201218109 六、發明說明： 【發明所屬之技術領域】 本發明U於-種適用於綠色產品之風險管理系 統尤才曰種可依據—對應於一綠色產品的產品風險資料 表所包含的複數筆產品風險資料，得出此綠色產品之風險 等-，及刀類結果’且可藉由調整其風險參數運算表或其風險 絲值運算表之内容的方式，即時地反應出因綠色產品市 # 環境變化而導致之風險等級分類差異的風險管理系統。 【先前技術】 近年來，由於環保意識高漲，世界各國無不投注心力 :與環境永續有_事項上，且因為電子產品被廢棄的數 置非常龐大，而這些電子產品（如手機）所具有的物質不是 重金屬，就是有毒物質，故各國對於廢棄電子產品的回收 非4重視，以避免對於環境造成無可挽回的污染。順應此 # 項潮流，歐盟實施了 一有毒物質禁用指令（即RoHS指 令）（已於2006年7月1曰正式實施），以規定所有販賣至 歐盟的電子產品均需符合此有毒物質禁用指令，以減低對 於廢棄電子產品對於環境的破壞。而那些違反此有毒物質 禁用指令的廠商，不但會被處以鉅額罰款，所販賣的電子 產品亦會被退貨，連到造成的商譽損失更是無法計數。 為了有效控制營運成本，目前各廠商在預備販售一綠 色產品至歐盟珂，僅能仰賴一顧問公司協助它們評估相關 的風險，以決疋疋否需要為了能將此綠色產品販售至歐盟 201218109 而更改其内部管理系統或製造程序，或者乾跪放棄將此綠 色產品販售至歐盟，而將此綠色產品改販售至其他地區。 然而，目前的顧問公司僅能仰賴其人員經驗，辅以部 分的電腦化系統，有限度地估計出將前述之綠色產品販售 至歐盟的風險n當評估過程中f要處理之變數的數 目增加到-定的程度時(如超過100)，目前的顧問公司便無 法以科干的方式運算出風險值，而僅能用經驗判斷那些變 數需要納人考量，某些變數則可忽略。如此，顧問公㈣ =出來之風險值的可信度便降低，反而讓委託評估的廠 商暴露於無法預期的風險中。 。因此:業界需要一種可依據一對應於一綠色產品的產 資料表所包含的複數筆產品風險資料得出此綠色 矣風險等級分類結果’且可藉由職其風險參數運算 =彦、=係數值運算表之内容的方式，即時地反應出因 管境變化而導致之風險等級分類差異的風險 【發明内容] 管理η明在提供—種適料綠色產品之風險 表所包含的;了 Γ於—綠色產品的產品風險資料 等級分類^ 險資料，得出此綠色產品之風險 本明之另_ ^ 風險管理么& 一的係在提供一種適用於綠色產品之 双g里不統，俾能與 日由凋2其風險參數運算表或其風險 201218109 係數值運算表之内定的 ,θ _ Λ ’方式’即時地反應出因綠色產品市 —變化而導致之風險等級分類差異。 理έ (I達成上述目的’本發明之適用於綠色產品之風險管 :本^配。對應於一綠色產品的產品風險資料表， 结此產品風險資料表包含複數筆產品風險資料，包括：一 、、且<丁、用於項取此等產品風險資料；一資料庫模組， 门、用於儲存_風險參數運算表、—風險絲值運算表及一 險等級^類表於其t 應用模組，係與此讀取模組及 ^料庫模合’以得出—風險等級分類結果·以及一 =杈組，係與此應用模組耗合，以將此風險等級分類結 ^出至外界。其t ’此應用模組係' 藉由執行—風險等級 序的方式得出此風險等級分類結果且此風險等級 +鼻程序係包括下列步驟：依據此風險參數運算表，從此 取換，且所⑼取之此等產品風險資料運算出複數個風險參 文所分別具有的數值；依據此驗係數值運算表從此等 風險參數所分別具有的數值運算& _風險錄值；以及依 據此風險等級分類表，從此等風險參數所分別具有的數值 及此風險係數值得出此綠色產品之此風險f級分類結果。 因此，由於本發明之適用於綠色產品之風險管理系統 Μ〜用模，’且執行風險等級運算程序」，且此風險等級運 ^程序包括下列步驟：依據一風險參數運算表，從本發明 之適用於綠色產品之風險管理系統之讀取模組所讀取之複 數筆產品風險資料運算出複數個風險參數所分別具有的數 值；依據-風險係數值運算表，從前述之複數個風險參數 201218109 刀別，、有的數值運算出一風險係數值·以及依據一風險 等=分類表，從前述之複數個風險參數所分別具有的數= 及則述之風險係數值得出一綠色產品之一風險等級分類結 果。而且，前述之「風險等級運算程序」令所使用到的 險參數運算表」、「風險储值運算表」及「風險等級分類 表」均儲存於本發明之適詩綠色產品之風險管理系統之 資料庫模組中，故本發明之適用於綠色產品之風險管理系 統可依據-對應於-綠色產品之產品風險資料表所包含的 複數筆產品風險資料，得出此綠色產品之風險等級分類結 果0 〜除此之外，由於儲存於本發明之適用於綠色產品之風 險官理系統之資料庫模組中的「風險參數運算表」及「風 險=數值運算表」均可因為於綠色產品市場環境變化而調 正匕們的内容’如改變某一風險參數之運算公式或調升某 風險參數於運算出一風險係數值之過程中所佔有的比 文本發月之適用於綠色產品之風險管理系統可藉由調 王其風險參數運算表或其風險純值運算表之内容的方 式p夺地反應出因綠色產品市場環境變化而導致之風險 等級分類差異。 【實施方式】 ^圖1所示，本發明一貫施例之適用於綠色產品之風 險管理糸統係包括一堉取棍έ日1 1 . ‘ 。貢取棋組11、一貢料庫模組12、一應 用組13及一輪 Ψ去苗々a 1 /1 ++ . 鞔出杈組14。其中，本發明一實施例之適 201218109 用於綠色產品的風險管理系統係配合一對應於一綠色產品 的產品風險資料表（圖中未示），且此產品風險資料表包含 複數筆產品風險資料。至於此產品風險資料表（圖中未示） 的型,¾與組成，則將配合圖式敘述於後。201218109 VI. Description of the invention: [Technical field to which the invention pertains] The present invention is applicable to a risk management system suitable for a green product, which can be based on a plurality of products included in a product risk data sheet corresponding to a green product. Risk data, the risk of this green product, etc. - and the knife result' can be immediately reflected in the green product market by adjusting the content of its risk parameter calculation table or its risk wire value calculation table. A risk management system that differentiates the risk classifications caused by changes. [Prior Art] In recent years, due to the high awareness of environmental protection, all countries in the world have been betting: the environment is perpetuated, and because the number of discarded electronic products is very large, these electronic products (such as mobile phones) have The substances are not heavy metals or toxic substances, so countries pay no attention to the recycling of waste electronic products to avoid irreparable pollution to the environment. In line with this trend, the European Union has implemented a Toxic Substances Directive (RoHS Directive) (which was officially implemented on July 1, 2006) to require all electronic products sold to the EU to comply with this toxic substance disabling directive. To reduce the environmental damage to waste electronic products. Those who violate this toxic substance ban will not only be fined, but also the electronic products they sell will be returned. The loss of goodwill will not be counted. In order to effectively control the operating costs, manufacturers are now ready to sell a green product to the EU, relying on a consultant to assist them in assessing the risks involved, in order to decide whether it is necessary to sell this green product to the EU 201218109 And change its internal management system or manufacturing process, or do not sell this green product to the EU, and sell this green product to other regions. However, the current consulting firm can only rely on its personnel experience, supplemented by part of the computerized system, to estimate the risk of selling the aforementioned green products to the EU in a limited way. n The number of variables to be processed during the evaluation process is increased. At a certain level (such as more than 100), current consultants cannot calculate the risk value in the way