Ordering support device and ordering support method

Abstract

To provide an ordering support device and an ordering support method which can order a product while taking the influence on an environment into consideration upon manufacturing the product.SOLUTION: An ordering support device 100 comprises a request information acquisition unit 110, a candidate extraction unit 120, a manufacturing condition generation unit 130, and an output unit 140. The request information acquisition unit 110 acquires request information of a user, related to a product and manufacture of the product. The candidate extraction unit 120 extracts a candidate section which can manufacture the product among predetermined manufacture sections, on the basis of the request information acquired by the request information acquisition unit 110. The manufacturing condition generation unit 130 creates a manufacturing condition of the candidate section, including an environment index related to environmental impact of the candidate section extracted by the candidate extraction unit 120. The output unit 140 outputs the manufacturing condition created by the manufacturing condition generation unit 130.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present disclosure relates to an ordering support device and an ordering support method. [Background technology]

[0002] 2. Description of the Related Art Conventionally, a system is known that receives design information and delivery conditions desired by a user and manufactures a product in accordance with the design information and delivery conditions.

[0003] For example, the information processing device described in Patent Document 1 receives design information and delivery conditions desired by a user, and matches the design information with processing equipment to be requested to process the product based on the design information. The information processing device then transmits processing instructions to a factory that has the matched processing equipment, and controls the processing of the product and the shipping of the product to the delivery destination. This allows for proper communication between the requester and the manufacturer. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2016-206877 A Summary of the Invention [Problem to be solved by the invention]

[0005] However, in the information processing device of Patent Document 1, although the user determines the factory based on the desired product shape, delivery date, price, etc., it does not take into consideration efforts to address environmental issues, which have become an awareness of many companies and individuals in recent years.

[0006] 2. Description of the Related Art Addressing environmental issues such as carbon dioxide emissions and global warming is an important issue for companies that manufacture products, and is also attracting attention from users who purchase these products.

[0007] Therefore, an object of the present disclosure is to provide an ordering support device and an ordering support method that enable ordering of a product while taking into consideration the impact on the environment when manufacturing the product. [Means for solving the problem]

[0008] One aspect of the present disclosure provides an order support device that supports ordering of a product that is any one of clothing, footwear, and accessories. The order support device includes a request information acquisition unit, a candidate extraction unit, a manufacturing condition generation unit, and an output unit. The request information acquisition unit acquires user request information regarding a product and the manufacturing of the product. The candidate extraction unit extracts candidate sections capable of manufacturing the product from among the specified manufacturing sections based on the request information acquired by the request information acquisition unit. The manufacturing condition generation unit generates manufacturing conditions for the candidate section extracted by the candidate extraction unit, including an environmental index regarding the impact of the candidate section on the environment. The output unit outputs the manufacturing conditions generated by the manufacturing condition generation unit.

[0009] According to this aspect, the manufacturing condition generation unit generates manufacturing conditions of candidate sections capable of manufacturing a product based on the user's request information, and the output unit outputs the manufacturing conditions. Since the manufacturing conditions include an environmental index, the user can confirm the manufacturing conditions including the environmental index. As a result, the user can order the product while considering the impact on the environment when manufacturing the product.

[0010] One aspect of the present disclosure provides an ordering support method executed by an ordering support device that supports ordering of a product that is any one of clothing, footwear, and accessories. The ordering support method includes a requirement information acquisition step, a candidate extraction step, a manufacturing condition generation step, and an output step. In the requirement information acquisition step, requirement information from a user regarding a product and the manufacturing of the product is acquired. In the candidate extraction step, candidate sections capable of manufacturing the product are extracted from among predetermined manufacturing sections based on the requirement information acquired in the requirement information acquisition step. In the manufacturing condition generation step, manufacturing conditions for the candidate section extracted in the candidate extraction step are generated, including an environmental index regarding the impact that the candidate section has on the environment. In the output step, the manufacturing conditions generated in the manufacturing condition generation step are output.

[0011] According to this aspect, in the manufacturing condition generating step, manufacturing conditions of candidate sections capable of manufacturing a product based on the user's request information are generated, and in the output step, the manufacturing conditions are output. Since the manufacturing conditions include an environmental index, the user can confirm the manufacturing conditions including the environmental index. As a result, the user can order the product while considering the impact on the environment when manufacturing the product. [Brief description of the drawings]

