one or more server devices 10 and terminal devices 12 and 13, which are connected to each other via a network 11 so as to be able to communicate information with each other. The server device 10 is one or more server computers. The server device 10 may be a single computer, or may be a plurality of computers that execute the operations in this embodiment in cooperation with each other to provide a cloud service. The terminal devices 12 and 13 are information processing devices such as personal computers and tablet terminal devices, but may also include smartphones. The network 11 is, for example, a LAN (Local Area Network), the Internet, an ad-hoc network, a MAN (Metropolitan Area Network), a mobile communication network, or other networks, or any combination thereof.

[0014] The information processing system 1 supports the identification of factors of troubles in the use of a product (hereinafter, referred to as trouble factors). Examples of the products are cosmetics and quasi-drugs. Hereinafter, the type of product will be referred to as the product type, and will be distinguished from the case of referring to an individual product. The product type is identified, for example, by the product name, the brand name, or the like. Troubles are various abnormalities that occur in the area where the cosmetics or the like are used, such as redness, swelling, irritation, itchiness, rash, and the like, but are not limited to the area where the cosmetics or the like are used. In addition, the clarity of the causal relationship with the product or the severity of the trouble does not matter. Information processing for identifying trouble factors is executed by the server device 10. The server device 10 corresponds to the "information processing device" in this embodiment. Information required for information processing in the server device 10 is sent to the server device 10 from the terminal device 12 or 13. The terminal devices 12 and 13 are used, for example, by a person in charge of collecting trouble information and a person in charge of analyzing trouble factors, respectively.

[0015] The server device 10 includes a storage unit 102 and a control unit 103. The storage unit 102 stores attribute information 107 indicating the attributes of each of a plurality of product types, and usage information 108 including the number of products used and the number of products determined to have a problem. The control unit 103 outputs warning information indicating a product type having a predetermined number of problems (hereinafter referred to as a trouble product type) and an attribute (hereinafter referred to as a trouble attribute) that contributed to the predetermined number of problems in the trouble product type based on the attribute information 107 and the usage information 108, for use in analyzing the occurrence rate of a problem for each type of problem (hereinafter referred to as a trouble type). According to such an operation of the server device 10, it becomes possible to specify, as a trouble factor in the warning information, a trouble attribute that is highly likely to have caused the predetermined number of troubles among the attributes of each product type. That is, it becomes possible to efficiently specify the trouble factor. Furthermore, it becomes possible for a person who analyzes the trouble factor to use the warning information to analyze the occurrence rate of a trouble for each type of trouble.

[0016] Next, the configurations of the server device 10 and the terminal devices 12 and 13 will be described.

[0017] The server device 10 includes a communication unit 101, a storage unit 102, and a control unit 103. When the server device 10 is configured with two or more computers, these components are appropriately arranged in the two or more computers.

[0018] The communication unit 101 includes one or more communication interfaces. The communication interface is, for example, a LAN interface. The communication unit 101 receives information used in the operation of the server device 10, and transmits information obtained by the operation of the server device 10. The server device 10 is connected to a network 11 by the communication unit 101, and communicates information with terminal devices 12 and 13 via the network 11.

[0019] The storage unit 102 includes, for example, one or more semiconductor memories, one or more magnetic memories, one or more optical memories, or a combination of at least two of these, functioning as a main storage device, an auxiliary storage device, or a cache memory. The semiconductor memory is, for example, a random access memory (RAM) or a read only memory (ROM). The RAM is, for example, a static RAM (SRAM) or a dynamic RAM (DRAM). The ROM is, for example, an electrically erasable programmable ROM (EEPROM). The storage unit 102 stores information used in the operation of the control unit 103 and information obtained by the operation of the control unit 103.

[0020] The control unit 103 includes one or more processors, one or more dedicated circuits, or a combination of these. The processor includes, for example, a general-purpose processor such as a central processing unit (CPU), or a dedicated processor specialized for a specific process such as a graphics processing unit (GPU). The dedicated circuit includes a field-programmable gate array (FPGA), an application specific integrated circuit (ASIC), etc.