of the Cognac, but only the experience can be used to judge those variables that need to be considered, and some variables can be ignored. In this way, the credibility of the risk value of the consultant (4) = is reduced, and the commissioned evaluation of the manufacturer is exposed to unpredictable risks. . Therefore, the industry needs a kind of risk classification data that can be obtained based on a plurality of product risk data contained in a production data sheet corresponding to a green product, and can be calculated by its risk parameter calculation = Yan, = coefficient value The way in which the contents of the table are calculated, immediately reflects the risk of the classification of the risk level due to changes in the management environment [invention] The management η is included in the risk table for providing a suitable green product; The product risk data classification of the green product is classified as the risk data, and the risk of this green product is obtained. _ ^ Risk management? &1; The system is provided in a double g that is applicable to green products. From the risk parameter calculation table or its risk 201218109 coefficient value calculation table, the θ _ Λ 'method' instantly reflects the difference in risk classification due to the change of the green product market. (I achieve the above purpose 'The risk management of the present invention applicable to green products: this match. Correspond to a green product product risk data sheet, the product risk data sheet contains a plurality of product risk data, including: , and < D, for the item to take such product risk data; a database module, door, for storage _ risk parameter calculation table, - risk wire value calculation table and a risk level ^ class table in its t The application module is combined with the reading module and the material library to obtain a risk level classification result and a = group, which is combined with the application module to classify the risk level. Out to the outside world. The t 'this application module' derives the risk level classification result by executing the risk level sequence and the risk level + nose program includes the following steps: according to the risk parameter operation table, And (9) taking the risk data of the products to calculate the values of the plurality of risk references respectively; according to the value calculation table, the numerical operation & _ risk record value respectively from the risk parameters; in accordance with The risk level classification table, the value respectively obtained from the risk parameters and the risk coefficient are worth the risk level classification result of the green product. Therefore, the risk management system applicable to the green product of the present invention is used. And 'and the risk level calculation program', and the risk level operation program includes the following steps: reading the plural number from the reading module of the risk management system of the present invention applicable to the green product according to a risk parameter calculation table The pen product risk data calculates the value of each of the plurality of risk parameters; according to the risk coefficient value calculation table, from the plurality of risk parameters 201218109, the value of a risk coefficient is calculated according to a certain value, and the risk is calculated according to a risk The == classification table, the number of the above-mentioned multiple risk parameters = and the risk coefficient described above are worth one of the risk classification results of a green product. Moreover, the aforementioned "risk level calculation procedure" order is used The risk parameter calculation table, the "risk stored value calculation table" and the "risk level classification table" are stored in this The risk management system applicable to the green product of the present invention can be based on the plurality of product risk data contained in the product risk data sheet corresponding to the green product, The result of the risk classification of the green product is 0. In addition, due to the "risk parameter calculation table" and "risk=value" stored in the database module of the risk management system of the present invention applicable to the green product The "table" can be adjusted for the content of the green product market environment, such as changing the formula of a certain risk parameter or increasing the ratio of a risk parameter to the calculation of a risk coefficient value. The risk management system applicable to green products of the month of the month can be used to reflect the difference in the risk level classification caused by the change of the green product market environment by adjusting the content of the risk