[0012] [Figure 1] FIG. 1 is a system overview diagram showing a product ordering system 10 according to a first embodiment of the present disclosure. [Diagram 2] 1 is a functional block diagram showing each function of an order support device 100 according to a first embodiment of the present disclosure. [Diagram 3] FIG. 13 is a diagram showing an example of user request information input using the user terminal 20 when the user is a trader such as a wholesaler or retailer. [Figure 4] FIG. 2 is a diagram illustrating an example of a factory DB (DB: database). [Diagram 5] 11 is a diagram showing an example of user request information and manufacturing conditions of each factory extracted based on the request information; FIG. [Figure 6]4 is a flowchart showing an order support method M100 executed by the order support device 100 according to the first embodiment of the present disclosure. [Figure 7] 11 is a functional block diagram showing each function of an order support device 200 according to a second embodiment of the present disclosure. FIG. [Figure 8] FIG. 13 is a diagram showing how the actual scores (evaluation values) of the manufacturing conditions are converted into standardized values ​​using normal distribution based on the desired values ​​and the allowable (upper limit) values. [Figure 9] FIG. 13 is a diagram showing an example of user request information input using a user terminal 20 when the user is an individual. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Note that the embodiment described below is merely a specific example for carrying out the present invention, and is not intended to limit the interpretation of the present invention. In addition, in order to facilitate understanding of the description, the same reference numerals are used as far as possible for the same components in each drawing, and duplicated descriptions may be omitted.

[0014] First Embodiment [Product ordering system configuration] Fig. 1 is a system overview diagram showing a product ordering system 10 according to a first embodiment of the present disclosure. As shown in Fig. 1, the product ordering system 10 includes a user terminal 20 and an ordering support device 100. Note that in this embodiment, the product ordered by the user is described taking footwear such as shoes as an example, but is not limited thereto, and may be, for example, clothing (clothing, socks, hats, etc.) and other accessories worn directly or indirectly, or may include parts of such products (for example, shoe soles, etc.).

[0015] The user terminal 20 is a terminal through which a user inputs and confirms information for ordering a product, and includes, for example, a personal computer, a tablet, a smartphone, and the like.

[0016] The ordering support device 100 is, for example, a server device, and exchanges data with the user terminal 20 via a network such as the Internet. Specifically, the ordering support device 100 acquires request information from the user terminal 20, generates manufacturing conditions based on the request information, and transmits the manufacturing conditions to the user terminal 20. When the ordering support device 100 receives order information from the user terminal 20, it issues an order for the manufacture of a product to, for example, one of the factories 30A to 30C. The ordering support device 100 may include a database that stores data required for these processes, or may be able to access an external database. Details of the ordering support device 100 will be described later.

[0017] When a product order is received from the product ordering system 10, the factories 30A to 30C manufacture the product based on the product order.

[0018] The products manufactured in the factories 30A to 30C may be delivered to a delivery location designated by the user, for example. The delivery location may be registered in advance by the user, or may be designated by the user using the user terminal 20 each time the product is ordered.

[0019] In this manner, the user can use the user terminal 20 in the product ordering system 10 to place an order for a desired product and purchase the product.

[0020] [Configuration of ordering support device] 2 is a functional block diagram showing each function of the order support device 100 according to the first embodiment of the present disclosure. As shown in FIG. 2, the order support device 100 includes a request information acquisition unit 110, a candidate extraction unit 120, a manufacturing condition generation unit 130, an output unit 140, an order acceptance unit 150, and a storage unit 160.

[0021] The request information acquisition unit 110 acquires user request information related to a product and the manufacture of the product. For example, a user inputs a desired pair of shoes and request information related to the manufacture of the shoes using the user terminal 20, and transmits the input information to the order support device 100 via the Internet. Then, the request information acquisition unit 110 acquires the request information.

[0022] Here, the request information includes, for example, shoe product information, which includes design drawings, 3D models, product numbers, etc. The request information also includes, for example, shoe manufacturing information, which includes shoe materials, processing methods, delivery dates, precision, quantity, price, etc.

[0023] FIG. 3 is a diagram showing an example of user request information input using the user terminal 20 when the user is a trader such as a wholesaler or a retailer. As shown in FIG. 3, the user may input product information of shoes by inputting a 3D model or a product number using the user terminal 20. The user may also input manufacturing information of the shoes using the user terminal 20 by inputting TPU (Thermoplastic Polyurethane resin) (material), 3D printing (processing method), one month from order (delivery date), error of 1 mm or less (precision), 10 pairs (quantity), and 10,000 yen (price). Note that 3D printing is a processing method called additive manufacturing or three-dimensional stacking method in which a product is processed using a 3D printer.

[0024] The candidate extraction unit 120 extracts candidate sections capable of manufacturing the product from among the specified manufacturing sections, based on the request information acquired by the request information acquisition unit 110. For example, when the user's request information includes the above-mentioned shoe product information (specified product number) and shoe manufacturing information (TPU, 3D printing, etc.), the candidate extraction unit 120 extracts manufacturing sections capable of manufacturing the shoes. In other words, the candidate extraction unit 120 extracts manufacturing sections that are equipped with at least 3D printing processing equipment and are capable of manufacturing shoes with a specified product number using TPU as a material.

[0025] The manufacturing sections extracted by the candidate extraction unit 120 may be only those that satisfy all of the contents of the user's request information, or may be manufacturing sections that can at least produce the shoes specified by the user, even if they do not satisfy all of the contents of the user's request information.