[0021] The functions of the server device 10 are realized by a processor included in the control unit 103 executing a control program. The control program is a program for causing the processor to function as the control unit 103. Also, some or all of the functions of the server device 10 may be realized by a dedicated circuit included in the control unit 103. Also, the control program may be stored in a non-transitory recording / storage medium readable by the control unit 103, and the control unit 103 may read it from the medium.

[0022] The terminal device 12 includes a communication unit 121 , a storage unit 122 , a control unit 123 , an input unit 125 , and an output unit 126 .

[0023] The communication unit 121 is a communication module compatible with wired or wireless LAN standards, LTE (Long Term Evolution), 4G (4 th Generation), 5G(5 th The terminal device 12 is connected to the network 11 by a communication unit 121 via a nearby router device or a mobile communication base station, and communicates information with the server device 10 via the network 11.

[0024] The memory unit 122 includes one or more semiconductor memories, one or more magnetic memories, one or more optical memories, or a combination of at least two of these. The semiconductor memories are, for example, RAM or ROM. The RAM is, for example, SRAM or DRAM. The ROM is, for example, EEPROM. The memory unit 122 functions as, for example, a main memory device, an auxiliary memory device, or a cache memory. The memory unit 122 stores information used in the operation of the control unit 123 and information obtained by the operation of the control unit 123.

[0025] The control unit 123 has, for example, one or more general-purpose processors such as a CPU, an MPU (Micro Processing Unit), or one or more dedicated processors such as a GPU specialized for a specific process. Alternatively, the control unit 123 may have one or more dedicated circuits such as an FPGA, an ASIC, or the like. The control unit 123 generally controls the operation of the terminal device 12 by operating according to a control / processing program, or operating according to an operating procedure implemented as a circuit. The control unit 123 transmits and receives various information to and from the server device 10, etc. via the communication unit 121, and executes the operation according to this embodiment.

[0026] The functions of the terminal device 12 are realized by a processor included in the control unit 123 executing a control program. The control program is a program for causing the processor to function as the control unit 123. Also, some or all of the functions of the terminal device 12 may be realized by a dedicated circuit included in the control unit 123. Also, the control program may be stored in a non-transitory recording / storage medium readable by the control unit 123, and the control unit 123 may read it from the medium.

[0027] The input unit 125 includes one or more input interfaces. The input interfaces include, for example, physical keys, capacitive keys, a pointing device, and a touch screen that is integrated with a display. The input unit 125 accepts an operation to input information used for the operation of the control unit 123, and sends the input information to the control unit 123.

[0028] The output unit 126 includes one or more output interfaces. The output interfaces include, for example, a display and a speaker. The display is, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro Luminescence) display. The output unit 126 outputs information obtained by the operation of the control unit 123.

[0029] The terminal device 13 is configured in the same manner as the terminal device 12. The above description of the configuration of the terminal device 12 applies to the terminal device 13.

[0030] [Example of operation of information processing system 1]

[0031] Fig. 2 is a sequence diagram for explaining the operation procedure of the information processing system 1 in this embodiment. Fig. 2 shows the procedure related to the cooperative operation of the server device 10 and the terminal devices 12 and 13, which is executed when the attribute information 107 and the usage information 108 are stored in the server device 10.

[0032] In the procedure of FIG. 2, the terminal device 12 is used by a person in charge of testing, sales, service, etc. of the manufacturing / sales business to obtain usage information 108 of the cosmetics, etc. The usage information 108 includes the product type, the number of units used, and the number of units with problems. The product type includes the product name, a character string indicating the brand name, an identification symbol, etc. The terminal device 13 is used by a development person in charge of the manufacturing / sales business to obtain attribute information of the cosmetics, etc. The attribute information includes the product type, product classification, formulation, usage method, sales price, etc. of the cosmetics, etc. The product classification is a classification according to the properties and raw materials of the product type, for example, a classification according to the purpose of the product, such as shampoo, beauty essence, milky lotion, lotion, facial cleanser, lipstick, etc. The formulation includes the names of the raw materials of the cosmetics, and the names of the ingredients and the blending ratio. The usage method includes information such as the usage amount and the area to be used.