parameter calculation table or its risk pure value calculation table. . [Embodiment] As shown in Fig. 1, the risk management system applicable to green products according to the consistent embodiment of the present invention includes a picking stick day 1 1 . The tribute group 11, the tribute library module 12, an application group 13 and a round of nursery a 1 /1 ++ . The risk management system for green products according to an embodiment of the present invention is matched with a product risk data table (not shown) corresponding to a green product, and the product risk data table includes a plurality of product risk data. . As for the type of the product risk data sheet (not shown), the type and composition will be described later in conjunction with the schema.
此外，在本實施例中，前述之讀取模組1丨係用於讀 取前述之產品風險資料表所包含的複數筆產品風險資料， 資料庫模組12則用於儲存一風險參數運算表（圖中未示）、 一風險係數值運算表（圖中未示）及—風險等級分類表（圖 中未示）於其中。至於此風險參數運算表（圖中未示）、此風 險係數值運算表（圖中未示）及此風險等級分類表（圖中未 不)的型態與組成，同樣將配合圖式敘述於後。 另一方面，在本發明一實施例之適用於綠色產品的風 險官理系統t，應用模組13係與讀取模組u及資料 組^輕合’輸出模组14則與應用模組13麵合。而且在 本貫施例中，讀取描知丨丨 ^ 传八肺Λ 貧料庫模組12及輸出模組14 =刀别错由-網際網路（圖中未示）與應用模 :本發明r實施例之適用於綠色產品的風險管理Γ統運; I應用&組13係藉由執行—風險等級運算 出一風險等級分類处 万式忤 結果輸出至外界 輸出模組14則將此風險等級分類 系統係二=之適用於綠色產品之風險管理 入裝置m =、^_組11係為—般常用之輸 案存取介面料讀取器、影像擷取裝置及樓 貝枓庫柄'组12則為硬碟、光碟機或藉由網 201218109 際肩路連接之遠端資料庫。此外，輸出模組丨4係為一液晶 顯示器、投影機或印表機。 如圖2所示，應用模組丨3所執行之風險等級運算程 序係包括下列步驟： 依據此風險參數運算表，從此讀取模組所讀取之此等 產品風險資料運算出複數個風險參數所分別具有的數值； 依據此風險係數值運算表，從此等風險參數所分別具 有的數值運算出一風險係數值；以及 依據此風險等級分類表，從此等風險參數所分別具有 的數值及此風險係數值得出此綠色產品之此風險等級分類 結果。 、 以下，將配合圖式，詳細說明本發明一實施例之適用 於綠色產品的風險管理系統之應用模組所執行之風險等級 運算程序。 如圖3A所示，其係一對應於一綠色產品（如IpH〇NE 手機的觸控面板）的產品風險資料表。此產品風險資料表係 依據有毒物質禁用指令（RoHS指令）製定，且包括⑺筆產 品風險寊料（3筆廠商基本資料、3筆廠商自我檢核資料及 3筆產品特徵資料）。一般而言，產品風險資料表可包含⑺ 至300筆產品風險資料，並非以圖3A所示之1〇筆產品風 險資料為限。 首先，本發明一實施例之適用於綠色產品的風險管理 系統之讀取模組1 1讀取圖3 A所示之產品風險資料表所包 含的10筆產品風險資料。接著，本發明一實施例之適用於 201218109 ...录色f品的風險官理系統之應用模組13便依據 數運昇表」’從前述之10筆產品風險資料運算 風 險參數所分別具有的數值。需注意的是，每一筆 資料均包含至少-個難，且每個襴位均具有險 所示之「預備輸出之國家」這筆產品風險資 枓中，其便包含5個攔位’即「比利 「播古、：t部.土祕 w w X a」In addition, in the embodiment, the foregoing reading module 1 is used for reading the plurality of product risk data included in the product risk data table, and the database module 12 is configured to store a risk parameter calculation table. (not shown in the figure), a risk coefficient value calculation table (not shown) and a risk level classification table (not shown) are included therein. As for the risk parameter calculation table (not shown), the risk factor value calculation table (not shown) and the type and composition of the risk classification table (not shown), the same will be described in conjunction with the schema. Rear. On the other hand, in the risk management system t applicable to the green product in an embodiment of the present invention, the application module 13 is coupled with the reading module u and the data group, and the output module 14 and the application module 13 Face. Moreover, in the present embodiment, the reading description 丨丨^ 传八肺Λ 料 料 library module 12 and the output module 14 = knife error by - Internet (not shown) and application mode: this The invention is applied to the risk management of the green product in the embodiment of the invention; the application & group 13 is operated by the execution-risk level to calculate a risk level classification, and the result is output to the external output module 14 The risk level classification system is the risk management system for the green product. The m =, ^_ group 11 is the commonly used input access fabric reader, image capture device and Loubei warehouse handle. 'Group 12 is a hard disk, a CD player or a remote database connected by the shoulder of the network 201218109. In addition, the output module 丨4 is a liquid crystal display, a projector or a printer. As shown in FIG. 2, the risk level calculation program executed by the application module 包括3 includes the following steps: According to the risk parameter operation table, the product risk data read by the reading module is calculated to calculate a plurality of risk parameters. According to the risk coefficient value calculation table, a risk coefficient value is calculated from the numerical values respectively of the risk parameters; and the risk value according to the risk level classification table, and the respective values from the risk parameters The coefficient is worth the result of this risk rating for this green product. Hereinafter, the risk level calculation program executed by the application module of the risk management system applicable to the green product according to an embodiment of the present invention will be described in detail with reference to the drawings. As shown in FIG. 3A, it is a product risk data sheet corresponding to a green product (such as a touch panel of an IpH〇NE mobile phone). This product risk data sheet is based on the