[0026] Here, the manufacturing section is typically a factory that manufactures shoes, and information about these factories may be stored in advance in the storage unit 160 as, for example, a factory DB.

[0027] Fig. 4 is a diagram showing an example of the factory DB. As shown in Fig. 4, the factory DB stores, for each factory, "environment using non-fossil energy," "processing equipment," "operation status," "location," "labor conditions," "material inventory," "delivery method," "production record," and the like.

[0028] "Non-fossil energy usage environment" may include information regarding the energy used in the factory, such as whether the environment uses non-fossil energy such as solar, wind, or geothermal energy, and if it does, how much non-fossil energy is currently available. Non-fossil energy is energy that is not derived from fossil resources. Non-fossil energy includes renewable energy and energy generated by nuclear power. Renewable energy includes (1) solar energy, (2) wind power, (3) hydroelectric power, (4) geothermal power, (5) solar heat, (6) heat in the atmosphere and other heat present in nature, and (7) biomass (organic matter derived from plants and animals).

[0029] "Processing equipment" is information regarding the type and manufacturing capacity of equipment installed in a factory, and may further include information such as asset value and lease fees.

[0030] "Operation status" is information regarding the operating hours of the factory, and may further include information regarding busy seasons, off-seasons, holiday periods, and the like.

[0031] "Location" is information about the location of the factory, and typically the address of the factory.

[0032] "Working conditions" is information about the wages (unit price) and working hours of the factory workers. For example, it may include the average unit price of the workers and the labor cost to produce one pair of shoes.

[0033] "Material inventory" is information about the inventory of materials for shoes. For example, "material inventory" may be the amount of materials in stock, or may be information indicating how many pairs of shoes can be manufactured, or may include information indicating the next arrival time and amount in the case of no inventory.

[0034] The "delivery method" is information about a means for delivering shoes manufactured in a factory from the factory to a destination such as a user, an orderer, or a purchaser. For example, the "delivery method" may include a truck, a ship, an airplane, and combinations thereof.

[0035] "Manufacturing performance" is information about the performance of shoes manufactured at a factory. For example, "manufacturing performance" may include the total number of shoes manufactured, the defect (return) rate, the number of complaints, evaluation scores, comments, and the like.

[0036] In this way, the candidate extraction unit 120 refers to the factory DB based on the shoe product information (predetermined product number) and shoe manufacturing information (TPU, 3D printing, etc.) included in the user's request information, and extracts factories (candidate sections) that can manufacture the shoes from the pre-registered factories.

[0037] Note that, here, information on the above items for Factory A, Factory B, Factory C, etc. is stored in the factory DB, but for example, if the same factory has multiple facilities (production lines), and if different processing facilities (production methods) are operated depending on the operating time, or different products are manufactured, each may be treated as one production section. In other words, information on the above items may be stored for each production section in the factory DB.

[0038] The factory DB may be updated every hour or every day, but is preferably updated in real time. For example, by updating the current amount of non-fossil energy and the inventory of materials in real time, the manufacturing conditions described below can be generated with high accuracy.

[0039] Returning to the explanation of Fig. 2, the manufacturing condition generating unit 130 generates manufacturing conditions for the candidate section extracted by the candidate extracting unit 120. The manufacturing conditions include at least the environmental index of the candidate section, and may further include information on the price of the shoes, information on the delivery date of the shoes, information on the accuracy of the shoes, and the like.

[0040] The environmental index is information on the impact of a candidate section on the environment when the candidate section manufactures a product, and may be expressed, for example, as a score, a rank, or a level, and the impact on the environment may be expressed as a rank such as "S," "A," or "B." This makes it possible to check the extent to which the candidate section impacts the environment and how environmentally conscious it is.

[0041] Fig. 5 is a diagram showing an example of the user's request information and the manufacturing conditions of each factory extracted based on the request information. As shown in Fig. 5, here, Factory A, Factory B, and Factory C are extracted as factories capable of manufacturing at least the shoes specified by the user, and the manufacturing conditions for each factory are generated. The manufacturing conditions include "environmental index," "delivery date," "precision," and "price," etc.

[0042] The "environmental index" may be calculated based on, for example, the amount of carbon dioxide emission, the amount of solvent used, the degree of impact on ozone layer depletion, the amount of electricity consumed, the amount of water used, etc., when the factory manufactures shoes. Here, the "environmental index" is displayed as a score of "80 points," "20 points," and "70 points" for Factory A, Factory B, and Factory C, respectively, and is calculated based on the amount of carbon dioxide emission, the amount of solvent used, the degree of impact on ozone layer depletion, the amount of electricity consumed, the amount of water used, etc., using a preset formula.

[0043] The "environmental index" is influenced by, for example, the "material" and "processing method" included in the manufacturing information of the user's request information. Specifically, it is expected that the environmental index, represented by the amount of carbon dioxide emitted during material production, and the amount of solvent used will differ depending on the "material." In addition, the processing equipment will be determined depending on the "processing method," and the amount of electricity consumed, the amount of water used, and the operating time will change.

