Ordering support device and ordering support method
By ordering support devices and methods, users can consider environmental impact when ordering products. The generated manufacturing conditions include environmental indicators, which solves the defects of the existing technology that did not consider environmental problems and realizes environmental protection choices during ordering.
Patent Information
- Application Number
- CN202410747164.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2023-06-28
- Filing Date
- 2024-06-11
- Publication Date
- 2024-12-31
AI Technical Summary
Existing information processing devices do not consider environmental issues when manufacturing products, such as carbon dioxide emissions and global warming, resulting in increased corporate and user attention.
Provides an ordering support device and method, by obtaining user request information, extracting manufacturing candidate parts that meet the requirements, and generating manufacturing conditions including environmental indicators, so that users can consider environmental impacts when ordering products.
Users can consider the impact on the environment when ordering products, and choose a more environmentally friendly production plant through the generated manufacturing conditions, including environmental indicators, to reduce the environmental footprint of the product.
Smart Images
Figure CN119228471A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to an order support device and an order support method. Background Art
[0002] Conventionally, there is known a system that receives design information and delivery conditions required by a user and manufactures a product in accordance with the design information and delivery conditions.
[0003] For example, in the information processing device described in Patent Document 1, the design information and delivery conditions required by the user are received, and the design information is matched with the processing equipment commissioned to process based on the design information. Then, the information processing device sends processing instructions to the factory including the matched processing equipment, and controls the processing of the product and the sending of the product to the delivery destination. In this way, the appropriate communication between the client and the producer is achieved.
[0004] [Prior art literature]
[0005] [Patent Document]
[0006] [Patent Document 1] Japanese Patent Application Publication No. 2016-206877 Summary of the invention
[0007] [Problems to be solved by the invention]
[0008] However, in the information processing device of Patent Document 1, although the factory is determined in consideration of the shape, delivery date, and price of the product required by the user, etc., no consideration is given to solving environmental issues that have been recognized by many companies and individuals in recent years.
[0009] Solving environmental problems such as carbon dioxide emissions and global warming is an important issue for companies that manufacture products, and it is also of great concern to users who purchase products.
[0010] Therefore, an object of the present disclosure is to provide an ordering support device and an ordering support method that can place an order for a product while taking into account the impact on the environment when the product is manufactured.
[0011] [Technical means to solve the problem]
[0012] One embodiment of the present disclosure provides an order support device for supporting the ordering of any one of products such as clothing, footwear, and accessories. The order support device includes a requirement information acquisition unit, a candidate extraction unit, a manufacturing condition generation unit, and an output unit. The requirement information acquisition unit acquires user requirement information related to the product and the manufacture of the product. The candidate extraction unit extracts candidate parts that can manufacture the product from a specified manufacturing part based on the requirement information acquired by the requirement information acquisition unit. The manufacturing condition generation unit generates manufacturing conditions for the candidate parts including environmental indicators related to the impact of the candidate parts extracted by the candidate extraction unit on the environment. The output unit outputs the manufacturing conditions generated by the manufacturing condition generation unit.
[0013] According to the embodiment, the manufacturing condition generation unit generates manufacturing conditions for the candidate parts of the product based on the user's request information, and the output unit outputs the manufacturing conditions. 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 product while considering the impact on the environment when manufacturing the product.
[0014] One embodiment of the present disclosure provides an order support method performed by an order support device for supporting the ordering of any one of clothing, footwear and accessories. The order 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, the user's requirement information related to the product and the manufacture of the product is acquired. In the candidate extraction step, based on the requirement information acquired in the requirement information acquisition step, a candidate part capable of manufacturing the product is extracted from a specified manufacturing part. In the manufacturing condition generation step, manufacturing conditions of the candidate part including environmental indicators related to the impact of the candidate part extracted in the candidate extraction step on the environment are generated. In the output step, the manufacturing conditions generated in the manufacturing condition generation step are output.
[0015] According to the embodiment, in the manufacturing condition generation step, manufacturing conditions for the candidate parts of the 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 environmental indicators, the user can confirm the manufacturing conditions including the environmental indicators. 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
[0016] Figure 1 1 is a system schematic diagram showing a product ordering system 10 according to the first embodiment of the present disclosure.
[0017] Figure 21 is a functional block diagram showing each function in the order support device 100 according to the first embodiment of the present disclosure.
[0018] Figure 3 This is a diagram showing an example of user request information input using the user terminal 20 when the user is a business such as a wholesaler or a retailer.
[0019] Figure 4 This is a diagram showing an example of a factory DB (DB: database).
[0020] Figure 5 This is a diagram showing an example of user request information and the manufacturing conditions of each factory extracted based on the request information.
[0021] Figure 6 1 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.
[0022] Figure 7 1 is a functional block diagram showing each function in the order support device 200 according to the second embodiment of the present disclosure.