[0033] In step S20, the terminal device 12 acquires the usage information 108 by accepting the input of the usage information 108. Then, in step S21, the terminal device 12 transmits the usage information 108 to the server device 10. The terminal device 12 may transmit each piece of information included in the usage information 108 individually to the server device 10, and the server device 10 acquires the usage information 108. In a cosmetics manufacturer, for example, before the launch of a cosmetic product, a monitor user uses the cosmetic product on a trial basis, or applies the cosmetic product to the skin to determine the presence or absence and the strength of the trouble or skin reaction. The judgment of the presence or absence of the trouble may be based on the subjective judgment of the user who uses the cosmetic product, or may be a result of scoring the skin reaction such as a stinging test or a patch test. Alternatively, it is possible to acquire the trouble mode by text mining (morphological analysis) from a free comment generated by the monitor user based on his or her subjective judgment. For example, a trouble such as "redness" or "itchiness" is judged from a text such as "When I used..., my skin became red and itchy." A tester inputs the usage information into the terminal device 12 based on the judgment result of the monitor user. In this case, the number of units used is the number of products used on a trial basis. Alternatively, for example, after a cosmetic product is released, if a user who has purchased the cosmetic product experiences a problem while using the cosmetic product and reports the problem to a retailer or customer service, the sales or service staff inputs the content of the contact into the terminal device 12. The content of the contact includes a value or character string indicating the product type and the nature of the problem. From such a character string, it is possible to obtain the nature of the problem by text mining. Examples of the problem are redness, swelling, irritation, itchiness, and rash. When the information indicating the problem is input, the terminal device 12 counts the number of units with problems. Also, the number of units sold for each product type is input as the number of units used.

[0034] In step S22, terminal device 13 acquires attribute information 107 by accepting input of attribute information 107. Then, in step S23, terminal device 13 sends attribute information 107 to server device 10. Terminal device 13 may send each piece of information included in attribute information 107 individually to server device 10, and acquire usage information 108 at server device 10. For example, at a cosmetics manufacturing and sales business, a cosmetics development manager inputs attribute information 107 into terminal device 13.

[0035] Note that steps S20 and S21 and steps S22 and S23 may be interchanged, or may be executed in parallel in a time-division manner.

[0036] In step S24, the server device 10 associates the attribute information 107 with the usage information 108. As shown in the example of Fig. 3, the attribute information 107 includes the product type, product classification, prescription information, and sales price of the cosmetic product. The usage information 108 includes the product type, the number of uses, the number of problems, as well as identification information for each product and information on the type of problems associated therewith. The number of types of problems stored as part of the usage information 108 corresponds to the number of problems. The server device 10 associates the attribute information 107 with the usage information 108, for example, by product type.

[0037] Fig. 4 is a flow chart for explaining the operation procedure of the server device 10 as the information processing device in this embodiment. The procedure in Fig. 4 is executed by the control unit 103, for example, when a developer instructs the server device 10 to identify the cause of the trouble using the terminal device 13.

[0038] In step S40, the control unit 103 determines the trouble product type based on the usage information 108. The trouble product type is a product in which the number of troubles for each product type shows a predetermined degree of deviation from the representative value of the product type group. The product type group includes any multiple product types included in the same product classification, or product types across multiple product classifications. The representative value is, for example, the average, median, or intermediate value of the number of troubles for multiple product types. The degree of deviation is, for example, an index such as standard deviation or variance based on the standard deviation, or an arbitrary ratio (for example, several percent to several tens of percent) to the representative value. The control unit 103 derives the representative value and the standard of the degree of deviation by an arbitrary algorithm using the number of troubles for each product type included in the usage information 108. It is also possible to specify the trouble product type under the condition that the number of troubles deviates from the representative value within an arbitrary range of the number of uses. The range of the number of uses may be arbitrarily set in advance, or the developer may input and set the range of the number via the terminal device 13.