[0044] In addition, for example, when non-fossil energy is used based on the "non-fossil energy usage environment" in the factory DB shown in Figure 4, the carbon dioxide emissions for the electricity used may be counted as zero, and the carbon dioxide emissions during transportation from the factory to the destination may be taken into account based on the "location" and "delivery method" in the factory DB.

[0045] The "delivery date" is influenced by, for example, the "processing method," "delivery date," "precision," "quantity," and "price" included in the manufacturing information of the user's request information. Specifically, the delivery date may be long if the processing method requires a long manufacturing time, the number of units is large, and the price is low. Here, the "delivery date" is displayed as a specific period of time as "1 month," "1 week," and "2 weeks" for Factory A, Factory B, and Factory C, respectively, but, for example, if the "delivery date" included in the manufacturing information of the user's request information is met, it may be displayed as "○," and if it is not met, it may be displayed as "×."

[0046] Furthermore, the "delivery date" may be delayed during busy periods and holidays, or when materials are out of stock, based on the "operation status," "location," and "material inventory" of the factory DB shown in Fig. 4. If the factory is overseas, the "delivery date" may be set taking into account the transportation time.

[0047] "Accuracy" is affected by, for example, the "processing method" and "accuracy" included in the manufacturing information of the user's request information. Specifically, in the case of a high-accuracy processing method, the shape error of the manufactured shoes is small. Here, "accuracy" is displayed as a score of "90 points," "50 points," and "70 points" for Factory A, Factory B, and Factory C, respectively, and may be calculated using a preset formula. Also, for example, if the "accuracy" included in the manufacturing information of the user's request information is met, it may be displayed as "○," and if it is not met, it may be displayed as "×."

[0048] Furthermore, the "accuracy" may be calculated based on, for example, the "processing equipment" and the "manufacturing performance" in the factory DB shown in Fig. 4. For example, when the processing equipment is the latest model or has high performance, the "accuracy" may be calculated as the accuracy corresponding to the equipment, or may be calculated as the accuracy improved by executing a plurality of processes. Note that when improving the accuracy by executing a plurality of processes, it may be taken into consideration that the delivery date may be delayed or the price may be increased.

[0049] "Price" is influenced by, for example, "processing method," "delivery date," "precision," "quantity," and "price" included in the manufacturing information of the user's request information. Specifically, the price may be lower if the processing method results in less material loss, the price may be higher if the delivery date is shorter in order to operate the factory at full capacity, and the price per pair may be lower if the quantity is large. Here, "price" is displayed as specific prices of "15,000 yen," "5,000 yen," and "10,000 yen" for Factory A, Factory B, and Factory C, respectively, but, for example, if the "price" included in the manufacturing information of the user's request information is met, it may be displayed as "○," and if it is not met, it may be displayed as "×."

[0050] In addition, it may be considered that the "price" will be higher, for example, when the asset value or lease fee of the processing equipment is high, when it is a busy season, and when the wages of workers are high, based on the "processing equipment," "operation status," and "labor conditions" in the factory DB shown in Figure 4.

[0051] In this way, the manufacturing condition generating unit 130 calculates each item of the manufacturing conditions using each item of the user's request information that affects each item and each item of the factory DB shown in Fig. 4, but is not limited to the above-mentioned specific example. Each item of the manufacturing conditions may be calculated by appropriately using or combining each item that is thought to affect each item.

[0052] Furthermore, although "environmental index," "delivery date," "precision," and "price" are calculated here as manufacturing conditions, the present invention is not limited to these and may use only a part of these, or other items related to the manufacturing conditions of shoes may be added.

[0053] Returning to the description of FIG. 2, the output unit 140 outputs the manufacturing conditions generated by the manufacturing condition generating unit 130. For example, the manufacturing conditions may be transmitted to the user terminal 20 via the Internet and displayed on the screen of the user terminal 20.

[0054] The order receiving unit 150 receives an order from a user based on the manufacturing conditions. For example, when a user checks the manufacturing conditions displayed on the screen of the user terminal 20 and wishes to place an order with any one of Factory A, Factory B, and Factory C (for example, manufacturing conditions of Factory A), the user inputs (selects) an order to Factory A on the user terminal 20 and transmits the order to the ordering support device 100 via the Internet. The order receiving unit 150 of the ordering support device 100 may then receive the order and place an order with Factory A.

[0055] As described above, the memory unit 160 stores items such as "non-fossil energy usage environment," "processing equipment," "operating status," "location," "working conditions," "material inventory," "delivery method," and "production history" for each manufacturing section (factory) as a factory DB as shown in FIG.

[0056] Note that the items stored in the memory unit 160 are not limited to these, and other data necessary for the processing of the order support device 100 may also be stored, and data may also be stored temporarily during the processing process.