[0023] Figure 8 This is a diagram showing how actual scores (evaluation values) of manufacturing conditions are converted into normalized values based on desired values and allowable (upper limit) values using normal distribution.
[0024] Fig. 9 This is a diagram showing an example of user request information input using the user terminal 20 when the user is an individual.
[0025] [Explanation of Symbols]
[0026] 10: Product Ordering System
[0027] 20: User terminal
[0028] 30A~30C: Factory
[0029] 100, 200: Order support equipment
[0030] 110: Request for information acquisition department
[0031] 120: Candidate extraction unit
[0032] 130: Manufacturing condition generation unit
[0033] 140: Output
[0034] 150: Order Reception Department
[0035] 160: Storage
[0036] 210: Recommendation Judgment Department
[0037] M100: How to order support
[0038] S110~S160: Steps of order support method M100 DETAILED DESCRIPTION
[0039] Hereinafter, the preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In addition, the embodiments described below are only examples of embodiments for implementing the present invention, and are not intended to limit the present invention. Moreover, in order to facilitate the understanding of the description, the same structural elements in the drawings are marked with the same symbols as much as possible, and repeated descriptions are omitted.
[0040] <First embodiment>
[0041] [Product Ordering System Structure]
[0042] Figure 1 1 is a system overview diagram showing a product ordering system 10 according to a first embodiment of the present disclosure. Figure 1 As shown, the product ordering system 10 includes a user terminal 20 and an ordering support device 100. In addition, in this embodiment, as the product ordered by the user, footwear such as shoes is cited as an example for explanation, but it is not limited to this, for example, it can be clothing (clothes, socks, hats, etc.), and other accessories worn directly or indirectly on the body, etc., and can also include parts of these products (such as soles of shoes, etc.).
[0043] The user terminal 20 is a terminal for the user to input information or confirm the order of the product, and includes, for example, a personal computer, a tablet, and a smartphone.
[0044] The order 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 order support device 100 obtains request information from the user terminal 20, generates manufacturing conditions based on the request information, and sends the manufacturing conditions to the user terminal 20. Then, when the order support device 100 receives the order information from the user terminal 20, it orders the manufacture of the product from any of the factories 30A to 30C, for example. In addition, the order support device 100 may include a database that stores data required for these processes, and may also be able to access an external database. The order support device 100 is described in detail below.
[0045] After placing an order for a product from the product ordering system 10 , the factories 30A to 30C manufacture the product based on the order for the product.
[0046] The products manufactured by the factories 30A to 30C can be delivered to a delivery location designated by the user, for example. The delivery location can be registered in advance by the user, or can be designated by the user using the user terminal 20 each time the user places an order for a product.
[0047] As described above, a user can order a desired product using the user terminal 20 in the product ordering system 10 to purchase the product.
[0048] [Structure of order support device]
[0049] Figure 2 1 is a functional block diagram showing the functions of the order support device 100 according to the first embodiment of the present disclosure. Figure 2 As shown, order support device 100 includes a requirement information acquisition unit 110 , a candidate extraction unit 120 , a manufacturing condition generation unit 130 , an output unit 140 , an order reception unit 150 , and a storage unit 160 .
[0050] The request information acquisition unit 110 acquires the user's request information related to the product and the manufacture of the product. For example, the user uses the user terminal 20 to input the request information related to the desired shoes and the manufacture of the shoes, and sends it to the order support device 100 via the Internet. Then, the request information acquisition unit 110 acquires the request information.
[0051] Here, the required information includes, for example, product information of shoes, including design drawings, 3D models, product numbers, etc. Moreover, the required information includes, for example, manufacturing information of shoes, including materials, processing methods, delivery period, precision, quantity, price, etc. of shoes.
[0052] Figure 3 FIG. 2 is a diagram showing an example of user request information inputted using the user terminal 20 when the user is a wholesaler, retailer or other business operator. Figure 3 As shown, the user can use the user terminal 20 to input a 3D model or a product number, thereby inputting product information of the shoe. In addition, the user can also use the user terminal 20 to input thermoplastic polyurethane resin (TPU) (material), 3D printing (processing method), 1 month after ordering (delivery period), error of less than 1mm (precision), 10 pairs (number) and 10,000 yen (price) for the shoe, thereby inputting manufacturing information of the shoe. In addition, 3D printing is a processing method called additive manufacturing or three-dimensional lamination method, etc., which uses a 3D printer to process products.
[0053] The candidate extraction unit 120 extracts a candidate part that can manufacture a product from the specified manufacturing part based on the requirement information acquired by the requirement information acquisition unit 110. For example, when the user's requirement information includes the product information of the shoe (predetermined product number) and the manufacturing information of the shoe (TPU and 3D printing, etc.), the candidate extraction unit 120 extracts the manufacturing part that can manufacture the shoe. That is, the candidate extraction unit 120 extracts at least a manufacturing part that includes a 3D printing processing device and can manufacture the shoe of the specified product number using TPU as a material.