[0039] FIG. 5 is a diagram showing an example of a representative value and a trouble product type in a product type group. In FIG. 5, the horizontal axis indicates the number of products used in a product type or a product type group, and the vertical axis indicates the number of trouble products. Here, as an example of a representative value, the transition of the average Ave of the trouble product number with respect to the number of products used is shown. Also, as an example of a standard of the degree of deviation from the average Ave, the transition of the standard deviation SD with respect to the number of products used is shown. Furthermore, the transition of the trouble product numbers P52, P53, and P54 with respect to the number of products used for three product types is shown. Here, the product type having the trouble product number P52 deviates from the average Ave by more than the standard deviation SD, so it corresponds to the trouble product type. On the other hand, the product type having the product number P53 deviates from the average Ave by more than the standard deviation SD, so it does not correspond to the trouble product type. Also, the product type having the product number P53 does not correspond to the trouble product type because it is below the average Ave.

[0040] Returning to FIG. 4, in step S41, the control unit 103 determines a trouble attribute based on the attribute information 107 and the usage information 108. The trouble attribute is an attribute that contributed to the occurrence of the number of troubles in the troubled product type. The trouble attribute is, for example, the raw materials or components contained in the troubled product and their blending ratio, the product classification, the price, etc. The control unit 103 determines the trouble attribute using any analysis model, for example, decision tree analysis, in which the number of troubles and the attribute information 107 of each product in the product group are used as explanatory variables and the number of troubles is used as a target variable.

[0041] 6 is a diagram showing an example of determining a trouble attribute by decision tree analysis. The control unit 103 derives factors for obtaining the trouble number P52, for example, by an arbitrary decision tree algorithm. For example, when the trouble number P52 is input to the analysis model (node ​​n60), the control unit 103 classifies the attribute information 107 based on the presence or absence of any raw material or component α (nodes n61, n62), then classifies the attribute information 107 based on the sales price of x yen and y yen (nodes n63, n64, n65), and then classifies the product classification as a face wash or emulsion (nodes n66, n67), thereby determining the trouble attribute 68. Here, the trouble attribute 68 is a set of attributes including the absence of raw material or component α, the sales price being more than x yen, and the product classification being a face wash.

[0042] Returning to Fig. 4, in step S42, the control unit 103 outputs warning information. The warning information is information for presenting trouble factors to a development staff member, and includes the number of troubles in the trouble product and trouble attributes. The control unit 103 outputs the warning information to, for example, the communication unit 101, and causes the communication unit 101 to send the warning information to the terminal device 13. The terminal device 13 displays the warning information received from the server device 10, for example, to a development staff member.

[0043] FIG. 7 shows an example of the warning information display. Warning information 70 includes display 71 relating to the problem product and its problem attributes, and display 72 relating to the number of problems. Display 71 includes a character string indicating the product name as the product type of the problem product, and also includes the content of any raw material or component α, the selling price, etc. as the problem attributes. The horizontal axis in display 72 indicates the number of use of the problem product and the product type group to which it belongs, and the vertical axis indicates the number of problems. Display 72 includes a trend 73 of the number of problems of this problem product, and a trend 74 of the representative value of the number of problems in the product type group. Display 72 indicates that the number of problems exceeds the representative value when the number of uses is x or more.

[0044] The warning information 70 enables the developer to recognize the trouble product and the trouble attribute, i.e., the trouble factor. Therefore, the developer can, for example, analyze the trouble product or check the number of troubles in other product types that have the same trouble factor.

[0045] The analysis of the troubled product that can be performed using the warning information 70 includes an analysis of the occurrence rate for each type of trouble. For example, the developer uses the terminal device 13 to cause the server device 10 to execute the analysis of the occurrence rate for each type of trouble.

[0046] Fig. 8 is a flow chart for explaining the operation procedure of the server device 10 for analyzing the occurrence rate for each trouble type. The procedure in Fig. 8 is executed by the control unit 103 when, for example, a developer uses the terminal device 13 to instruct the server device 10 to analyze the occurrence rate for each trouble type.

[0047] In step S80, the control unit 103 determines the product type to be analyzed for the trouble occurrence rate. The control unit 103 determines the product type based on, for example, product type information sent from the terminal device 13. When the developer inputs information specifying an arbitrary product type to the terminal device 13, information corresponding to the input is sent to the server device 10. The product type may be, for example, the troubled product type included in the warning information, or may be a product type arbitrarily selected by the developer.