[0057] [How to support ordering] Next, a detailed explanation will be given of an order support method in which request information input by a user using the user terminal 20 is acquired, manufacturing conditions are generated and transmitted to the user terminal 20, and an order is received from the user.

[0058] Fig. 6 is a flowchart showing an order support method M100 executed by the order support device 100 according to the first embodiment of the present disclosure. As shown in Fig. 6, the order support method M100 includes steps S110 to S160, and each step is executed by a computer included in the order support device 100 and a server on the cloud.

[0059] In step S110, the request information acquisition unit 110 acquires user request information related to a product and the manufacturing of the product (request information acquisition step). As a specific example, the request information acquisition unit 110 acquires user request information from the user terminal 20. The user request information is shoe product information and shoe manufacturing information as shown in FIG.

[0060] In step S120, the candidate extraction unit 120 extracts candidate sections capable of manufacturing the product from among the pre-stored manufacturing sections based on the request information acquired in step S110 (candidate extraction step). As a specific example, the candidate extraction unit 120 refers to a factory DB and extracts factories capable of manufacturing the shoes desired by the user from pre-registered factories. The candidate extraction unit 120 may extract factories that are at least capable of manufacturing the shoes desired by the user, even if they do not satisfy all of the request information of the user.

[0061] In step S130, the manufacturing condition generating unit 130 generates manufacturing conditions for the candidate section extracted in step S120 (manufacturing condition generating step). As a specific example, the manufacturing condition generating unit 130 generates manufacturing conditions for at least Factory A, Factory B, and Factory C that are capable of manufacturing the shoes desired by the user, as shown in Fig. 5. The manufacturing conditions include an environmental index, information about the price of the shoes, information about the delivery date of the shoes, and information about the precision of the shoes, and each item is influenced by each item included in the user's request information and is calculated based on each item in the factory DB as shown in Fig. 4.

[0062] In step S140, the output unit 140 outputs the manufacturing conditions generated in step S130 (output step). As a specific example, the output unit 140 transmits the manufacturing conditions of the A factory, the B factory, and the C factory as shown in FIG. 5 to the user terminal 20 and displays them on the screen of the user terminal 20.

[0063] In step S150, if the order receiving unit 150 receives an order from the user based on the manufacturing conditions output in step S140 (order receiving step), the process proceeds to step S160 ("Yes" in step S150). As a specific example, on the user terminal 20, the user checks the manufacturing conditions of Factory A, Factory B, and Factory C displayed on the screen as shown in Fig. 5, and if the user wishes to place an order at any of the factories (here, it is assumed that Factory A is selected), the user inputs that fact and transmits it to the ordering support device 100 via the Internet. The order receiving unit 150 then receives it.

[0064] On the other hand, on the user terminal 20, the user checks the manufacturing conditions of Factory A, Factory B, and Factory C as shown in Fig. 5 displayed on the screen, and if the user does not wish to place an order with any of the factories, the process returns to step S110 (No in step S150).Then, the request information acquisition unit 110 acquires the desired shoes and the request information related to the manufacturing of the shoes input again by the user (the same process is repeated thereafter).

[0065] In step S160, the ordering support device 100 requests the manufacture of a product based on the order received in step S150 (manufacturing request step). As a specific example, the ordering support device 100 requests Factory A to manufacture shoes under the manufacturing conditions of Factory A shown in Fig. 5. Factory A then manufactures the shoes based on the request from the ordering support device 100 and delivers them to the user.

[0066] [Effects of the first embodiment] According to the ordering support device 100 and ordering support method M100 according to the first embodiment of the present disclosure, the manufacturing condition generating unit 130 generates manufacturing conditions for factories A, B, and C capable of manufacturing shoes based on the user's request information, and the output unit 140 outputs the manufacturing conditions to be displayed on the screen of the user terminal 20. Since the manufacturing conditions include environmental indicators, the user can confirm the manufacturing conditions including the environmental indicators. As a result, the user can order the shoes while considering the impact on the environment when manufacturing the shoes.

[0067] In this embodiment, the environmental index is calculated based on carbon dioxide emission, solvent usage, impact on ozone layer destruction, power consumption, water usage, etc., as shown in Fig. 5, but is not limited thereto. For example, as an index for evaluating the load on the environment of a product or business activity, the environmental index may be calculated based on at least one of the following, which are shown in EF (Environmental Footprint) 3.0: carbon dioxide emission, impact on land and soil, fossil fuel usage, mineral and metal usage, water usage, impact on freshwater ecology, emission of nutrients to freshwater systems, impact on acidification, emission of nutrients to marine systems, emission of nutrients to terrestrial ecology, emission of photochemical ozone, impact on the respiratory system, emission of radioactive materials, emission of carcinogenic materials, emission of non-carcinogenic toxic materials and toxic materials, and impact on ozone layer destruction.

[0068] <Second embodiment> Next, in a second embodiment of the present disclosure, an ordering support device including a recommendation determination unit that recommends a recommended section to a user, in addition to the ordering support device 100 described in the first embodiment, will be described.