[0054] The manufacturing parts extracted by the candidate extraction unit 120 may extract only the manufacturing parts that fully satisfy the content of the user's request information, or may extract the manufacturing parts that can at least manufacture the shoes specified by the user even if they do not fully satisfy the user's request information.
[0055] Here, typically, the manufacturing part is a factory that manufactures shoes, and information related to these factories can be pre-stored in the storage unit 160 in the form of a factory database (DB), for example.
[0056] Figure 4 FIG. 1 is a diagram showing an example of a factory DB. Figure 4 As shown, for each factory, the factory DB stores "non-fossil energy use environment", "processing equipment", "operating status", "location", "working conditions", "material inventory", "distribution method" and "manufacturing performance".
[0057] Regarding the energy used by the factory, the "non-fossil energy use environment" may include, for example, information indicating whether the environment is an environment using non-fossil energy such as sunlight, wind power or geothermal energy. In the case of an environment using non-fossil energy, it may include information indicating how much is in stock. Non-fossil energy is energy that does not come from fossil resources. Non-fossil energy includes renewable energy and energy generated by nuclear power. Renewable energy includes (1) sunlight, (2) wind power, (3) hydropower, (4) geothermal energy, (5) solar heat, (6) heat in the atmosphere and other heat existing in nature, and (7) biomass (organic matter from plants and animals).
[0058] “Processing equipment” is information related to the types and manufacturing capabilities of equipment installed in the factory, and may also include information such as asset amounts and rental fees.
[0059] The “operation status” is information related to the operation period of the factory, and may also include information related to the busy period, the idle period, and the holiday period.
[0060] The "location" is information related to the layout of a factory, etc., and typically is the location of the factory.
[0061] “Labor conditions” refers to information related to the wages (unit price) and working hours of factory workers, and may include, for example, the average unit price of workers and the labor cost of manufacturing a pair of shoes.
[0062] “Material inventory” is information related to the inventory of shoe materials. For example, “Material inventory” can be the inventory amount of materials, or it can be information indicating how many pairs of shoes can be manufactured. If there is no inventory, it can include information indicating the next arrival date and arrival amount.
[0063] The "delivery method" is information related to the method of delivering the shoes manufactured in the factory from the factory to the recipients such as users, orderers or buyers. For example, the "delivery method" may include trucks, ships, airplanes, and combinations thereof.
[0064] “Manufacturing performance” is information related to the performance of manufacturing shoes in a factory. For example, “Manufacturing performance” may include the total number of shoes manufactured, defective (return) rate, number of claims, evaluation scores, and reviews.
[0065] As described above, the candidate extraction unit 120 refers to the factory DB based on the product information of the shoes (specified product number) and the manufacturing information of the shoes (TPU and 3D printing, etc.) included in the user's request information, and extracts the factory (candidate part) that can manufacture the shoes from the pre-registered factories.
[0066] In addition, here, regarding the factory A, the factory B, the factory C, etc., the information related to the items is stored in the factory DB. For example, in the case where a plurality of equipment (manufacturing lines) are included in the same factory, and in the case where different processing equipment (manufacturing methods) are used to operate or manufacture different products according to the operation period, each can be treated as a manufacturing part. That is, the information related to the items can be stored for each manufacturing part in the factory DB.
[0067] Furthermore, the factory DB may be updated every hour or every day, preferably 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.
[0068] return Figure 2 The manufacturing condition generating unit 130 generates the manufacturing conditions of the candidate parts extracted by the candidate extracting unit 120. The manufacturing conditions include at least the environmental index of the candidate parts, and may also include information related to the price of the shoes, information related to the delivery period of the shoes, and information related to the accuracy of the shoes.
[0069] The environmental index is information related to the impact of the candidate part on the environment when the product is manufactured at the candidate part, and can be expressed, for example, in the form of a score, a grade, or a level. For example, the impact on the environment can be expressed in grades such as "S", "A", and "B". This makes it possible to confirm the degree of impact of the candidate part on the environment and the degree to which the environment is considered.
[0070] Figure 5 FIG. 1 is a diagram showing an example of user request information and manufacturing conditions of each factory extracted based on the request information. Figure 5 As shown, here, Factory A, Factory B, and Factory C are extracted as factories that can at least manufacture the shoes specified by the user, and the manufacturing conditions in each factory are generated. The manufacturing conditions include "environmental index", "delivery time", "precision", "price", etc.
[0071] The "environmental index" can be calculated based on, for example, the carbon dioxide emissions, solvent usage, the degree of impact on the ozone layer depletion, power consumption, and water usage of the factory when manufacturing shoes. Here, the "environmental index" is expressed as "80 points", "20 points", and "70 points" in Factory A, Factory B, and Factory C, respectively, and is calculated based on the carbon dioxide emissions, solvent usage, the degree of impact on the ozone layer depletion, power consumption, and water usage, etc., using a pre-set calculation formula.