[0048] In step S81, the control unit 103 determines a product category to be analyzed for the trouble occurrence rate. For example, the control unit 103 acquires from the attribute information 107 the product category that includes the product type determined in step S80.

[0049] In step S82, the control unit 103 determines the trouble type for which the occurrence rate is to be analyzed. The control unit 103 acquires information on the trouble type stored in association with the product classification determined in step S81 from the usage information 108. At this time, the control unit 103 may select the trouble type on the condition that the number of troubles exceeds an arbitrary standard, for example, at least ten to several tens of troubles.

[0050] In step S83, the control unit 103 derives the degree of deviation from a representative value of the number of troubles, for example, the degree of deviation from an expected value, as the trouble occurrence rate for each trouble type, using an arbitrary test model. For example, the control unit 103 derives the degree of deviation from the expected value of the number of troubles for each arbitrary product type and the product category to which the product type belongs, using a chi-square test. In this case, for N trouble types (N is a natural number), the expected value of each trouble type is obtained by multiplying the number of troubles in all the trouble types by the occurrence probability (1 / n) of each trouble type. In this way, it becomes possible to compare the trouble occurrence rate for each trouble type in an arbitrary product type with the trouble occurrence rate for each trouble type in the product category to which the product type belongs.

[0051] In step S84, the control unit 103 outputs the analysis information. The analysis information includes the occurrence rate for each trouble type derived in step S84. The control unit 103 outputs the analysis information to, for example, the communication unit 101, and causes the communication unit 101 to send the analysis information to the terminal device 13. The terminal device 13 displays the analysis information received from the server device 10 to, for example, a developer.

[0052] FIG. 9 shows an example of display of analysis information. Analysis information 90 includes display 91 regarding a troubled product and display 92 regarding a trouble occurrence rate. Display 91 includes the name of the troubled product and also includes a value of the product category "lotion". In display 92, the horizontal axis indicates the trouble type, and the vertical axis indicates the trouble occurrence rate. The trouble type is, for example, redness, swelling, irritation, itching, rash, etc. Display 92 includes an occurrence rate 93 of each trouble type in the product type shown in display 91, and a representative value 94 of the occurrence rate of each trouble type in the product category. Display 92 shows that for trouble types such as "redness", "irritation", "itch", and "rash", the representative value 94 of the trouble occurrence rate in the product category exceeds the trouble occurrence rate 93 in the product type, and for "swelling", the trouble occurrence rate 93 in the product type exceeds the trouble occurrence rate 94 in the product category.

[0053] Using the analysis information 90, a developer can compare the occurrence rate of each type of trouble in a given product type with the occurrence rate of each type of trouble in a product classification that includes that product type, and analyze the tendency of trouble occurrence.

[0054] The operation of the information processing system 1 including the server device 10 as described above makes it possible to efficiently identify the causes of cosmetic troubles. It also makes it possible to efficiently grasp the trends or characteristics of the incidence rate of each type of trouble for troubled products or any product.

[0055] In the above, the processing / control program that specifies the operation of the server device 10 may be stored in a cloud server or the like and downloaded to the server device 10 via the network 11, or may be stored in a non-transitory recording / storage medium that is readable by a computer and read by the server device 10 from the medium.

[0056] The above-mentioned operation procedure is included in the scope of the present embodiment whether it is executed by one information processing device or whether some or all of each step is executed by multiple information processing devices. Furthermore, when multiple information processing devices are used, they may or may not be connected to each other so as to be able to communicate with each other. When multiple information processing devices are not connected to each other so as to be able to communicate with each other, the result of information processing by one information processing device may be shared with the other information processing devices by, for example, storing it in a storage medium and reading it out by the other information processing devices.

[0057] In the above, the embodiment has been described based on the drawings and examples, but it should be noted that those skilled in the art can easily make various modifications and corrections based on the present disclosure. Therefore, it should be noted that these modifications and corrections are included in the scope of the present disclosure. For example, the functions included in each means, each step, etc. can be rearranged so as not to be logically inconsistent, and multiple means, steps, etc. can be combined into one or divided into one. [Explanation of symbols]

[0058] 10: Server device 11: Network 12, 13: Terminal device 101, 121: Communications Department 102, 122: Storage section 103, 123: control unit 125: Input section 126: Output section

Claims

1. A storage unit for storing attribute information indicating attributes of each of a plurality of product types, and usage information including the number of products used and the number of products determined to be in trouble; a control unit that outputs warning information indicating a first product type having a predetermined number of troubles and a first attribute that contributed to the predetermined number of troubles in the first product type based on the attribute information and the usage information, for use in analyzing an occurrence rate of the troubles for each type of the troubles; An information processing device having the above configuration.