Toxic Substances Directive (RoHS Directive) and includes (7) pen product risk data (3 basic manufacturer data, 3 manufacturer self-checking materials and 3 product characteristics data). In general, the product risk data sheet may contain (7) to 300 product risk data, not limited to the 1 product risk information shown in Figure 3A. First, the reading module 1 1 of the risk management system for green products according to an embodiment of the present invention reads 10 product risk data contained in the product risk data table shown in Fig. 3A. Then, the application module 13 of the risk management system applicable to the 201218109 ... recording color product according to an embodiment of the present invention has a risk parameter according to the number of the above-mentioned 10 product risk data calculation parameters respectively. The value. It should be noted that each piece of information contains at least one difficulty, and each position has the risk of the product of the “prepared output country” indicated by the risk. Billy "sow ancient,: t. earth secret ww X a"
其他 「捷克、法國、希臘、葡萄牙」'「其他歐洲國家」 非歐洲國家」、「無法得知」4每個攔位均具有—攔位值 即〇%」、「〇〜20%」'「现〜50%」及「5〇%以上」四 者其中之一 ’如圖3B所示。 其-人’在本實施例中’前述之複數個風險參數係η 1 固風險參數。其中’$ 23個風險參數包含5個材料風險來 數’分別為「揮發性物質風險因子⑷」、「高風險材料/零 件比例M2」、「技術文件完整性⑷」、「製程及進料監控及 檢驗機制M4」及「危險化學物f含量分料5」；6個環境 風險參數，分別為「高關注商品程度ei」、「輸出國風險程 度^2」、產品生命週期E 3」'「供應商來源e 4」、「投保廠商 的。°牌核值E5」及「投保廠商之可信賴程度Ε6」；以及 個自我評话風險參數係分別為「G p品質管理系統i i」、「文 件^記錄管理12」、「環保合約評審13」、「設計管理14」、「變 b里15」、採購及供應商管理」、「製造管理17」、「測 式寿判义18」、「不合格品的管理和追溯能力19」、「糾正處 置no」'「教育訓練Iu」及「風險管理π2」。 201218109 匕卜本發明—霄施例之適用於綠色產品的風險管理 系統之應用模組13係依據不同的風險參數運算公式，從前 述之w筆產品風險資料運算出這23個風險參數（m卜 5 E 1 E6及11〜j】2)所分別具有的數值。例如，「輸出 國風險程度E2」所具有的數值，便是從圖3B所示之產品風 險資料巾’依據-「紐參數運算表」所包含的—運算公 式運异付出。其$，圖3B所示之5個攔位均具有—「加權 值J ’而每種欄位值亦具有一相對應的「運算參數」，如圖 3C所示。 所以，運异出「輸出國風險程度E2」所具有之數值的 運算過程可表示為： 9^〇：35 /0.9^^2^035 /0.9 + 1X0.1/0.9 + (式 1) 9 1 / 0.1 / 0.9 + 9 / 〇 / 0.9 .53 隨後，本發明一實施例之適用於綠色產品的風險管理 系統u模組丨3便依據—「風險係數值運算表」，從前 述之複數個風險參數所分別具有的數值運算出—風險係數 值。在本實施例中，應用模組13係據圖3D所示之風險係 數值運算表’從前述之23個風險參數（Ivn〜M5 ' e卜E6及 11〜11 2)所分別具有的數值，運算出一風險係數值如圖 所示。 最後，本發明一實施例之適用於綠色產品的風險管理 π，’先之應用模組丨3再依據一「風險等級分類表」，從前述 之複數個風險參數所分別具有的數值及風險係數值得出此 201218109 綠色產品（如IPHONE手機的觸控面板）之此風險等級分類 結果。其中’每一風險參數均具有一「風險等級類別描述」 辦別條件。 在本實施例中，前述之之風險等級分類表係包括9個 風險等級分類，且此綠色產品之此風險等級分類結果則為 這9個風險等級分類其中之一，如圖3E所示。而且，這$ 個風險等級分類分別具有不同的風險等級類別敘述，以得 出前述之風險等級分類結果（第4類）。因為，在第4類中， 其「風險等級類別描述」（辦別條件）係：9〈「風險係數值」 $ 1 〇 ’材料風險參數類別（包含Μ1〜M5)之小計+環境風險參 數類別（包含Ε1〜Ε6)之小計2 7。 而如前所述，在得出此綠色產品（如IPHONE手機的觸 控面板）之此風險等級分類結果（第4類）的過程中，本發明 —實施例之適用於綠色產品的風險管理系統之應用模組係 依序依據一風險參數運算表、圖3〇所示之風險係數值運算 表及圖3E所示之風險等級分類表而執行前述之「風險等級 運算程序」。 在實務上，這3個表格均可依據綠色產品市場環境變 化而對應調整其内容。例如，若根據新聞報導指出’歐盟 近幾個禮拜對於某一項綠色產品（如IPHONE手機的觸控面 板）開始採用較為嚴格的抽驗標準時，本發明一實施例之適 用於綠色產品的風險管理系統便可調整對應於此趨勢之風 險係數值運算表中，如將屬於環境風險參數之「高關注商 品程度E1」及「輸出國風險程度E2」2個風險參數所對應 201218109 之加權權重」便需要調整（如調升）。如此，本發明一實 - ^之適用於綠色產品的風險管理系統便可即時地將此市 場環境變化反應在最後得出之風險等級分類結果中。 因此，本發明一實施例之適用於綠色產品的風險管理 系：之應用模組除了可依據一對應於一綠色產品的產品風 險貝料表所包含的複數筆產品風險資料，得出此綠色產品 之風險等級分類結果以外，其更可藉由調整其風險參數運 算表或其風險係數值運算表之内容的方式，即時地反應出 因綠色產品市場環境變化而導致之風險等級分類差異。 # ，圖4所示，本發明另一實施例之適用於綠色產品之 几險s理系統係包括一讀取模組4卜一資料庫模組42、一 %用模組43、-輪出模組44 ' -檢核模組45、一實地稽 核資料輸入模組46及一要保條件建議模組47。其中本 ^明另-實施例之適用於綠色產品的風險管理系統係配合 ，應於一綠色產品的差品風險資料表（圖中未示），且此 風險資料表包含複數筆產品風險資料。此外，在本實 :例中，前述之讀取模組41係用於讀取前述之產品風險資 籲 2所包含的複數筆產品風險資料，資料庫模組42則用於 (圖子風險參數運算表（圖中未示）、一風險係數值運算表 申未示）及一風險等級分類表（圖中未示）於其中。 ^方面，在本發明另一實施例之適用於綠色產品的 =®理系統中，應用模組43係與讀取模組4丨及資料庫 吴組42輕合，輸出模組44則與應用模組43搞合。而且， 12 201218109 在本實施例中，讀取模組41、資料庫模組42及輸出模組 44係分別藉由一網際網路（圖中未示）與應用模組43耦合。Other "Czech, French, Greek, Portuguese" '"Other European countries" Non-European countries", "Unable to know" 4 Each block has - the block value is 〇%", "〇~20%" Now one of the four of the "50%" and "5〇%" is shown in Figure 3B. The human-in person 'in this embodiment' has a plurality of risk parameters η 1 solid risk parameters. The '$23 risk parameters include 5 material risk counts' are "volatile material risk factor (4)", "high risk material/part ratio M2", "technical document integrity (4)", "process and feed monitoring" And inspection mechanism M4" and "Hazardous Chemicals f Content Fraction 5"; 6 environmental risk parameters are "High Concern Product Level ei", "Output Country Risk Level ^2", Product Life Cycle E 3"'" Supplier source e 4", "Insurance vendor's .° brand value E5" and "Insurance vendor's trustworthiness Ε6"; and a self-assessment risk parameter is "G p quality management system ii", "Document ^Record Management 12", "Green Contract Review 13", "Design Management 14", "Change B 15", Procurement and Supplier Management", "Manufacturing Management 17", "Measurement Life Judgment 18", "No" Management and traceability of quality products 19", "corrective disposal no", "educational training Iu" and "risk management π2". 