[0072] The "environmental index" is affected by, for example, the "material" and "processing method" included in the manufacturing information of the user's request information. Specifically, it is assumed that the environmental index represented by the carbon dioxide emission amount when manufacturing the material is different, or the amount of solvent used is changed depending on the "material". In addition, the processing equipment is determined or its power consumption, water usage, and operation time are changed according to the "processing method".
[0073] Moreover, regarding carbon dioxide emissions, for example, Figure 4 The "Non-fossil energy usage environment" of the factory DB shown can be used to count the carbon dioxide emissions relative to the electricity used when using non-fossil energy, or the carbon dioxide emissions during transportation from the factory to the recipient can be considered based on the "location" and "delivery method" of the factory DB.
[0074] The "delivery period" is affected by, for example, "processing method", "delivery period", "precision", "number", and "price" included in the manufacturing information of the user's requirement information. Specifically, the delivery period may be longer in the case of a processing method that consumes a lot of manufacturing time, a large number of products, and a low price. Here, the "delivery period" is expressed as "1 month", "1 week", and "2 weeks" in Factory A, Factory B, and Factory C, respectively. For example, if the "delivery period" included in the manufacturing information of the user's requirement information is met, it can be expressed as "yes", and if it is not met, it can be expressed as "no".
[0075] Moreover, for example, based on Figure 4 The "operation status", "location" and "material inventory" of the factory DB shown in the figure can delay the "delivery date" accordingly if it is a busy period or holiday period, or if the material is out of stock. If the factory is overseas, the "delivery date" can be set in consideration of the transportation period.
[0076] "Precision" is affected by, for example, "processing method" and "precision" included in the manufacturing information of the user's requirement information. Specifically, in the case of a high-precision processing method, the shape error of the manufactured shoes is small. Here, "precision" is expressed as scores of "90 points", "50 points" and "70 points" in Factory A, Factory B and Factory C, respectively, and can be calculated by a pre-set calculation formula. Moreover, for example, in the case of satisfying the "precision" included in the manufacturing information of the user's requirement information, it can be expressed as "OK", and in the case of not satisfying it, it can be expressed as "Not OK".
[0077] Furthermore, “accuracy” can be based on, for example, Figure 4 The "processing equipment" and "manufacturing performance" of the factory DB shown are calculated. For example, if the processing equipment is the latest model or high-performance, the "accuracy" can be calculated as the accuracy corresponding to it, or it can be calculated as the accuracy improved accordingly by further executing multiple processes. In addition, when the accuracy is improved by executing multiple processes, it can be considered that the delivery time is delayed or the price becomes higher.
[0078] The "price" is affected by, for example, the "processing method", "delivery period", "precision", "number" and "price" included in the manufacturing information of the user's requirement information. Specifically, it is considered that if the processing method with less material loss is used, the price will be cheap, and if the delivery period is shortened, in order to make the factory run at full capacity, the price will become higher. In the case of a large number, the price per pair is cheap. Here, the "price" is expressed as "15,000 yen", "5,000 yen" and "10,000 yen" in Factory A, Factory B and Factory C respectively. For example, if the "price" included in the manufacturing information of the user's requirement information is met, it can be expressed as "yes", and if it is not met, it can be expressed as "no".
[0079] Moreover, for example, based on Figure 4 The "processing equipment", "operating status" and "working conditions" of the factory DB shown can be considered that the "price" becomes higher when the asset value or rental fee of the processing equipment is high, it is a busy period, and the wages of workers are high.
[0080] As described above, the manufacturing condition generating unit 130 uses each item of the user's request information that affects each item of the manufacturing condition, and Figure 4 The items of the factory DB shown above are calculated, but the present invention is not limited to the specific example. The items of the manufacturing conditions may be calculated by appropriately using or combining items that are considered to affect the items.
[0081] Furthermore, here, "environmental indicators", "delivery period", "precision" and "price" are calculated as manufacturing conditions, but they are not limited to these and can be a part of these, and other items related to the manufacturing conditions of the shoes can be further added.
[0082] return Figure 2 , the output unit 140 outputs the manufacturing conditions generated by the manufacturing condition generating unit 130. For example, the manufacturing conditions may be sent to the user terminal 20 via the Internet and displayed on the screen of the user terminal 20.
[0083] The order receiving unit 150 receives the user's order based on the manufacturing conditions. For example, when the user confirms the manufacturing conditions displayed on the screen of the user terminal 20 and wishes to place an order with one of the factories A, B, and C (for example, the manufacturing conditions of the factory A), the user terminal 20 inputs (selects) the intention to place an order with the factory A, and transmits it to the order support device 100 via the Internet. Then, the order receiving unit 150 of the order support device 100 can accept it and place an order with the factory A.