[0069] Fig. 7 is a functional block diagram showing each function of the order support device 200 according to the second embodiment of the present disclosure. In Fig. 6, the same components as those of the order support device 100 according to the first embodiment of the present disclosure shown in Fig. 2 are denoted by the same reference numerals, and detailed description thereof will be omitted. In this embodiment, the components different from those of the first embodiment of the present disclosure will be mainly described.

[0070] As shown in FIG. 7, the order support device 200 includes a request information acquisition unit 110, a candidate extraction unit 120, a manufacturing condition generation unit 130, an output unit 140, an order reception unit 150, a storage unit 160, and a recommendation determination unit 210.

[0071] The recommendation determination unit 210 acquires information on the items that the user places importance on, and determines a recommended section to be recommended to the user from among the candidate sections extracted by the candidate extraction unit 120, based on the information on the items that the user places importance on. For example, as described in the first embodiment of the present disclosure, at least Factory A, Factory B, and Factory C are extracted as factories capable of manufacturing shoes designated by the user, and manufacturing conditions for each factory are generated, and among them, the recommendation determination unit 210 determines a factory to be recommended to the user based on the information on the items that the user places importance on.

[0072] Here, information regarding items that the user considers important may include, for example, which of the environmental indicators, delivery time, accuracy, and price the user considers important, the priority order, and even weighting according to the degree of importance (priority).

[0073] Information on items that a user places importance on may be stored in the storage unit 160 for each user as user definition, or may be input each time by the user as user request information using the user terminal 20. The recommendation determination unit 210 acquires information on items that a user places importance on, which is thus stored as user definition or input each time.

[0074] In a case where the user places importance on environmental indicators, the recommendation determination unit 210 may determine, for example, from among factories A, B, and C shown in FIG. 5, that factory A, which has the best environmental indicator included in the manufacturing conditions, is the factory to be recommended to the user.

[0075] Similarly, when a user places importance on delivery time, accuracy, or price, the recommendation determination unit 210 may determine that the factory with the best score (rating) for each item included in the manufacturing conditions is the factory to be recommended to the user.

[0076] Furthermore, in cases where the information regarding items that are important to the user includes a priority or weighting for each item included in the manufacturing conditions, the recommendation determination unit 210 may determine a factory to recommend to the user based on the priority or weighting.

[0077] For example, weights α, β, γ, and δ may be specified for each of the manufacturing condition items "environmental index," "delivery date," "precision," and "price" shown in Fig. 5, and the recommendation score R may be calculated using the following formula. α, β, γ, and δ may be arbitrary coefficients specified by the user, or may be coefficients set in advance according to a specified priority order. Recommended score R = α x (environmental index) + β x (delivery time) + γ x (precision) + δ x (price)

[0078] Furthermore, when a user inputs desired shoes and request information regarding the manufacture of the shoes using the user terminal 20, an allowable value may be input in addition to the desired value of the user. Specifically, if the user inputs the desired price of the shoes as 10,000 yen and the allowable (upper limit) price as 13,000 yen, the price score of the manufacturing conditions is standardized based on the desired price and the allowable price, for example, using normal distribution and a regression equation.

[0079] FIG. 8 is a diagram showing how the actual score (evaluation value) of the manufacturing condition is converted into a standardized value using normal distribution based on the desired value and the allowable (upper limit) value. As shown in FIG. 8, the desired value is set to "100" and the allowable (upper limit) is set to "0." If the actual score (evaluation value) is better than the desired value, it is converted into a standardized value "100" equivalent to the desired value. If the actual score (evaluation value) is worse than the desired value, it is converted into a standardized value using normal distribution (with the allowable (upper limit) set to "0"). Specifically, if a user inputs a desired price of shoes as 10,000 yen and an allowable (upper limit) price as 13,000 yen, if the actual score (evaluation value) of the manufacturing condition is less than 10,000 yen, the standardized value is set to "100," and if the actual score (evaluation value) is more than 10,000 yen, the allowable (upper limit) price of 13,000 yen is set to "0," and it is converted into a standardized value using normal distribution.

[0080] Here, the price of a manufacturing condition is given as an example, but the same can be said for other conditions, such as "environmental index," "delivery time," and "precision," and the actual score (evaluation value) of the manufacturing condition can be converted into a standardized value by having the user input an acceptable value in addition to a desired value.

[0081] As a result, the recommendation determination unit 210 can convert the actual scores (evaluation values) for each item of manufacturing conditions into standardized values ​​and then determine the factory to recommend to the user, thereby making it possible to recommend a factory that is more suited to the user's preferences by reflecting the user's tolerance value.