201218109 本 本 本 本 本 本 本 本 本 本 本 本 本 本 本 本 本 本 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用 应用5 E 1 E6 and 11 to j] 2) The values respectively have. For example, the value of "output country risk level E2" is the value of the operation formula from the product risk data sheet shown in Fig. 3B based on the "new parameter calculation table". Its $, the five blocks shown in Figure 3B all have - "weighted value J" and each field value also has a corresponding "operational parameter", as shown in Figure 3C. Therefore, the operation process of the value of the "export country risk degree E2" can be expressed as: 9^〇:35 /0.9^^2^035 /0.9 + 1X0.1/0.9 + (Formula 1) 9 1 / 0.1 / 0.9 + 9 / 〇 / 0.9 .53 Subsequently, the risk management system u module 3 applicable to the green product according to an embodiment of the present invention is based on the "risk coefficient value calculation table", from the foregoing plurality of risks The values of the parameters respectively are calculated as the risk factor value. In the present embodiment, the application module 13 is based on the risk coefficient value calculation table shown in FIG. 3D from the aforementioned 23 risk parameters (Ivn~M5 'e E E6 and 11 to 11 2) respectively. Calculate a risk factor value as shown. Finally, the risk management π applied to the green product according to an embodiment of the present invention, the first application module 丨3 is further based on a “risk level classification table”, and the values and risk coefficients respectively obtained from the plurality of risk parameters mentioned above. It is worthwhile to report the results of this risk level classification for this 201218109 green product (such as the touch panel of IPHONE mobile phone). Among them, 'each risk parameter has a "risk level category description" business conditions. In this embodiment, the foregoing risk level classification table includes nine risk level classifications, and the risk level classification result of the green product is one of the nine risk level classifications, as shown in FIG. 3E. Moreover, the $ risk classification categories have different risk level category descriptions to obtain the aforementioned risk level classification results (category 4). Because, in category 4, the “risk level category description” (class condition) is: 9 <“risk factor value” $ 1 〇 'material risk parameter category (including Μ1~M5) subtotal + environmental risk parameter category Subtotal 2 7 (including Ε1~Ε6). As described above, in the process of deriving the risk classification result (category 4) of the green product (such as the touch panel of the IPHONE mobile phone), the present invention - the risk management system applicable to the green product in the embodiment The application module sequentially executes the aforementioned "risk level calculation program" according to a risk parameter calculation table, a risk coefficient value calculation table shown in FIG. 3A, and a risk level classification table shown in FIG. 3E. In practice, these three forms can be adjusted according to the changes in the green product market environment. For example, if it is pointed out in the news report that the EU has adopted stricter sampling standards for a certain green product (such as the touch panel of an IPHONE mobile phone) in recent weeks, the risk management system for green products according to an embodiment of the present invention is used. It is necessary to adjust the risk coefficient value calculation table corresponding to this trend. For example, the weighting weight of 201218109 corresponding to the two risk parameters of “high attention product level E1” and “output country risk level E2” belonging to the environmental risk parameter is required. Adjustment (such as lifting). In this way, the risk management system applicable to the green product of the present invention can immediately react the market environment change to the final risk level classification result. Therefore, the risk management system applicable to the green product according to an embodiment of the present invention: the application module can obtain the green product according to the plurality of product risk data included in the product risk beneficiary table corresponding to a green product. In addition to the risk level classification result, it can further reflect the difference in risk level classification caused by the change of the green product market environment by adjusting the content of its risk parameter calculation table or its risk coefficient value calculation table. #, FIG. 4 shows that the RIS system for green products according to another embodiment of the present invention includes a reading module 4, a database module 42, a % module 43, and a round out The module 44' - an inspection module 45, a field audit data input module 46, and a conditional recommendation module 47. The risk