[0084] As described above, the storage unit 160 stores various items such as "non-fossil energy use environment", "processing equipment", "operating status", "location", "working conditions", "material inventory", "delivery method" and "manufacturing performance" for each manufacturing part (factory) as such. Figure 4 The factory DB is shown.
[0085] The contents stored in the storage unit 160 are not limited to these, and in addition to these, data required for the processing of the order support device 100 may be stored, and data may be temporarily stored during the processing.
[0086] [Order support method]
[0087] Next, an order support method for acquiring request information input by a user using user terminal 20, generating manufacturing conditions and transmitting them to user terminal 20, and further accepting an order from the user will be specifically described in detail.
[0088] Figure 6 FIG. 1 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 6 As shown, 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.
[0089] In step S110, the request information acquisition unit 110 acquires the user's request information related to the product and the manufacture of the product (request information acquisition step). As a specific example, the request information acquisition unit 110 acquires the user's request information from the user terminal 20. The user's request information is as follows: Figure 3 The product information of the shoes shown and the manufacturing information of the shoes.
[0090] In step S120, the candidate extraction unit 120 extracts a candidate part that can manufacture the product from the pre-stored manufacturing parts based on the requirement information acquired in step S110 (candidate extraction step). As a specific example, the candidate extraction unit 120 refers to the factory DB and extracts a factory that can manufacture the shoes required by the user from the pre-registered factories. The candidate extraction unit 120 may also extract a factory that can at least manufacture the shoes required by the user even if it does not meet all the user's requirement information.
[0091] In step S130, the manufacturing condition generating unit 130 generates manufacturing conditions for the candidate parts extracted in step S120 (manufacturing condition generating step). As a specific example, the manufacturing condition generating unit 130 generates the following: Figure 5 The manufacturing conditions of Factory A, Factory B, and Factory C, which are factories capable of manufacturing at least the shoes required by the user, are shown. The manufacturing conditions include environmental indicators, information related to the price of the shoes, information related to the delivery date of the shoes, and information related to the accuracy of the shoes. Each item is affected by each item included in the user's request information. Figure 4 It is calculated based on each item of the factory DB shown.
[0092] 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 outputs the manufacturing conditions generated in step S130. Figure 5 The manufacturing conditions of the factories A, B, and C are sent to the user terminal 20 and displayed on the screen of the user terminal 20 .
[0093] In step S150, when the order receiving unit 150 receives the user's order 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, in the user terminal 20, the user confirms the order displayed on the screen. Figure 5 If the manufacturer wishes to place an order at a particular factory (here, Factory A) based on the manufacturing conditions of Factory A, Factory B, and Factory C, the manufacturer inputs the order and sends the order to the order support device 100 via the Internet. Then, the order receiving unit 150 receives the order.
[0094] On the other hand, in the user terminal 20, the user confirms the Figure 5 The manufacturing conditions of the factories A, B, and C are shown. If no order is desired from any factory, the process returns to step S110 ("No" in step S150). Then, the request information acquisition unit 110 acquires the request information related to the desired shoes and the manufacturing of the shoes input again by the user (the same process is repeated thereafter).
[0095] In step S160, the order support device 100 requests the production of the product based on the order received in step S150 (production request step). Figure 5 Under the manufacturing conditions of the factory A shown in FIG. 1 , the factory A is commissioned to manufacture shoes. Then, the factory A manufactures the shoes based on the commission from the order support device 100 and delivers the shoes to the user.
[0096] [Effects of the First Embodiment]
[0097] According to the order support device 100 and order support method M100 of the first embodiment of the present disclosure, the manufacturing condition generation unit 130 generates the manufacturing conditions of the A factory, the B factory, and the C factory that can manufacture the shoes based on the user's request information, and the output unit 140 outputs the manufacturing conditions in a manner displayed on the screen of the user terminal 20. The manufacturing conditions include environmental indicators, so 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.
[0098] In addition, in this embodiment, if Figure 5As shown in the Environmental Footprint (EF) 3.0, the environmental index is calculated based on carbon dioxide emissions, solvent usage, impact on ozone layer depletion, power consumption, and water usage, but is not limited to these. For example, as an index for evaluating the load on the environment caused by products or corporate activities, it can also be obtained based on at least one of carbon dioxide emissions, impact on land and soil, fossil fuel usage, mineral and metal usage, water usage, impact on freshwater ecology, nutrient discharge to freshwater system, impact on acidification, nutrient discharge to marine system, nutrient discharge to terrestrial ecology, photochemical ozone emissions, impact on respiratory system, radioactive substance emissions, carcinogenic substances, non-carcinogenic poisons and highly toxic substances, and impact on ozone layer depletion.
[0099] <Second embodiment>
[0100] Next, in a second embodiment of the present disclosure, an ordering support device including a recommendation determination unit that recommends a recommended part to a user in addition to the ordering support device 100 described in the first embodiment will be described.