2. In claim 1, the control unit determines the first product type by setting a number of troubles having a predetermined degree of deviation from a representative value of the number of troubles in a group of product types having the first attribute as the predetermined number of troubles. Information processing device.

3. In claim 2, The control unit includes information indicating a representative value of the number of troubles relative to the number of uses in the group of product types and the number of troubles in the first product type in the warning information. Information processing device.

4. In claim 1, The control unit derives a first attribute using an analysis model having the attribute information and the usage information as explanatory variables. Information processing device.

5. In claim 1, The control unit outputs analysis information including an occurrence rate of the trouble for each type of the trouble in a product type group to which the first product type belongs, based on the usage information. Information processing device.

6. In claim 5, The control unit derives a degree of deviation of the number of troubles for each type of the trouble from a representative value. Information processing device.

7. In claim 1, The number of troubles is derived based on a subjective evaluation of the use of each product type, or an objective evaluation or measurement result by a third party. Information processing device.

8. In the information processing device, A first step of storing attribute information indicating attributes of each of a plurality of product types, and usage information including the number of products used and the number of products determined to be in trouble; a second step of outputting, based on the attribute information and the usage information, warning information indicating a first product type having a predetermined number of troubles and a first attribute that contributed to the predetermined number of troubles in the first product type, for use in analyzing an occurrence rate of the trouble for each type of the trouble; program.

9. In claim 8, the second step includes determining the first product type by setting a number of troubles having a predetermined degree of deviation from a representative value of the number of troubles in a group of product types having the first attribute as the predetermined number of troubles, program.

10. In claim 9, the second step includes including, in the warning information, information indicating a representative value of the number of troubles relative to the number of uses in the group of product types and the number of troubles in the first product type; program.

11. In claim 8, the second step includes deriving a first attribute by an analysis model having the attribute information and the usage information as explanatory variables; program.

12. In claim 8, a third step of outputting analysis information including an occurrence rate of the trouble for each type of the trouble in a product type group to which the first product type belongs based on the usage information; and further causing the information processing device to execute: program.

13. In claim 12, The third step includes deriving a degree of deviation of the number of troubles for each type of the trouble from a representative value. program.

14. In claim 8, The number of problems is derived based on a subjective evaluation of the use of each product type, or an objective evaluation or measurement by a third party. program.

15. A method for operating an information processing device, comprising: A first step of storing attribute information indicating attributes of each of a plurality of product types, and usage information including the number of products used and the number of products determined to be in trouble; a second step of outputting warning information indicating a first product type having a predetermined number of troubles and a first attribute that contributed to the predetermined number of troubles in the first product type based on the attribute information and the usage information, for use in analyzing an occurrence rate of the troubles for each type of the troubles. How it works.

16. In claim 15, the second step includes determining the first product type by setting a number of troubles having a predetermined degree of deviation from a representative value of the number of troubles in a group of product types having the first attribute as the predetermined number of troubles, How it works.

17. In claim 16, the second step includes including, in the warning information, information indicating a representative value of the number of troubles relative to the number of uses in the group of product types and the number of troubles in the first product type; How it works.

18. In claim 15, the second step includes deriving a first attribute by an analysis model having the attribute information and the usage information as explanatory variables; How it works.

19. In claim 15, a third step of outputting analysis information including an occurrence rate of the trouble for each type of the trouble in a product type group to which the first product type belongs based on the usage information; The information processing device further executes: How it works.

20. 20. In claim 19, The third step includes deriving a degree of deviation of the number of troubles for each type of the trouble from a representative value. How it works.

21. In claim 15, The number of problems is derived based on a subjective evaluation of the use of each product type, or an objective evaluation or measurement by a third party. How it works.

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