[0082] The output unit 140 outputs the manufacturing conditions of the recommended section. For example, when the recommended factory is factory A, the output unit 140 may display on the screen of the user terminal 20, in addition to the manufacturing conditions of factory A, factory B, and factory C as shown in Fig. 5, a message indicating that factory A is the recommended factory among them. Also, on the screen of the user terminal 20, only factory A (manufacturing conditions of factory A) which is the recommended factory may be displayed, or factory A, factory B, and factory C may be displayed in the order of recommendation.

[0083] [Effects of the second embodiment] According to the ordering support device 200 of the second embodiment of the present disclosure, in addition to the ordering support device 100 of the first embodiment of the present disclosure, a recommendation determination unit 210 is provided, and the recommendation determination unit 210 determines a factory to be recommended to a user based on information regarding items that the user places importance on, so that the user can easily identify factories that match their preferences and place an order for shoes.

[0084] <Modification> In the first and second embodiments of the present disclosure, examples have been described in which the users of the product ordering system 10 are businesses such as wholesalers and retailers, but the users are not limited to such businesses and may also be individuals.

[0085] FIG. 9 is a diagram showing an example of user request information input using the user terminal 20 when the user is an individual. As shown in FIG. 9, the user may input product information of shoes by inputting a 3D model or a product number using the user terminal 20. The user may also input manufacturing information of the shoes by inputting one month from order (delivery date), one pair (quantity), and 10,000 yen (price) for the shoes using the user terminal 20. Here, unlike the case in which the user shown in FIG. 3 is a trader such as a wholesaler or retailer, TPU (material), 3D printing (processing method), and error of 1 mm or less (precision) may be automatically set instead of being input by the user.

[0086] If the user is a business, he or she can input required information such as materials, processing methods, and precision based on his or her professional knowledge, but if the user is an individual, this information may be automatically set from, for example, shoe product information.

[0087] [Effects of modified examples] Even if there are items in the shoe manufacturing information that the user has no specialized knowledge and finds difficult to input, these are automatically set from the shoe product information, so that the ordering support device can be used not only by users who are businesses such as wholesalers and retailers, but also by individuals.

[0088] [Summary of the effects of this disclosure] According to the present disclosure, when ordering any one of clothing, footwear, and accessories, manufacturing conditions of candidate sections capable of manufacturing the product based on the user's request information are generated and the user is prompted to confirm them. The manufacturing conditions include environmental indicators, so that the user can order the product while taking into consideration the impact on the environment when manufacturing the product.

[0089] [Aspects] (1) An ordering support device according to one aspect of the present disclosure is an ordering support device that supports ordering of a product, which is any one of clothing, footwear, and accessories, and includes: a request information acquisition unit that acquires user request information regarding the product and the production of the product; a candidate extraction unit that extracts candidate sections among specified production sections that are capable of producing the product based on the request information; a production condition generation unit that generates production conditions for the candidate sections, including an environmental indicator regarding the impact of the candidate sections on the environment; and an output unit that outputs the production conditions. According to the ordering support device of (1) above, a user can check manufacturing conditions including environmental indicators, and can therefore order a product while taking into consideration the impact on the environment when manufacturing the product. (2) In the ordering support device described in (1) above, the environmental index may be obtained based on a fossil energy usage environment stored at least for each of the manufacturing sections. According to the ordering support device of (2) above, the environmental index is obtained based on the fossil energy usage environment, so that the impact on the environment during the manufacture of the product can be appropriately reflected in the environmental index. (3) In the ordering support device described in (1) or (2) above, the manufacturing conditions may include at least any one of information regarding price, information regarding delivery time, and information regarding accuracy, in addition to the environmental index. According to the ordering support device of (3) above, the user can order the product while taking into consideration, as manufacturing conditions, information on price, information on delivery time, and information on accuracy, in addition to the environmental index. (4) In the ordering support device described in any of (1) to (3) above, the manufacturing condition generation unit may generate manufacturing conditions for the candidate sections based on at least one of information related to processing equipment, operating status, location, working conditions, material inventory, delivery method, and manufacturing history stored for each manufacturing section. According to the ordering support device of (4) above, the manufacturing condition generating unit can generate manufacturing conditions for the candidate sections based on various information. (5) In the ordering support device described in any of (1) to (4) above, a recommendation determination unit may be further provided that acquires information regarding items that are important to the user and determines a recommended section from among the candidate sections to be recommended to the user based on the information regarding the items that are important to the user, and the output unit may output manufacturing conditions for the recommended section. According to the ordering support device of (5) above, the recommendation determination unit determines the recommended section based on information regarding the items that the user considers important, so that the user can easily check the manufacturing section that is in line with the items that the user considers important. (6) In the ordering support device described in (5) above, the information regarding the items that the user places importance on may be obtained based on a user definition stored for each of the users. According to the ordering support device of (6) above, information on items that are important to each user can be appropriately used for each user. (7) In the ordering support device described in (5) above, the information regarding the items that the user places importance on may be obtained based on information included in the request information input by the user. According to the ordering support device of (7) above, the user can input information regarding items that the user places importance on each time the user orders a product. (8) In the ordering support device described in any of (1) to (7) above, the environmental indicators may be obtained based on at least one of the following when manufacturing the product: carbon dioxide emissions, impact on land and soil, fossil fuel consumption, amount of minerals and metals used, amount of water used, impact on freshwater ecology, emission of nutrients into freshwater systems, impact on acidification, emission of nutrients into marine systems, emission of nutrients into terrestrial ecology, emission of photochemical ozone, impact on the respiratory system, emission of radioactive substances, emission of carcinogenic substances, emission of non-carcinogenic toxic substances, and emission of hazardous substances, and impact on ozone layer depletion. According to the ordering support device of (8) above, the environmental index can be obtained based on various items. (9) An ordering support method according to another aspect of the present disclosure is an ordering support method executed by an ordering support device that supports ordering of a product, which is any one of clothing, footwear, and accessories, and includes a requirement information acquisition step of acquiring user requirement information regarding the product and the production of the product, a candidate extraction step of extracting candidate sections among specified production sections in which the product can be produced based on the requirement information, a production condition generation step of generating production conditions for the candidate sections including an environmental indicator regarding the impact of the candidate sections on the environment, and an output step of outputting the production conditions. According to the ordering support method of (9) above, the user can check the manufacturing conditions including the environmental indicators, and can therefore order the product while taking into consideration the impact on the environment when manufacturing the product.