management system applicable to the green product of the present invention is in accordance with the difference risk data sheet (not shown) of a green product, and the risk data sheet includes a plurality of product risk data. In addition, in the present embodiment, the foregoing reading module 41 is used to read the plurality of product risk data included in the aforementioned product risk capital claim 2, and the database module 42 is used for (the graph risk parameter). A calculation table (not shown), a risk coefficient value calculation table (not shown), and a risk level classification table (not shown) are included therein. In the aspect of the embodiment of the present invention, the application module 43 is in direct contact with the reading module 4 and the database group 42, and the output module 44 is applied. The module 43 is engaged. Moreover, in the present embodiment, the reading module 41, the database module 42 and the output module 44 are respectively coupled to the application module 43 via an internet (not shown).
除此之外’檢核模組45係與應用模組43耦合，以檢 核讀取模組4丨所讀取之複數筆產品風險資料是否正確。而 且，當檢核模組45檢核出前述之複數筆產品風險資料發生 錯誤時，如廠商基本資料之代表人未填入或產品特徵資料 之預備輸出之國家未填入等，應用模組43便藉由輸出模組 44輸出一提示信號，以提醒本發明另一實施例之適用於綠 色產品的風險管理系統的操作者及時修正前述之錯誤。 此外，本發明另一貫施例之適用於綠色產品的風險管 理系統之實地稽核資料輸入模組46係與應用模組43耦 合，以供一實地稽核人員將複數筆實地稽核資料輸入至本 發=另-實施例之適用於綠色產品的風險管理系統中。在 本實她例中’實地稽核資料輸人模組46藉由—網際網路金 應用模組43,使得前述之實地稽核人員可於遠端（如被稽 核之礙商卫廠）’即時地將前述之複數筆實地稽核資料輸入 Ϊ本發明另—實施例之適用於綠色產品的風險管理系統 "，J 固分 π Μ π ^ ^ K他列炙過用於綠色產品 二險管理系統之要保條件建議模組47係與應用模組43 ^以依據讀取模組41所讀取之複數筆產品風險資料及 43藉由執行—風險等級運算㈣所得出之風險 示^ 果運异出複數個要保條件建議資料（圖中未 ' 貫施例中’前述之複數個要保條件建議資料(圖 201218109 令未不）均至少包含一建議保險 保險額度Π1Φ本_、 一 、口甲禾不）及一建歲 係藉由"n V ’且&些要保條件建議資料（®中未示） 料（圖=44輸出至外界。至於這些要保條件建議資 W未示）的型態與組成’則將配合圖式敘述於後。 田發明另一實施例之適用於缚洛；$ σ认 卜 系統運作時，庳用έ 的風險管理 的方係藉由執行-風險等級運算程序 等級分類結果輸出至外界::本實 係a 、+ 隹本貫施例中，輸出模組44 “二二1 示器。但是’在其他的應用環境中，輸出模 亦可為他類型的顯示單元，如投影機或印表機。 理戶ΓΓ本發明.另―實施例之適用於綠色產品的風險管 應用柄組亦藉由執行一風險等級運算程序的方 工仔出:風險等級分類結果。由於此風險等級運算程序與 圖2所示之風險等級運算程序相同，故關於本發明另一實 _之適用於綠色產品的風險管理系統之應用模組如何從 一對應於-綠色產品的產品風險資料表（圖中未示）所包含 複數筆產品風險資料得出此綠色產品之風險等級分類結果 的詳細步驟’在此便不再贅述。 但需注意的是，由於實地稽核資料輸入模組已將前述 之複數筆實地稽核資料輸入至本發明另—實施例之適用於 綠色產品的風險管理系統中，故應用模組在執行一風險等 級運算程序的方式時，除了原本的複數筆產品風險資料以 外亦會將則述之複數筆實地稽核資料一併納入運算所使 用之資料範圍内。 201218109 如前所述’本發明另一實施例之適用於綠色產品的風 險管理系統之應用模組係從一綠色產品（如IPHone手機的 觸控面板）的產品風險資料表（圖中未示）所包含複數筆產 品風險資料中，得出此綠色產品之風險等級分類結果為（第 4類而本發明另一實施例之適用於綠色產品的風險管理 系統之要保條件建議模組便依據此綠色產品的複數筆產品 風險資料及風險等級分類結果為（第4類）運算出複數個要 保條件建議資料。其中，這些要保條件建議資料均至少包 含一建議保險費率及一建議保險額度，如圖5所示。隨後， 這些要保條件建議資料便藉由輸出模組44輸出至外界。 而如圖5所示，本發明另一實施例之適用於綠色產品 的風險m統之要保條件建議模組共運算出3筆要保條 件建議資料’而這3筆要保條件建議:㈣均包含—建議保 險費率及-建議保險額度。例如，在編號t之要保條件建 儀貧料中，建議保險f率係為Q 85 %。，建議保險額度則為 US$18,〇〇〇，_;在編號2之要保條件建議資料中，建議 二險…為…。，建議保險額度則為⑽ 15，〇 〇 〇，〇 〇 〇，在編喊 3 之 i 权 γ欠 /4· λ. ^In addition, the verification module 45 is coupled to the application module 43 to check whether the plurality of product risk data read by the reading module 4 is correct. Moreover, when the verification module 45 detects that the foregoing plurality of product risk data is incorrect, if the representative of the manufacturer's basic data is not filled in or the country of the preliminary output of the product feature data is not filled, the application module 43 The output module 44 outputs a prompt signal to remind the operator of the risk management system applicable to the green product of another embodiment of the present invention to correct the aforementioned error in time. In addition, the field audit data input module 46 of the risk management system applicable to the green product of another embodiment of the present invention is coupled with the application module 43 for a field auditor to input a plurality of field audit data to the local hair = The other embodiment is applicable to a risk management system for green products. In this case, the 'real audit data input module 46 by means of the Internet gold application module 43, so that the aforementioned field audit personnel can be remotely (such as the audited business factory) The above-mentioned plurality of physical auditing materials are input into the risk management system for green products according to another embodiment of the present invention, and the J solid score π Μ π ^ ^ K is listed in the green product second insurance management system. The conditional recommendation module 47 and the application module 43 are based on the plurality of product risk data read by the reading module 41 and 43 by the execution-risk level calculation (4). A number of conditions for the proposed conditions (in the figure, the above-mentioned multiple requirements for the conditions to be guaranteed (Figure 201218109 is not required) contain at least one recommended insurance coverage Π1Φ本_, 一, 口甲禾No) and the establishment of the old system by "n V 'and & some of the conditions to be recommended (not shown in the ® material) (Figure = 44 output to