[0101] Figure 7 2 is a functional block diagram showing the functions of the order support device 200 according to the second embodiment of the present disclosure. Figure 7 In, with Figure 2 The same structures as the order support device 100 of the first embodiment of the present disclosure are denoted by the same reference numerals, and detailed description thereof will be omitted. In the present embodiment, structures different from the first embodiment of the present disclosure will be mainly described.
[0102] like Figure 7 As shown, order support device 200 includes requirement information acquisition unit 110 , candidate extraction unit 120 , manufacturing condition generation unit 130 , output unit 140 , order reception unit 150 , storage unit 160 , and recommendation determination unit 210 .
[0103] The recommendation determination unit 210 obtains information related to the items that the user values, and determines the recommended portion recommended to the user from the candidate portions extracted by the candidate extraction unit 120 based on the information related to the items that the user values. For example, as described in the first embodiment of the present disclosure, as factories that can at least manufacture the shoes specified by the user, Factory A, Factory B, and Factory C are extracted, and manufacturing conditions in each factory are generated, wherein the recommendation determination unit 210 determines the factory recommended to the user based on the information related to the items that the user values.
[0104] Here, the information on the items that the user values may include, for example, which item the user values among environmental indicators, delivery date, accuracy, and price, and a weighting according to the priority order and the degree of importance (priority).
[0105] The information on the items that the user values may be stored in the storage unit 160 for each user as a user definition, or may be input as user request information each time by the user using the user terminal 20. The recommendation determination unit 210 acquires the information on the items that the user values that is stored as a user definition or input each time in the above manner.
[0106] If the user attaches importance to environmental indicators, the recommendation determination unit 210 may, for example, Figure 5 Among the factories A, B, and C shown, the factory A having the best environmental index included in the manufacturing conditions is determined to be the factory recommended to the user.
[0107] Similarly, when the user places importance on delivery time, accuracy, or price, the recommendation determination unit 210 may determine the factory having the best score (evaluation) for each item included in the manufacturing conditions as the factory to be recommended to the user.
[0108] Furthermore, in the information on the items that the user values, when priorities or weights are given to the items included in the manufacturing conditions, the recommendation determination unit 210 can determine the factory recommended to the user based on the priorities or weights.
[0109] For example, Figure 5 The weights α, β, γ, and δ are respectively specified for each of the manufacturing conditions shown, "Environmental index", "Delivery date", "Precision", and "Price", and the recommended score R is calculated using the following formula. α, β, γ, and δ can be specified by the user as arbitrary coefficients, or can be set to pre-set coefficients according to the specified priority order.
[0110] Recommended score R = α×(environmental index)+β×(delivery period)+γ×(accuracy)+δ×(price)
[0111] Furthermore, when the user inputs the required information about the shoes and the manufacturing of the shoes using the user terminal 20, the user may input the allowable value in addition to the desired value of the user. Specifically, when the user inputs the desired price of the shoes as 10,000 yen and the allowable (upper limit) price as 13,000 yen, the score of the price of the manufacturing condition is standardized based on the desired price and the allowable price, for example, using a normal distribution and a regression equation.
[0112] Figure 8This is a diagram showing how the actual scores (evaluation values) of manufacturing conditions are converted into standardized values based on the desired values and the allowable (upper limit) values using normal distribution. Figure 8 As shown, when the desired value is set to "100" and the allowable value (upper limit) is set to "0", and the actual score (evaluation value) is better than the desired value, it is converted to a standardized value "100" equal to the desired value. When the actual score (evaluation value) is worse than the desired value, it is converted to a standardized value using a normal distribution (with the allowable value (upper limit) set to "0"). Specifically, when the user inputs the desired price of the shoes as 10,000 yen and the allowable (upper limit) price as 13,000 yen, when the actual score (evaluation value) of the manufacturing conditions is less than 10,000 yen, it is set to a standardized value "100". When the actual score (evaluation value) exceeds 10,000 yen, the allowable (upper limit) price, i.e., 13,000 yen, is set to "0" and converted to a standardized value using a normal distribution.
[0113] Here, examples are given regarding the prices of manufacturing conditions. The same applies to other factors, such as "environmental indicators," "delivery period," and "accuracy." Users can enter allowable values in addition to desired values, and convert the actual scores (evaluation values) of the manufacturing conditions into standardized values.
[0114] Thus, for each item of manufacturing conditions, after converting the actual score (evaluation value) into a standardized value, the recommendation determination unit 210 can determine the factory recommended to the user, thereby being able to recommend a factory that reflects the user's tolerance and is more suitable for the user's preference.