[0090] The above-described embodiments are intended to facilitate understanding of the present disclosure, and are not intended to limit the present disclosure. The elements of the embodiments, as well as their arrangements, materials, conditions, shapes, sizes, etc., are not limited to those illustrated, and can be changed as appropriate. In addition, configurations shown in different embodiments can be partially substituted or combined with each other. [Industrial Applicability]

[0091] The present disclosure is useful in systems such as those that assist in ordering products such as clothing, footwear, and accessories. [Explanation of symbols]

[0092] 10... product ordering system, 20... user terminal, 30A to 30C... factories, 100, 200... ordering support device, 110... request information acquisition unit, 120... candidate extraction unit, 130... manufacturing condition generation unit, 140... output unit, 150... order acceptance unit, 160... storage unit, 210... recommendation determination unit, M100... ordering support method, S110 to S160... each step of the ordering support method M100

Claims

1. An ordering support device that supports ordering of any one of clothing, footwear, and accessories, a request information acquisition unit that acquires user request information regarding the product and the manufacturing of the product; a candidate extraction unit that extracts candidate sections capable of manufacturing the product from among predetermined manufacturing sections based on the requirement information; a manufacturing condition generating unit that generates manufacturing conditions for the candidate section, the manufacturing condition including an environmental index relating to an impact of the candidate section on the environment; An output unit that outputs the manufacturing conditions. Order support device.

2. The environmental index is obtained based on a non-fossil energy usage environment stored at least for each of the manufacturing sections. The ordering support device according to claim 1.

3. The manufacturing conditions include, in addition to the environmental indicators, at least any one of information on price, information on delivery time, and information on accuracy. The ordering support device according to claim 1.

4. the manufacturing condition generation unit generates manufacturing conditions for the candidate section based on at least one of information on processing equipment, operation status, location, working conditions, material inventory, delivery method, and manufacturing performance stored for each of the manufacturing sections; The ordering support device according to claim 3.

5. a recommendation determination unit that acquires information about an item that the user places importance on, and determines a recommended section to be recommended to the user from among the candidate sections based on the information about the item that the user places importance on, The output unit outputs the manufacturing conditions of the recommended section. The ordering support device according to claim 3.

6. The information regarding the items that the user places importance on is obtained based on a user definition stored for each user. The ordering support device according to claim 5.

7. The information regarding the items that the user considers important is obtained based on information included in the request information input by the user. The ordering support device according to claim 5.

8. The environmental indicator is obtained based on at least one of the following when manufacturing the product: carbon dioxide emissions, impact on land and soil, consumption of fossil fuels, consumption of minerals and metals, consumption of water, impact on freshwater ecology, emission of nutrients to freshwater systems, impact on acidification, emission of nutrients to marine systems, emission of nutrients to terrestrial ecology, emission of photochemical ozone, impact on the respiratory system, emission of radioactive materials, emission of carcinogenic materials, emission of non-carcinogenic toxic materials, and emission of toxic substances, and impact on ozone layer destruction. The ordering support device according to claim 1.

9. An ordering support method executed by an ordering support device that supports ordering of a product that is any one of clothing, footwear, and accessories, comprising: a requirement information acquisition step of acquiring requirement information of a user regarding the product and the manufacturing of the product; a candidate extraction step of extracting candidate sections capable of manufacturing the product from among predetermined manufacturing sections based on the requirement information; a production condition generation step of generating production conditions for the candidate section, the production conditions including an environmental indicator relating to an impact of the candidate section on the environment; An output step of outputting the manufacturing conditions. How to assist with ordering.

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