the outside world. As for these requirements, the requirements are not shown) Type and composition' will be described in conjunction with the schemaAnother embodiment of the field invention is applicable to the binding; when the sigma recognition system is in operation, the risk management system of the invention is output to the outside world by the execution-risk level calculation program level classification result:: the real system a, + In this example, the output module 44 is “two or two.” But in other application environments, the output module can also be his type of display unit, such as a projector or a printer. The risk management application handle group applicable to the green product of the present invention is also generated by the execution of a risk level calculation program: the risk level classification result. Since the risk level calculation program is shown in FIG. 2 The risk level calculation procedure is the same, so how the application module of the risk management system applicable to the green product according to another embodiment of the present invention includes a plurality of articles from a product risk data table (not shown) corresponding to the -green product The detailed steps of the product risk data to obtain the risk classification result of this green product 'will not be repeated here. However, it should be noted that since the field audit data input module has already used the above-mentioned multiple pens The local audit information is input into the risk management system applicable to the green product of the other embodiment of the present invention, so when the application module executes a risk level calculation program, in addition to the original multiple product risk data, The plurality of field audit materials are included in the data used in the calculation. 201218109 As described above, the application module of the risk management system applicable to the green product according to another embodiment of the present invention is from a green product (such as In the product risk data table (not shown) of the touch panel of the IPHone mobile phone, the risk classification result of the green product is obtained (the fourth category and another embodiment of the present invention) The requirements for the risk management system for green products are based on the multiple product risk data and risk classification results of the green product (category 4) to calculate a number of required conditions. The conditional information to be guaranteed includes at least one recommended insurance rate and one recommended insurance amount, as shown in Figure 5. Subsequently, The conditional recommendation information is output to the outside world by the output module 44. As shown in FIG. 5, another embodiment of the present invention is applicable to the risk of the green product. The pen must guarantee the conditional information 'and these three conditions to be guaranteed: (4) both include - the recommended insurance rate and the recommended insurance amount. For example, in the number t to protect the condition of the building, the recommended insurance rate is For Q 85 %., the recommended insurance amount is US$18, 〇〇〇, _; in the conditional recommendation information of No. 2, it is recommended that the second insurance... is..., the recommended insurance amount is (10) 15, 〇〇〇 , 〇〇〇, in the shouting 3 i right γ owe /4· λ. ^
要保條件建議資料中，建議保險 費率係為0.65 %。，建譎保A ▲ 保險額度則為us$ 1MGG，_e而 3筆要保條件建議杳^ 4 « '妾者便藉由輸出模組輸出至外 界，如顯不於一液晶顯+盟L上、， 請書上）。 ㈤為益上或列印於一紙張上（如要保申 综上所述’由於本發明之適用於 理系統之制模崎行— 之風險g L險寺 '.及運具程序」，且此風險 201218109 等級運算程序包括下列步驟：依據一風險參數運算表’從 本發明之適用於綠色產品之風險管理系統之讀取模組所讀 取之複數筆產品風險資料運算出複數個風險參數所分別具 有的數值，依據一風險係數值運算表，從前述之複數個風 險參數所分別具有的數值運算出一風險係數值；以及依據 風險等級分類表，從前述之複數個風險參數所分別具有 的數值及前述之風險係數值得出一綠色產品之一風險等級 分類結果。而且，前述之「風險等級運算程序」中所使用 到的「風險參數運算表」'「風險係數值運算表」及「風險 等級分類表」i句料力本發明之適用力綠色產品之風險管 理^統之資料庫模組中，故本發明之適用於綠色產品之風 險管理系統可依據一對應於一綠色產品之產品風險資料表 所包含的複數筆產品風險資料，得出此綠色產品之風險等 級分類結果。 —除此之外，由於儲存於本發明之適用於綠色產品之風 險管理系統之資料庫模組中的「風險參數運算表」及「風 險係數值運算表」均可因為於綠色產品市場環境變化而調 整它們的内容’如改變某一風險參數之運算公式或調升某 一風險參數於運算出-風險係數值之過財所佔有的比 例’故本發明之適用於綠色產品之風險管理线可藉由調 整其風險參數運算表或其風險係數值 式，即時地反應出因綠色產品市場環境變 等級分類差異。 201218109 上述實施例僅係為了方便說明而舉例而已，本發明 所主張之權利範圍自應以申請專利範圍所述為準，而非僅 限於上述貫施例。 【圖式簡單說明】 圖1係本發明一實施例之適用於綠色產品之風險管理系統 的示意圖。 圖2係顯示本發明一實施例之適用於綠色產品之風險管理 系統之應用模組所執行之風險等級運算程序的示意圖。 圖3 A係顯示本發明一實施例之適用於綠色產品之風險管 理系統之讀取模組所讀取之產品風險資料表的示意圖。 圖3B係顯示在本發明一實施例之適用於綠色產品之風險 管理系統之讀取模組所讀取之產品風險資料表產品風險資 料表中’其中一筆產品風險資料所包含之攔位及相對應之 攔位值的示意圖。 圖3C係顯示運算出一風險參數（E2)所具有之數值時所使 用之「風險參數運算表」的示意圖。 圖3D係顯示一儲存於本發明一實施例之適用於綠色產品 之風險管理系統之資料庫模組之風險係數值運算表的示意 圖。 圖3E係顯示一儲存於本發明一實施例之適用於綠色產品 之風險管理系統之資料庫模組之風險等級分類表的示意 圖。 201218109 圖4係本發明另 ^ _ 力—貧施例之適用於綠色產品之風險管理系 統的示意圖。 圖5係顯示本務BH ^ ^ ^ 货4另一貫施例之適用於綠色產品之風險管 讀^之要保條件建議模組所運算出之複數筆要保條件建 議資料的示意圖。 咬 【主要元件符號說明】 1 !