[0115] The output unit 140 outputs the manufacturing conditions of the recommended part. For example, in the case where the recommended factory is factory A, the output unit 140 may output the following: Figure 5 The manufacturing conditions of Factory A, Factory B, and Factory C and the fact that Factory A is the recommended factory are displayed on the screen of the user terminal 20. In addition, the screen of the user terminal 20 may display only Factory A (the manufacturing conditions of Factory A), which is the recommended factory, or may display Factory A, Factory B, and Factory C in the order of recommendation.
[0116] [Effects of the Second Embodiment]
[0117] According to the second embodiment of the ordering support device 200 of the present disclosure, in addition to the ordering support device 100 of the first embodiment of the present disclosure, it also includes a recommendation determination unit 210, and the recommendation determination unit 210 determines the factory recommended to the user based on information related to the items that the user attaches importance to. Therefore, for the user, it is easy to grasp the factory that suits his or her preferences and order shoes.
[0118] <Modification>
[0119] In the first and second embodiments of the present disclosure, the case where the user using the product ordering system 10 is a wholesaler or a retailer is described as an example, but the user is not limited to such a business and may be an individual.
[0120] Fig. 9 FIG. 2 is a diagram showing an example of user request information inputted using the user terminal 20 when the user is an individual. Fig. 9 As shown, the user can input the product information of the shoe by inputting the 3D model or the product number using the user terminal 20. Furthermore, the user can input the manufacturing information of the shoe by inputting 1 month after ordering (delivery period), 1 pair (number), and 10,000 yen (price) using the user terminal 20. Figure 3 In the case where the user shown is a wholesaler or retailer, TPU (material), 3D printing (processing method), and error of less than 1 mm (accuracy) are not input by the user but are automatically set.
[0121] When the user is a business operator, required information such as materials, processing methods, and accuracy can be input based on professional knowledge, but when the user is an individual, this information can be automatically set based on product information of shoes, for example.
[0122] [Effects of Modification Example]
[0123] Even if there are items in the manufacturing information of the shoes that are difficult for the user to input due to his / her lack of professional knowledge, the order support device can be used not only when the user is a wholesaler, retailer or other business operator, but also when the user is an individual, by automatically setting the items based on the product information of the shoes.
[0124] [Summary of the effects of the present disclosure]
[0125] According to the present disclosure, when ordering a product such as clothing, footwear, or accessories, manufacturing conditions for candidate parts of the product that can be manufactured based on the user's request information are generated and confirmed by the user. Since the manufacturing conditions include environmental indicators, the user can order the product while considering the impact on the environment when manufacturing the product.
[0126] [Implementation Method]
[0127] (1) An order support device according to one embodiment of the present disclosure supports the ordering of any one of products such as clothing, footwear and accessories, and the order support device includes: a requirement information acquisition unit, which acquires user requirement information related to the product and the manufacture of the product; a candidate extraction unit, which extracts candidate parts that can manufacture the product from specified manufacturing parts based on the requirement information; a manufacturing condition generation unit, which generates manufacturing conditions for the candidate parts including environmental indicators related to the impact of the candidate parts on the environment; and an output unit, which outputs the manufacturing conditions.
[0128] According to the order support device of (1) above, the user can confirm the manufacturing conditions including the environmental index, and thus can order the product while considering the impact on the environment when manufacturing the product.
[0129] (2) In the order support device described in (1), the environmental index can be obtained based on at least the non-fossil energy usage environment stored for each of the manufacturing parts.
[0130] According to the order support device of (2) above, the environmental index can be obtained based on the non-fossil energy use environment, so the impact on the environment when manufacturing the product can be appropriately reflected in the environmental index.
[0131] (3) In the order support device described in (1) or (2), the manufacturing conditions may include at least one of information related to price, information related to delivery date, and information related to accuracy in addition to the environmental index.
[0132] According to the order support device of (3), the user can order the product by considering information related to price, information related to delivery date, and information related to accuracy in addition to environmental indicators as manufacturing conditions.
[0133] (4) In the ordering support device described in any one of (1) to (3), the manufacturing condition generating unit can generate the manufacturing conditions of the candidate parts based on at least one of the information related to processing equipment, operating conditions, location, working conditions, material inventory, distribution methods and manufacturing performance stored for each of the manufacturing parts.
[0134] According to the order support device of (4) above, the manufacturing condition generation unit can generate manufacturing conditions for the candidate parts based on various information.
[0135] (5) The ordering support device described in any one of (1) to (4) may further include: a recommendation determination unit that obtains information related to the items that the user values, and determines a recommended part to be recommended to the user from among the candidate parts based on the information related to the items that the user values, and the output unit may output the manufacturing conditions of the recommended part.
[0136] According to the order support device of (5) above, the recommendation determination unit determines the recommended part based on the information on the item that the user attaches importance to, so the user can easily confirm the production part according to the item that the user attaches importance to.
[0137] (6) In the order support device described in (5) above, information on items that the user values can be obtained based on a user definition stored for each of the users.
[0138] According to the order support device of (6) above, information related to items that are important to the user can be appropriately used for each user.
[0139] (7) In the order support device described in (5) above, information related to the items that the user values can be obtained based on information included in the request information input by the user.
[0140] According to the order support device of (7) above, the user can input information related to items that the user values every time he / she orders a product.
[0141] (8) In the ordering support device described in any one of (1) to (7), the environmental indicator can be obtained based on at least one of the carbon dioxide emissions during the manufacture of the product, the impact on land and soil, the use of fossil fuels, the use of minerals and metals, the use of water, the impact on freshwater ecology, the discharge of nutrients into the freshwater system, the impact on acidification, the discharge of nutrients into the marine system, the discharge of nutrients into the terrestrial ecology, the emission of photochemical ozone, the impact on the respiratory system, the emission of radioactive substances, the emission of carcinogenic substances, the emission of non-carcinogenic poisons and highly toxic substances, and the impact on ozone layer depletion.
[0142] According to the order support device of (8) above, environmental indicators can be obtained based on various items.
[0143] (9) Another embodiment of the order support method disclosed herein is an order support method performed by an order support device for supporting the ordering of any one of products such as clothing, footwear and accessories, and the order support method includes: a requirement information acquisition step of acquiring user requirement information related to the product and the manufacture of the product; a candidate extraction step of extracting candidate parts that can manufacture the product from specified manufacturing parts based on the requirement information; a manufacturing condition generation step of generating manufacturing conditions for the candidate parts including environmental indicators related to the impact of the candidate parts on the environment; and an output step of outputting the manufacturing conditions.
[0144] According to the order support method of (9) above, the user can confirm the manufacturing conditions including the environmental index, and thus can order the product while considering the impact on the environment when manufacturing the product.
[0145] The embodiments described above are intended to make the present disclosure easy to understand and are not intended to limit the present disclosure. The various elements and their configurations, materials, conditions, shapes, and sizes included in the embodiments are not limited to those illustrated and may be appropriately changed. Moreover, the structures shown in different embodiments may be partially replaced or combined with each other.
[0146] [Industrial Applicability]
[0147] The present disclosure is useful for systems that support ordering of products such as clothing, shoes, and accessories.
Claims
1. An order support device for supporting the ordering of any one of clothing, footwear and accessories, the order support device comprising: a demand information acquisition unit that acquires user demand information related to the product and the manufacture of the product; a candidate extracting unit that extracts a candidate part capable of manufacturing the product from a specified manufacturing part based on the requirement information; a manufacturing condition generating unit for generating manufacturing conditions of the candidate part including an environmental index related to the impact of the candidate part on the environment; and An output unit outputs the manufacturing conditions.
2. The order support device according to claim 1, wherein The environmental index is obtained based at least on the non-fossil energy usage environment stored for each of the manufacturing parts.
3. The order support device according to claim 1, wherein The manufacturing conditions include at least one of information related to price, information related to delivery date, and information related to accuracy in addition to the environmental index.
4. The order support device according to claim 3, wherein The manufacturing condition generating unit generates the manufacturing conditions of the candidate parts based on at least one of the information related to processing equipment, operating conditions, location, labor conditions, material inventory, delivery method and manufacturing performance stored for each of the manufacturing parts.
5. The order support device according to claim 3, further comprising: a recommendation determination unit that acquires information related to the items that the user values, and determines a recommended portion to be recommended to the user from among the candidate portions based on the information related to the items that the user values, The output unit outputs the manufacturing conditions of the recommended part.
6. The order support device according to claim 5, wherein The information on the items that the user attaches importance to is obtained based on the user definition stored for each of the users.
7. The order support device according to claim 5, wherein The information related to the items that the user values is obtained based on the information included in the request information input by the user.
8. The order support device according to claim 1, wherein The environmental indicators are obtained based on at least one of the carbon dioxide emissions during the manufacture of the product, the impact on land and soil, the use of fossil fuels, the use of minerals and metals, the use of water, the impact on freshwater ecology, the discharge of nutrients to the freshwater system, the impact on acidification, the discharge of nutrients to the marine system, the discharge of nutrients to the terrestrial ecology, the emission of photochemical ozone, the impact on the respiratory system, the emission of radioactive substances, the emission of carcinogenic substances, the emission of non-carcinogenic poisons and highly toxic substances, and the impact on ozone layer depletion.
9. An order support method, executed by an order support device for supporting the order of any one of clothing, footwear and accessories, the order support method comprising: a requirement information acquisition step of acquiring the user's requirement information related to the product and the manufacture of the product; A candidate extraction step of extracting a candidate part capable of manufacturing the product from a specified manufacturing part based on the requirement information; a manufacturing condition generating step of generating manufacturing conditions of the candidate part including environmental indicators related to the impact of the candidate part on the environment; and The step of outputting the manufacturing conditions.