、4〗讀取模組 U、42資料庫模組 U、43應用模組 14、44輸出模組 45檢核模組 46實地稽核資料輸入模組 47要保條件建議模組In the conditional recommendation information, the recommended insurance rate is 0.65 %. , Jian Bao Bao A ▲ insurance amount is us$ 1MGG, _e and 3 pens to ensure conditional advice 杳 ^ 4 « '妾 will be output to the outside world through the output module, such as not showing a liquid crystal display + alliance L ,, please ask). (5) to be printed on or printed on a piece of paper (for example, to protect the risk of the application of the system of the invention, the risk of g-azard temples and the means of transport), and The risk 201218109 grading operation program comprises the following steps: calculating a plurality of risk parameters according to a risk parameter calculation table 'from the plurality of product risk data read by the reading module of the risk management system applicable to the green product of the present invention The values respectively have a risk coefficient value calculation table according to a risk coefficient value calculation table, and calculate a risk coefficient value from the plurality of risk parameters respectively; and the risk level classification table, respectively, from the plurality of risk parameters mentioned above The numerical value and the aforementioned risk factor are worthy of a risk classification result of a green product. Moreover, the "risk parameter calculation table" - "risk coefficient value calculation table" and "risk" used in the aforementioned "risk level calculation program" The classification table "i" is intended to be applicable to the risk management of the green product in the database module, so the present invention is applicable to The risk management system of the color product can obtain the risk level classification result of the green product according to the plurality of product risk data included in the product risk data table corresponding to a green product. - In addition, since it is stored in the present invention The "risk parameter calculation table" and "risk coefficient value calculation table" in the database module of the risk management system for green products can adjust their contents because of changes in the green product market environment. The calculation formula of the parameter or the ratio of the risk parameter to the value of the calculation-risk coefficient value. Therefore, the risk management line applicable to the green product of the present invention can be adjusted by its risk parameter calculation table or its risk. The coefficient value formula reflects the difference in classification of the green product market environment in a timely manner. The above-mentioned embodiments are merely examples for convenience of description, and the scope of the claims claimed by the present invention shall be subject to the scope of the patent application, and It is not limited to the above-described embodiments. [Simplified description of the drawings] FIG. 1 is an embodiment of the present invention applicable to 2 is a schematic diagram showing a risk level calculation program executed by an application module of a risk management system applicable to a green product according to an embodiment of the present invention. FIG. 3A shows an embodiment of the present invention. A schematic diagram of a product risk data sheet read by a reading module of a risk management system for a green product. FIG. 3B shows a reading module of a risk management system suitable for a green product according to an embodiment of the present invention. The product risk data sheet read in the product risk data sheet is a schematic diagram of the block included in one of the product risk data and the corresponding block value. Figure 3C shows the value of a risk parameter (E2) calculated. A schematic diagram of a "risk parameter calculation table" used in the present embodiment. Fig. 3D is a diagram showing a risk coefficient value operation table stored in a database module of a risk management system for a green product according to an embodiment of the present invention. Figure 3E is a schematic diagram showing a risk level classification table stored in a database module of a risk management system for a green product according to an embodiment of the present invention. 201218109 Figure 4 is a schematic diagram of a risk management system for green products in accordance with another embodiment of the invention. Figure 5 is a schematic diagram showing the application of the conditional recommendation of the module for the risk management of the green product in another application of the BH ^ ^ ^ goods 4 of the main business. Bite [main component symbol description] 1 !, 4 〗 read module U, 42 database module U, 43 application module 14, 44 output module 45 check module 46 field audit data input module 47 to protect Conditional suggestion module